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SORTIE 6.10.01 User Manual - sortie-nd

1. Behavior reference string Browsed Stochastic Mortality Exponential Growth and Resource Based Mortality This behavior calculates probability of mortality as a function of growth and some second resource The identity of the second resource is unimportant and could be anything from exchangeable calcium levels to soil moisture How it works The probability of mortality for a tree is calculated with the following equation Prob d a R exp b c R G where e Prob is the annual probability of mortality as a value between 0 and 1 e Ris the amount of the second resource e Gis the amount of radial growth in mm yr e ais the Exponential Growth Resource a parameter the mortality at zero growth scaled as a function of the resource R e bis the Exponential Growth Resource b parameter the light dependent mortality e cis the Exponential Growth Resource c parameter the resource dependent mortality e dis the Exponential Growth Resource d parameter The amount of the second resource is captured in a grid object called Resource Currently it is up to you to enter a map of the values for this resource grid for instructions on how to do this see the Grid Setup Window topic This behavior does not in any way alter the values in this grid The mortality probability as calculated above is an annual probability For multi year timesteps the timestep probability is 1 1 AP where AP is the annual probability and X
2. __ f x l dts f x a Psp DBH OBA 1H A DBH H where e Pr fall is the probability of the tree falling e ais the Snag Decay Class Dynamics Tree Fall Alpha parameter e fj is the Snag Decay Class Dynamics Tree Fall Beta parameter for the tree s species e DBH is the DBH in cm e ois the Snag Decay Class Dynamics Tree Fall Delta parameter e is the Snag Decay Class Dynamics Tree Fall Theta parameter e BA is the basal area m2 ha of live trees in the current tree s cell of the Snag Decay Class Dynamics Basal Area grid e iis the Snag Decay Class Dynamics Tree Fall Iota parameter e His whether 1 or not 0 a harvest occurred this timestep e Ais the Snag Decay Class Dynamics Tree Fall Lambda parameter For snags that were created in a previous timestep the behavior represents the probability of falling during the timestep as o e Pr jal e f x a Pspp yac In DBH tn In DBH t x BAH where e Pr fall is the probability of the snag falling e ais the Snag Decay Class Dynamics Snag Fall Alpha parameter e spp is the Snag Decay Class Dynamics Snag Fall Beta parameter for the tree s species e Yac is the Snag Decay Class Dynamics Snag Fall Gamma X parameter where X is the snag s decay class e DBH is the DBH in cm e Cis the Snag Decay Class Dynamics Snag Fall Zeta parameter e isthe Snag Decay Class Dynamics Snag Fall Eta parameter e xis the Snag Decay Class Dynamics Snag Fa
3. If you want the new data members to be written to the file that SORTIE writes make sure you put them in the list of file columns If new data members have been created SORTIE expects the executable each time it is called to write a file with the list of trees it wishes to update and the new values for these data members You can only make changes to the new data members that you create You cannot change any other attribute of a tree The user executable The user executable launches runs and quits once per harvest timestep SORTIE waits for it to finish before resuming This means it must do any necessary initialization and setup each harvest timestep The executable can be written in any language and can do anything it wishes The only two requirements is that it be a standalone executable and that it produce the file of trees to harvest that SORTIE expects The executable should be prepared for the condition that there are no trees in the file SORTIE writes and should write empty files if it doesn t want any trees harvested or updated SORTIE s behavior cannot be guaranteed in the event of a crash in the user executable The executable probably has its own input data for setup If it takes arguments during launch you can give SORTIE a string to pass to the executable in Arguments to pass to the executable on the Edit Harvest Interface window SORTIE provides a convenience feature for those executables that read setup para
4. O Harvest and disturbance behaviors Light behaviors Growth behaviors Mortality behaviors Substrate behaviors Tree removal behaviors Snag dynamics behaviors Disperse behaviors Seed predation behaviors Establishment behaviors Planting behaviors Analysis behaviors Individual grid documentation e Files in SORTIE ND o oo Oo O O Parameter files Detailed output files Summary output files Detailed output map files Tab delimited tree map files Files from previous versions of SORTIE e Data visualization O Output chart types e References e Glossary e SORTIE ND License e GPL License What s New Version 6 10 Note If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 10 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 10 e SORTIE now uses Java version 6 You ll need to download this version if you do not already have it e New allometry functions for crown shape non spatial density dependent calculates crown shape as a function of overall plot density and NCI calculates crown shape as a function of local neighborhood composition e The Lagged post harvest growth behavior incorporates a lag period after a harvest during which tree growth is slowed e The Michaelis Menton with negative growth behavior uses a modified Michaelis
5. Setup tree save options window For more on the different tree types see the trees topic For more on the data available to save see the tree data member list topic This window is reached from the Setup detailed output file window It allows you to choose options for tree data for a detailed output file What you save for output depends on what data you want to be available to you after the run For a list of data visualization options and what you need to save to use them see the Data Visualization topic There are four tabs at the top of the window one each for seedlings saplings adults and snags For each of these tree types you choose each piece of data that you want to save and how often you want to save it Some of the data always apply and will always be available Other types of data only exist when certain behaviors that need them have been chosen for the current run Each piece of data may not be available for all species The window will sort out and ignore any invalid combination You can work through the process below as many times as you like until you have your settings the way you want them Select one or more species Begin here by choosing the species of the data you want to save You can Ctrl click to select multiple species at once For each tree save For the species that you have selected click on what you want to save for each tree of that species You can Ctrl click to select multiple data at once
6. Save every X timesteps Choose how often in timesteps you want to save the data The number 1 saves every timestep The number 0 saves only the first and last timesteps Any other number X saves data every X timesteps Add Use the Add button once you have chosen your data and how often you wish to save it What s being saved This is a list of all of the save settings that are currently set up for this tree type If it is not displayed here it won t be saved Remove If you would like to erase a setting select it in the What s being saved box and click Remove 25 Jan 2005 12 52 PM Set up grid save options This window is reached from the Setup detailed output file window It allows you to choose options for grid data for a detailed output file Each grid has different data associated with it so you must choose them separately You choose each piece of data you want to save and how often you want to save it You can work through the process below as many times as you like until you have your settings the way you want them What you save for output depends on what data you want to be available to you after the run For a list of data visualization options and what you need to save to use them see the Data Visualization topic Select a grid Choose one of the current run s active grids from this drop down list The grids that appear in that list depends on the list of behaviors for this run editable using the Edit simulation
7. Weibull Canopy Dispersal The dispersal value for the Weibull function under canopy conditions or under non masting conditions in the case of Masting spatial disperse see equation below This is only required if the canopy probability distribution function is Weibull Used by the Gap spatial disperse Non gap spatial disperse and Masting spatial disperse behaviors Weibull Canopy Theta The 0 for the Weibull function under canopy conditions or under non masting conditions in the case of Masting spatial disperse see equation below This is only required if the canopy probability distribution function is Weibull Used by the Gap spatial disperse Non gap spatial disperse and Masting spatial disperse behaviors In the case of the last the canopy probability distribution function is the only one used for a species e Weibull Gap Annual STR The annual STR value Standardized Total Recruits or all seeds produced by a 30 cm DBH tree in one year for the Weibull function under gap conditions see equation below This is only required if the gap probability distribution function is Weibull Used by the Gap spatial disperse behavior e Weibull Gap Beta The f value for the Weibull function under gap conditions see equation below This is only required if the gap probability distribution function is Weibull Used by the Gap spatial disperse behavior e Weibull Gap Dispersal The dispersal value for the Weibull function under gap conditions
8. Growth is compounded over multiple timesteps with the equation G Y 1 1 diam where e Gis the amount of diameter growth for the timestep in cm e diam is the diameter of the tree in cm at 10 cm height if seedling or sapling or DBH if adult e Tis the number of years per timestep Note that setting the C parameter in the equation above to 0 eliminates the second resource and makes this equivalent to the Non limited relative growth behavior How it works The amount of the second resource is captured in a grid object called Resource Currently it is up to you to enter a map of the values for this resource grid for instructions on how to do this see the Grid Setup Window topic This behavior does not in any way alter the values in this grid Once growth has been calculated and applied to the tree s diameter tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied You must also enter a map of second resource values into the Resource grid Behavior reference string Double resource relative growth diam with auto height Double resource relative growth diam only How it works This behavior calculates growth exactly like the Double resource relative growth diam with auto height behavior Height is u
9. If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 04 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 05 e The Substrate behavior has been rewritten to combine all current substrate models into one behavior e New establishment behavior Establishment with Microtopography that allows seedlings to have a rooting height above the ground e Two new allometry equations for crown shape the Chapman Richards function e The stock and stand tables for detailed output now have a mean DBH column e The equation for mean annual increment in the stock table has changed e Bug fix seedlings that use either the GLI light or Sail light behaviors automatically use a top of crown fisheye photo point e Changes have been made to the Parameters window to make parameter editing easier e Changes have been made to output table formatting to make them easier to read Version 6 04 released May 16 2005 Note If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 04 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 04 e You can now choose the appropriate allometry equation for each species for each life history stage e You can now set the height boundary between seedl
10. N A 3 b n gt k l mmy Xp 5 inn WM 0 5 Dite o L 30 i k T 1 D i tory where May FF Ne c mma Xn Y Ab oo n n e L and where e Riis the density m2 of seedlings at a given point i e STR the standardized total recruits is the number of seedling recruits produced by a 30 cm DBH parent tree the Lognormal Canopy Annual STR or Lognormal Gap Annual STR parameters e DBH is the DBH in cm of the k T parent trees within a specified radius of location i e mix is the distance in meters from point i to the kth parent tree e Xo is the mean of the function the Lognormal Canopy Xo or Lognormal Gap Xo parameters e Xj is the standard deviation of the function the Lognormal Canopy X or Lognormal Gap X parameters e isa disperse parameter the Lognormal Canopy Beta or Lognormal Gap Beta parameters The maximum distance that seeds are allowed to disperse is the length of the grid in the longest direction up to a maximum of 1000 meters Because of the torus shape of the plot a seed deposited at the very limit of the distance could end up back underneath the parent tree For this reason if you are using a very flat dispersal kernel you may wish to consider a non spatial disperse method The normalizer Equation 3 of Ribbens et al 1994 serves two functions It reduces parameter correlation between STR and the dispersion parameter D and scales the distance depende
11. Otherwise you can choose a probability distribution function and the number of seeds is treated as the mean of that function You may need to supply additional parameters depending on the probability distribution function you choose This randomization applies to the seeds from all disperse behaviors that you have chosen There are four choices for probability distribution functions the normal the lognormal the Poisson and the negative binomial The normal distribution is where o is the function standard deviation Mean is zero The lognormal distribution is f ang x Me p 1 Io where G is the function mean and o is the standard deviation The Poisson distribution is af A i a PAX Uv T fi where A is the function mean The negative binomial distribution is ni Sep dax c u V ey Pix u kj 7 1 2 rewal utk where u is the function mean and k is the clumping parameter This is Equation 3 103 from Hilborn and Mangel Disperse parameters Beta for Stumps The f value for stumps Stumps use the same probability distribution function as the live members of their species Only required if a behavior is being applied to stumps Used by the Gap spatial disperse and Non gap spatial disperse behaviors Canopy Function Used The probability distribution function to be used to distribute seeds in canopy conditions For the behaviors Non gap spatial disperse and Masting spatial disperse these
12. The lower bound of the size class is the size class below it or zero if there is no lower class This means you may need one extra class in order to define a lower bound for your smallest class if you want its lower bound to be greater than zero The list of currently defined size classes is in the list at the left of the window To add a new size class type in its upper DBH bound in the box and click Add To remove an existing class select it in the list to the left and click Remove To define a size class for seedlings add a size class with an upper limit of 0 29 Feb 2008 02 42 PM Manage tree maps This window is reached from the menu option Edit gt Tree Population 2 Manage tree maps in the main SORTIE ND window This allows you to manage tree maps as an addition to the tree population Add tree map This lets you load a tab delimited tree map file and add it to your current parameter file These trees will add to any tree maps already loaded You will be given the option of adding the file to the parameter file or keeping it separate The first method is almost always preferred However sometimes a very large map file will make the parameter file too big for SORTIE to read In this case the text file can be kept as a separate file and only its filename can be added SORTIE ND will then read the file directly when the run begins Remove tree map trees If there is a tree map loaded then the button marked Remove tree map
13. The normal distribution is defined by the PR Mean DBH cm for Stochastic Growth and PR DBH Standard Deviation for Stochastic Growth parameters and represents the distribution of DBH values NOT growth values The amount of growth for a tree is Y 2 D D where Y is the amount of growth D is the new diameter chosen from the normal distribution and D is the previous diameter This means that growth can be negative The effect is to create a tree population with normally distributed diameters where any individual tree may jump from place to place within the distribution How to apply it This function can be applied to seedlings saplings or adults of any species Any tree using this behavior must also use a height only growth behavior Behavior reference string PR semi stochastic diam only Puerto Rico storm bi level growth diam with auto height This behavior increments growth according to two possible growth equations one to be used in low light conditions and the other to be used in high light conditions This behavior was originally created for the Puerto Rico model How it works Light levels come from the Storm Light grid produced by the Storm Light behavior The threshold between the use of the high light and low light functions is set in the PR Storm Bi Level Threshold for High Light Growth 0 100 parameter The function used in low light conditions is Y a b diam T where e Y amount of diameter grow
14. The paper above outlines 9 different biomass equations in Table 6 as follows ID Equation 1 log10 biomass a b log10 dia 2 In biomass a b dia c In dia D 3 In biomass a b In dia c d e In dia 4 biomass a 4 b dia c dia 5 biomass a b dia c dia d dia 6 biomass a exp b c In dia d dia 7 biomass a b dia dia d 8 logl00 biomass a b log10 dia 9 In biomass In a b In dia In all equations dia is DBH You choose the equation ID that you wish to use for each species There are many different published parameters using the equation forms above which use a range of different units Thus you specify what units dia that is DBH is in and what units of biomass the equation is expected to produce The possible DBH units are millimeters mm centimeters cm and inches in the possible biomass units are grams g kilograms kg and pounds Ib This behavior handles all unit conversions so that biomass is appropriately calculated The final biomass values are reported in metric tons Mg For those equations that calculate log10 log100 or In biomass some papers specify a correction factor to remove bias that may be introduced when biomass is calculated If you wish you may use such a correction factor Set the value of the Dimension Analysis Use Correction Factor parameter to true then s
15. This window is where you create a new harvest event or edit an existing one Along the left portion of the window you enter data about the harvest On the map in the center you select the area of the plot to which to apply your harvest If a tree map has been entered those trees are displayed on the map and the species key is to the right For more on tree maps and episodic events see the Edit Episodic Events Window topic In this document Entering data about the harvest Choosing the area to which to apply the harvest Entering data about the harvest Timestep Enter the timestep in which you wish the harvest to occur You can create more than one harvest per timestep Species applied to Put a checkbox next to each species to which this harvest is to apply If a species is not checked no trees of that species will be cut You can cut the same species more than once in a timestep but if the cut areas of the two harvests overlap there is no attempt to consolidate them and you may not get the results you expect Cut type Select the type of cut you are performing The cut type makes no difference to the way that trees are selected for harvest Its main effect is to change the substrate composition of the plot If you want to select multiple size classes for cutting select Partial cut Cut amount type This only applies if you have selected Partial cut under Cut type Enter how you intend to specify the amount to cut in ea
16. Used to calculate NCI crown radius NCI Crown Radius Gamma NCI function exponent Used to calculate NCI crown radius NCI Crown Radius Lambda for Species X Neighbors The competitive effect of neighbors of species X Used to calculate NCI crown radius NCI Crown Radius Max Potential Radius m The maximum possible value for crown radius in m Used to calculate NCI crown radius NCI Crown Radius Max Search Distance for Neighbors m The maximum distance in m at which a neighboring tree has competitive effects on a target tree Used to calculate NCI crown radius NCI Crown Radius Minimum Neighbor DBH cm The minimum DBH for trees of that species to compete as neighbors Values are needed for all species Used to calculate NCI crown radius NCI Crown Radius Size Effect d Size effect function exponent Used to calculate NCI crown radius Non Spatial Density Dep Inst Crown Height a The a term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height b The b term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height c The c term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential d
17. a parameter in the Weibull function for calculating annual mortality for a browsed tree Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull Browsed b The b parameter in the Weibull function for calculating annual mortality for a browsed tree Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull Browsed c The c parameter in the Weibull function for calculating annual mortality for a browsed tree Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull Browsed d The d parameter in the Weibull function for calculating annual mortality for a browsed tree Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull Browsed Max Mortality 0 1 The maximum mortality probability for a browsed tree expressed as a proportion between 0 and 1 Used by the Height GLI Weibull Mortality with Browse behavior Include Snags in NCI Calculations Whether or not to include snags when finding competitive neighbors for NCI Used in the NCI mortality behavior Juvenile Background Mortality Rate The proportion of trees that die each year as a value between 0 and 1 Used by the Juvenile Stochastic Mortality and Browsed Stochastic Mortality behaviors Juvenile Self Thinning Intercept Intercept of the juvenile self thinning linear function Used by the Juvenile self thinning behavior Juvenile Self Thinning Slope Slope of the juvenile self thinnin
18. a value in the probability of survival logit function for trees with medium damage Used by the Storm damage killer behavior Storm Medium Damage Survival Prob DBH Coeff b The b value in the probability of survival logit function for trees with medium damage Used by the Storm damage killer behavior Storm Prop Heavy Damage Dead Trees that Tip Up The proportion of those heavily damaged trees that are killed in the storm that tip up as a value between 0 and 1 For how a tipped up tree is treated see the behavior description Used by the Storm damage killer behavior Storm Storm Cyclicity Sine Curve d Parameter that controls the cyclicity of storm frequency For no cyclicity set this value to 0 This value is part of the sine curve term and controls the sine amplitude Used by the Storm disturbance behavior Storm Storm Cyclicity Sine Curve f Parameter that controls the cyclicity of storm frequency This value is part of the sine curve term and controls the sine frequency Used by the Storm disturbance behavior Storm Storm Cyclicity Sine Curve g Parameter that controls the cyclicity of storm frequency This value is part of the sine curve term and controls where on the sine curve storms start occurring Used by the Storm disturbance behavior Storm Storm Cyclicity Trend Function Intercept i Parameter that controls the trend of cyclicity of storm frequency This value is part of the trend term and is the intercept of the functi
19. area and density use a summary file only If you want that plus a DBH distribution save only DBH for saplings and adults If you want to keep tabs on a type of data but you don t need a lot of detail consider saving this data less often than every timestep Use a summary file to get plotwide information instead of a detailed output file where possible When you are interested in spatial variation such as when you are working with harvest treatments you might wish to get statistics on just one area within the plot You can create subplots in either summary output or detailed output files This is also helpful if you have an extremely large plot but you want a lot of detail In that case the detailed output file can become too large to work with A representative subplot may give you the information you need To study an interesting effect that you wish to be able to reproduce you may want to save a detailed output file that you can use as initial conditions in a subsequent run In this case you would use the Save everything button in the Setup detailed output file window This file is likely to be extremely large but can be very useful As an example you find that around timestep 15 the curve of sapling density curves up sharply in a very unexpected way You want to be able to experiment with the growth parameters at timestep 15 to see if you can find what conditions that curve is sensitive to You could Save everything for a run of 20 or s
20. beta parameter for the species of neighbor j e yis the Competition Harvest Size Sensitivity gamma parameter for the species of neighbor j e DBH is the DBH in cm of neighbor j e Ais the Competition Harvest Species i Target Lambda parameter for the species of neighbor j where Species i is the target s species e DBHiis the DBH in cm of target i e dist is the distance between target and neighbor in meters Competition Harvest removes the tree with the highest COE value in the plot then updates the COE of each tree in the vicinity so that the removed tree is no longer a neighbor This process is repeated until the harvest cut target has been reached If removing a tree will cause the harvest to overshoot its cutting target a random number is compared to the amount of overshoot to determine if the tree will be removed then harvest ends If species are to be cut in a certain proportion then separate cut targets are maintained for each species If the highest COE individual is of a species whose cut target has been reached it is not cut and Harvest Competition searches for the highest COE individuals of other species Only trees to which you have applied the Competition Harvest behavior are considered for harvesting You can only apply the behavior to saplings and adults You can specify a size range to cut using the Competition Harvest Minimum DBH to Harvest and Competition Harvest Maximum DBH to Harvest parameters The Competitio
21. file the part that you are editing will be validated as part of the edit process It is certainly possible however to be working with a parameter file that has a problem of some sort especially if you started with an existing parameter file instead of from scratch The file will be validated before you run it but if you want to do a double check beforehand you can either save it from the File menu or view all its parameters in the Parameters window and then click OK These methods may not catch every problem but they will catch most of them Making a human readable copy of the parameter file The parameter file is in the XML data format and is not easily readable by humans The model can make you tab delimited text versions of your data that you can open in any text editor or spreadsheet program Unfortunately there is currently no support for outputting all data at once If your parameter file contains both parameters and maps you must convert them separately To save your parameter values use the Edit gt Parameters window To save grid map values use the Edit gt Grid layer setup window Files you save in this way are for your reference only They cannot be used as input Last updated 07 Jun 2005 02 39 PM Detailed output files In this document What is a detailed output file Contents of a detailed output file Subplots of a detailed output file Viewing the data in a detailed output file Detailed output files as input
22. parameter used to calculate deterministic growth when a tree is below the stochastic height threshold Used in the Puerto Rico semi stochastic diam only behavior PR b Parameter for Deterministic Growth b parameter used to calculate deterministic growth when a tree is below the stochastic height threshold Used in the Puerto Rico semi stochastic diam only behavior PR DBH Standard Deviation for Stochastic Growth Standard deviation for DBH values when a tree uses stochastic growth This is the standard deviation of the DBH value NOT the amount of growth Used in the Puerto Rico semi stochastic diam only behavior PR Height Threshold for Stochastic Growth m The tree height threshold in meters between deterministic and stochastic growth Used in the Puerto Rico semi stochastic diam only behavior PR Mean DBH cm for Stochastic Growth The mean for DBH values in cm when a tree uses stochastic growth This is the mean of the DBH value NOT the amount of growth Used in the Puerto Rico semi stochastic diam only behavior PR Storm Bi Level Threshold for High Light Growth 0 100 The threshold between low light and high light equations as a value between 0 and 100 Used in the Puerto Rico storm bi level growth diam with auto height behavior PR Storm Bi Level High Light a The a value in the high light growth function Used in the Puerto Rico storm bi level growth diam with auto height behavior PR Storm Bi Le
23. see equation below This is only required if the gap probability distribution function is Weibull Used by the Gap spatial disperse behavior e Weibull Gap Theta The 0 value for the Weibull function under gap conditions see equation below This is only required if the gap probability distribution function is Weibull Used by the Gap spatial disperse behavior Non spatial disperse The non spatial in non spatial disperse refers to the fact that this behavior ignores the location of parent trees and scatters seeds uniformly across the plot Non spatial disperse has two components basal area dependent seed rain and non density dependent bath seed rain the two of which are independent and can be used together or separately For basal area dependent seed rain the number of seeds added is in direct proportion to the amount of basal area of parent trees of a given species Bath seed rain adds a constant number of seeds each timestep even if there are no parent trees of that species in the plot How it works Non spatial disperse calculates how many seeds to distribute as A u BA K where e Ais the mean number of seeds per m e is the Slope Mean Non Spatial Seed Rain seeds m2 ha of BA yr parameter e PA is the basal area of the parent species in m e xis the Intercept of Mean Non Spatial Seed Rain seeds m2 yr parameter From this the number of seeds per grid cell of the Dispersed Seeds grid is calculated and then that number is ad
24. the box labeled Assigned behaviors In this window Adding new behaviors Removing behaviors Apply to species type Apply to all type Adding new behaviors The left hand side of the window is devoted to choosing new behaviors to apply to this tree type species combination Begin by choosing an overall behavior grouping using the drop down list that shows Please select a behavior group when the window is first opened When you have chosen a group a list of individual behaviors for that grouping shows in the box underneath Select the one you wish to add then click the button marked gt gt to add it to the list It automatically inserts itself in the correct place in the behavior list based on the order of the master behavior list Use the Current run behaviors window to edit the order of the behaviors in a run At this time you must add new behaviors one at a time It is possible to select multiple individual behaviors but the gt gt button will apply to only the first one selected If you have chosen a behavior that is already on the list nothing happens Not all behaviors can be assigned to all species type combinations If you have made an invalid choice you will see an error message when you click an Apply to button and you will be given the opportunity to change it See the documentation for individual behaviors for information on how they can be applied Certain special behaviors cannot be added
25. the summary output file is a better choice than the detailed output file It loads much faster and contains raw data in a format you can use outside of SORTIE without any kind of conversion If you want to look at changes in tree basal area and density through time save a summary output file and use it to look at these charts When you are first setting up new runs you are likely to be testing your parameters to make sure they are all right You will probably be doing several short runs until you are confident that you have chosen the correct behaviors and entered your parameters correctly At this point you will might to save a lot of data and run for small numbers of timesteps so you can examine all aspects of a run to make sure it is progressing the way you want Create a detailed output file and have it save at least X Y and diameter information for all trees save grids for things such as substrate conditions and dispersed seeds so you can look at maps and save a summary output file so you can quickly examine line graphs and tables of basal area and density through time Do short runs and examine output until you are confident that your parameter file is set up correctly When you are doing a set of research runs OR you are doing long runs save the bare minimum of data that you require in order to make your output files as small as possible and to make working with them quicker and easier If all you care about is plotwide amounts of basal
26. trees is enabled If you want to remove all currently loaded tree map trees click this button This action cannot be undone Write tree map to text file If there is a tree map loaded then the button marked Write tree map to text file is enabled Click this button to write the contents of the currently loaded tree map to a tab delimited text file which you can open in a spreadsheet or text editor Files created this way are only for your own use SORTIE ND cannot accept them as run input However you can transform them yourself into a tab delimited map file that SORTIE ND can accept see the Tab delimited tree map topic 29 Feb 2008 02 30 PM Grid Setup Window This window is reached using the main SORTIE window menu option Edit gt Grid layer setup It allows you to work with grids for your run It has the following options Choosing a grid to work with Cell length in X E W direction in m Cell length in Y N S direction in m Apply cell size changes View edit save grid values Clear grid map Choosing a grid to work with The first step is to choose the grid you would like to work with The active grids appear in the drop down list that shows the option Please select grid when the window is first displayed The grids that appear in that list depends on the list of behaviors for this run editable using the Edit simulation flow window If none of the behaviors with which a grid is associated are enabled
27. 640 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 1280 Year Return Interval Storm The severity of storms with a 1280 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 2560 Year Return Interval Storm The severity of storms with a 2560 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Storm Cyclicity Sine Curve d Parameter that controls the cyclicity of storm frequency For no cyclicity set this value to 0 This value is part of the sine curve term and controls the sine amplitude Used by the Windstorm behavior Windstorm Storm Cyclicity Sine Curve f Parameter that controls the cyclicity of storm frequency This value is part of the sine curve term and controls the sine frequency Used by the Windstorm behavior Windstorm Storm Cyclicity Sine Curve g Parameter that controls the cyclicity of storm frequency This value is part of the sine curve term and controls where on the sine curve storms start occurring Used by the Windstorm behavior Windstorm Storm Cyclicity Trend Function Intercept i Parameter that controls the trend of cyclicity of storm frequency This value is part of the trend term and is the intercept of the function controlling the increase or decrease of ove
28. Competition Harvest behavior Competition Harvest Species i Target Lambda The competitive effect of targets of Species i on neighbors of every other species Used by the Competition Harvest behavior Competition Harvest Size Sensitivity gamma The effect of a neighbor tree s size on its sensitivity to competition Used by the Competition Harvest behavior Competition Harvest Target DBH Divisor The value by which target DBHs are divided when calculating competitive effects This can be used to make units adjustments Used by the Competition Harvest behavior Minimum DBH for Storm Damage in cm The minimum DBH for trees that can be damaged or killed by storms Trees smaller than this are never damaged no matter what storms occur Used by the Storm damage applier and Storm damage killer behaviors Number of Years Damaged Trees Take to Heal The number of years it takes a damaged tree to heal After this time it is considered undamaged Used by the Storm damage applier behavior Number of Years Storm Damaged Snags Last The number of years snags damaged in storms last before disappearing If snags are not used in a run this is not required Used by the Storm damage killer behavior Plot Storm Susceptibility Pattern How storm damage susceptibility varies across the plot If Uniform then all locations in the plot have an equal susceptibility If Mapped then a map is used to show the way locations in the plot vary in susceptibility Used by the Sto
29. Data member name Description Resource Resource amount in whatever units are appropriate Ripley s K This grid holds values for the Ripley s K statistic as calculated by the Ripley s K Calculator behavior The grid holds a K value for each distance increment for each species This can be a great many values The grid cell resolution is always set to one cell covering the entire plot You cannot change this Data in the grid Data member Description name Maximum distance to which to calculate K in meters Including this in the PA DIS TANGE output is not necessary but will improve the SORTIE graphing capability How often to calculate K in meters Including this in the output is not DHSIIDEUNG necessary but will improve the SORTIE graphing capability All Species Dist The K value for all plot trees at the Yth distance increment This is not Y K Value necessarily the distance in meters Species X Dist Y The K value for Species X at the Yth distance increment This is not K Value necessarily the distance in meters Seed Predators grid This grid is created by the Functional response seed predation behavior It holds the number of seed predators in each seed grid at the end of the predation model run This grid s resolution must match that of Dispersed Seeds Data in the grid Data member name Description Number Predators The number of predators in each grid cell Snag Decay Class Dynamics Basal Area grid This g
30. Detailed Substrate behavior e Clear Cut Small Logs Mean Diameter cm After a clear cut harvest the mean diameter of logs in the small size class in cm This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior e Clear Cut Proportion of Decayed Logs The proportion of substrate that is decayed logs in areas that had a clear cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate behavior e Clear Cut Proportion of Fresh Logs The proportion of substrate that is fresh logs in areas that had a clear cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate behavior e Clear Cut Proportion of Scarified Soil The proportion of substrate that is scarified soil in areas that had a clear cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate and Detailed Substrate behaviors e Clear Cut Proportion of Tip Up Mounds The proportion of substrate that is tip up mounds substrate in areas that had a clear cut harvest event as a value between O and 1 This is not required if the Harvest behavior is not used Used by the Substrate and Detailed Substrate behaviors LA e Decayed Log Annual Decay Alpha The a exponent in the decay equation as applied to decayed logs Note that this is annual dec
31. Diam Height 10 34 62 1 Maple Seedling 0 24 0 9 33838 88 9771 Beech Sapling 4 567 O 5 73746 5 16968 Hemlock Adult 15 887 15 3 127 039 146 606 Beech Snag 35 4 28 7 122 571 14 06372 Oak Sapling 2 91 0 9 31396 50 0366 Maple Adult 23 554 14 82 The first row in the file is assumed to be column headers and is ignored by SORTIE ND Each subsequent row is the data for one tree Trees can appear in any order There is no limit to the number of trees The first two columns are the X and Y coordinates of the tree In the SORTIE ND coordinate system the origin is at the southwest corner of the plot X increases to the east Y to the north There are no negative numbers If there are trees outside the plot boundaries you are warned of this if you elect to continue loading the file those trees are discarded The third column is species The species names must match those that appear in the parameter file SORTIE ND will reject a tree map with an unrecognized species name To find out what the species names are for your parameter file use the Edit species list window to view the list Case is important The fourth column is tree life history stage Possible values are Seedling Sapling Adult and Snag Case is unimportant The fifth column is tree diameter in cm If the life history stage is Seedling this value is the diameter at 10 cm height For all other types this is DBH If the diameter value a
32. Gap Light behavior This behavior shortcuts the light calculation process by considering GLI to be binary either full light 100 or no light 0 This simulates a simplified version of gap light dynamics How it works This behavior uses a grid object called Gap Light to determine the basic position of plot gaps If a grid cell contains no adult trees it is considered a gap If there are any adults of any species then it is non gap The trees to which this behavior has been applied get their GLI values based on the gap status of the grid cell in which they are located If the gap status is TRUE then they receive a GLI value of 100 If it is FALSE they receive a value of 0 How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string Gap Light Storm Light behavior This behavior calculates light levels as a function of number of trees damaged in storms Light levels are stored in a grid for later retrieval by other behaviors this behavior does not directly assign light to trees How it works This behavior uses a grid called Storm Light to manage light levels Each timestep it calculates the light level at the center of each grid cell and places it in the grid The light level is calculated as follows GLA 1 T M 100 a b N where e GLA is the light level as a value between 0 and 100 e Tis the number of adult trees and snags within the search
33. Harvest Harvest Type The type of harvest to perform Fixed BA means that there is a harvest every time the plot reaches a fixed basal area threshold and the amount cut is a proportion of the total basal area Fixed BA Amt means that there is a harvest every time the plot reaches a fixed basal area threshold and the amount to cut is a fixed amount of basal area Fixed Interval means that there is a harvest every X years with the plot being harvested until it is cut back to a certain amount of basal area Used by the Competition Harvest behavior Competition Harvest Minimum DBH to Harvest The minimum DBH in cm of trees that can be harvested Used by the Competition Harvest behavior Competition Harvest Min Years Between Fixed BA Harvests For fixed basal area threshold harvests the value in Competition Harvest Harvest Type is set to either Fixed BA or Fixed BA Amt this is the minimum number of years that must pass between harvests even if the plot basal area is over the harvesting threshold This value is ignored if the harvest type is Fixed Interval Used by the Competition Harvest behavior Competition Harvest Maximum DBH to Harvest The maximum DBH in cm of trees that can be harvested Used by the Competition Harvest behavior Competition Harvest Max Radius of Competitive Effects m The maximum radius in meters at which a target tree of that species competitively affects other trees Used by the
34. License However parties who have received copies or rights from you under this License will not have their licenses terminated so long as such parties remain in full compliance 5 You are not required to accept this License since you have not signed it However nothing else grants you permission to modify or distribute the Program or its derivative works These actions are prohibited by law if you do not accept this License Therefore by modifying or distributing the Program or any work based on the Program you indicate your acceptance of this License to do so and all its terms and conditions for copying distributing or modifying the Program or works based on it 6 Each time you redistribute the Program or any work based on the Program the recipient automatically receives a license from the original licensor to copy distribute or modify the Program subject to these terms and conditions You may not impose any further restrictions on the recipients exercise of the rights granted herein You are not responsible for enforcing compliance by third parties to this License 7 If as a consequence of a court judgment or allegation of patent infringement or for any other reason not limited to patent issues conditions are imposed on you whether by court order agreement or otherwise that contradict the conditions of this License they do not excuse you from the conditions of this License If you cannot distribute so as to satisfy simulta
35. Menton function that allows for negative height growth e The Michaelis Menton with photoinhibition behavior uses a modified Michaelis Menton function that allows additional control over the influence of light levels on growth e Michaelis Menton relative growth can now be used in height growth with the Relative growth height only behavior e The Post harvest skidding mortality behavior provides an increase in tree mortality after harvesting due to skidding damage or other effects e The Masting non spatial disperse behavior behavior adds masting and inter year variation to basic seed rain e The Foliar chemistry behavior calculates various leaf chemical components as a function of DBH e You can now use height growth functions as your principle growth functions with the aid of the Allometric diameter growth behavior e The NCI growth and NCI Mortality behaviors are now more flexible all of the modifying effects are now optional to allow you to use only the ones you need e The Quadrat based GLI light behavior now has a flag to force calculation of GLI in every grid cell to allow this behavior to double as a light map creator even when trees to which the behavior is applied are not present e The values of a tree s crown radius and depth are now available as output variables e The tree map now displays DBH values at actual size at all scales e Anew crown radius output display map shows crown radii at actual size allowing visualization
36. PDFs are always the ones used Used by the Non gap spatial disperse Gap spatial disperse and Masting spatial disperse behaviors Gap Function Used The probability distribution function to be used to distribute seeds in gap conditions Used by the Gap spatial disperse behavior Intercept of Mean Non Spatial Seed Rain seeds m yr The intercept of the non spatial seed rain function This is the bath seed rain term Set this value to zero to turn off bath non spatial seed rain Used by the Non spatial disperse behavior Lognormal Canopy Annual STR The annual STR value Standardized Total Recruits or all seeds produced by a 30 cm DBH tree in one year for the lognormal function under canopy conditions see equation below This is only required if the canopy probability distribution function is lognormal Used by the Gap spatial disperse and Non gap spatial disperse behaviors In the case of the last the canopy probability distribution function is the only one used for a species Lognormal Canopy Beta The p for the lognormal function under canopy conditions see equation below This is only required if the canopy probability distribution function is lognormal Used by the Gap spatial disperse and Non gap spatial disperse behaviors Lognormal Canopy Xo The mean of the lognormal function under canopy conditions or under non masting conditions in the case of Masting spatial disperse see equation below This is only required if the cano
37. Resource Function Mode mu Determines the mode of the function along a gradient of the resource R the mode is the optimal niche of a species Used by the Growth and Resource Based Mortality behavior Growth Resource Survival Increase with Growth delta Specifies the increase in survival caused by amount of growth Used by the Growth and Resource Based Mortality behavior Growth Resource Low Growth Survival Parameter sigma Affects the shape of the survival probability distribution in low growth conditions Used by the Growth and Resource Based Mortality behavior Height GLI Weibull a The a parameter in the Weibull function for calculating annual mortality Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull b The b parameter in the Weibull function for calculating annual mortality Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull c The c parameter in the Weibull function for calculating annual mortality Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull d The d parameter in the Weibull function for calculating annual mortality Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull Max Mortality 0 1 The maximum mortality probability for a species expressed as a proportion between 0 and 1 Used by the Height GLI Weibull Mortality with Browse behavior Height GLI Weibull Browsed a The
38. Size Dep Logistic Height Shape Param 1 c parameter e d Size Dep Logistic Height Shape Param 2 d parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults In order to find the total amount of height increase for a timestep the behavior takes as an input the amount of diameter growth increase Assume that the number of years per timestep is X The amount of diameter increase is divided by X Then the logistic growth equation is calculated X times with the diameter incremented by the amount of diameter increase per timestep each time The total height increment is the sum of the X individual height increments How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter only growth behavior applied Behavior reference string size dependent logistic growth height Logistic growth w size dependent asymptote diam with auto height How it works This behavior calculates annual diameter increases as a b Y dian 1 d GLI where e Y amount of diameter increase in mm e a Size Dep Logistic Diam Intercept a parameter e b Size Dep Logistic Diam Slope b parameter e c Size Dep Logistic Diam Shape Param 1 c parameter e d Size Dep Logist
39. This grid is used for intermediate calculations when calculating the values in the Detailed Substrate grid The grid cell resolution must match Detailed Substrate s Data in the grid Data member name Description Amount of new tip up indmds New tip up mounds area by grid cell in square meters New Log Area Sp Group X Area of new small logs added this timestep for species group X Small Decay Y decay class Y in square meters New Log Area Sp Group X Area of new large logs added this timestep for species group X Large Decay Y decay class Y in square meters Prop Sp Group X Small Fresh small logs added Z timesteps ago for species group X Decay Y Timestep Z decay class Y as a proportion of grid cell area Prop Sp Group X Large Fresh large logs added Z timesteps ago for species group X Decay Y Timestep Z decay class Y as a proportion of grid cell area Dispersed Seeds This grid is created by the Disperse behaviors It holds the number of seeds of each species that have been created by dispersal This grid defaults to a cell resolution of 8 m X 8 m which you can change Data in the grid Data member name Description Number of seeds for Species X The number of seeds in each grid cell belonging to Species X Whether the cell is in gap true or under closed canopy false Only Gap status p used if there are behaviors which use forest cover The count of adult trees for determining gap status Only used if th
40. To determine the amount of sun coming from each portion of the sky the sky is first divided into a hemispheric grid For GLI calculations the grid cells are equal area segments of a user settable resolution For Sail Light calculations the sky is divided into one degree sized grid cells For each day in the growing season the times of sunrise and sunset are calculated and then the sun s position in the sky grid is tracked at 5 minute intervals throughout the day The equations are below At each solar position the amount of direct beam radiation received from the sun at that position is calculated taking into account atmospheric effects Each sky segment keeps track of the total amount of direct beam radiation coming from it for the duration of the growing season The total amount of light in the sky is the amount of direct beam radiation plus the amount of diffuse radiation Once the total amount of direct beam radiation is known the amount of diffuse radiation is calculated accordingly and added equally to all portions of the sky Each sky segment is then relativized to hold the percentage of total light coming from that segment Determining a tree s light index For each timestep SORTIE calculates the amount of light each tree receives by simulating a fisheye photograph To take the photo the model looks at the hemisphere of sky around and above a tree and determines which portions of it are blocked by neighboring trees It then totals u
41. Variance in cm Xb Shading Effect 1s calculated as TRI e o where e mis the NCI Shading Effect Coefficient m parameter e nis the NCI Shading Effect Exponent n parameter e Sis the amount of shade cast by neighbors from 0 no shade to 1 full shade This value should come from the Sail light behavior This effect is not required To omit the Shading Effect set the NCI Shading Effect Coefficient m parameter to 0 Crowding Effect is calculated as T C DBH WCTI D where e Cis the NCI Crowding Effect Slope C parameter e DBH is of the target tree in cm e yisthe NCI Size Sensitivity to NCI gamma parameter for the target tree s species e Dis the NCI Crowding Effect Steepness D parameter e NCliis this tree s NCI value equation below The NCI value sums up the competitive effect of all neighbors with a DBH at least that of the NCI Minimum Neighbor DBH in cm parameter out to a maximum distance set in the NCI Max Radius of Crowding Neighbors in m parameter The competitiveness of a neighbor increases with the neighbor s size and decreases with distance and storm damage to the neighbor optional The neighbor s species also matters the effect depends on the relationship between the target species and the neighbor species Seedlings never compete You set whether or not snags compete in the Include Snags in NCI Calculations parameter The crowding effect is optional You can omit it by setting either the NC
42. a choice for every type of chart Choose the chart you want to display and click the Draw Chart button The chart will appear in the main SORTIE window You can open as many charts as you wish A legend also opens for each file that applies to all its chart windows The legends for detailed output files have an extra set of controls marked Timestep at the bottom Use the arrows to step back and forth through the timesteps As you step through and watch a chart pay attention to axis ranges The data visualizer is meant to analyze each dataset it charts and optimize the chart accordingly It does not attempt to keep the view consistent Viewing a chart s raw data You can save the raw data used to make any chart to a tab delimited text file suitable for viewing in spreadsheet programs Use the File gt Save menu option that appears on all charts or press Ctrl S You can take this raw data to reproduce and adjust the chart in other graphing applications If you have saved a summary output file be aware that this file already contains all its data in a tab delimited text format you can open this file directly if you wish Viewing charts from a run as it progresses You can view the output from a run as it progresses SORTIE will keep a set of open charts updated with the results of the latest timestep Here s how to use this feature 1 Since SORTIE data visualization can only display the contents of output files the first step in usin
43. a higher level and tree type life history stage is shown beneath Expanding a tree or grid branching shows what behaviors in order apply Clicking on any grid name brings up the Grid setup window where you can set options for grids Clicking on a tree type below a species name brings up the tree behavior window which you can use to set up the behaviors applied to the chosen tree type and species combination Clicking on the name of any behavior brings up the Current run behaviors window where you can edit the list of behaviors their order and to what trees they apply View by data type first This button changes the view to a hierarchical structure that shows grids and trees at the top level In the tree structure portions tree type life history stage is shown at a higher level and species is shown beneath Expanding a tree or grid branching shows what behaviors in order apply Clicking on any grid name brings up the Grid setup window where you can set options for grids Clicking on a tree species name below a tree type brings up the tree behavior window which you can use to set up the behaviors applied to the chosen tree type and species combination Clicking on the name of any behavior brings up the Current run behaviors window where you can edit the list of behaviors their order and to what trees they apply Current run behaviors window This window is reached through the Edit simulation flow window It edits the set of
44. age for your chosen species If the minimum reproductive age is less than the Minimum adult DBH be sure to apply this behavior to saplings as well as adults Behavior reference string masting spatial disperse Masting non spatial disperse behavior This behavior adds stochasticity to basic seed rain by simulating masting and basic inter year variation in seed production How it works Deciding when to mast Each timestep each species may mast or not Mast is determined by making a random draw from a binomial distribution with the p value for the distribution set using the Mast NS Disperse Binomial P Mast Chance parameter Masting decisions are made completely independently for each species except in the case of masting groups more on those later The number of seeds in seeds per square meter is then drawn from a second probability distribution The distribution choices are normal and inverse Gaussian A species can use different distributions for mast and non mast timesteps You choose the distributions using the Mast NS Disperse PDF Masting Conditions and Mast NS Disperse PDF Non Masting Conditions parameters You then set up the values for the different distributions using the appropriate parameters You do not need to set values for distributions that a species does not use Once the number of seeds per square meter has been established for a species that quantity of seed is distributed evenly across the plot The
45. all disperse behaviors Slope Mean Non Spatial Seed Rain seeds m7 ha of BA yr The slope of the non spatial seed rain function This is the basal area dependent seed rain term Set this value to zero to turn off basal area dependent non spatial seed rain Used by the Non spatial disperse behavior STR for Stumps The annual STR value Standardized Total Recruits or all seeds produced by a 30 cm DBH tree in one year for stumps Stumps use the same probability distribution function as the live members of their species Only required if a behavior is being applied to stumps Used by the Non gap spatial disperse Gap spatial disperse behaviors Weibull Canopy Annual STR The annual STR value Standardized Total Recruits or all seeds produced by a 30 cm DBH tree in one year for the Weibull function under canopy conditions see equation below This is only required if the canopy probability distribution function is Weibull Used by the Gap spatial disperse and Non gap spatial disperse behaviors In the case of the last the canopy probability distribution function is the only one used for a species Weibull Canopy Beta The p for the Weibull function under canopy conditions see equation below This is only required if the canopy probability distribution function is Weibull Used by the Gap spatial disperse and Non gap spatial disperse behaviors In the case of the last the canopy probability distribution function is the only one used for a species
46. always come back to this window by choosing Edit gt Tree setup Setting up the behavior list After your tree population is defined the wizard will take you to the Edit simulation flow window so you can set up the list of behaviors for your run You can approach this from either the tree perspective by setting up the list of behaviors for each tree type or from the behavior perspective by starting with a list of behaviors and assigning each to specific groups of trees See the link above for detailed instructions on choosing behaviors Again you can always come back to this window to make changes by choosing the menu option Edit gt Model flow At this point the new parameter file wizard ends Setting parameter values You must complete the steps above before you can edit parameters because it is the tree population and the list of behaviors that defines what parameters are needed Once those steps are complete you can enter your parameter values by choosing the menu option Edit gt Parameters which will open the Parameters window You may want to only display and edit one category of parameter at a time since all values in the parameter window must be valid before you can save your changes Other options Once you have completed the three steps above you have created a basic parameter file For more options on adding to a parameter file see the topic Adding to a parameter file Adding to a parameter file This top
47. amount to the tree s diameter The tree s new height is calculated from the new diameter using the appropriate allometry equation This is the way that growth has been applied in all previous versions of SORTIE and is the method you should choose if you are in doubt about which one you want Behaviors using this method have the tag diam with auto height in their name In the second method the behavior calculates an amount of diameter increase and then adds this amount to the tree s diameter The height is not allowed to change The rationale behind this is that tree diameter and height are not always strictly coupled by the allometry equations sometimes diameter and height should be allowed to vary independently If you use a growth behavior of this type it is required that you pair it with a separate behavior incrementing height Behaviors using this method have the tag diam only in their name In the third method the behavior calculates an amount of height increase and then adds this amount to the tree s height The diameter is not allowed to change The rationale is the same as that for the second method If you use a growth behavior of this type it is required that you pair it with a separate behavior incrementing diameter Behaviors using this method have the tag height only in their name Growth behaviors using the second and third method must work together in pairs Behaviors using the first method work alone If you pair a behav
48. an exact multiple each Average Light cell value is an average of the values of all the cells of GLI Map that overlap it in area even if only partially Trees to which this behavior are applied get the value of their location in the Average Light grid How to apply it This behavior may be applied to seedlings saplings and adults of any species The GLI Map Creator behavior must also be used and must come before Average Light in the run order Once both behaviors have been added to your run set up the cell sizes of the two grids the way you want them using the Grid Setup window Behavior reference string Average Light Basal Area Light behavior This behavior calculates light levels as a function of the basal area of trees in a neighborhood The light levels are randomized using a lognormal probability distribution Because of this random element to ensure some continuity through time light levels only change when the local neighborhood tree basal area has changed by a certain amount How it works This behavior uses a grid called Basal Area Light to manage light levels Light levels are calculated for each cell in the grid trees to which this behavior are assigned receive the light level of the cell in which they are located The behavior begins by calculating the total basal area and angiosperm basal area in the neighborhood of each Basal Area Light grid cell The neighborhood is a circle with its center on the center of the gri
49. and Detailed Substrate behaviors o teh Scarified Soil Annual Decay Beta The f exponent in the decay equation as applied to scarified soil Note that this is annual decay Used by the Substrate and Detailed Substrate behaviors Species Group Which species group 1 3 each species is assigned to Used by the Detailed Substrate behavior Species Group X Large Class Y Clear Cut Log 0 1 After a clear cut harvest the proportion of substrate area that is large logs of species group X decay class Y All clear cut values added together must be less than or equal to 1 This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Species Group X Small Class Y Clear Cut Log 0 1 After a clear cut harvest the proportion of substrate area that is small logs of species group X decay class Y AII clear cut values added together must be less than or equal to 1 This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Species Group X Large Class Y Gap Cut Log 0 1 After a gap cut harvest the proportion of substrate area that is large logs of species group X decay class Y All gap cut values added together must be less than or equal to 1 This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Species Group X Small Class Y Gap Cut Log 0 1 After a gap cut harvest the proportion of substrate area that is small logs
50. and adults of any species Any tree species type combination to which it is applied must also have a diameter growth behavior applied Behavior reference string power growth height only Lagged post harvest growth This behavior increments growth as a function of DBH and neighboring basal area and incorporates a lag period after harvesting during which trees acclimate to their post harvest growing conditions How it works A tree s potential growth is calculated by PARG a exp 6 DBH exp n BA exp o DBH where e PARG is potential annual radial growth mm y e DBH isin cm e BA is the basal area in sq m of adult trees within the distance given in the Post Harvest Growth NCI Distance m parameter e ais the Post Harvest Growth Max Growth Constant parameter the maximum radial growth in millimeters per year e ois the Post Harvest Growth DBH Growth Effect parameter e 71s the Post Harvest Growth NCI Constant parameter e is the Post Harvest Growth DBH NCI Effect parameter If no harvest has occurred yet in this run then the tree s actual growth ARG equals PARG If a harvest has occurred at some point during this run then ARG is calculated by ARG ARG ye PARG ARGpre 1 exp t H t where e ARG is annual radial growth mm y for the current timestep e ARG is annual radial growth for the last timestep prior to harvest e His the number of timesteps since the last harvest e tis t
51. are used in this run those trees that die in either damage category except for tip ups become snags A time since damage counter is set for each of these snags After the amount of time specified in the Number of Years Storm Damaged Snags Last has passed this behavior will remove those snags killing them They are not available for later processes such as substrate This behavior will not do anything to any snag that it did not kill If snags are not used in this run trees that die have a flag set indicating that they are dead They are available during the timestep in which they die to substrate and other processes in exactly the same manner as trees that die due to natural mortality They will be subject to the same cleanup and removal processes as well If a heavily damaged dead tree tips up and snags are used in the run the tip up becomes a snag that has its dead flag set to true It is available during the timestep in which it dies to substrate and other processes in exactly the same manner as other snags that die due to natural mortality It is subject to the same cleanup and removal processes as well If snags are not used in the run then tip ups are treated like all other storm killed trees Saplings that are killed in storms never become snags They are killed in the manner described above for trees that die in a non snag run Existing snags are never at risk for storm damage or mortality but the behavior must be applied to the
52. as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Ground Forest Floor Litter The proportion of those seeds that land on forest floor litter ground substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Ground Forest Floor Moss The proportion of those seeds that land on forest floor moss ground substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Ground Fresh Logs The proportion of those seeds that land on fresh logs ground substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Ground Scarified Soil The proportion of those seeds that land on scarified soil ground substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Ground Tip Up The proportion of those seeds that land on tip up ground substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Ger
53. at the growth rate which defines suppressed status expressed as a fraction between 0 and 1 For instance if this value is 0 1 the growth rate for suppressed status is one at which 10 of trees die with that growth Used in absolute growth behaviors NCI Alpha NCI function exponent Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Beta NCI function exponent Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Crowding Effect Slope C The slope of the curve for the crowding effect equation Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Crowding Effect Steepness D The steepness of the curve for the crowding effect equation Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Damage Effect Complete Storm Damage 0 1 The fraction by which a tree s growth rate is reduced when it has sustained complete storm damage Set this to 1 if you are not including storms in your run Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Damage Effect Medium Storm Damage 0 1 The fraction by which a tree s growth rate is reduced when it has sustained medium storm damage Set this to 1 if you are not including storms in your run Used in the NCI growth behavior diam with au
54. atd X IR g N 12 where e ais the Func Resp Max Decline Rate Season 1 or 2 predators week parameter e dis the Func Resp Demographic Efficiency Season 1 or 2 parameter e gis the Func Resp Density Dependent Coeff Season 1 or 2 parameter e Nis number of predators per hectare How to apply it This behavior may be applied to seeds of any species Any species to which it is applied must also have a Disperse behavior applied as well Behavior reference string functional response seed predation Functional response seed predation linked How it works This behavior is used together with the Neighborhood seed predation behavior linked behavior The two behaviors work together to model seed predation This behavior performs the functional response model in almost exactly the same way as the Functional response seed predation behavior However instead of removing the eaten seeds it calculates a whole plot offtake rate for the group of species to which it has been applied This rate is always for the plot as a whole not for individual cells of the seed grid This offtake rate is then available for use by the Neighborhood seed predation behavior linked behavior and no further action is taken This behavior can be used in the same run with the non linked version of this behavior The two sets of species are kept completely separate and there are two separate sets of parameters How to apply it This behavior may
55. be applied to seeds of any species Any species to which it is applied must also have a Disperse behavior applied as well Presumably the Neighborhood seed predation behavior linked behavior will be applied to the same set of species and should be placed after this behavior in the ordered list of model behaviors Behavior reference string linked functional response seed predation Neighborhood seed predation This simulates seed predation as a function of tree neighborhood and masting events The same equations are used to calculate the amount of seed eaten but there are different parameters for masting and non masting timesteps Masting events can be determined in one of two ways by seed levels rising above a threshold that you set or by masting having occurred as defined by one of the masting disperse behaviors How it works Masting timesteps are those with a heavy density of edible seeds The first step in a given time step is deciding whether or not masting is occurring There are two methods available for making the masting decision You set your chosen method using the Neighborhood Predation Mast Event Decision Method parameter If the event decision method is set to Seed threshold masting events occur whenever seed density rises above a certain threshold You set the threshold for this density in the Neighborhood Predation Masting Seed Density m2 yr parameter You then set which species are included in the mast count w
56. behavior e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults Assume that the number of years per timestep is X In order to find the total amount of diameter increase for a timestep the logistic growth equation is calculated X times with the diameter incremented by the amount of diameter increase for the previous year The total diameter increment is the sum of the X individual diameter increments How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height only growth behavior applied Behavior reference string size dependent logistic growth diam only Lognormal with exponential shade reduction height only How it works This behavior calculates annual height increases as uf Indiam 36 Y lt 5 lI 6 wrr a m M ris f la e j y 100 where e Y amount of height increase in cm e a Lognormal Height Growth Increment at Diam 36 in cm yr a parameter e b Lognormal Height Shape Parameter b parameter e c Lognormal Height Effect of Shade c parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults In order to find the total amount of height increase for a timestep the behavior takes as an input the am
57. behaviors for a run the order they are in and the trees to which they apply if it is appropriate for them to apply to trees The current list of behaviors in order appears in the box labeled Current behavior order In this window Adding new behaviors Changing behavior order the Up and Down buttons Removing behaviors the Remove button Changing behavior assignments the Modify assigned data button Adding new behaviors The left hand side of the window is devoted to choosing new behaviors for this run Begin by choosing an overall behavior grouping using the drop down list that shows Please select a behavior group when the window is first opened When you have chosen a group a list of individual behaviors for that grouping shows in the box underneath Select the one you wish to add then click the button marked gt gt to add it to the list It automatically places itself with other behaviors in its group or in the correct place between other groups if it is the first of its group Behavior groups are separated by dashed lines At this time you must add new behaviors one at a time It is possible to select multiple individual behaviors but the gt gt button will apply to only the first one selected If you have chosen a behavior that is already on the list nothing happens Certain special behaviors cannot be added this way If you try to add them you will see a message saying Use this behavior
58. can use the menu commands on the parameter window Edit gt Copy and Edit gt Paste or the keyboard shortcuts Ctrl C for copy and Ctrl V for paste If there is a cursor blinking in a cell when you click OK the value for that cell might not save Whenever you re done entering data it s a good idea to click outside the last cell so that this won t happen Saving grid map as text The window can be saved as tab delimited text for your own review in a spreadsheet or text editor program Choose File gt Save window as file Each value for each data member in the map is saved separately and there will be a heading for it even if there were no values in the map For an explanation of the values that were saved consult the documentation for individual grids Saving the window view to a file is not the same as saving the values in SORTIE You still need to click OK to save any changes you ve made The tab delimited text file is just for your review It cannot be used as input to SORTIE directly although you could copy and paste values from it 16 Sep 2004 10 04 AM Model flow window This window is reached using the main SORTIE window menu option Edit gt Model flow It allows you to choose the behaviors for a run put them in a particular order and assign them to trees The current behaviors and their tree assignments is displayed in a hierarchical structure You can view the data in three structures ordered by different hierarchies
59. cell if there are no trees in that cell In this case the light value of the cell is 1 To force it to always calculate all GLIs useful if you intend to save maps of the Quadrat GLI grid set the Quadrat GLI Always Calculate All GLIs parameter to true How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string quadratlight Sail light For more on what the Sail Light index is and how it is calculated see above How it works This behavior calculates a Sail Light index value for each individual of each tree type to which it is assigned Sail Light values go from 0 full sun to 1 full shade How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string saillight GLI Map Creator For more on what GLI is and how it is calculated see above How it works This behavior calculates a GLI value for each cell in a grid object called GLI Map The height at which this GLI value is calculated is set by the Height at Which GLI is Calculated for GLI Map in meters parameter These values are not used by any other behavior You can save the values in the GLI Map grid into a detailed output file and view the map data later How to apply it Add the behavior to the run Be sure to save the GLI Map grid in the detailed output file in order to be able to view the results Behavior reference string GLI Map Creator
60. clump size is used Used by the Aggregated Mortality behavior e Aggregated Mortality Number of Trees To Aggregate Determines the size of the clumps of trees killed If the clump size is deterministic all clumps will be this size If the size 1s to be drawn from a negative binomial probability distribution then this is the mean clump size Used by the Aggregated Mortality behavior e Aggregated Mortality Return Interval years The return interval for mortality episodes Used by the Aggregated Mortality behavior e Browsed Juvenile Background Mortality Rate The proportion of browsed trees that die each year as a value between 0 and 1 Used by the Browsed Stochastic Mortality behavior e Competition Mortality Shape Parameter Z Determines the shape of the mortality function Used by the Competition Mortality behavior e DBH at Onset of Senescence in cm DBH at which senescence takes effect Used by the Senescence behavior DBH of Maximum Senescence Mortality Rate as an integer in cm The DBH at which maximum mortality occurs Trees with a DBH greater than this value experience no further increase in the mortality rate Used by the Senescence behavior Density Self Thinning Asymptote A The asymptote of the density self thinning function Used by the Density Self Thinning Mortality behavior Density Self Thinning Density Effect S The parameter controlling the density effect of the density self thinning function Used by the Density Self
61. diameter incremented by the amount of diameter increase for the previous year The total diameter increment is the sum of the X individual diameter increments After applying the amount of diameter increase tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string lognormal growth Lognormal with exponential shade reduction diam only How it works This behavior calculates annual height increases as i 100 Jf Infdiam 361Y p 5 ee HFA Uv xe hb E trig F la e where e Y amount of height increase in cm e a Lognormal Diam Growth Increment at Diam 36 in mm yr a parameter e b Lognormal Diam Shape Parameter b parameter e c Lognormal Diam Effect of Shade c parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults Assume that the number of years per timestep is X In order to find the total amount of diameter increase for a timestep the lognormal growth equation is calculated X times with the diameter incremented by the amount of diameter increase for the previous year The total diameter increment is the sum of the X individual diam
62. disperse behavior Masting Disperse Masting Weibull Dispersal The dispersal value for the weibull function under masting conditions This is only required for a species if the canopy probability distribution function for that species is weibull Used by the Masting spatial disperse behavior Masting Disperse Masting Weibull Theta The 0 for the weibull function under masting conditions This is only required for a species if the canopy probability distribution function for that species is weibull Used by the Masting spatial disperse behavior Masting Disperse Stochastic STR Draw Frequency If the STR value is stochastic this determines whether a new value is generated once per species per timestep or once per tree per timestep If the Masting Disperse STR Draw PDF is Deterministic then this value is not used Used by the Masting spatial disperse behavior Masting Disperse STR Draw PDF Whether the STR value should be deterministic or generated each timestep using a normal or lognormal distribution Used by the Masting spatial disperse behavior Maximum Parent Trees Allowed in Gap Cell Maximum number of trees above the minimum DBH for reproduction that are allowed in a grid cell for that cell to still have gap status as opposed to closed canopy Used by the Gap spatial disperse behavior Minimum DBH for Reproduction in cm The minimum DBH at which a tree can reproduce This value does not have to match the Minimum adult DBH Used by all dispe
63. does nothing else to them Other behaviors such as growth and mortality may use this information How to apply it Apply this behavior to any species and type of tree Behavior reference string random browse Storm damage applier The purpose of this behavior is to apply storm damage to individual trees This behavior decides which trees are damaged when a storm has occurred and how badly It also keeps track of the time since damage for damaged trees and after a healing period returns them to healthy undamaged status There are three possible damage categories for a tree no damage medium damage and heavy damage Other behaviors can use the damage categories to determine what effects the storm damage had on a tree slow growth death etc How it works The behavior Storm disturbance determines whether a storm has occurred When it does an individual tree can either get no damage medium damage or heavy damage The tree s probability of damage in a given damage category is where e iis the damage category either medium or heavy e a is the storm damage intercept for that tree s species for that damage category either the Storm Damage Intercept a for Medium Damage parameter or the Storm Damage Intercept a for Heavy Damage parameter e bis the Storm Intensity Coefficient b parameter for that tree s species e cis the storm s severity at the tree s location between 0 and 1 as calculated by the Storm disturbance
64. dynamics by allowing some dead trees to fall and create tip up mounds When a live tree dies there is a certain probability that the tree will fall at death to create new fresh log substrate Snags marked as dead always contribute new fresh log substrate For both dead snags and live trees there is a certain probability that the tree will expose an area of tip up mounds substrate Any new substrate created this way is added in to the existing substrate but does not completely replace it like harvest does Substrate relationships Substrate Creation and Decay Schematic Fresh logs Tip up mounds Scarified soil Decayed Relationships 1 2 4 and 6 represent the decay of the different substrates as a function of substrate age according to the equation Po Forester where t is time in years Graphed this equation looks like this Hypothetical Substrate Loss Function A hae oer og r na P n 07 X Li 05 m 05 X P 9 Remaining do p s R 04 ke Losthyr 0 3 02 Bos x Mm 04 x 2a e 9 9 gt 0 5 10 15 20 Time Steps In this diagram there are two kinds of substrate A and B A decays into B according to the equation above The amount of A and B together sum to 1 for this diagram The curve for Remaining is the amount of A The curve for Lost yr is the amount of B When gt 1 the rate of loss time step increases over time giving an initial lag period whe
65. each species Used by the Competition Harvest behavior e Competition Harvest DBH Effect of Targets alpha Exponent controlling the effect of a target s DBH on neighbors Used by the Competition Harvest behavior e Competition Harvest Distance Effect of Targets beta Exponent controlling the effect of distance between target and neighbors Used by the Competition Harvest behavior e Competition Harvest Filename for List of Harvested Trees Optional If there is a value in this field the Competition Harvest behavior will write a tab delimited text file of this name with all the trees cut during the run In batch runs this will get overwritten and only contain the last run s list Used by the Competition Harvest behavior e Competition Harvest Fixed BA Harvest Threshold m2 ha For fixed basal area threshold harvests the value in Competition Harvest Harvest Type is set to either Fixed BA or Fixed BA Amt this is the amount of basal area that the plot must have before a harvest occurs This value is ignored if the harvest type is Fixed Interval Used by the Competition Harvest behavior e Competition Harvest Fixed Interval Harvest Interval yr For fixed basal area threshold harvests the value in Competition Harvest Harvest Type is set to Fixed Interval this is the number of years between harvests This value is ignored if the harvest type is Fixed BA or Fixed BA Amt Used by the Competition Harvest behavior e Competition
66. file can be read in once a parameter file has been loaded The parameter file must have the same species and in the same order as the file originally used to create the harvest regime file In addition the loaded parameter file must have a number of timesteps at least as large as the timestep of the last harvest or planting event The old versions of SORTIE relied upon a hard wired grid cell area for the harvest and planting specifications while the new version may have a different resolution SORTIE will make the conversion but the areas of harvest and or planting may be slightly different afterwards To read a harvest regime file use File 2Open file e Output files out Old output files can be viewed in the data visualization functions of the model Parameter files par SORTIE ND versions up to 6 04 support these parameter files Later versions including this one do NOT support par files You can download and install a version of SORTIE ND up to 6 04 and read this topic in its user manual for instructions on how to import your file You can then save it into a SORTIE ND parameter file which can be opened by later SORTIE ND versions Tree map files stmf The format for tree map files from older versions of SORTIE is no longer supported However SORTIE ND does support a different tab delimited tree map file format It is easy to manually convert any old stmf files to the new format using a spreadsheet program such as Microsof
67. fis the Windstorm Storm Cyclicity Sine Curve f parameter which controls the sine curve s frequency e gis the Windstorm Storm Cyclicity Sine Curve g parameter which controls where on the sine curve storms start occurring e mis the Windstorm Storm Cyclicity Trend Function Slope m parameter e iis the Windstorm Storm Cyclicity Trend Function Intercept i parameter To turn off all cyclicity and use constant storm probabilities set Windstorm Storm Cyclicity Sine Curve d to 0 Windstorm Storm Cyclicity Trend Function Slope m to 0 and Windstorm Storm Cyclicity Trend Function Intercept i to 1 The other values are unimportant To use only the sine portion with no trend line set both Windstorm Storm Cyclicity Trend Function Slope m and Windstorm Storm Cyclicity Trend Function Intercept i to 0 To use only the trend portion set Windstorm Storm Cyclicity Sine Curve d to 0 For each storm that occurs Windstorm decides what trees will die as a result A tree s probability of mortality is calculated as follows y where e pis the tree s probability of mortality e ais the Windstorm Mortality Intercept a parameter e cis the Windstorm Storm Intensity Coefficient c parameter e bis the Windstorm DBH Exponent b parameter e DBH is the tree s DBH in cm e sis the storm s severity set in the parameter for its return interval Below severity 0 1 the model becomes unreliable so in that case the severi
68. function Non Spatial Density Dep Inst Crown Radius d The d term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius e The e term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius f The f term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius g The g term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius h The h term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius i The i term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius j The j term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Log Density Dep Crown Height a The a term in the non spatial logistic density dependent crown
69. in the rest of the run like trees that have died due to natural mortality How to apply it Apply this behavior to the trees that can be killed in storms You must also use the Storm disturbance behavior and have any kind of mortality behavior applied to each tree species and life history stage to which this behavior is applied Behavior reference string storm direct killer Selection harvest This behavior allow you to specify target basal areas for a tree population as a method of harvest input instead of designing specific harvest events How it works You can specify up to four DBH ranges You provide the lower and upper DBH bounds of these ranges and the target amount of basal area for each Each timestep this behavior calculates the amount of basal area in each of these ranges If it is greater than the target this behavior signals to the Harvest behavior that it should remove enough basal area to bring each range back down to its target basal area Since Harvest actually does the tree removal see that behavior s documentation for the method used If the amount of basal area in any given range is less than the target no trees are cut in that range How to apply it Add this behavior to your run Harvest is also needed in the run and should be placed after Selection Harvest in the behavior order Behavior reference string SelectionHarvest Windstorm Windstorm kills trees due to storm events It is similar to the other st
70. is calculated as follows where e DBH is of the target tree in cm e Xo is the NCI Size Effect Mode in cm X0 NCI growth parameter e Xis the NCI Size Effect Variance in cm Xb NCI growth parameter Once the relative increment for an individual tree has been calculated the probability of mortality for that individual is calculated in the following way Prob Z relative increment max where e Prob is the probability of mortality e Zisthe Competition Mortality Shape Parameter Z parameter e maxis the Competition Mortality Maximum Parameter max parameter which indicates the maximum relative increment subject to mortality All trees with a relative increment greater than or equal to max will live How to apply it This behavior can be applied to saplings and adults of any species It cannot be applied to seedlings Any tree species type combination to which it is applied must also have NCI growth This behavior can only be applied with a one year timestep Behavior reference string NCI Mortality Density Self Thinning Mortality This behavior calculates the probability of mortality of an individual juvenile tree as a function of the density and mean diameter of the neighborhood trees Only neighborhood seedlings and saplings are taken into account in this behavior How it works The probability of mortality is calculated with a double Michaelis Menton function J A CO X diam m D x density Y A CX di
71. is covering them up To avoid mistakes you should completely finish each subplot before creating a new one especially if their areas will overlap If you need to make changes to a partially hidden subplot you might want to erase the higher subplot areas and then put them back in when you re done If you are setting up both summary and detailed output and you want to use the same subplots for both there is a button to copy subplots already defined for the other file type to the current file type Displaying additional information Subplots are often used to analyze the effects of specific episodic events such as silvicultural treatments To input episodic events use the Edit Episodic Events Window To help you with this the subplots window will display episodic events for you on the map You can display harvest planned mortality episodes and planting events You scroll through the events in the same order in which they were created in the edit windows The button colors match the colors in which the events will display on the map Note that subplots will cover up episodic events that have the same area and episodic events may cover each other as well If you are having trouble seeing an episodic event use the buttons to set all the other episodic events to display the event number 0 Last updated 18 May 2006 12 56 PM Model menu Run Runs the model with the currently loaded parameter file A file must be complete and all data in it
72. is the number of years per timestep Once a tree s timestep survival probability has been calculated it is compared to a random number to determine whether the tree lives or dies How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a growth behavior applied You must also enter a map of second resource values into the Resource grid Behavior reference string Exponential growth resource mortality GMF mortality GMF mortality is a growth based mortality behavior How it works The GMF mortality model evaluates the following function to determine the probability of a tree s mortality m m ta where e mis the probability of mortality e mjisthe Mortality at Zero Growth parameter for mortality over 2 5 years see Kobe et al 1995 e mis the Light Dependent Mortality parameter for mortality over 2 5 years see Kobe et al 1995 e Gis amount of radial growth in mm yr added to the tree s diameter this timestep The GMF mortality equation is for a 5 year timestep The mortality parameters are for a 2 5 year probability of mortality To calculate the 5 year probability of mortality SORTIE uses p 2 1 1 p Once the probability of mortality is calculated for a tree SORTIE generates a random number to which to compare it to determine whether the tree will live or die This model was originally described in Kobe et a
73. license This program is free software you can redistribute it and or modify it under the terms of the GNU General Public License as published by the Free Software Foundation either version 2 of the License or at your option any later version This program is distributed in the hope that it will be useful but WITHOUT ANY WARRANTY without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE See the GNU General Public License for more details Data license You may use the SORTIE ND software for any purpose including the creation of data for publication in a scientific book or journal One of the primary goals of scientific experiments is replicability of results Therefore if you have modified the SORTIE ND software you may not publish data from it using the names SORTIE or SORTIE ND unless you do one of the following 1 send a copy of the source code of your changes back to the SORTIE ND team at the Institute of Ecosystem Studies for inclusion in the standard version or 2 publish enough detail about your changes so that they could be replicated by a reasonably proficient programmer This product includes software developed by the Apache Software Foundation http www apache org GNU GENERAL PUBLIC LICENSE Version 2 June 1991 Copyright C 1989 1991 Free Software Foundation Inc 59 Temple Place Suite 330 Boston MA 02111 1307 USA Everyone is permitted to copy and distribute verbatim
74. neighbor s size and decreases with distance and storm damage to the neighbor optional The neighbor s species also matters the effect depends on the relationship between the target species and the neighbor species Seedlings never compete You set whether or not snags compete in the Include Snags in NCI Calculations parameter The crowding effect is optional You can omit it by setting either the NCI Crowding Effect Slope C or NCI Max Radius of Crowding Neighbors in m parameters to 0 NCI is calculated as where e the calculation sums over j S species and k N neighbors of each species of at least a DBH of NCI Minimum Neighbor DBH in cm out to a distance of NCI Max Radius of Crowding Neighbors in m e 7 1s the storm damage parameter of the kth neighbor depending on the damage status optional If the neighbor is undamaged the value is 1 If the neighbor has medium damage the value is the NCI Neighbor Storm Damage eta Medium 0 1 parameter for the target species If the neighbor has complete damage the value is the NCI Neighbor Storm Damage eta Complete 0 1 parameter for the target species To omit the storm damage term set all values for the above two parameters to 1 e ais the NCI Alpha parameter for the target tree s species e fis the NCI Beta parameter for the target tree s species e DBH is the DBH of the kth neighbor in cm e qis the NCI DBH Divisor q parameter Set this to a value greater than
75. of Dead that Fall The proportion of the total number of newly dead trees that fall each year as a value between 0 and 1 This does not apply to snags Used by the Substrate behavior Proportion of Fallen that Uproot The proportion of fallen trees that uproot to create new tip up mound substrate as a value between 0 and 1 Used by the Substrate and Detailed Substrate behaviors Proportion of Forest Floor Litter Moss Pool that is Moss The fixed proportion of the forest floor litter moss pool that is moss Expressed as a value between 0 and 1 Used by the Substrate and Detailed Substrate behaviors Proportion of Snags that Uproot The proportion of dead snags that uproot to create new tip up mound substrate as a value between 0 and 1 Not required if snags are not used in the run Used by the Substrate and Detailed Substrate behaviors Prop Live Trees Entering Decay Class X 0 1 The proportion of live trees entering each of the five decay classes The proportion for all five classes together must add up to Used by the Detailed Substrate behavior Prop Snags Entering Decay Class X 0 1 The proportion of snags entering each of the five decay classes The proportion for all five classes together must add up to 1 Used by the Detailed Substrate behavior o sgh Scarified Soil Annual Decay Alpha The a exponent in the decay equation as applied to scarified soil Note that this is annual decay Used by the Substrate
76. of height growth as Y a b diam GLI 100 T where e Y amount of height increase in cm e a Shaded Linear Height Intercept in cm yr a parameter e b Shaded Linear Height Slope b parameter e c Shaded Linear Height Shade Exponent c parameter e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep In order to find the total amount of height increase for a timestep the behavior takes as an input the amount of diameter growth increase Assume that the number of years per timestep is X The amount of diameter increase is divided by X Then the logistic growth equation is calculated X times with the diameter incremented by the amount of diameter increase per timestep each time The total height increment is the sum of the X individual height increments How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter only growth behavior applied Behavior reference string shaded linear growth height Linear growth w exponential shade reduction diam with auto height How it works This behavior calculates an amount of diameter growth as Y a b diam GLI 100 T where Y amount of diameter increase in
77. of trees in size class 2 Trees with a value greater than this are considered to be in size class 3 Used by the Weibull snag mortality behavior Adult self thinning Self thinning is a behavior that uses a pseudo density dependent function designed to increase the death rate in dense uniform age stands You specify a maximum DBH at which to apply it above this DBH a tree will not die There is nothing in this behavior which makes it specifically for adult trees the name is to match existing SORTIE conventions How it works Self thinning uses a simple linear function of probability of mortality as a function of DBH assuming the tree is below the maximum DBH at which to apply self thinning After evaluating this function for a tree it uses a random number to determine whether the tree dies How to apply it This behavior can be applied to seedlings saplings and adults of any species Behavior reference string adultselfthin Adult stochastic mortality This behavior produces a background mortality rate Individuals within the pool of trees to which this behavior applies are randomly selected to die There is nothing about this behavior which makes it only applicable to adults The name conforms to old SORTIE standards and allows it to be distinguished from the Juvenile stochastic mortality behavior so that two different rates can be applied to two different groups of trees How it works For each tree a random num
78. of years per timestep c is the Post Harvest Skid Mort Snag Recruitment Background Prob parameter How to apply it This behavior can be applied to saplings and adults of any species In order for the harvest intensity term to have an effect the float data member HarvInten must be registered for all species type combos to which this behavior is applied by using the HARP external harvesting program along with the Harvest Interface Behavior reference string postharvestskiddingmortality Last updated 08 Jun 2009 08 03 AM Substrate behaviors In this document Substrate parameters Substrate behavior Detailed Substrate behavior Substrate is what seedlings germinate in soil rock and the organic layers on top The quality of the substrate can make a big difference in a seedling s ability to survive and establish The substrate composition in any one place is constantly shifting and changing as new substrate is added to the forest floor and as existing substrate decays These behaviors keep track of the substrate conditions at different locations through time Substrate parameters e Boundary Between Log Diam Classes cm DBH boundary between the small and large log size classes in cm Used by the Detailed Substrate behavior e Clear Cut Large Logs Mean Diameter cm After a clear cut harvest the mean diameter of logs in the large size class in cm This is not required if the Harvest behavior is not used Used by the
79. or the Diam 10 tree data member for seedlings For more on how to save these tree data members see the Setup tree save options window To view volume graphs in the detailed output file save the Tree Volume tree data member for your chosen tree types To access this tree member you must add the Tree volume calculator behavior to your run A line graph may also be created for the contents of a few grids Histograms The visualizer can produce a histogram for most tree and grid values in a detailed output file Tree based histograms display the number of trees per hectare for each species that fall into each of several value groupings for a piece of data For instance a height histogram that divided height into one meter increments would show how many trees of each species were from 0 meters in height from 1 2 meters in height etc Grid based histograms display the number of grid cells that fall into the groupings The visualizer attempts to optimize the histogram for the data it is displaying You can further customize the display of the histogram to suit your data You have your choice of logarithmic or linear Y axis You can also redivide the data by specifying the number of bins into which the data is divided and the size of each bin The visualizer defaults to recalculating the bin size for each timestep in order to best display the data so keep an eye on the bin size as you step through the timesteps If you change the
80. output file for analysis How to apply it Apply this behavior to saplings adults or snags of any species This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup window will list the Partitioned Biomass grid You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Partitioned Height Biomass Relative Neighborhood Density Calculator This behavior calculates the relative neighborhood density index Q as described in Condit et al 2000 Q is a measure of the aggregation of a species It is the average density of conspecific neighbors at a certain distance divided by the overall density of trees in the plot A perfectly random distribution of individuals for a species would result in Q 1 Q gt 1 at short distances indicates species aggregation Q lt 1 at short distances indicates spacing among individuals How it works Q values are calculated for each species for a succession of distances out to a maximum For each tree the conspecific neighbors are counted in an ring described by the radii x to Ax This value is divided by the area of the ring to get the density of neighbors at that distance This density is averaged over all trees of each species This average density of neighbors at a given distance is then relativized by dividing by the density of that species across the plot den w
81. parameter Storm Effect Shading Effect Size Effect and Crowding Effect are all optional factors which act to reduce the maximum survival probability and will vary depending on the conditions a tree is in All values are bounded between 0 and 1 Size Effect is calculated as where e DBH is of the target tree in cm e Xo is the NCI Size Effect Mode in cm parameter e Xj is the NCI Size Effect Variance in cm Shading Effect 1s calculated as where e mis the NCI Shading Effect Coefficient m parameter e nis the NCI Shading Effect Exponent n parameter e Sis the amount of shade cast by neighbors from 0 no shade to 1 full shade This value should come from the Sail light behavior This effect is not required To omit the Shading Effect set the NCI Shading Effect Coefficient m parameter to 0 Crowding Effect is calculated as vee pre Yaar D C DEH NCI 2 Lj where e Cis the NCI Crowding Effect Slope C parameter e Dis the NCI Crowding Effect Steepness D parameter e DBH is of the target tree in cm e yis the NCI Size Sensitivity to NCI gamma parameter for the target tree s species e NCliis this tree s NCI value equation below The NCI value sums up the competitive effect of all neighbors with a DBH at least that of the NCI Minimum Neighbor DBH in cm parameter out to a maximum distance set in the NCI Max Radius of Crowding Neighbors in m parameter The competitiveness of a neighbor increases with the
82. radius e Mis the Storm Light Minimum Trees For Full Canopy parameter e ais the Storm Light Intercept of Light Function parameter e bis the Storm Light Slope of Light Function parameter e Nisthe proportion of trees that are dead or were heavily damaged in recent storms This behavior calculates the light levels at the center of each grid cell by examining the trees within the distance given in the Storm Light Max Radius m for Damaged Neighbors parameter The first term in the equation T M 100 corrects the light level if the point is not under full canopy All adults and snags no matter what storm damage are counted up and assigned to T If T gt M then the first term is set to 0 and only the second part a b N is evaluated If T M then the first term adds to the linear portion the proportion of full sun equal to the proportion of trees missing from the full canopy For the second linear term the behavior counts the number of dead and heavily damaged trees as a proportion of all adults and snags Trees count as heavily damaged if they are either snags that were created as a result of a storm killing an adult tree or live adults with heavy storm damage All storm damaged trees have a time since damage counter only those eligible trees with a counter value less than or equal to the value in the Storm Light Max Years Damaged Trees Affect Light parameter are counted Saplings and seedlings never count All sna
83. right the current episodic event cells are displayed in color Untreated plot cells are white For more on what displayed information means see the topics on episodic event entry below Creating new episodic events Choose the tab of the type of episodic event you would like to create Then click New A new window will come up where you can enter the episodic event For more on how to enter the episodic event see the topics on episodic event entry below Editing existing episodic events Choose the tab of the type of episodic event you would like to edit Use the backward and forward buttons to navigate through the episodic events and display the one you want to edit Then click Edit A new window will come up displaying the episodic event Edit it as you wish For more see the topics on episodic event entry below Deleting existing episodic events Choose the tab of the type of episodic event you would like to delete Use the backward and forward buttons to navigate through the episodic events and display the one you want to delete Then click Delete Episodic events edit windows For more on how to enter episodic events see the individual episodic event edit topics Edit Harvest Edit Mortality Episode Edit Planting Edit planting diameter at 10 cm 04 Jun 2004 02 30 PM Edit Harvest Window This window is reached from the Edit Episodic Events Window by clicking on the Harvest tab and selecting New or Edit
84. severity index 2 Mapped Stochastic The storm severity for each location is determined by performing a random draw on a probability distribution function with the overall storm severity providing the function mean Each location s severity is multiplied by its susceptibility to arrive at the final storm damage index for that location 3 Uniform Deterministic All plot locations are directly assigned the storm s severity index 4 Uniform Stochastic The storm damage index for each location is determined by performing a random draw on a probability distribution function with the overall storm severity providing the function mean How to apply it Add the behavior to the behavior list for your run A few rules e If you set the Plot Storm Susceptibility Pattern parameter equal to Mapped you must provide a map of plot susceptibility values You do this by using the Grid Value Edit Window to enter values 0 or greater for each cell of the grid called Storm Susceptibility e If you set the Storm Damage Application parameter equal to Stochastic you must choose a probability function in the Stochastic Pattern Damage Distribution If you choose Lognormal or Normal you must provide a function standard deviation in the Standard Deviation lognormal or normal parameter e f you do not also enable the Storm damage applier behavior storms may occur but nothing else will happen trees won t suffer any damage as a re
85. shade reduction height only behavior Lognormal Height Shape Parameter b Shape parameter Used by the Lognormal with exponential shade reduction height only behavior Michaelis Menton with Negative Growth Alpha Alpha parameter Used by the Michaelis Menton with negative growth height only behavior Michaelis Menton with Negative Growth Beta Beta parameter Cannot be equal to zero Used by the Michaelis Menton with negative growth height only behavior Michaelis Menton with Negative Growth Gamma Gamma parameter Used by the Michaelis Menton with negative growth height only behavior Michaelis Menton with Negative Growth Phi Phi parameter Used by the Michaelis Menton with negative growth height only behavior Michaelis Menton with Photoinhibition Alpha Alpha parameter Used by the Michaelis Menton with photoinhibition height only behavior Michaelis Menton with Photoinhibition Beta Beta parameter Cannot be equal to zero Used by the Michaelis Menton with photoinhibition height only behavior Michaelis Menton with Photoinhibition D D parameter Used by the Michaelis Menton with photoinhibition height only behavior Michaelis Menton with Photoinhibition Phi Phi parameter Used by the Michaelis Menton with photoinhibition height only behavior Mortality Threshold for Suppression Defines the growth rate for suppressed status in terms of tree mortality The value is expressed as the proportion of trees which die
86. so that you can quickly find the information you want Clicking on different parts of the structure bring up windows to edit those options You will find that there are multiple ways to find view and edit the same information Once you have experience with this window you may use different methods to edit behaviors depending on the nature of the edit you need to do This window has the following options View by behavior View by data species first View by data type first View by behavior This button changes the view to a hierarchical structure that shows behaviors at the top level Each behavior for the current run is listed in order Expanding the tree under a behavior shows the grids and trees to which it applies Clicking on the name of any behavior brings up the Current run behaviors window where you can edit the list of behaviors their order and to what trees they apply Clicking on any grid name brings up the Grid setup window where you can set options for grids Expanding trees shows you the tree types to which the behavior is assigned first by tree type and then by species Clicking on a species name brings up the tree behavior window which you can use to set up the behaviors applied to the chosen tree type and species combination View by data species first This button changes the view to a hierarchical structure that shows grids and trees at the top level In the tree structure portions species is shown at
87. the Light Dependent Seed Survival behavior Light Extinction Coeff of Undamaged Trees 0 1 The fraction of light transmitted by the crowns of regular live trees and if storms are being used trees with no Storm damage Expressed as a value between 0 and 1 A value must be supplied for every species See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Mean Height of Fresh Log Substrate in m The mean height of fresh log substrate in meters Used by the Establishment with Microtopography behavior Mean Height of Mounds in m The mean height of mounded areas in meters Used by the Establishment with Microtopography behavior Minimum Solar Angle for GLI Calculations in rad This is the minimum angle at which sunlight is seen in radians Below this value the sky is assumed to be dark due to shading neighbors See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Number of Altitude Sky Divisions for GLI Light Calculations Number of grid cells into which the sky is divided from horizon to zenith for the purpose of calculating light direction See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Number of Azimuth Sky Divisions for GLI Light Calculations Number of grid cells into which the sky is divided around the horizon for the purpose of calculating light direction See L
88. the beginning of the behavior mini model run that seedfall occurs Used by the Functional response seed predation linked behavior Lnk Func Resp Predator Initial Density num sq m The initial density of the predator population in numbers per m This will be used the first time this behavior is run Whether this density is used for subsequent behavior mini model runs depends on the value of the Keep Predator Densities Between Timesteps parameter Used by the Functional response seed predation linked behavior Lnk Func Resp Proportion of Seeds Germinating Each Week During the period that germination occurs this is the fraction of the seed pool that is removed due to seed germination Expressed as a value between 0 and 1 Used by the Functional response seed predation linked behavior Lnk Func Resp Seed Predation Output Filename If Desired The filename where the mini model will store its intermediate results for later analysis if desired This value is not required Used by the Functional response seed predation linked behavior Lnk Func Resp Week Germination Begins The week during the behavior mini model run that germination begins to occur If you do not want germination to occur set this value greater than or equal to the Weeks to run seed predation model 1 52 parameter This value must be between 0 and 52 Used by the Functional response seed predation linked behavior Lnk Func
89. the filename and extension as the executable expects to find it Tree harvest file that the executable will write This is the full path and filename of the file that the executable writes with the list of trees to be harvested Input the filename and extension as it will be written by the executable How often to harvest in years How often SORTIE will perform the harvest process This number must be a positive integer value Behavior currently assigned to This is the tree types and species to which the harvest interface behavior are applied Only these trees will be written to the text file that is passed to the executable Use the Edit button to add or remove from the list File columns The columns in the text files written by both SORTIE and the executable in the order that they will appear The text in this list matches the text in the column headers Parameters file for batch run optional If you want SORTIE to manage input files for the executable when in SORTIE batch mode this is the full path and filename of the file that contains the executable s input parameters for each run in the entire batch Single run parameters file for batch run optional If you want SORTIE to manage input files for the executable when in SORTIE batch mode this is the full path and filename of the file that SORTIE will write with the executable s input parameters for a single run in the batch Arguments to pass to the executable optional SORTIE
90. the least the parameter file must specify the length of the run see Run Setup describe the plot define the tree species and their attributes list the behaviors in the order in which they will run and provide whatever data the behaviors need In addition parameter files can contain very detailed initial conditions in the form of maps of tree and grid data This data is normally produced in detailed output files For more on how to add this data to a parameter file see Adding to a parameter file Editing a parameter file The SORTIE ND model interface is designed to give you all the tools you need to create and modify your parameter files You are welcome to view and modify the new parameter files directly if you wish They can be opened in any text editor Be warned however that with the XML data format this is an extremely daunting task and you will never actually need to do it For detailed instructions on creating a new parameter file from scratch see the Creating a parameter file topic To edit existing parameter files you can use the different choices in the Edit menu Tree Setup to set up the basics of the tree population Grid Layer Setup to configure grids Model flow to specify the behaviors to use and in what order Parameters to provide parameter values and Output options to set up reporting Validating a parameter file In order to run a parameter file must be complete and all data in it valid As you edit a parameter
91. the plot it would run the risk of searching around the world It would work its way around the torus and back to and past the place it started finding the same trees multiple times Plot parameters e Plot Length in the X E W Direction in meters The length of the plot in the east west direction in meters e Plot Length in the Y N S Direction in meters The length of the plot in the north south direction in meters e Plot Latitude in decimal degrees The plot latitude expressed in degrees and partial degrees i e 39 10 15 Aug 2004 10 01 PM Creating a parameter file This topic covers creating a parameter file from scratch To make a basic parameter file you need to define the tree population choose the list of behaviors that will run and enter parameter values for your file You can save your work at any point in the process and come back to it later In this document Setting up the tree population Setting up the behavior list Setting parameter values Other options Setting up the tree population You can use the File menu and choose the option New parameter file for a short wizard that will get you started First you will see the Tree setup window At a minimum you must create a list of tree species If you want to define the initial conditions of your tree population using densities in size classes and you know what you want your size classes to be you can set them up at this point Otherwise you can
92. then the grid won t show up in the list When you are finished with a grid you can choose another from this list Cell length in X E W direction in m Displays and sets the size of the grid in the X E W direction in meters Some grids do not allow you to change their cell size consult the documentation for individual grids for any limitations or recommendations You can enter any number that you wish between 0 and the length of the plot in the X direction The number does not have to be an integer Once you have entered your desired value you must click Update this grid to save your changes Cell length in Y N S direction in m Displays and sets the size of the grid in the Y N S direction in meters Some grids do not allow you to change their cell size consult the documentation for individual grids for any limitations or recommendations You can enter any number that you wish between 0 and the length of the plot in the Y direction The number does not have to be an integer Once you have entered your desired value you must click Update this grid to save your changes Apply cell size changes Use this button to update the current grid with any changes you have made to the cell size If you do not click this button your changes will be lost You must click this button for each grid you wish to update View edit save grid values Use this button to open the Grid Value Edit window This window allows you to vi
93. to a maximum of a constant basal area increment The amount of diameter increase is calculated by dividing the annual basal area increment of the tree s species by the diameter of the tree The increment is calculated as described in the Constant basal area growth behavior How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string relba diam only Non limited relative growth diam with auto height How it works The amount of increase returned by the relative growth equation is applied to the tree Tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string relunlim Non limited relative growth diam only How it works The amount of increase returned by the relative growth equation is applied to the tree How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string relunlim diam
94. try minimizing and then restoring the chart window this guarantees that it has refreshed Tables An overview table is available for both summary output files and detailed output files This table shows basal area and density information for each tree life history stage In the case of a summary output file only the data that you saved in the summary output file setup window are shown For a detailed output file data is shown for each tree species and life history stage for which you have saved at least DBH or diameter at 10 cm for seedlings If you know you want to look at this table type you should save a summary output file The graphing performance will be significantly better When you save DBH data and optionally height you can also view stand tables These show density or basal area data broken out by DBH size classes that you define When you save DBH and tree volume from the Tree volume calculator behavior you can view a stock table with tree volume broken out by DBH size classes that you define In addition the stock table displays the Mean Annual Increment MAI which is calculated as MAI Volume T number of years per timestep T for a given timestep T and the volume per year for each timestep for those trees that contributed to the table and if you have saved height data the average of the 10 tallest trees in the plot not just the 10 tallest trees who have provided data to the table Detailed output fil
95. using this window If you try to add them you will see a message saying Use this behavior s own dialog This means that it has options that can be set up through a window accessible from the main SORTIE menu Removing behaviors To remove a behavior from the list assigned to this species type combination select it in the list labeled Assigned behaviors and click the button marked Remove This does not affect the behavior s assignment to any other trees Apply to species type There is a button marked Apply to species type to apply your changes to the tree type species combination for instance Apply to Species 1 Saplings Behaviors you have added to the list are applied to that species type combination Behaviors you have removed have that species type combination deleted from their list If a tree dependent behavior no longer applies to anything as a result of your choice it is removed from the run If you have made an invalid behavior assignment you will receive an error message and be given the opportunity to correct your choices Apply to all type There is a button marked Apply to type to apply your changes to all species of the specified tree type All existing behavior applications for any species of the specified type are deleted and replaced with the behavior choices listed If a tree dependent behavior no longer applies to anything as a result of your choice it is removed from the run If you have made a
96. values representing each substrate age The final proportion of the moss litter pool is whatever grid cell area is left over The pool is further split into moss and litter by using fixed proportions of each in the pool as specified by the Proportion of Forest Floor Litter Moss Pool that is Moss parameter How to apply it Apply Detailed Substrate to all trees which can create substrate by becoming fallen logs This generally means that it should be applied to adults and snags of all species Substrate cannot be applied to seedlings or saplings Any tree species type combination to which it is applied must also have a mortality and snag dynamics behavior applied Behavior reference string detailedsubstrate Last updated 16 Jan 2008 02 12 PM Dead tree remover behaviors This type of behavior performs cleanup by removing dead trees from memory at the appropriate time This function is very important if it did not occur then the model would slow exponentially as memory filled up and those behaviors that look at recently dead trees would start getting strange results Currently there is only one Dead tree remover How it works This behavior looks for the death flag as set by the mortality behaviors For each tree that it finds with that flag it sends a request to the tree population to kill the tree The reason passed to the tree population for the death of the tree is natural death How to apply it This behavior should be app
97. whole must be on the terms of this License whose permissions for other licensees extend to the entire whole and thus to each and every part regardless of who wrote it Thus it is not the intent of this section to claim rights or contest your rights to work written entirely by you rather the intent is to exercise the right to control the distribution of derivative or collective works based on the Program In addition mere aggregation of another work not based on the Program with the Program or with a work based on the Program on a volume of a storage or distribution medium does not bring the other work under the scope of this License 3 You may copy and distribute the Program or a work based on it under Section 2 in object code or executable form under the terms of Sections 1 and 2 above provided that you also do one of the following e a Accompany it with the complete corresponding machine readable source code which must be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange or e b Accompany it with a written offer valid for at least three years to give any third party for a charge no more than your cost of physically performing source distribution a complete machine readable copy of the corresponding source code to be distributed under the terms of Sections 1 and 2 above on a medium customarily used for software interchange or e Accompany it with the informatio
98. will pass this string value to the executable when launching it Tree update file that the executable will write If extra tree data members have been created for the executable to control this is the full path and filename of the file the executable will write with updates to these data members If there is an update file there must also be new tree data members in the New tree data members to add section New tree data members to add Extra tree data members to be created for the executable to control if desired The names can be up to 9 characters long must not match the name of any existing data member and must not contain parentheses If there are new tree data members there must also be an update file 24 Oct 2006 09 10 AM Edit diameter at 10 cm This window is reached through the Edit Episodic Events Window by clicking on the Plantings tab and clicking the button marked Edit initial diameter at 10 cm When planting seedlings see more on the planting behavior or the Edit Planting Window you can allow their size to default to the value in the New seedling diameter at 10 cm parameter of the tree population or you can specify values for each species All plantings for a run share the same set of values For each species enter the diameter at 10 cm value for newly planted seedlings of that species Actual values will be slightly randomized around these values 07 Dec 2004 10 55 AM Output setup window This windo
99. window If you have existing harvest regime files with planting data from previous versions of SORTIE you can input them into your run as well For instructions on how to do this see the Adding to a parameter file topic Behavior reference string plant 25 Jan 2005 01 01 PM Analysis behaviors In this document Analysis parameters Carbon Value behavior Dimension Analysis behavior Foliar Chemistry behavior Merchantable Timber Value behavior Partitioned DBH Biomass behavior Partitioned Palm Biomass behavior Ripley s K Calculator behavior Relative Neighborhood Density Calculator behavior Storm Killed Partitioned DBH Biomass behavior Storm Killed Partitioned Palm Biomass behavior Tree Bole Volume calculator behavior Tree Age behavior Tree Volume Calculator behavior Analysis behaviors are those whose only purpose is to prepare data for output They do not change model state such as growing trees or updating grid values They assemble calculate or analyze data for the user Analysis parameters e Bole Volume Form Class 60 100 Calculates the amount of taper to the top of the first 16 foot log in a tree This is the diameter at the top of that log as a percentage of DBH between 60 and 100 Used by the Tree Bole Volume Calculator behavior e Bole Volume Parameter b0 The 50 parameter for the bole volume equation Used by the Tree Bole Volume Calculator behavior e Bole Volume Parameter b1 Th
100. 1 1 4 2 1 3 2 3 8 1 4 2 2 133 39 1 1 1 5 2 2 13 3 39 11 1 5 23 3 4 4 1 2 1 5 24 3 5 Apply this behavior to saplings adults or snags of any species and enter parameters in the Parameter edit window This behavior does not automatically create output Once you have 6th 4 4 4 5 4 6 4 7 4 9 5 1 5 3 added this behavior to your run the Detailed output setup window for trees will have a tree data member called Tree Bole Volume Add this to your detailed output file to output volume in cubic feet You can then view charts and graphs with the resulting volume data using data visualization on your detailed output file Behavior reference string tree bole volume calculator Tree Volume Calculator This behavior calculates the volume of tree trunks It can be used to find both merchantable volume and total volume Make sure to distinguish between this behavior and the other tree volume behavior How it works Tree volume is estimated by dividing the trunk into segments and calculating the volume of each segment You control where the trunk starts and stops and the length of segments used Trunks start at the value in the Height to Begin Calculating Trunk Volume in cm parameter To calculate merchantable volume set this to the average stump height To calculate total volume set this to zero Trunks end when their diameter inside the tree bark becomes smaller than the volume in the Minimum Trunk Diameter for
101. 1 to rescale the competitive effects of neighbors e Ai is the Species j NCI Lambda parameter for the target species relative to the kth neighbor s species e distance is distance from target to neighbor in m The value of Damage Effect is optional If you elect not to use storms in your run set all values in the NCI Damage Effect Medium Storm Damage 0 1 and NCI Damage Effect Complete Storm Damage 0 1 parameters to 1 If you are using storms then the value of Damage Effect depends on the tree s damage category If the tree is undamaged Damage Effect equals 1 If the tree has medium storm damage the value is the NCI Damage Effect Medium Storm Damage 0 1 parameter If the tree has complete storm damage the value is the NCI Damage Effect Complete Storm Damage 0 1 parameter The survival probability as calculated above is an annual probability For multi year timesteps the timestep probability is AP where AP is the annual probability and X is the number of years per timestep Once a tree s timestep survival probability has been calculated it is compared to a random number to determine whether the tree lives or dies How to apply it This behavior can be applied to saplings and adults of any species It cannot be applied to seedlings If the Shading Effect term is activated in the growth equation then the trees to which this behavior is applied must also have a light behavior applied the Sail light behavior is the one d
102. 16 foot logs a tree contains it uses another set of tables based on form class to determine how many board feet of timber the tree contains These tables are also from Messavage and Girard 1956 and are shown below Average upper log taper inches in 16 foot logs 2 log tree DBH in 10 12 14 16 18 20 2 24 26 28 30 32 34 36 2d log 1 4 1 6 1 7 1 9 2 2 1 2 2 2 3 2 4 2 5 2 6 2 7 2 8 2 8 3 log tree 2d log 1 2 1 3 1 4 1 5 1 6 1 7 1 8 1 8 1 9 1 9 2 2 2 1 24 3d log 1 4 1 5 1 6 1 7 1 8 1 9 2 2 2 2 3 2 5 2 6 2 7 2 7 2 8 4 log tree 2d log 1 1 1 2 1 2 1 3 1 4 1 4 1 5 1 5 1 6 1 7 1 7 1 8 1 8 3d log 1 4 1 3 1 6 1 7 1 8 2 2 2 2 3 2 4 2 5 2 5 2 5 2 6 4th log 1 9 2 2 1 2 2 2 4 2 5 2 6 2 7 2 8 3 3 1 3 3 3 4 1 1 1 1 1 1 1 1 1 2 1 2 1 2 1 3 1 3 5 log tree 3d log 2 1 2 2 4th log 2 2 2 3 2 4 2 9 2 6 2 7 2 9 6 log tree 5th 2d 3d 4th Sth log log log log log 3 3 0 9 1 4 2 1 3 2 35 09 14 2 1 32 3 7 1 1 4 2 1 32 3 8 1 1 4 2 2 3 3 3 9 1 1 1 5 2 2 3 3 4 4 4 5 4 6 4 7 4 9 38 29 2 1 2 8 19 2 6 13 4 1 3 12 2 3 1 3 9 1 1 15 2 3 13 4 15 1 40 29 2 2 2 8 19 2 7 113 4 1 4 112 3 3 2 4 12 1 5 2 4 3 5 5 3 Volume board feet by number of usable 16 foot logs Form Class 78 DBH inches 1 log 2 logs 33 logs 4 logs 5 logs 6
103. 2 The seed predator population demographic efficiency for season 2 Used by the Functional response seed predation behavior e Func Resp Density Dependent Coeff Season 1 The coefficient describing the effect that density dependent factors have on the predator population instantaneous rate of change in season 1 Used by the Functional response seed predation behavior e Func Resp Density Dependent Coeff Season 2 The coefficient describing the effect that density dependent factors have on the predator population instantaneous rate of change in season 2 Used by the Functional response seed predation behavior e Func Resp Foraging Efficiency The predator population foraging efficiency for each seed species Used by the Functional response seed predation behavior e Func Resp Keep Predator Densities Between Timesteps If true this means that the final predator density at the end of the behavior mini model run is the initial density for the next mini model run If false every time the behavior mini model runs it is re initialized with the value of the Predator initial density num sq m parameter Used by the Functional response seed predation behavior e Func Resp Max Decline Rate Season 1 predators week The maximum rate of decline in the predator population in the absence of any food in predators per week for season 1 Used by the Functional response seed predation behavior e Func Resp Max Decline Rate Season 2 predators week
104. 294 2 669 35 663 1 204 1 692 2 080 2 454 2 846 36 702 1 278 1 797 2 212 2 614 3 022 37 744 11 355 1 912 2 352 2 788 3 219 38 785 1 432 2 027 2 493 2 9062 3 416 39 828 1 515 2 144 2 644 3 130 3 614 40 872 11 598 2 260 2 795 3 298 3 813 How to apply it Apply this behavior to saplings adults or snags of any species and enter parameters in the Parameter edit window This behavior does not automatically create output Once you have added this behavior to your run the Detailed output setup window for trees will have a tree data member called Merchantable Value Add this to your detailed output file to output volume in cubic feet You can also use the Detailed output grid setup window to save the data members in the Merchantable Timber Value grid which contains the total value for each species You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Merch Value Calculator Partitioned DBH Biomass This behavior calculates biomass as a linear function of DBH partitioned into leaf branch and bole biomass How it works The mass of all components is calculated using the same equation but using different parameters The equation is Bio di DBH bi where e Bio biomass in kg dry weight of the component in question e dj the a parameter for the component e bj the b parameter for the component e DBH trees DBH in cm The amount of each type of
105. 36 37 38 39 40 43 54 66 80 93 108 123 142 160 180 200 223 246 271 296 322 347 376 406 438 470 504 538 574 611 647 683 724 765 808 851 Form Class 85 DBH inches 1 log 2 logs 3 logs 4 logs 5 logs 6 logs 71 91 111 135 159 185 211 244 277 314 351 392 434 480 525 572 619 673 127 786 844 907 970 1 037 1 104 1 173 1 242 1 318 1 393 1 476 1 558 91 118 145 178 212 249 286 332 377 428 479 537 595 660 724 790 855 932 1 010 1 092 1 173 1 265 1 357 1 453 1 549 1 648 1 746 1 859 1 972 2 088 2 203 1 042 1 136 1 230 1 330 1 429 1 546 1 664 1 782 1 901 2 023 2 145 2 284 2 422 2 570 2 719 10 45 74 94 11 56 94 122 12 68 114 150 173 13 82 138 184 214 14 95 163 217 254 15 111 191 3257 304 16 127 219 297 1355 17 146 252 342 1412 18 164 285 388 468 19 184 322 440 5531 20 205 360 492 594 678 21 228 402 550 667 765 22 251 444 609 740 852 23 276 490 675 818 950 24 302 537 741 895 1 047 25 330 588 812 2086 1153 26 357 638 882 1 076 1 259 27 387 693 961 1 172 1 374 28 417 745 1 040 1 267 1 490 1 6839 29 448 807 1 122 1 368 1 616 1 844 30 481 866 1 205 1 469 1 741 1 999 31 516 930 1 298 1 588 1 874 2 160 32 550 993 1 391 1 706 2 006 2 321 33 587 1 061 1 488 1 827 2 150 2 495 34 624 1 129 1 586 1 948 2
106. 6 2 124 2 458 36 620 121 1 571 1 922 2 264 2 612 37 656 1 188 1 672 2 044 2 416 2 783 38 693 1 256 1 772 2 167 2 568 2 954 39 732 1 330 1 874 2 300 2 714 3 127 40 770 1 403 1 977 2 432 2 860 3 300 Form Class 81 DBH inches 1 log 2 logs 3 logs 4 logs 5 logs 6 logs 10 40 65 82 11 50 82 106 12 60 100 130 150 13 72 122 160 186 14 85 144 190 221 L 15 100 170 228 268 16 115 197 265 516 17 132 226 306 366 18 148 256 346 415 19 166 290 1392 471 20 185 323 4439 527 598 21 206 360 492 592 676 22 227 398 544 1656 754 23 250 439 1602 7724 838 24 272 480 414659 791 923 25 298 528 726 877 1 024 26 324 575 1793 963 1 124 27 351 624 863 1 047 1 226 28 378 674 933 1 131 1 327 1 502 29 406 726 1 006 1 220 1 438 1 640 30 435 779 1 080 1 310 1 549 1 777 3l 466 836 1 162 1 416 1 666 1 918 32 497 892 1 245 1 522 1 784 2 059 33 530 953 1 332 1 628 1 910 2 214 34 563 1 014 1 419 1 734 2 037 2 368 35 600 1 084 1 518 1 859 2 188 2 534 36 637 1 154 1 618 1 984 2 338 2 700 34 674 1 223 1 721 2 109 2 494 2 874 38 712 1 292 1 824 2 234 2 649 3 049 39 751 1 366 1 928 2 368 2 796 3 224 40 790 1 441 2 032 2 502 2 944 3 399 Form Class 84 DBH inches 1 log 2 logs 3 logs 4 logs 5 logs 6 logs 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35
107. 628 1753 875 25 282 499 685 826 060 26 305 540 742 899 11 046 27 331 588 810 980 1 144 28 357 635 877 1 061 1 242 1 404 29 385 686 948 1 148 1 350 1 537 30 413 737 1 020 1 235 1 458 1 670 31 444 792 1 100 1 338 1 572 1 808 32 474 848 1 181 1 440 1 685 1 945 33 506 907 1 265 1 544 1 808 2 094 34 538 966 1 349 1 647 1 932 2 244 35 570 1 026 1 435 1 754 2 000 2 384 36 602 1 087 1 521 11 860 2 189 2 525 37 638 1 154 1 620 1 980 2 338 2 694 38 674 1 220 1 720 2 101 2 488 2 862 39 712 1 292 1 822 2 232 2 632 3 031 40 750 1 365 1 923 2 362 2 775 3 200 Form Class 80 DBH inches 1 log 2 logs 3 logs 4 logs 5 logs 6 logs 10 39 63 80 11 49 80 104 12 59 98 127 146 13 71 120 156 181 14 83 141 186 216 15 98 166 221 3260 16 112 190 256 305 17 128 219 296 354 18 144 248 336 402 19 162 281 382 41457 20 181 314 427 51512 580 21 201 350 1478 1575 656 22 221 387 528 638 732 23 244 428 586 7706 816 24 266 469 644 1773 899 25 290 514 706 1852 992 26 315 558 767 931 1 086 27 341 606 836 11 014 1 185 28 367 654 904 1 096 1 284 1 453 29 396 706 977 1 184 1 394 1 588 30 424 758 1 050 1 272 1 503 1 723 31 454 814 1 132 1 376 1 618 1 862 32 485 870 1 213 1 480 1 733 2 001 33 518 930 1 298 1 586 1 858 2 152 34 550 989 1 383 1 691 1 984 2 304 35 585 1 055 1 477 1 80
108. I Crowding Effect Slope C or NCI Max Radius of Crowding Neighbors in m parameters to 0 NCI is calculated as where e the calculation sums over j 5 species and k N neighbors of each species of at least a DBH of NCI Minimum Neighbor DBH in cm out to a distance of NCI Max Radius of Crowding Neighbors in m e ngis the storm damage parameter of the kth neighbor depending on the damage status optional If the neighbor is undamaged the value is 1 If the neighbor has medium damage the value is the NCI Neighbor Storm Damage eta Medium 0 1 parameter for the target species If the neighbor has complete damage the value is the NCI Neighbor Storm Damage eta Complete 0 1 parameter for the target species To omit the storm damage term set all values for the above two parameters to 1 e ais the NCI Alpha parameter for the target tree s species e fis the NCI Beta parameter for the target tree s species e DBH is the DBH of the kth neighbor in cm e qis the NCI DBH Divisor q parameter Set this to a value greater than 1 to rescale the competitive effects of neighbors e Ax is the Species j NCI Lambda parameter for the target species relative to the kth neighbor s species e distance is distance from target to neighbor in m The value of Damage Effect is optional If you elect not to use storms in your run set all values in the NCI Damage Effect Medium Storm Damage 0 1 and NCI Damage Effect Complete Storm Da
109. Linear bi level growth diam only This behavior increments growth according to a simple linear equation with the possibility of two sets of parameters for each species one for high light conditions and one for low light conditions This can also be used alone without the light levels How it works The equation used by this behavior to increment growth is Y a b diam T where e Y amount of diameter growth in cm e a growth intercept in high light conditions this is the Linear Bi Level Intercept for High Light Growth a parameter in low light conditions this is the Linear Bi Level Intercept for Low Light Growth a parameter e b growth slope in high light conditions this is the Linear Bi Level Slope for High Light Growth b parameter in low light conditions this is the Linear Bi Level Slope for Low Light Growth b parameter e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults e T number of years per timestep Light levels come from the Storm Light grid produced by the Storm Light behavior The threshold between the use of high light and low light parameters is set in the Linear Bi Level Threshold for High Light Growth 0 100 parameter This behavior can also be used without Storm Light In this case only the low light growth parameters are used How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combinat
110. Rename Copy This lets you make one species a copy of another species It opens a window where you can select a species and one or more species to make a copy of that species If you want to make a new species that is a copy of an existing species first create the new species using the Add button then use the copy button to select the species it should be a copy of Any existing behavior settings and parameters for a species that becomes a copy of another species are removed and replaced by settings and parameters identical to the species being copied If the species that becomes a copy was the only species assigned to a behavior that behavior is removed from the run Up and Down This lets you change the order of species in the list Select one or more species and click the buttons to move them Remove To remove a species select a species in the list and click the button marked Remove Last updated 29 Feb 2008 02 39 PM Edit size classes window This window is reached from the menu option Edit gt Tree Population gt Edit initial density size classes in the main SORTIE ND window It allows you to edit the size classes for the tree population Size classes help you define an initial tree population for your run When you have size classes set up you can specify an initial density of trees in each size class in the Parameters window You can have as many size classes as you want The upper DBH bound of a size class is its number
111. Resp Week Season 2 Begins Used by the Functional response seed predation linked behavior Lnk Func Resp Weeks to Run Seed Predation Model 1 52 The number of weeks timesteps to run the behavior s mini model This number must be between 1 and 52 Used by the Functional response seed predation linked behavior Neighborhood Predation Counts For Masting Determines which species are included when totaling up seed numbers to determine whether or not masting has occurred Used by the Neighborhood seed predation behavior Neighborhood Predation Mast Event Decision Method Determines how masting is decided If this is set to Seed threshold then masting events occur when seed levels are above a set threshold If this is set to Ask disperse then masting has occurred if any of the applicable species masted as determined by the masting disperse behaviors Used by the Neighborhood seed predation behavior Neighborhood Predation Masting p0 The po term in the seed offtake equation under masting conditions Used by the Neighborhood seed predation behavior Neighborhood Predation Species i Masting pn The p term for species i in the seed offtake equation under masting conditions Used by the Neighborhood seed predation behavior Neighborhood Predation Masting Seed Density m2 yr The density of edible seed that indicates masting has occurred Used by the Neighborhood seed predation behavior Neighborhood Predation Minimum Neigh
112. SAP A ot Bal 5 A g l e e chis the crown depth in meters e height is the tree s height in m e ais the Non Spatial Log Density Dep Crown Height a parameter e bis the Non Spatial Log Density Dep Crown Height b parameter e cis the Non Spatial Log Density Dep Crown Height c parameter e dis the Non Spatial Log Density Dep Crown Height d parameter e eis the Non Spatial Log Density Dep Crown Height e parameter e fis the Non Spatial Log Density Dep Crown Height f parameter e gis the Non Spatial Log Density Dep Crown Height g parameter e DBH is the tree s DBH in cm e radiis the instrumental crown radius of the target tree in meters calculated using the function below e STPH is number of stems per hectare of adult trees within the entire plot e BAPH is the basal area in m per hectare of adult trees within the entire plot e BAL is the sum of the basal area of all trees taller than the height of the target tree in m per hectare The instrumental equation for calculating radi is as follows rad a b DBH c Height d DBH e Height f DBH g STPH h BAPH i BAL j Height DBH where rom e ais the Non Spatial Density Dep Inst Crown Radius a parameter e bis the Non Spatial Density Dep Inst Crown Radius b parameter tutt e cis the Non Spatial Density Dep Inst Crown Radius c parameter e dis the Non Spatial Density Dep Inst Crown Radius d paramete
113. SORTIE ND User Manual Version 6 10 01 March 5 2010 Author Lora E Murphy Cary Institute of Ecosystem Studies SORTIE ND User Manual e What s New e What s New Archives e Getting started with SORTIE ND o New users o Users of previous versions e Run setup and progression e The SORTIE ND plot e Using SORTIE ND o Creating a parameter file o Parameter file additions o Output o Batching e The SORTIE ND menu o File menu Batch setup window o Edit menu Parameters window Harvest interface window Schedule storms window Tree population set allometry functions window Cree population edit species list window Tree population edit initial density size classes window Tree population manage tree maps window Grid setup window Grid value edit window Model flow window Current run behaviors window Tree behavior edit window Tree assignments window Episodic events window Edit harvest window Edit mortality episode window Edit planting window Edit harvest interface window Edit diameter at 10 cm window Output options window Setup detailed output file window Setup tree save options window Setup grid save options window Summary output file setup window Edit subplots window o Model menu o Help menu e Trees O O Allometry Tree data member list e Behaviors O Oo Oo OOo 000000 O e Gri jon n
114. Skid Mort Windthrow Intensity Effect parameter mis the harvest intensity from the tree s HarvInten data member from the HARP external harvesting program available for download from the SORTIE web site 7 wis the Post Harvest Skid Mort Windthrow Crowding Effect parameter BA is the neighborhood basal area in sq m per ha within a radius set by the Post Harvest Skid Mort Crowding Effect Radius parameter T wis the Post Harvest Skid Mort Windthrow Harvest Rate Param parameter H is the number of timesteps since the last harvest in this tree s grid cell t is the number of years per timestep is the Post Harvest Skid Mort Windthrow Background Prob parameter Si pk m t os BA exp z H t i S is the annual postharvest risk of standing death Ps 1s the Post Harvest Skid Mort Snag Recruitment Basic Prob parameter x is the Post Harvest Skid Mort Snag Recruitment Skidding Effect parameter m is the harvest intensity from the tree s HarvInten data member from the HARP external harvesting program available for download from the SORTIE web site 9 is the Post Harvest Skid Mort Snag Recruitment Crowding Effect parameter BA is the neighborhood basal area in sq m per ha within a radius set by the Post Harvest Skid Mort Crowding Effect Radius parameter 7 is the Post Harvest Skid Mort Snag Recruitment Rate Param parameter H is the number of timesteps since the last harvest in this tree s grid cell t is the number
115. Soil The proportion of plot substrate that is scarified soil when the run starts as a value between 0 and 1 If a map of substrate values is included in the parameter file see Adding to a parameter file for information on how to do this then the map values will be used for the initial conditions and this number will be ignored Used by the Substrate and Detailed Substrate behaviors Initial Conditions Proportion of Tip Up Mounds The proportion of plot substrate that is tip up mounds substrate when the run starts as a value between 0 and 1 If a map of substrate values is included in the parameter file see Adding to a parameter file for information on how to do this then the map values will be used for the initial conditions and this number will be ignored Used by the Substrate and Detailed Substrate behaviors Initial Large Logs Mean Diameter cm For initial conditions the mean diameter of logs in the large size class in cm Used by the Detailed Substrate behavior Initial Small Logs Mean Diameter cm For initial conditions the mean diameter of logs in the small size class in cm Used by the Detailed Substrate behavior Maximum Number of Years that Decay Occurs The number of years that a substrate disturbance event has effect before it is deleted the lifetime of a substrate cohort Used by the Substrate and Detailed Substrate behaviors Partial Cut Large Logs Mean Diameter cm After a partial cut harves
116. The maximum rate of decline in the predator population in the absence of any food in predators per week for season 2 Used by the Functional response seed predation behavior e Func Resp Max Intake Rate seeds per predator per day The maximum number of seeds of each species that can be eaten by one predator in one day Used by the Functional response seed predation behavior e Func Resp Number of Weeks in Which Seedfall Occurs The number of weeks at the beginning of the behavior mini model run that seedfall occurs Used by the Functional response seed predation behavior e Func Resp Predator Initial Density num sq m The initial density of the predator population in numbers per m This will be used the first time this behavior is run Whether this density is used for subsequent behavior mini model runs depends on the value of the Keep Predator Densities Between Timesteps parameter Used by the Functional response seed predation behavior e Func Resp Proportion of Seeds Germinating Each Week During the period that germination occurs this is the fraction of the seed pool that is removed due to seed germination Expressed as a value between 0 and 1 Used by the Functional response seed predation behavior Func Resp Seed Predation Output Filename If Desired The filename where the mini model will store its intermediate results for later analysis if desired This value is not required Used by the Functional response
117. The slope in the linear biomass equation for branches Used by the Partitioned DBH Biomass behavior Partitioned DBH Biomass Branch Intercept b The intercept in the linear biomass equation for branches Used by the Partitioned DBH Biomass behavior Partitioned DBH Biomass Leaf Slope a The slope in the linear biomass equation for leaves Used by the Partitioned DBH Biomass behavior Partitioned DBH Biomass Leaf Intercept b The intercept in the linear biomass equation for leaves Used by the Partitioned DBH Biomass behavior Partitioned Palm Biomass Leaf Slope a The slope in the linear biomass equation for leaves Used by the Partitioned Palm Biomass behavior Partitioned Palm Biomass Leaf Intercept b The intercept in the linear biomass equation for leaves Used by the Partitioned Palm Biomass behavior Partitioned Palm Biomass Bole Slope a The slope in the linear biomass equation for boles Used by the Partitioned Palm Biomass behavior Partitioned Palm Biomass Bole Intercept b The intercept in the linear biomass equation for boles Used by the Partitioned Palm Biomass behavior Relative Neighborhood Density Maximum Distance m The maximum distance out to which to calculate Relative Neighborhood Density Index Q values Used by the Relative Neighborhood Density Calculator behavior Relative Neighborhood Density Distance Increment m The distance increments at which the Relative Neighborhood Density Index Q will
118. The upper bound of the fourth DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 4 Target Basal Area m2 ha The target basal area in square meters per hectare of the fourth cut range Used by the Selection harvest behavior Selection Harvest Initial Age The initial age Used by the Selection harvest behavior Standard Deviation lognormal or normal If the Storm Damage Application parameter is set to Stochastic and the Stochastic Pattern Damage Distribution is set to either Normal or Lognormal this is the standard deviation used when randomizing storm severity across the plot This parameter is ignored if the Storm Damage Application parameter is not set to Stochastic and the Stochastic Pattern Damage Distribution is not set to either Normal or Lognormal Used by the Storm disturbance behavior Stochastic Pattern Damage Distribution If the Storm Damage Application parameter is set to Stochastic this is the probability distribution function to use for randomizing storm severity across the plot This parameter is ignored if the Storm Damage Application parameter is not set to Stochastic Used by the Storm disturbance behavior Storm Damage Application How storm damage is applied to different locations across the plot If Deterministic the storm s severity is applied equally to all locations If Stochastic the storm s severity is randomized across the plot according to your chosen probabil
119. Thinning Mortality behavior Density Self Thinning Diameter Effect C The parameter controlling the effect of neighbor mean diameter of the density self thinning function Used by the Density Self Thinning Mortality behavior Density Self Thinning Minimum Density for Mortality ha The minimum density of neighbors in stems ha for density self thinning mortality A tree with a lower density of neighbors than this value will not die Used by the Density Self Thinning Mortality behavior Density Self Thinning Neighborhood Radius in m The maximum radius in m within which to search for neighbors to calculate neighbor density for density self thinning Used by the Density Self Thinning Mortality behavior Exponential Growth Resource a The mortality at zero growth scaled as a function of the resource Used by the Exponential Growth and Resource Based Mortality behavior Exponential Growth Resource b The light dependent mortality parameter Used by the Exponential Growth and Resource Based Mortality behavior Exponential Growth Resource c The resource dependent mortality parameter Used by the Exponential Growth and Resource Based Mortality behavior Exponential Growth Resource d Used by the Exponential Growth and Resource Based Mortality behavior Growth Resource Scaling Factor rho Scaling factor to reduce survival at the mode of the survival probability function Used by the Growth and Resource Based Mortality behavior Growth
120. This length of time is the maximum possible respite length and is set in the Years Respite from Fern Shading for Seeds on Fresh Logs parameter Substrate keeps track of the age of its fresh log cohorts so that it is possible to randomly assign the seedling to a fresh log of a specific age given the relative proportions of various aged fresh log cohorts The age of the log is subtracted from the maximum respite length and this value is assigned to the seedling Thus a log that fell this timestep would give a seedling the maximum respite whereas a much older log may not give any respite at all How to apply it Apply this behavior to seeds of your desired species Any species to which it is applied must also satisfy the following requirements e A disperse behavior must be applied e The Substrate behavior must be applied e The Beer s Law light filter behavior must be applied Behavior reference string Micro Establishment Last updated 16 Nov 2005 09 40 AM Planting behaviors Planting Planting directly creates new seedlings When you create a new planting you specify the timestep in which to plant the species to plant and the relative amount of each whether new seedling spacing is gridded or random how many seedlings to plant and how far apart if gridded and the area of the plot to plant You can create as many plantings as you like How it works Planting keeps track of planting events to perform in a private grid Each time
121. This window is where you create a new planned mortality episode or edit an existing one Along the left portion of the window you enter data about the planned mortality episode On the map in the center you select the area of the plot to which to apply your planned mortality episode If a tree map has been entered those trees are displayed on the map and the species key is to the right For more on tree maps and episodic events see the Edit Episodic Events Window topic In this document Entering data about the planned mortality episode Choosing the area to which to apply the planned mortality episode Entering data about the planned mortality episode Timestep Enter the timestep in which you wish the planned mortality episode to occur You can create more than one planned mortality episode per timestep Species applied to Put a checkbox next to each species to which this planned mortality episode is to apply If a species is not checked no trees of that species will be killed You can kill trees of the same species more than once in a timestep but if the areas of the two planned mortality episodes overlap there is no attempt to consolidate them and you may not get the results you expect Amount of mortality type Enter how you intend to specify the amount of trees to kill in each size class to which the planned mortality episode applies The same amount type applies to all size classes e 9 of density You intend to specify ki
122. Volume Calculations in cm parameter For merchantable volume set this to the minimum usable diameter For total volume set this to zero Trunks are divided into segments for volume calculations The length of these segments is set in the Trunk Segment Length for Volume Calculations in m parameter Setting this to a smaller value increases the accuracy of the calculations Setting this to a larger value increases the speed at which the calculations are made The total tree s volume is the sum of the volumes of each of the segments Any segments whose beginning or ending diameter is less than the value in the Minimum Trunk Diameter for Volume Calculations in cm parameter are not included in the volume total The volume of a tree trunk segment is found as follows V A Az2 2 1 where e A is the cross sectional area at the bottom of the trunk segment in square meters e Ap is the cross sectional area at the top of the trunk segment in square meters e Vis the volume of the trunk segment in cubic meters e listhe length of the trunk segment value in the Trunk Segment Length for Volume Calculations in m parameter The cross sectional area of a tree trunk at a particular point above the ground such as at the beginning or end of a trunk segment is calculated as A 7 n d 2Y where A is the cross sectional area in square meters and d is the diameter of the tree inside the bark at that height in meters To find the diamete
123. a member which is what is displayed to you when you choose new data members You cannot change the first six default columns The executable writes a file in response with the trees that it wishes to harvest Tree harvest file that the executable will write on the Edit Harvest Interface window If you have set up new tree data members the executable also writes a second file with a list of live trees to update Tree update file that the executable will write on the Edit Harvest Interface window All trees in both of these files must come from the tree list that SORTIE wrote for that timestep No tree may appear in both files The file format of the user response files is identical to that of the SORTIE file with the same columns in the same order Each harvest timestep all these files are overwritten If there are no trees eligible for harvesting SORTIE still writes a file with only the first two header lines no individual tree lines It expects the executable to do the same if it does not want trees harvested or updated Adding new variables You can request that SORTIE create new data members under the executable s control for the trees to which this behavior applies Set this up in the New tree data members to add section of the Edit Harvest Interface window You can create as many as you want You can give them any name up to 9 characters long They each hold a float value The values are uninitialized in newly created trees
124. a multiplicative factor in its growth rate If a tree is not suppressed the suppression factor in the growth equation is set to 1 no effect on growth If the tree is suppressed the suppression factor is calculated as follows SF e 6 YLR d YLS where e SF is the suppression factor e gis the Length of Current Release Factor parameter e YLR is the length of the last or current period of release in years e dis the Length of Last Suppression Factor parameter e YLS is the length of the last or current period of suppression in years Details of this model are published in Wright et al 2000 Absolute growth limited to radial increment diam with auto height How it works This behavior calculates an amount of diameter growth according to the absolute growth equation Growth is limited to a maximum of the constant radial increment for the species of tree to which it is being applied The increment is calculated as described in the Constant radial growth behavior Tree height is allowed to update automatically according to the allometry equations Note that the increment parameter specifies radial growth the behavior makes all necessary conversions How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string absradial Absolute growth limited to radial incre
125. a path your file may be hard to find Detailed output files end up with a gz tar extension Save everything This saves all possible data The resulting detailed output file will probably be quite large This option is handy when you are still tweaking your parameter file You can save everything run for a few timesteps and review the data using the data visualization tools This option is also a good one when you wish to have the complete state of the model at every timestep perhaps to use as input to new runs This option takes effect right away and cannot be canceled Clear everything Erases all detailed output settings This option takes effect right away and cannot be canceled Trees Sets options for saving trees by opening the Setup tree save options window The text just below this button will tell you if there are currently any tree save settings You are not required to save tree data Grid data layers Sets options for saving grids by opening the Setup grid save options window The text just below this button will tell you if there are currently any grid save settings You are not required to save grid data Set up subplots Sets up subplots for tree data by opening the Edit subplots window Subplots are regions within the plot as a whole that will have data saved separately You can find more information in the detailed output file topic You are not required to create subplots Last updated 18 May 2006 12 55 PM
126. a structure from the main grid to track Substrate cohorts Data in the grid Data member name Proportion of scarified soil Proportion of forest floor Proportion of tip up mounds Total Log Total Log Volume Prop Sp Group X Small Decay Y Prop Sp Group X Large Decay Y Vol Sp Group X Small Decay Y Vol Sp Group X Large Decay Y Packages Data member name Substrate cohort age Substrate cohort new scarified soil substrate Substrate cohort new tip up mounds substrate Description The proportion of the grid cell area that is scarified soil The proportion of the grid cell area that is forest floor The proportion of the grid cell area that is tip up mounds Total logs expressed as a proportion between 0 and 1 The sum of all log proportions Total log volume in m3 per ha The sum of all log volumes Species group X decay class Y small logs as a proportion between 0 and 1 Species group X decay class Y large logs as a proportion between 0 and 1 Species group X decay class Y small log volume in m3 per ha Species group X decay class Y large log volume in m3 per ha Description The age of the substrate cohort in timesteps The proportion of cell area that is scarified soil added in this cohort The proportion of cell area that is tip up mounds substrate added in this cohort Detailed Substrate calcs This grid is called detailedsubstratecalcs and is created by the Detailed Substrate behavior
127. ability of a snag that did not fall remaining in decay class 5 This value is always 1 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Maximum Snag Break Height Maximum height at which snags break The actual height is a random draw between this value and the minimum Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Minimum Snag Break Height Minimum height at which snags break The actual height is a random draw between this value and the maximum Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics This behavior controls transitions among snag decay classes and snag falls There are two fall models one that applies to trees that die in the current time step and may fall without become a snag and one that applies to pre existing snags Fall probability is a function of tree size decay class neighborhood basal area and recent harvest activity Trees and snags that do not fall are run through a snag decay class transition matrix Model forms are based on those in Vanderwel et al 2006 How it works Trees that died in the current timestep have a certain probability of falling before the end of the current timestep Note that trees that die in a mortality episode do NOT count as trees that died in the current timestep but as existing snags The behavior represents the probability of falling before the end of the timestep as JU Pr fall
128. actly what was specified since the Harvest behavior can t remove part of a tree to get the numbers right The behavior stores how much it actually cut each timestep in the Harvest Results grid To optimize the accuracy of the Harvest behavior use larger cut ranges and high proportions of the plot area to make sure there is a big pool of trees to choose from How to apply it To add harvesting to a SORTIE run use the Edit Episodic Events Window Behavior reference string harvest Episodic Mortality How it works The Episodic Mortality behavior allows you to replicate tree killing events with the same level of control you have when defining Harvest events A planned mortality episode can simulate disease an insect outbreak fire or the like The main difference between Harvest and Episodic Mortality is that the Episodic Mortality behavior can create snags or standing dead trees A large snag proportion can significantly affect the light and substrate dynamics of a SORTIE run Defining a mortality episode is like defining a partial cut harvest Mortality episodes have no automatic impact on substrate dynamics like harvest events do although the newly dead trees may be a source of harvest input You can define up to four size classes and specify the amount of trees to kill in one of four ways as a percentage of total basal area as an absolute amount of basal area as a percentage of total tree density or as an absolute amount of t
129. ages above e New Seedling Diameter at 10 cm The average diameter at 10 cm height value for newly created seedlings when another size is not specified Actual values are randomized slightly around this value e Seedling Height Class 1 Upper Bound in cm The upper bound of the first seedling height class in cm for specifying seedling initial densities not required The lower bound of the size class is 0 e Seedling Height Class 2 Upper Bound in cm The upper bound of the second seedling height class in cm for specifying seedling initial densities not required The lower bound of the size class is the Seedling Height Class 2 Upper Bound in cm parameter There is a third size class whose lower bound is this parameter s value and whose upper bound is 135 cm e Tree Map To Add As Text Tree maps can be added In addition to the values listed in the parameter window the tree population also keeps the list of species and size classes These can be edited in the Tree setup window Last updated 04 Oct 2007 11 35 AM Allometry In this document Allometry parameters The standard crown depth and radius relationships The Chapman Richards crown depth and radius relationships The non spatial density dependent crown depth and radius relationships The NCI crown depth and radius relationships DBH diameter at 10 cm relationship The standard diameter height relationships The linear diameter height relationship The reverse lin
130. am D 3 l density cr Pu where e Pmisthe probability of mortality for an individual tree e density is the density of neighboring seedlings and saplings in stems ha within a radius defined in the Density Self Thinning Neighborhood Radius in m parameter e diam mis the mean diameter of neighbors measured 10 cm above root collar in cm e Ais the Density Self Thinning Asymptote A parameter e Cis the Density Self Thinning Diameter Effect C parameter e Sis the Density Self Thinning Density Effect S parameter If the value of density is less than the value in the Density Self Thinning Minimum Density for Mortality ha parameter the tree does not die How to apply it This behavior can be applied to seedlings and saplings of any species It cannot be applied to adults This behavior can only be applied with a one year timestep Behavior reference string densityselfthinning Logistic bi level mortality This behavior calculates the probability of survival according to a logistic equation with the possibility of two sets of parameters for each species one for high light conditions and one for low light conditions This can also be used alone without the light levels How it works The equation used by this behavior to calculate survival probability is expla b D Us ltexp a t b Ln where e p annual probability of survival e a in high light conditions this is the Logistic Bi Level High Light a par
131. ameter in low light conditions this is the Logistic Bi Level Low Light a parameter e b inhigh light conditions this is the Logistic Bi Level High Light b parameter in low light conditions this is the Logistic Bi Level Low Light b parameter e D tree diam in cm diamjo for seedlings DBH for others If the timestep length is not one year the actual probability of survival for the timestep is calculated as p p where p is the annual probability of survival p is the timestep probability of survival and T is the number of years per timestep Once the survival probability for the timestep is known for a tree then a random number is compared to this probability to determine if the tree lives or dies Light levels come from the Storm Light grid produced by the Storm Light behavior The threshold between the use of high light and low light parameters is set in the Logistic Bi Level High Light Mortality Threshold 0 100 parameter This behavior can also be used without Storm Light In this case only the low light mortality parameters are used How to apply it This behavior can be applied to seedlings saplings and adults of any species If you wish to use the light level parameter switch also use the Storm Light behavior Behavior reference string Logistic Bi Level Mortality Stochastic bi level mortality This behavior applies a constant rate of mortality to trees with different rates for high light and low ligh
132. an be applied to seedlings saplings and adults of any species You must also use a light behavior If you wish to include the effects of herbivory also include the Random browse behavior in the run Behavior reference string Height GLI Weibull Mortality Post Harvest Skidding Mortality This mortality behavior simulates an increase in mortality after harvesting attributable to skidding damage or other effects The increase in mortality tapers off through time DBH and neighborhood basal area can also affect mortality in this behavior Model forms are based on those in Thorpe et al 200X Ecol Appl in press How it works If no harvest has occurred yet in this run the probability of dying in a timestep is Prob 1 1 Bj where e Prob is the probability of dying before the end of the timestep e fis the Post Harvest Skid Mort Pre Harvest Background Mort Rate parameter e tis the number of years per timestep If a harvest has occurred in the tree s cell during the run the probability of mortality is Prob 1 1 W S j l multiplying over years i 1 t number of years per timestep Wi p w DBH x m ny BA exp ty H t i where and where W is the annual post harvest risk of windthrow Pw is the Post Harvest Skid Mort Windthrow Harvest Basic Prob parameter dw is the Post Harvest Skid Mort Windthrow Size Effect parameter DBH is the tree s DBH in cm Ky is the Post Harvest
133. any of the growth behaviors that increment diameter growth e Light filter respite counter If count Created by the Beer s law light filter behavior It contains the years of respite for a new seedling from the effects of the light filter e Rooting height z The height in mm above ground level at which a seedling is rooted Created by the Beer s law light filter behavior e Years released ylr The length of the current release period in years Created by the absolute growth behaviors e Years suppressed yls The length of the current suppression period in years Created by the absolute growth behaviors e Dead flag dead An integer flag for whether a tree has died 0 not dead Created by any of the mortality behaviors This is used by the dead tree remover behavior to find the trees it should remove e Storm Damage Value stm dmg An integer value with the damage level of a storm and how long it has been damaged A value of 0 means no damage a value starting with 1 means medium damage a value starting with 2 means complete damage The digits at the end count how many years since the damaging event For example a value of 1005 is a tree that received medium damage 5 years ago Created by the Storm damage applier behavior e Tree Bole Volume Bole Vol The volume of a tree in cubic feet Created by the Tree bole volume calculator behavior e Tree Volume Volume Volume of the tree in cubic meters Created by the Tree
134. ar Sky Transmission Coefficient parameter e mis the optical mass of the atmosphere e Qis the zenith angle of the sun Eccentricity is calculated by Eo 1 000110 0 034221 cos I 0 001280 sin I 0 000719 cos 2I 0 000077 sin 20 where is the day angle equation above Optical mass of the atmosphere is calculated by m sec 0 where is the zenith angle of the sun SORTIE uses a numerical approximation method instead of the sec to correct at low altitudes This process is repeated for each day in the growing season The growing season starts with the First Day of Growing Season parameter and ends with the Last Day of Growing Season parameter Snags in light calculations Snags are standing dead trees more in the trees topic They can block light like live trees do For SORTIE purposes snag crowns are frozen in the shape they had when the tree died but they transmit more and more light as they lose branches SORTIE tracks a snag s age in order to replicate this decay You define three snag age classes and a light transmission coefficient for each For as long as a snag stands it will block the light of neighboring trees but to a lesser degree through time You don t have to include snags in light calculations If you do not have any behaviors in your run that either create snags or directly work with them then your run is classified as snag unaware and snags will not be created In this case the snag parameters are not
135. arbon and the value of that carbon for each species This grid has one cell for the whole plot It will ignore any changes you make to the resolution If this grid s data is saved in a detailed output file you can view the contents of this grid as a table using SORTIE s data visualization system Data in the grid Data member name Description Mg of Carbon for Species X The amount of carbon in the plot for Species X in metric tons Carbon Value for Species X The value of the carbon for Species X Competition Harvest Results This grid is created by the Competition Harvest behavior This is where data on competition harvest results is stored The data is stored raw no conversion to per hectare amounts The default grid cell resolution is set to one grid cell for the entire plot You can set whatever new resolution you wish Data in the grid Data member name Description Cut Density species x Number of trees cut in the current timestep for the given species Cut Basal Area species x Total basal area cut in the current timestep for the given species DetailedSubstrate This grid is created by the Detailed Substrate behavior The grid holds the relative proportions of the various substrate types If the Harvest behavior is present for the run then this grid s resolution must match the Harvest Results grid Otherwise it defaults to a cell resolution of 8 m X 8 m which you can change This grid holds packages with a different dat
136. ata in the grid Data member name Description GLI GLI value as a percentage of full sun between 0 and 100 Harvest Results This grid is created by the Harvest behavior This is where data on harvest results is stored The data is stored raw no conversion to per hectare amounts The grid cell resolution is set to 8 m X 8 m You cannot change the grid cell resolution for this grid Data in the grid Data member name Description Type of harvest that occurred in the current timestep or 1 if Harvest Type none has occurred Cut Density species x cut Number of trees cut in the current timestep for the given range y species and cut range Cut Basal Area species x cut Total basal area cut in the current timestep for the given species range y and cut range Merchantable Timber Value This grid is created by the Merchantable Timber Value behavior It holds the merchantable timber value for each species This grid has one cell for the whole plot It will ignore any changes you make to the resolution If this grid s data is saved in a detailed output file you can view the contents of this grid as a table using SORTIE s data visualization system Data in the grid Data member name Description Value for Species X The merchantable timber value for Species X Mortality Episode Results This grid is created by the Episodic Mortality behavior This is where data on planned mortality episode results is stored The data is stored raw no
137. ate behavior that primarily incorporates greater detail in tracking log cover In Detailed Substrate the pool for logs is divided into up to 3 species groups 2 size classes and 5 decay classes whereas the Substrate behavior has 1 species size class and 2 decay classes for logs Also unlike Substrate Detailed Substrate is designed to work with snag dynamics behaviors that assign data members representing fall or break heights of trees and snags This way the processes of tree and snag breakage and fall are separated from their input into the log substrate pool There is also a change from Substrate to the way harvesting adds new substrate and values for log volume are calculated in addition to projected area cover Like Substrate Detailed Substrate keeps track of the relative cover of forest floor litter moss scarified soil tip up mounds and logs each timestep Unless explained otherwise the manner in which Detailed Substrate calculates and tracks these components is the same as for the Substrate behavior Detailed Substrate divides logs into species groups size classes and decay classes Logs in each combination of species group size class and decay class can have different initial proportions proportions after harvest and decay parameters from all other types of logs Each species to which this behavior is assigned belongs to one species group assigned with the Species Group parameter As saplings adults and snags enter the
138. avior to get the effects you wish to achieve How do I start working with SORTIE First you may want to familiarize yourself with the various parts of the simulation engine Read about trees behaviors and grids a kind of data structure Read a little about how a run progresses Then you should read about parameter files which is the way that you input your settings into SORTIE Once you ve done that you are ready to start building a parameter file To create a file from scratch read the topic creating a parameter file from scratch Once you have a parameter file you can read about advanced additions to it in the topic adding to a parameter file Once you have a parameter file you simply load it using the File menu then choose Model gt Run That s all there is to it Wait for the simulation to end then look at your output files using the model s data visualization capabilities Getting started users of previous versions of SORTIE If you have used SORTIE before you re in luck You can probably start doing runs right away The early versions of SORTIE ND were designed to be backwards compatible your old files should load and run Newer versions of SORTIE ND can then use the files created by the earlier versions Before you do arun you may want to familiarize yourself with what s new First read about behaviors They replace submodels When before you might choose the BC juvenile growth submodel for instance now y
139. ay Used by the Substrate behavior cy teh Decayed Log Annual Decay Beta The f exponent in the decay equation as applied to decayed logs Note that this is annual decay Used by the Substrate behavior _ oth Fresh Log Annual Decay Alpha The a exponent in the decay equation as applied to fresh logs Note that this is annual decay Used by the Substrate behavior cote Fresh Log Annual Decay Beta The f exponent in the decay equation as applied to fresh logs Note that this is annual decay Used by the Substrate behavior Gap Cut Small Logs Mean Diameter cm After a gap cut harvest the mean diameter of logs in the small size class in cm This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Gap Cut Large Logs Mean Diameter cm After a gap cut harvest the mean diameter of logs in the large size class in cm This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Gap Cut Proportion of Decayed Logs The proportion of substrate that is decayed logs in areas that had a gap cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate behavior Gap Cut Proportion of Fresh Logs The proportion of substrate that is fresh logs in areas that had a gap cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Sub
140. be calculated Smaller increments mean a smoother curve but also more processing time Used by the Relative Neighborhood Density Calculator behavior Ripley s K Maximum Distance m The maximum distance out to which to calculate K values Used by the Ripley s K Calculator behavior e Ripley s K Distance Increment m The distance increments at which K will be calculated Smaller increments mean a smoother curve but also more processing time Used by the Ripley s K Calculator behavior e Taper Equation Initial Multiplier a0 The ap parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation DBH Exponent a1 The a parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation Height Exponent a2 The a parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation X Exponent 1 b1 The b parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation X Exponent 2 b2 The b parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation X Exponent 3 b3 The b parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation X Exponent 4 b4 The b parameter in the taper equation below Used by the Tree Volume Calculator behavior e Taper Equation X Exponent 5 b5 The bs parameter in the taper equatio
141. behavior e dis the Storm DBH Coefficient d parameter for that tree s species This behavior uses a random number to determine what damage category a tree falls in If the random number is less than the probability for medium damage the tree is undamaged If the random number is greater than the probability for medium damage but less than the probability for heavy damage the tree gets medium damage If the random number is greater than the probability for heavy damage the tree gets heavy damage If a tree is damaged a counter is set for time since damage This behavior checks this counter every timestep When the amount of time specified in the Number of Years Damaged Trees Take to Heal has passed the tree is considered healed and no longer has a record of storm damage If a damaged tree is damaged again in a new storm it gets the most severe damage category that can apply to it and must go through the maximum healing time again in order to become undamaged How to apply it Apply this behavior to the trees that can receive storm damage You may not apply this behavior to seedlings If you wish to use the Storm damage killer behavior to create snags from storm killed trees you must apply this behavior to the snag tree type Along with this behavior you must also add the Storm disturbance behavior Behavior reference string storm damage applier Storm damage killer This behavior kills trees damaged in storms It decides which damag
142. ber is compared to that species s Adult Background Mortality Rate parameter to determine if it falls in the pool of trees that die How to apply it This behavior can be applied to seedlings saplings and adults of any species Behavior reference string adultstochasticmort Aggregated Mortality Aggregated Mortality is similar to the Adult Stochastic Mortality behavior in that it kills trees randomly to match a predetermined mortality rate However Aggregated Mortality clumps together the deaths in both time and space How it works Mortality occurs in discrete episodes which have an average return interval For any timestep the probability that a mortality episode will occur is T RI where T is the number of years per timestep and RI is the Aggregated Mortality Return Interval years parameter Each timestep this behavior uses a random number to decide if a mortality episode occurs Between mortality episodes this behavior does not kill any trees If a mortality episode occurs this behavior kills some of the total pool of trees to which it has been applied The base annual mortality rate proportion is given in the Aggregated Mortality Annual Kill Amount 0 1 parameter Since the parameter gives an annual rate the actual mortality rate is 7 AD J where AD is the annual amount to kill and T is the number of years per timestep During a mortality episode this behavior kills the trees in discrete clumps The behavior uses a rand
143. bin size or number of bins the visualizer will preserve your changes Tree map A tree map is available when you have saved the X Y and DBHs of trees in a detailed output file The tree map does not display seedlings The size of the tree circles corresponds to the size of its DBH NOT its crown radius The color matches the species in the legend The sizes of the circles relative to each other accurately reflect the different DBH values but their absolute size is meaningless If a tree is quite small it may not show up on the map You can change the minimum DBH to make sure that all the trees that you are interested in are displayed If your trees do not show up well you can change the circle sizes To do this enter a new value for the DBH Scale Factor and click the Update Map button Larger values make the tree circles bigger smaller values make them smaller Clicking and dragging on the tree map zooms in Once you have zoomed you can restore the original scale by clicking the button marked Restore Original View If you are zoomed you can scroll around the map in each of the four directions by clicking the arrow buttons surrounding the map Grid maps Maps are available for almost any kind of grid value The values are shown in grayscale Maps of boolean values true false will be displayed as black false and white true any other kind of numerical value allows you to adjust the grayscale for best viewing with the controls t
144. biomass in metric tons for each species is saved in a grid called Partitioned Biomass You can save these values in a detailed output file for analysis You of course can skip any of the components by entering O s for their parameter values How to apply it Apply this behavior to saplings adults or snags of any species This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup window will list the Partitioned Biomass grid You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Partitioned DBH Biomass Partitioned Palm Biomass This behavior calculates biomass as a linear function of tree height partitioned into leaf and bole biomass How it works The biomass of leaves and boles is calculated using the same equation but using different parameters The equation is Bio a Height b where e Bio biomass in kg dry weight of either leaves branches or the bole e ai either the Partitioned Palm Biomass Leaf Slope a or Partitioned Palm Biomass Bole Slope a parameters e bj either the Partitioned Palm Biomass Leaf Intercept b or Partitioned Palm Biomass Bole Intercept b parameters e Height tree s height in meters The amount of each type of biomass in metric tons for each species is saved in a grid called Partitioned Biomass You can save these values in a detailed
145. ble on the Edit Harvest Interface window Each harvest timestep SORTIE writes a text file with a list of trees eligible for harvest The trees in the list are those to which the Harvest Interface behavior is applied You choose which trees those are in Behavior currently assigned to on the Edit Harvest Interface window Once the file is written SORTIE then launches your executable Your executable writes a file in response with the list of trees it wishes SORTIE to kill Trees that are cut are treated exactly like those in SORTIE harvest That is they disappear completely and do not become snags See the documentation on Harvest for more details The cut details for each timestep are written to the Harvest Results grid Warning if you put both the Harvest and Harvest Interface behavior in the same run they will overwrite each other s results in the grid Because the process can be slow you can set harvests to occur less often than every timestep To do this use How often to harvest in years on the Edit Harvest Interface window Optionally you can also add new tree data members that are controlled by the executable The executable can write a file with a list of trees to update and the new values for those variables for each tree File formats Each harvesting timestep SORTIE begins by writing a file of all trees eligible for harvest You give SORTIE the path and name of that file in Tree file that SORTIE will write on the E
146. bor DBH cm The minimum DBH of trees to be included when calculating the basal area composition of the neighborhood Used by the Neighborhood seed predation behavior Neighborhood Predation Neighbor Search Radius m The radius to search for trees when calculating the basal area composition of the neighborhood Used by the Neighborhood seed predation behavior Neighborhood Predation Non Masting p0 The po term in the seed offtake equation under non masting conditions Used by the Neighborhood seed predation behavior e Neighborhood Predation Species i Non Masting pn The p term for species i in the seed offtake equation under non masting conditions Used by the Neighborhood seed predation behavior e Lnk Neighborhood Predation pO The pO term in the seed offtake equation when in linked mode Used by the Neighborhood seed predation behavior linked behavior e Lnk Neighborhood Predation Species i pn The p term for species i in the seed offtake equation when in linked mode Used by the Neighborhood seed predation behavior linked behavior e Lnk Neighborhood Predation Minimum Neighbor DBH cm The minimum DBH of trees to be included when calculating the basal area composition of the neighborhood when in linked mode Used by the Neighborhood seed predation behavior linked behavior e Lnk Neighborhood Predation Neighbor Search Radius m The radius to search for trees when calculat
147. borhood Seed Predation This grid stores the pre predation seed rain and amount of seeds eaten for each cell in the Dispersed Seeds grid This grid has no effect on calculations but can be saved in the output file for review Behavior reference string Linked Neighborhood Seed Predation 17 Oct 2008 12 50 PM Establishment behaviors In this document Establishment parameters Substrate Dependent Seed Survival No Gap Status Substrate Dependent Seed Survival With Gap Status Substrate Based Seed Survival With Microtopography Light Dependent Seed Survival Storm Light Dependent Seed Survival Density Dependent Seed Survival Proportional Seed Survival Seed Establishment Establishment with Microtopography Establishment behaviors assess seed survival and create new seedlings from seeds Establishment behaviors do not create or distribute the seeds The Disperse behaviors perform that function The seed survival behaviors act to reduce the number of seeds based on various environmental effects They can be used alone or in combination Once they have completed their work the number of surviving seeds can be turned into seedlings by either the Seed Establishment or Establishment with Microtopography behaviors Kstablishment parameters Beam Fraction of Global Radiation The fraction of total solar radiation that is direct beam radiation as opposed to diffuse Expressed as a value between 0 and 1 See Light Behavior
148. bs BA e Snag tree relative density Snag Rel Den e Snag tree absolute density Snag Abs Den Basal area is in square meters per hectare and density is in numbers per hectare Relative values are in proportions Each data type is calculated separately for each species and absolute data types also include a total across species For a definition of the different tree types see the Trees topic You can define areas within the plot to track separately These are called subplots These subplots do not have to be continuous and you can define more than one In order to define subplots use the Edit Subplot window The output options you choose for the main window will apply to the subplots too You cannot define separate options for them Output files are saved as tab delimited text files with a out extension You can open them in almost any spreadsheet or word processing program There is a column for each species for each data type Each timestep is one row If you have defined subplots there is a row for each subplot for each timestep You can view graphs of summary output files using SORTIE s data visualization functions Last updated 17 Dec 2004 01 49 PM Detailed output map files In this document What are maps Maps as output Maps as input Creating your own map analyses What are maps Maps are files listing individual values for trees and grids Tree maps list individual trees and their attributes X and Y coor
149. bstrate group have specific interest in dead trees Dead trees are eventually removed from memory by the Dead tree remover behavior It is important to include this behavior in your run to avoid incorrect results in behaviors that use dead trees and unacceptably slow model run times Mortality parameters e Adult Background Mortality Rate The proportion of trees that die each year as a value between 0 and 1 Used by the Adult stochastic mortality behavior e Adult Self Thinning Intercept Intercept of the adult self thinning linear function Used by the Adult self thinning behavior e Adult Self Thinning Slope Slope of the adult self thinning linear function Used by the Adult self thinning behavior e Competition Mortality Maximum Parameter max The maximum relative increment of growth subject to mortality Used by the Competition Mortality behavior e Aggregated Mortality Annual Kill Amount 0 1 The annual mortality rate for a mortality episode as a proportion between 0 and 1 Used by the Aggregated Mortality behavior e Aggregated Mortality Clump Size Whether the size of a clump of trees to kill is deterministic or chosen from a negative binomial probability distribution Used by the Aggregated Mortality behavior e Aggregated Mortality Clumping Parameter If the size of tree clumps to kill is drawn from a negative binomial probability distribution this is the clumping parameter for the distribution This is not required if a deterministic
150. by the Dimension Analysis behavior Dimension Analysis DBH Units The units of DBH that are appropriate to the biomass equation coefficients being entered SORTIE ND will convert a tree s DBH to these units before calculating biomass Used by the Dimension Analysis behavior Dimension Analysis Equation ID The biomass equation ID to use when calculating biomass for a particular species Used by the Dimension Analysis behavior Dimension Analysis Parameter a The value for a in a biomass equation The appropriate value and units for this parameter depend on the values entered in the Dimension Analysis Equation ID Dimension Analysis DBH Units and Dimension Analysis Biomass Units parameters Used by the Dimension Analysis behavior Dimension Analysis Parameter b The value for b in a biomass equation The appropriate value and units for this parameter depend on the values entered in the Dimension Analysis Equation ID Dimension Analysis DBH Units and Dimension Analysis Biomass Units parameters Used by the Dimension Analysis behavior Dimension Analysis Parameter c The value for c in a biomass equation Whether this parameter is used and the appropriate value and units for this parameter depend on the values entered in the Dimension Analysis Equation ID Dimension Analysis DBH Units and Dimension Analysis Biomass Units parameters Used by the Dimension Analysis behavior Dimension Analysis Parameter d The value for d in a biomass equation Whethe
151. calculated can be found in the Allometry topic In addition a tree may carry data added to it by Behaviors to help simulate different processes Tree life history stages Tree life history stage also referred to as tree type along with species is the basic way to classify trees When you set up behaviors for a run you tell each behavior which trees to act on by species and type There is support for seven tree life history stages in the model e Seed The seed life history stage is currently not used by any behavior but is available if there is a need to model seeds as individuals e Seedling Seedlings are defined as trees less than the height set in the parameter Max Seedling Height meters normally 1 35 meters thus seedlings have no DBH Their primary size measurement is the diameter at 10 cm height e Sapling Saplings are defined as having a DBH greater than 0 and less than the Minimum adult DBH defined in the tree parameters Seedlings and saplings are sometimes referred to collectively as juveniles e Adult Adults are defined as having a DBH equal to or greater than the Minimum adult DBH defined in the tree parameters e Stump Stumps are saplings or adults that have been cut by the Harvest behavior Stumps exist only for the timestep in which they were created and then disappear e Snag Snags are standing dead trees They can be produced when saplings and adults die due to normal tree mortality or a disturbance event suc
152. calculates the amount of carbon per species and its value How it works This behavior relies on the Dimension Analysis behavior to calculate each tree s biomass in metric tons It then multiplies this value by the Carbon Value Carbon Amount of Biomass 0 100 parameter to find each tree s amount of carbon in metric tons This behavior finds the total amount of carbon in each species and then multiplies it by the Carbon Value Price Per Metric Ton Carbon to find each species carbon value Both the amount of carbon in metric tons for each species and the value of that carbon are saved in a grid called Carbon Value You can save these values in a detailed output file for analysis How to apply it Apply this behavior to saplings adults or snags of any species These trees must also use the Dimension Analysis behavior This behavior does not automatically create output Once you have added this behavior to your run the Detailed output setup window for trees will have a tree data member called Mg Carbon which has each tree s amount of carbon in metric tons Also the Detailed output grid setup window will list the Carbon Value grid You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Carbon Value Calculator Dimension Analysis This behavior calculates the biomass of trees based on DBH This approach comes from Jenkins et al 2004 How it works
153. cally view the output of a run You can open either short output files or detailed output files this way Exit Quit SORTIE Last updated 15 Nov 2006 06 53 AM Batch file setup window This window is reached from the menu option File gt New batch file in the main SORTIE ND window or by opening a batch file using File gt Open file It allows you to set up a new batch file For more information on batch runs see the batch runs topic Batch files define a set of runs that you want SORTIE ND to do at one time The batch file can list multiple different parameter files and can run each file more than once Working with a batch file does not in any way affect any parameter files you may also be working on You can work with batch files without having a parameter file loaded However all the parameter files you want to include in your batch file should be complete before you begin Batch file name This is the path and file name of the batch file you are working with Add a new parameter file This section adds a new parameter file to the batch Parameter file name The path and file name to the parameter file s to add You should make this a fully qualified name i e C my files parameter file 1 xml rather than parameter file 1 xml Using the Browse button causes this to happen automatically This ensures that the model will be able to find the file when it comes time to run the batch Of course it also means that you shoul
154. can combine these methods of defining tree initial conditions or use any one alone Grid setup You can manipulate the settings for grids to further optimize your run For many grids you can set the sizes of the grid cells using the Grid setup window When you have a group of related behaviors sharing a group of related grids you can assign them the same grid cell size or even multiples of a size to ensure efficient data transfer between them with fewer approximations You can also add grid maps to set the initial conditions for some grids using the File gt Open file command For more on entering the maps from a detailed output file the most likely source see the detailed output file topic You can also use the Grid layer setup window to directly edit the values of grid maps Replicating a point in another run You can replicate a point in another run in your parameter file in order to have it as the starting point in a new run You might do this to create a branch point where you determine what might have happened if the parameters in the first run had been a little different or perhaps you did a run solely to create mature forest initial conditions for a new run The first run should have saved a detailed output file with as much data as possible The new parameter file should be compatible with the first it should have a common species set and most of the same behaviors You can then load the data from any timestep of the previous
155. ce mortality In practice trees below the onset of senescence DBH very rarely die The probability of death rises with DBH until the DBH of maximum senescence rate is reached at which point it levels off To assess whether a tree will die due to senescence the following function is evaluated a B DBH DEH y m TET 5 a SC DBH DEH Y l e where e my is the probability of mortality e Senescence Mortality Alpha parameter and P Senescence Mortality Beta parameter control the magnitude of the uptick e DBH is the tree s DBH in cm e DBH is the DBH at Onset of Senescence in cm parameter The probability is compared to a random number to determine whether the individual tree will die How to apply it Senescence may be applied to saplings and adults of any species It cannot be applied to seedlings Behavior reference string senescence Weibull snag mortality behavior This behavior controls snag fall Snags are standing dead trees Obviously they can t die again so the word mortality is a bit of a misnomer We call the behavior a mortality behavior because it functionally fits in this behavior class Snags that are killed by this behavior are considered to have fallen over If Substrate behaviors are enabled then these fallen trees are available to become new fresh log substrate Any that are not picked up by substrate will be dealt with by the Dead tree remover behavior How it works The behav
156. ch specifies the increase in survival caused by amount of growth e ois the Growth Resource Low Growth Survival Parameter sigma parameter which affects the shape of the survival probability distribution in low growth conditions The amount of the second resource is captured in a grid object called Resource Currently it is up to you to enter a map of the values for this resource grid for instructions on how to do this see the Grid Setup Window topic This behavior does not in any way alter the values in this grid The survival probability as calculated above is an annual probability For multi year timesteps the timestep probability is AP where AP is the annual probability and X is the number of years per timestep Once a tree s timestep survival probability has been calculated it is compared to a random number to determine whether the tree lives or dies How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a growth behavior applied You must also enter a map of second resource values into the Resource grid Behavior reference string Growth resource mortality Juvenile self thinning Self thinning is a behavior that uses a pseudo density dependent function designed to increase the death rate in dense uniform age stands Unlike adult self thinning there is no upper DBH limit applied There is nothing in this behavior w
157. ch as logs and tip up mounds to persist after a harvest event In addition to tracking log area Detailed Substrate also stores the volume of each type of log substrate in each grid cell For new inputs log volume is calculated as LV 1 3 x DBH 2 h where e LV is new log volume in m e DBH is the DBH of the fallen tree in m e his the height of the fallen tree in m For initial volume and volume added after harvest LV 1 3 n 100 PLA MDBH 2 where e LV is initial log volume or volume added after harvest in m ha e PLA is the proportional log area in the grid cell from 0 to 1 e MDBH is the mean DBH of logs of that type either initial or added by harvest These are set with parameters A reasonable default is values of 0 5 and 1 5 of the diameter boundary are used for small and large size classes respectively Log volume differs from log area proportions in that it does not have an upper bound Each time new substrate is added existing log substrate proportions are reduced so that the total of all substrate proportions is still less than or equal to 1 However new inputs from tree fall and breakage do not reduce existing log volume that is logs can be on top of each other and still contribute to volume but not area The volume of logs is reduced after harvesting when scarified soil is added that is log volume is destroyed in the area that is scarified Log volume also decreases as pieces decay from
158. ch parameters to display Editing values Saving the values to a file for review Error messages when you click OK Choose which parameters to display This is a small window that appears before the main window to allow you to choose what you want to see displayed There may not be parameters for all choices that you see on the list Choose any subset of parameters to display or choose All to see everything Editing values The main parameter display window shows you your chosen parameter groups Only those parameters that are applicable to the behaviors that are currently active in the run are shown To edit a value double click its cell You can copy and paste back and forth from Excel and within the parameter window itself You can use the menu commands on the parameter window Edit gt Copy and Edit gt Paste or the keyboard shortcuts Ctrl C for copy and Ctrl V for paste Saving the values to a file for review You can save the parameter window you are currently viewing as a tab delimited text file for your own reference Choose File gt Save window as file You can then open the file you have saved in any spreadsheet or text editor program The file that you save cannot be used as input to SORTIE Error messages when you click OK When you click OK in the parameter window the data in the window is checked to make sure it is complete and valid If there is a problem you are given an error message and the opportunity t
159. ch size class you want to cut The same cut amount type applies to all size classes e of density You intend to specify cut amounts as a percentage of total density to remove from 0 to 100 The trees removed will be randomly distributed between the minimum and maximum diameters in the size class For small tree populations the amount actually removed may not be exactly what was entered e Amt density ha You intend to specify cut amounts as a number of trees per hectare to remove SORTIE will calculate the actual number of trees to remove by multiplying this number by the area to which the harvest is applied The trees are removed in size order starting with the tallest in the size class until the target number has been reached or there are no more trees in that size class e of basal area You intend to specify cut amounts as a percentage of total basal area to remove from 0 to 100 SORTIE will add up the basal area in the size class in the cut area and take the percentage in order to figure out how much to cut SORTIE will work its way down the trees in the cut area in size order removing each one that brings the amount of basal area removed closer to the target amount without going over If the size class range and the cut area are both large the amount of basal area removed is likely to be very close to the target e Amt basal area m ha You intend to specify cut amounts as an amount of basal area to remove in square meters pe
160. ch timestep the age of all logs is rounded to the nearest multiple of the timestep duration This is necessary to keep memory requirements manageable Log substrate is created by the processes of tree fall and breakage along the bole relationship 6 Detailed Substrate looks at flags set by mortality and snag dynamics behaviors to determine whether a sapling adult tree or snag has either fallen or broken to a certain height in the current timestep If so it adds the appropriate area to the log substrate pool Like in Substrate tree boles are modeled as cones The projected horizontal area is therefore a triangle if the top of the tree is included or a trapezoid if only considering the lower section of a tree New log substrate does not need to enter in decay class 1 the Prop Live Trees Entering Decay Class X 0 1 and Prop Snags Entering Decay Class X 0 1 parameters determine the probability of entering the substrate pool in each of the 5 decay classes for both snags and dead saplings adults Detailed Substrate allows new substrate proportions to be specified following clear cut gap and partial harvesting If the total proportion of substrate after harvesting specified by parameters is less than 1 the remainder will be distributed in proportion to pre harvest substrate values In comparison remaining substrate after harvest is assigned to moss and litter pools in the Substrate behavior This change is designed to allow legacy substrates su
161. cid detergent lignin Used by the Foliar Chemistry behavior Foliar Chemistry N Concentration The proportion of foliar dry weight 0 1 that is N Used by the Foliar Chemistry behavior Foliar Chemistry P Concentration The proportion of foliar dry weight 0 1 that is P Used by the Foliar Chemistry behavior Foliar Chemistry Phenolics Concentration The proportion of foliar dry weight 0 1 that is phenolics Used by the Foliar Chemistry behavior Foliar Chemistry SLA Concentration The proportion of foliar dry weight 0 1 that is specific leaf area Used by the Foliar Chemistry behavior Foliar Chemistry Tannins Concentration The proportion of foliar dry weight 0 1 that is tannins Used by the Foliar Chemistry behavior Merchantable Timber Value Form Class The form class of the species Valid values are 78 79 80 81 84 and 85 Used by the Merchantable Timber Value behavior behavior Merchantable Timber Value Price 1000 Board Feet The price per thousand board feet for each species The currency used doesn t matter Used by the Merchantable Timber Value behavior behavior Partitioned DBH Biomass Bole Slope a The slope in the linear biomass equation for boles Used by the Partitioned DBH Biomass behavior Partitioned DBH Biomass Bole Intercept b The intercept in the linear biomass equation for boles Used by the Partitioned DBH Biomass behavior Partitioned DBH Biomass Branch Slope a
162. conversion to per hectare amounts The grid cell resolution is set to 8 m X 8 m You cannot change the grid cell resolution for this grid Data in the grid Data member name Description Cut Density species x cut Number of trees killed in the current timestep for the given range y species and cut range Cut Basal Area species x cut Total basal area killed in the current timestep for the given range y species and cut range Neighborhood Seed Predation This grid is created by the Neighborhood Seed Predation and Neighborhood Seed Predation linked behaviors This grid stores the seed rain before predation and the amount of seeds eaten The grid resolution must match the Dispersed Seeds grid All data is stored raw no conversion to per hectare amounts Data in the grid Data member Description name Pre predation Number of seeds of species x in the grid cell before predation Note that if a seeds for species species is not subject to seed predation its value may show up here as zero X despite having seeds present Its seeds are not missing just ignored Proportion seeds eaten for species Xx Proportion of the seeds of species x eaten this timestep as a value between 0 and 1 Partitioned Biomass This grid is created by the Partitioned DBH Biomass and Partitioned Palm Biomass behaviors This is where the amount of biomass is stored partitioned into leaf bole and branch if applicable biomass All data i
163. copies of this license document but changing it is not allowed Preamble The licenses for most software are designed to take away your freedom to share and change it By contrast the GNU General Public License is intended to guarantee your freedom to share and change free software to make sure the software is free for all its users This General Public License applies to most of the Free Software Foundation s software and to any other program whose authors commit to using it Some other Free Software Foundation software is covered by the GNU Library General Public License instead You can apply it to your programs too When we speak of free software we are referring to freedom not price Our General Public Licenses are designed to make sure that you have the freedom to distribute copies of free software and charge for this service if you wish that you receive source code or can get it if you want it that you can change the software or use pieces of it in new free programs and that you know you can do these things To protect your rights we need to make restrictions that forbid anyone to deny you these rights or to ask you to surrender the rights These restrictions translate to certain responsibilities for you if you distribute copies of the software or if you modify it For example if you distribute copies of such a program whether gratis or for a fee you must give the recipients all the rights that you have You must make sure t
164. d be executed after mortality and dead tree remover behaviors have been applied in each timestep Behavior reference string snag decay class dynamics Last updated 16 Nov 2007 12 48 PM Disperse behaviors In this document Seed randomization Disperse parameters Non spatial disperse behavior Masting non spatial disperse behavior Spatial disperse behaviors Non gap spatial disperse behavior Gap spatial disperse behavior Masting spatial disperse behavior Disperse behaviors create and distribute tree seeds around the plot Dispersal is the first step in seedling recruitment Seed totals for different species are stored in the Dispersed Seeds grid You can change this grid s cell resolution Each of the disperse behaviors adds seeds to this grid The Establishment behaviors decide which seeds in the grid turn into new seedlings For these behaviors parent trees refers to trees over the minimum reproductive DBH for a species These are the only trees which can contribute new seeds to the plot While there is support in the model for seeds to act as individuals see Trees these seeds are not individuals but merely numbers in a grid You could not for instance create a list of individual seed positions Seed randomization The numbers of seeds added by the disperse behaviors can be randomized You choose how randomization will be applied If the seed distribution is deterministic no randomization is done
165. d by the Basal Area Light behavior e Basal Area Light Minimum DBH for Trees The minimum DBH in cm of trees that count towards basal area Used by the Basal Area Light behavior e Basal Area Light Search Radius for Neighbors m The radius in meters of the circle that is searched for neighbors Used by the Basal Area Light behavior e Basal Area Light Species Type Whether each species is a conifer or an angiosperm for the purposes of light calculations Used by the Basal Area Light behavior e Beam Fraction of Global Radiation The fraction of total solar radiation that is direct beam radiation as opposed to diffuse Expressed as a value between 0 and 1 Used by all behaviors making GLI or Sail Light calculations See equations above for more on how this is used e Calculated Crown Depth When the shape of a tree s shading neighbors is assessed to see how much light each blocks their crowns can either conform to each neighbor s true crown height or they can be approximated at the full height of the tree Used only by the Sail light behavior e Clear Sky Transmission Coefficient Used to determine the amount of solar radiation seen at the plot location Applies to all behaviors making GLI or Sail Light calculations See equations above for more on how this is used e Constant GLI Constant GLI Value 0 100 The GLI value assigned to all trees Used by the Constant GLI behavior behavior e First Day of Growing Season The first day of the
166. d cell and a radius given in the Basal Area Light Search Radius for Neighbors m parameter Whether a neighborhood tree counts as angiosperm or conifer depends on what its species is set to in the Basal Area Light Species Type parameter Seedlings and snags are never included in these basal area totals Other trees are only included if their DBH is equal to or greater than the value set in the Basal Area Light Minimum DBH for Trees parameter Once the basal areas are calculated the behavior adds them together to create a total basal area and compares this value to the previous timestep s total basal area If the value has not changed by more than the amount set in the Basal Area Light Minimum BA Change for New GLI m2 parameter no further action is taken The previous timestep s GLI and basal area values are kept For each grid cell in which a new GLI is to be calculated a mean GLI value is calculated as follows where e GLI is the mean GLI value as a value between 0 and 100 e ais the Basal Area Light Mean GLI a Parameter e bais the Basal Area Light Angiosperm b Parameter e cjisthe Basal Area Light Angiosperm c Parameter e BA is the angiosperm basal area for that grid cell in square meters e b isthe Basal Area Light Conifer b Parameter e c is the Basal Area Light Conifer c Parameter e BA is the conifer basal area for that grid cell in square meters This mean GLI is translated into a G value for the logno
167. d have your parameter files in the right locations before preparing your batch file for greatest ease Number of times to run this file The number of times to run this parameter file during the batch Add new parameter file This button adds a parameter file and a number of times to run to the batch list Current parameter files in this batch This displays the current parameter files in the batch list along with the number of times each should be run Remove Use this button to remove one or more parameter files from the batch list Once the batch list is the way you want it click OK to write the file Last updated 23 May 2007 09 37 AM Edit menu Parameters Use this option to edit parameter values for the run The parameters needing values changes depending on the behaviors for the run For more details on this option see the Parameters window topic For details on individual parameters see the behavior to which they belong Episodic events Use this option to edit planned episodic events such as silvicultural treatments and episodic mortality For more details on this option see the Edit Episodic Events Window topic Harvest interface Use this option to set up the Harvest Interface behavior Schedule storms Use this option to schedule storm events For more details on this option see the Edit scheduled storms window topic Tree population set allometry functions window Use this option to set the allometry fu
168. decay class 5 to forest floor litter and moss How it works The relative proportions of each kind of substrate are tracked in the Detailed Substrate grid Within each cell the grid keeps track of each substrate s area as a proportion of the total area as well as volume for each type of log substrate in m ha The behavior also summarizes and copies values into the Substrate grid for compatibility with other behaviors that use that grid Each timestep Detailed Substrate looks for harvest events and new tree inputs It finds harvest events by looking in the Harvest grid Harvest events add new scarified soil tip up and log substrate The behavior finds fallen and broken trees by looking for the flags set by mortality and snag dynamics behaviors Each fallen and broken tree or snag rolls the dice with a random number to determine the log decay class it will enter as substrate Fallen adult trees and snags also use a random number to determine whether they expose tip up mound substrate All the new substrate created by harvest and tree inputs is then totaled up When there is new substrate in a grid cell Detailed Substrate reduces the other substrate amounts in the cell to make way for the amount of new substrate All existing substrates are decayed each timestep as they age After they reach their maximum lifespan which is set by parameters they are deleted The final proportions of scarified soil tip up and logs are found by adding up the
169. ded to each grid cell In the equation above u is the basal area dependent seed rain term Setting this value to zero turns off density dependent seed rain x is the bath seed rain term Setting this value to zero turns off bath seed rain How to apply it Apply this behavior to adults of the species you wish to use non spatial disperse Behavior reference string non spatial disperse Spatial disperse behaviors Spatial disperse behaviors rely on the location and size of parent trees to determine the number and placement of seeds The placement of the seeds is controlled by a probability distribution function You can choose between the Weibull and lognormal functions The Weibull function is as follows where and where e Riis the density m2 of seedlings at a given point i e STR the standardized total recruits is the number of seedling recruits produced by a 30 cm DBH parent tree the Weibull Canopy Annual STR or Weibull Gap Annual STR parameters e DBH is the DBH in cm of the k T parent trees within a specified radius of location i e Disa species specific dispersal parameter the Weibull Canopy Dispersal or Weibull Gap Dispersal parameters e mix is the distance in meters from point i to the kth parent tree e and are disperse parameters the Weibull Canopy Theta or Weibull Gap Theta and Weibull Gap Beta or Weibull Canopy Beta parameters The lognormal function is as follows opp d T ain D R
170. density Trees of any size except seedlings can be cut The Harvest behavior selects the trees to remove in the same way for all three harvest types When it is determining which trees to remove it starts by finding the largest tree in the area of the plot affected by the harvest It works its way through the trees from largest to smallest assessing whether to cut each one until it either runs out of trees or reaches its cut target This process preferentially removes the largest trees in each size range unless the harvest is a percentage of density cut in which case all trees in the target size ranges have an equal probability of being cut If Harvest is cutting a percentage of basal area or an absolute amount of basal area it will only cut a tree if its basal area will not cause the total to be more than the target This means that for basal area defined cuts the Harvest behavior may skip some bigger trees and cut smaller ones in order to more exactly cut its target Each species is cut separately So a request to remove 20 of three species will remove 20 of each of them no matter what their relative proportions to each other Trees that are harvested are removed immediately When light is calculated for that timestep gaps opened up by the harvest will be visible If there are behaviors which apply to stumps a stump is created for each logged tree Otherwise the tree completely disappears The actual amount of tree harvest may not be ex
171. depth function Non Spatial Log Density Dep Crown Height b The b term in the non spatial logistic density dependent crown depth function Non Spatial Log Density Dep Crown Height c The c term in the non spatial logistic density dependent crown depth function Non Spatial Log Density Dep Crown Height d The d term in the non spatial logistic density dependent crown depth function Non Spatial Log Density Dep Crown Height e The e term in the non spatial logistic density dependent crown depth function Non Spatial Log Density Dep Crown Height f The f term in the non spatial logistic density dependent crown depth function Non Spatial Log Density Dep Crown Height g The g term in the non spatial logistic density dependent crown depth function Power Function a The a parameter in the power function for the height diameter relationship Power Function Exponent b The exponent or b parameter in the power function for the height diameter relationship Sapling Linear Function Intercept The intercept of the sapling linear function for DBH and height Sapling Linear Function Slope The intercept of the sapling linear function for DBH and height Sapling Reverse Linear Function Intercept The intercept of the sapling reverse linear function for DBH and height Sapling Reverse Linear Function Slope The slope of the sapling reverse linear function for DBH and height Seedl
172. dic events Episodic events edit windows Window layout The purpose of the main window is to display episodic events which have already been defined and to provide the starting point for creating new episodic events or editing existing ones On the left is a panel with three tabs labeled Harvests Plantings and Mortality Episodes For more on harvests and planned mortality episodes see the Disturbance Behaviors topic For more on Plantings see the Planting Behaviors topic On the right is a map of the plot On this map is displayed the plot grid cells to which a episodic event is applied In addition if there has been a tree map defined existing trees are also displayed The color key for these trees is at the far right Note to users of previous versions of SORTIE In the past trees would be displayed on the harvest plot if they had been either created by tree map or by size class initial densities This was because since the interface and the core model were completely integrated the initial density data had already been used to create the initial population of trees Now the interface and the core model are separated there are no trees produced from initial density data until the core model executes when Model gt Run is chosen from the main model window If you need to know the initial tree population and distribution in order to create your episodic events use a tree map If you want to create a tree map with a ra
173. dinates height etc Grid maps list some or all of the values held in each grid cell Usually maps are produced as part of detailed output files These maps are written in the XML data format in plain text They can be opened directly in a text editor but due to the data format it is probably not useful to do so Maps as output The maps represent the model s data in a semi raw state You can feed the maps of a detailed output file directly into the Data visualizer in order to view them graphically Maps as input If you have all of the tree and grid data from the model as maps you have the complete data set upon which the simulation was based This means you can use maps to recreate all or part of the model state and use it as a starting point for a new simulation possibly with different parameter values For more information on how to add map data to a parameter file see Adding to a parameter file If you wish to directly enter values for trees and grids you can do so For grids you can enter or change grid values using the Grid layer setup window Trees have their own tab delimited text file format For details on this format see tab delimited tree maps Text files can either be incorporated into parameter files the preferred method or have only a filename added The second method is used when the tree map is very large which can crash the SORTIE XML file reading system Creating your own map analyses If you would li
174. dit Harvest Interface window SORTIE does not care what the filename nor file extension is The file is tab delimited text It has the following format Line 1 two columns Current timestep total number of timesteps Line 2 column names 6 n columns X Y Species Type Diam Height Subsequent lines 6 n columns one line per tree X Y species number type number DBH diam10 height Species is given as a number from 0 to x 1 where x is the number of species The number counts the species in the order in which they are listed in the parameter file which is the same as the order they are listed in the Tree Setup window Type is given as a number as well The type numbers are 1 Seedling 2 Sapling 3 Adult 4 Stump 5 Snag Stumps are not available for harvesting The Diam value is diameter at 10 cm if the tree type is seedling and DBH in all other cases Both of these values are in cm The Height value is the height of the tree in meters The represents additional columns that you can ask SORTIE to include You set this up using the File columns section of the Edit Harvest Interface window You can choose any other tree data member that applies to all of the kinds of trees to which the harvest interface is applied including new ones that you add The list of tree data members depends on the other behaviors in the run The column header matches the internal SORTIE name of the dat
175. e e my detailed output 0 gz the data saved after setup occurred before the model started running These are the initial conditions e my detailed output 1 gz the data saved after the first timestep had run e my detailed output 2 gz the data saved after the second timestep had run e my detailed output 3 gz the data saved after the third timestep had run e my detailed output 4 gz the data saved after the fourth timestep had run e my detailed output 5 gz the data saved after the fifth timestep had run The gz extension indicates that these files are compressed If uncompressed the gz extension would be replaced with xml Detailed output files are very flexible and can contain any subset of the model s underlying tree and grid data You pick each individual piece of data that you wish to save and the frequency with which you wish to save it The data can be saved at any interval from every timestep to only at the first and last timesteps and each piece of data has its own save frequency You can use this to cut down on detailed output file size Data you are less interested in can be saved less frequently Subplots of a detailed output file Sometimes you might want to track a portion of the plot separately from the rest of it You can do this by defining subplots when you set up your detailed output file When you do this your SORTIE run will produce a detailed output file for the whole plot and one for each
176. e or 1 if there were no trees to which to assign a GLI value in on that grid cell Relative Neighborhood Density This grid holds values for the Relative Neighborhood Density 2 statistic as calculated by the Relative Neighborhood Density Calculator behavior The grid holds an Q value for each distance increment for each species This can be a great many values The grid cell resolution is always set to one cell covering the entire plot You cannot change this Data in the grid Data member Description name Maximum distance to which to calculate Q in meters Including this in the Max Distance output is not necessary but will improve the SORTIE graphing capability How often to calculate Q in meters Including this in the output is not Distance Tie necessary but will improve the SORTIE graphing capability Species X Dist Y The Q value for Species X at the Yth distance increment This is not Omega Value necessarily the distance in meters Resource This grid holds values for a second growth resource for use by the Double resource relative growth and Growth and Resource Based Mortality behaviors The actual identity of the resource is unknown and unimportant The grid holds a value for resource level in each cell and it is assumed that the units scale appropriately to the parameters for the growth behavior The grid cell resolution defaults to 8 m X 8 m You can set whatever new resolution you wish Data in the grid
177. e Weibull Annual a Parameter for Snag Size Class 2 Mortality Weibull annual a parameter for those trees whose DBH is greater than the value in Upper DBH of snag size class 1 but less than or equal to the value in Upper DBH of snag size class 2 Used by the Weibull snag mortality behavior e Weibull Annual a Parameter for Snag Size Class 3 Mortality Weibull annual a parameter for those trees whose DBH is greater than the value in Upper DBH of snag size class 2 Used by the Weibull snag mortality behavior e Weibull Annual b Parameter for Snag Size Class 1 Mortality Weibull annual b parameter for those trees whose DBH is less than or equal to the value in Upper DBH of snag size class 1 Used by the Weibull snag mortality behavior e Weibull Annual b Parameter for Snag Size Class 2 Mortality Weibull annual b parameter for those trees whose DBH is greater than the value in Upper DBH of snag size class 1 but less than or equal to the value in Upper DBH of snag size class 2 Used by the Weibull snag mortality behavior e Weibull Annual b Parameter for Snag Size Class 3 Mortality Weibull annual b parameter for those trees whose DBH is greater than the value in Upper DBH of snag size class 2 Used by the Weibull snag mortality behavior e Weibull Upper DBH of Snag Size Class 1 The upper DBH value of trees in size class 1 Used by the Weibull snag mortality behavior e Weibull Upper DBH of Snag Size Class 2 The upper DBH value
178. e added if you haven t added it already is out Set up subplots Opens the Edit Subplots window The other options allow you to choose saving options for different types life history stages of trees For the definition of seedling sapling adult and snag see the trees topic Save absolute density Saves the density of trees of each species of that type in number per hectare Save relative density Saves the density of trees of each species of that type as a proportion of total tree density for that type Save absolute basal area Saves the amount of basal area of trees of each species of that type in square meters per hectare Save relative basal area Saves the amount of basal area of trees of each species of that type as a proportion of total tree basal area for that type 16 Nov 2004 12 39 PM Edit Subplots Window You reach this window by clicking the Set up subplots button on either the Summary output file setup window or the Setup detailed output file window This window allows you to define subplots for output Subplots are subareas of the plot for which statistics will be tracked separately They can be as small as a single plot grid cell or as large as the entire plot They do not have to be continuous in area you could define several separate patches and put them together in a single subplot You can define up to five separate subplots Subplots can overlap In the center of the window is a map disp
179. e b parameter for the bole volume equation Used by the Tree Bole Volume Calculator behavior e Bole Volume Parameter b2 The b2 parameter for the bole volume equation Used by the Tree Bole Volume Calculator behavior e Bole Volume Parameter b3 The 55 parameter for the bole volume equation Used by the Tree Bole Volume Calculator behavior e Bole Volume Parameter b4 The b4 parameter for the bole volume equation Used by the Tree Bole Volume Calculator behavior e Bole Volume Parameter b5 The 55 parameter for the bole volume equation Used by the Tree Bole Volume Calculator behavior e Carbon Value Carbon Amount of Biomass 0 100406 The percentage of biomass that is carbon as a value between 0 and 100 Used by the Carbon Value behavior e Carbon Value Price Per Metric Ton Carbon The price per metric ton of carbon The currency is unimportant Used by the Carbon Value behavior e Dimension Analysis Biomass Units The units of biomass that the chosen biomass equation is expected to produce based on the parameters entered SORTIE ND will use this to convert the biomass value to metric tons Mg Used by the Dimension Analysis behavior Dimension Analysis Correction Factor The correction factor needed by some biomass equations that calculate In biomass log o biomass or logioo biomass This value is ignored if the value for the Dimension Analysis Use Correction Factor parameter for this species is false Used
180. e decay equation as applied to small logs of species group X decay class Y Used by the Detailed Substrate behavior e Species Group X Large Class Y Partial Cut Log 0 1 After a partial cut harvest the proportion of substrate area that is large logs of species group X decay class Y All partial cut values added together must be less than or equal to 1 This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior e Species Group X Small Class Y Partial Cut Log 0 1 After a partial cut harvest the proportion of substrate area that is small logs of species group X decay class Y All partial cut values added together must be less than or equal to 1 This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior m e Tip Up Mounds Annual Decay Alpha The a exponent in the decay equation Y as applied to tip up mounds substrate Note that this is annual decay Used by the Substrate and Detailed Substrate behaviors e Tip Up Mounds Annual Decay Beta The f exponent in the decay equation as applied to tip up mounds substrate Note that this is annual decay Used by the Substrate and Detailed Substrate behaviors e Uprooted Tree Radius Increase Factor for Root Rip Out The amount by which to multiply the tree s radius when calculating the size of the new tip up mounds soil exposed by fallen trees see equation below This is meant to allow for the ef
181. e function to determine light level Used by the Storm Light behavior e Storm Light Max Radius m for Damaged Neighbors The maximum distance in meters within which the Storm Light behavior searches for damaged trees Used by the Storm Light behavior e Storm Light Max Years Damaged Trees Affect Light The maximum amount of time in years after storm damage that a tree will still be counted in the number of damaged trees Used by the Storm Light behavior e Storm Light Max Years Snags Affect Light The maximum amount of time in years after death that a snag will still be counted in the number of damaged trees Used by the Storm Light behavior e Storm Light Minimum Trees For Full Canopy The minimum number of adult trees and snags within the value in Storm Light Max Radius m for Damaged Neighbors for the point to be considered under full canopy Used by the Storm Light behavior e Storm Light Slope of Light Function Slope of the function to determine light level Used by the Storm Light behavior e Storm Light Standard Deviation If the value in the Storm Light Stochasticity parameter is Normal or Lognormal the standard deviation of the probability distribution function If stochasticity is Deterministic this value is ignored Used by the Storm Light behavior e Storm Light Stochasticity What method to use for randomizing light values if desired Used by the Storm Light behavior e Upper Age Yrs of Snag Light Tran
182. e grids and tree data members in order to read the results of previous behaviors and make their own calculations For specifics on these data and what behaviors create them see the list of grids that can be created and list of tree data members that can be added To view this data save a detailed output file Usually a behavior also needs settings and inputs from you to do its job This data is included in the parameter file To edit settings for behaviors use the Parameters window If a behavior does not have all of the data it requires you will receive an error message Links to individual behavior documentation Harvest and disturbance behaviors Light behaviors Growth behaviors Mortality behaviors Substrate behaviors Tree removal behaviors Disperse behaviors Seed predation behaviors Establishment behaviors Planting behaviors Analysis behaviors Last Updated 16 May 2005 08 49 AM Disturbance behaviors Disturbance behaviors simulate different kinds of forest disruption These behaviors cause tree damage and death due to a variety of processes In this document Disturbance parameters Competition Harvest Harvest Harvest interface Planned episodic mortality Random browse Storm disturbance Storm damage applier Storm damage killer Storm direct killer Selection harvest Windstorm Disturbance parameters Note the Harvest and Planned episodic mortality behaviors do no
183. e growing season Used by all behaviors making GLI or Sail light calculations Light Filter Light Transmission Coefficient Amount of light that is blocked by the light filter Only applies to the Beer s law light filter behavior Minimum Solar Angle for GLI Light in rad This is the minimum angle at which sunlight is seen in radians Below this value the sky is assumed to be dark due to shading neighbors This value applies to the GLI light behavior Minimum Solar Angle for GLI Map Creator in rad This is the minimum angle at which sunlight is seen in radians Below this value the sky is assumed to be dark due to shading neighbors This value applies to the GLI Map Creator behavior Minimum Solar Angle for GLI Points Creator in rad This is the minimum angle at which sunlight is seen in radians Below this value the sky is assumed to be dark due to shading neighbors This value applies to the GLI Points File Creator behavior Minimum Solar Angle for Quadrat Light in rad This is the minimum angle at which sunlight is seen in radians Below this value the sky is assumed to be dark due to shading neighbors This value applies to the Quadrat based GLI light behavior if the value should be different from the value being used by the GLI light behavior Number of Altitude Sky Divisions for GLI Light Calculations Number of grid cells into which the sky is divided from horizon to zenith for the purpose of calculating light direction Used by the GLI lig
184. e number of seeds when not masting Used by the Masting non spatial disperse behavior Masting Disperse Masting Beta The p value under masting conditions Used by the Masting spatial disperse behavior Masting Disperse Masting CDF a The a value in the cumulative density function that is used to decide when masting events occur Used by the Masting spatial disperse behavior Masting Disperse Masting CDF b The b value in the cumulative density function that is used to decide when masting events occur Used by the Masting spatial disperse behavior Masting Disperse Masting Group Species in the same group always mast together If all the group numbers are different then each species masts separately The actual numbers do not matter just whether species have identical numbers Used by the Masting spatial disperse behavior Masting Disperse Masting Lognormal X The mean of the lognormal function under masting conditions This is only required for a species if the canopy probability distribution function for that species is lognormal Used by the Masting spatial disperse behavior Masting Disperse Masting Lognormal X The standard deviation of the lognormal function under masting conditions This is only required for a species if the canopy probability distribution function for that species is lognormal Used by the Masting spatial disperse behavior Masting Disperse Masting STR Mean The mean annual STR value under masting condi
185. ear diameter height relationship The power diameter height relationship Allometry is the relationships between various aspects of a tree s size and shape A tree may use different relationships for different life history stages You can choose the relationship used by each life history stage of each species These can be freely mixed and matched Use the Edit Allometry Functions window to set the allometry functions Definitions DBH diameter at breast height is the diameter of a tree trunk at 1 35 meters above the ground Diameter at 10 cm or diamyjo is the diameter of a tree trunk 10 cm above the ground In general crowns are modeled as cylinders with a radius and a height Specific behaviors may make different assumptions but if so they should be clearly stated in that behavior s documentation Seedlings in SORTIE ND do not have crowns Saplings and adults and in some cases snags all use the same relationships to describe crown shape Allometry parameters e Adult Linear Function Intercept The intercept of the adult linear function for DBH and height e Adult Linear Function Slope The slope of the adult linear function for DBH and height e Adult Reverse Linear Function Intercept The intercept of the adult reverse linear function for DBH and height e Adult Reverse Linear Function Slope The slope of the adult reverse linear function for DBH and height e Chapman Richards Asymptotic Crown Height The asympto
186. ecies Used by the Light Dependent Seed Survival behavior e Standard Deviation of Fresh Log Substrate Height in m The standard deviation of height of fresh log substrate in meters Used by the Establishment with Microtopography behavior e Standard Deviation of Mound Height in m The standard deviation of the height of mounded areas in meters Used by the Establishment with Microtopography behavior e Upper Age Yrs of Snag Light Extinction Class 1 The upper age limit in years defining the first age class of snag light extinction Snags with an age less than or equal to this age have a light extinction coefficient matching Snag age class 1 light extinction coefficient If your run does not work with snags you can ignore this Used by the Light Dependent Seed Survival behavior e Upper Age Yrs of Snag Light Extinction Class 2 The upper age limit in years defining the second age class of snag light extinction Snags with an age greater than the upper limit for size class 1 but less than or equal to this age have a light extinction coefficient matching Snag age class 2 light extinction coefficient Snags with an age greater than this value are in age class three If your run does not work with snags you can ignore this Used by the Light Dependent Seed Survival behavior Substrate Dependent Seed Survival No Gap Status This behavior assesses seed survival based on substrate conditions How it works The behavior takes the
187. ed The increment is calculated as described in the Constant radial growth behavior Note that the increment parameter specifies radial growth the behavior makes all necessary conversions How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string relradial diam only Relative growth limited to basal area increment diam with auto height How it works This behavior calculates an amount of diameter growth according to the relative growth equation Growth is limited to a maximum of a constant basal area increment The amount of diameter increase is calculated by dividing the annual basal area increment of the tree s species by the diameter of the tree The increment is calculated as described in the Constant basal area growth behavior Tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string relba Relative growth limited to basal area increment diam only How it works This behavior calculates an amount of diameter growth according to the relative growth equation Growth is limited
188. ed as Light Effect Proportion Established Lon 0 GLI 100 How it works To assess the effects of light level on the number of seeds that survive this behavior retrieves the light level from the Storm Light grid that corresponds to the point in the center of each Dispersed Seeds grid cell The proportion of seeds that survive for a given species is calculated as e If GLI lt GLlop LE 1 Sto GLIop GLD e IfGLI GLI LE 1 If GLI gt GLIop LE 1 Sni GLI GLIsu e GLIis the light level at the center of the Dispersed Seeds grid cell e GLI is the GLI of Optimum Establishment 0 100 parameter e Sj is the Slope of Dropoff Below Optimum GLI parameter e Shi is the Slope of Dropoff Above the Optimum GLI parameter Once the proportion of seeds that survive at the given light level has been calculated this value is multiplied by the number of seeds to reduce them by the proper amount The new reduced number of seeds is put back in the Dispersed Seeds grid How to apply it Apply this behavior to seeds of your desired species Any species to which it is applied must also have a Disperse behavior and the Storm Light behavior applied Behavior reference string Storm Light Dependent Seed Survival Density Dependent Seed Survival This behavior assesses seed survival as a function of the local density of conspecific seeds How it works This behavior takes the seeds that have been dispersed to each grid ce
189. ed by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Windthrow Intensity Effect Intensity effect parameter used for determining risk of windthrow Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Windthrow Size Effect Size effect term when determining risk of windthrow Used by the Post Harvest Skidding Mortality behavior Senescence Mortality Alpha Controls the senescence mortality rate Used by the Senescence behavior Senescence Mortality Beta Controls the senescence mortality rate Used by the Senescence behavior Stochastic Bi Level High Light Mortality Probability 0 1 The annual probability of mortality under high light conditions as a proportion between 0 and 1 Used by the Stochastic Bi Level Mortality behavior Stochastic Bi Level High Light Mortality Threshold 0 100 The threshold between low light and high light mortality rates as a value between 0 and 100 Used by the Stochastic Bi Level Mortality behavior Stochastic Bi Level Low Light Mortality Probability 0 1 The annual probability of mortality under low light conditions as a proportion between 0 and 1 Used by the Stochastic Bi Level Mortality behavior e Weibull Annual a Parameter for Snag Size Class 1 Mortality Weibull annual a parameter for those trees whose DBH is less than or equal to the value in Upper DBH of snag size class 1 Used by the Weibull snag mortality behavior
190. ed trees die and if they become snags it manages the snag population by causing snag tip up and removal This behavior does not decide which trees get damaged in a storm that is the job of the Storm damage applier behavior How it works Trees that have received medium or heavy damage from the Storm damage applier behavior have a certain probability of survival Undamaged trees and any trees with a DBH smaller than the values set in the Minimum DBH for Storm Damage in cm parameter are ignored The probability is S where e pis the tree s probability of survival between 0 and 1 e a is either the Storm Medium Damage Survival Prob Intercept a or the Storm Heavy Damage Survival Prob Intercept a parameter depending on the tree s damage category e bis either the Storm Medium Damage Survival Prob DBH Coeff b or the Storm Heavy Damage Survival Prob DBH Coeff b parameter depending on the tree s damage category e DBH is the tree s DBH in cm Once the survival probability has been calculated this behavior uses a random number to determine whether it lives or dies Damaged trees are only at risk of dying at the time of the storm that damages them if they survive it this behavior will not try to kill them again even if they are still damaged A certain proportion of heavily damaged trees that die create tip ups The probability of this is in the parameter Storm Prop Heavy Damage Dead Trees that Tip Up If snags
191. ee maps which can be prepared in any spreadsheet program and added to SORTIE ND e New data visualization chart type histograms for grid values e New behavior for calculating tree volume the Tree bole volume calculator behavior e Updated Substrate behavior documentation e New behavior for calculating tree biomass the Dimension analysis behavior e New feature for running batches e NCI behaviors NCI Mortality and NCI growth now have a parameter for minimum DBH of crowding neighbors e The Storm damage applier behavior now can kill trees immediately as a result of storm damage e Changes to the File menu options Version 6 02 released March 10 2005 New in version 6 02 e New tree data members for Light level and Diameter Growth e New behavior for creating GLI maps Gap Light behavior e New line graphs in data visualization for relative volume and absolute volume e Seedling initial density can now be controlled by three height classes e New growth based mortality behavior Competition Mortality e New mortality as a function of growth and a second resource Growth and Resource Based Mortality e New function form for the NCI growth behaviors e New growth functions using a double Michaelis Menton function of light and a second resource Double resource relative growth e New light behavior which simplifies GLI calculations for extremely competitive gap dynamics Gap Light behavior e New growth be
192. ee setup window then move to the Edit simulation flow window Once you have completed these steps you can save your new file and then enter parameters for it For more on creating a new parameter file see Creating a parameter file New batch file Use this option to create a new batch file You can read more about batch runs here This option opens the batch file setup window Open file Use this option to open parameter and data files in SORTIE ND You can open parameter files this way and then add map files or detailed output files to the run You can load files that may not be complete or valid for a run To check a file you can save it or open the Parameters window and then click OK to trigger a file validation Save parameter file Use this option to save a parameter file You have to specify the filename each time The filename of the file currently loaded is visible in the bottom left corner of the main SORTIE window You can save a parameter file even if it is not complete or is incorrect If this is the case you will get a warning message that tells you of the file s problem and asks you if you want to continue with the save Clicking yes will save the file Set working directory Choosing this option allows you to give SORTIE a directory you wish to work in Then all windows for working with files will automatically open to this directory Open run output Use this option to use the data visualization functions to graphi
193. effects of release Used in absolute growth behaviors Length of Last Suppression Factor Controls the magnitude of the effects of suppression Used in absolute growth behaviors Linear Bi Level Intercept for High Light Growth a The intercept of the linear growth function used in high light conditions Used in the Linear bi level growth diam with auto height and Linear bi level growth diam only behaviors Linear Bi Level Intercept for Low Light Growth a The intercept of the linear growth function used in low light conditions Used in the Linear bi level growth diam with auto height and Linear bi level growth diam only behaviors Linear Bi Level Slope for High Light Growth b The slope of the linear growth function used in high light conditions Used in the Linear bi level growth diam with auto height and Linear bi level growth diam only behaviors Linear Bi Level Slope for Low Light Growth b The slope of the linear growth function used in low light conditions Used in the Linear bi level growth diam with auto height and Linear bi level growth diam only behaviors Linear Bi Level Threshold for High Light Growth 0 100 The threshold between low light and high light parameters as a value between 0 and 100 Used in the Linear bi level growth diam with auto height and Linear bi level growth diam only behaviors Logistic Asymptotic Diam Growth Full Light in mm yr a Asymptotic annual
194. ehavior applied Behavior reference string absba Absolute growth limited to basal area increment diam only How it works This behavior calculates an amount of diameter growth according to the absolute growth equation Growth is limited to a maximum of a constant basal area increment The amount of diameter increase is calculated by dividing the annual basal area increment of the tree s species by the diameter of the tree The increment is calculated as described in the Constant basal area growth behavior How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string absba diam only Non limited absolute growth diam with auto height How it works The amount of diameter increase returned by the absolute growth equation is applied to the tree Tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string absunlim Non limited absolute growth diam only How it works The amount of diameter increase returned by the absolute growth equation is applied to the tree How to apply it Thi
195. eight only behavior Lognormal Bi Level Xb for High Light Growth The X parameter to use under high light growth conditions Used by the Lognormal bi level growth height only behavior Lognormal Bi Level Xb for Low Light Growth The X parameter to use under low light growth conditions Used by the Lognormal bi level growth height only behavior Lognormal Bi Level Threshold for High Light Growth 0 100 Used by the Lognormal bi level growth height only behavior Lognormal Diam Effect of Shade c Effect of shade Used by the Lognormal with exponential shade reduction diam with auto height and Lognormal with exponential shade reduction diam only behaviors Lognormal Diam Growth Increment at Diam 36 in mm yr a Annual growth increment at diameter 36 in mm yr Used by the Lognormal with exponential shade reduction diam with auto height and Lognormal with exponential shade reduction diam only behaviors Lognormal Diam Shape Parameter b Shape parameter Used by the Lognormal with exponential shade reduction diam with auto height and Lognormal with exponential shade reduction diam only behaviors Lognormal Height Effect of Shade c Effect of shade Used by the Lognormal with exponential shade reduction height only behavior Lognormal Height Growth Increment at Diam 36 in cm yr a Annual growth increment at diameter 36 in cm yr Used by the Lognormal with exponential
196. ell from 0 not susceptible to Ha damage to gt 1 very susceptible to damage Substrate This grid is created by the Substrate behavior The grid holds the relative proportions of the various substrate types If the Harvest behavior is present for the run then this grid s resolution must match the Harvest Results grid Otherwise it defaults to a cell resolution of 8 m X 8 m which you can change This grid holds packages with a different data structure from the main grid to track Substrate cohorts Data in the grid Data member name Description Proportion of scarified soil The proportion of the grid cell area that is scarified soil Proportion of forest floor The proportion of the grid cell area that is forest floor Proportion of tip up mounds The proportion of the grid cell area that is tip up mounds Proportion of fresh logs The proportion of the grid cell area that is fresh logs Proportion of decayed logs The proportion of the grid cell area that is decayed logs Packages Data member name Description Substrate cohort age The age of the substrate cohort in timesteps Substrate cohort new scarified soil The proportion of cell area that is scarified soil added in substrate this cohort Substrate cohort new tip up The proportion of cell area that is tip up mounds substrate mounds substrate added in this cohort The proportion of cell area that is fresh logs added in this Substrate cohort new fresh logs chon Substrate calc
197. ely tapered off Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Snag Recruitment Basic Prob Basic probability of standing death after harvest Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Snag Recruitment Crowding Effect The effect of neighborhood basal area on standing death probability Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Snag Recruitment Rate Param Determines how quickly the effects of harvesting on standing death probability taper off Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Snag Recruitment Skidding Effect Effect of harvest intensity on postharvest probability of standing death Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Windthrow Background Prob Annual postharvest risk of windthrow after harvest effects have completely tapered off Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Windthrow Crowding Effect The effect of neighborhood basal area on windthrow probability Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Windthrow Harvest Basic Prob Basic annual probability for windthrow after a harvest Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Windthrow Harvest Rate Param Determines how quickly the effects of harvesting on windthrow probability taper off Us
198. ensity dependent function Non Spatial Density Dep Inst Crown Height d The d term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height e The e term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height f The f term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height g The g term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height h The h term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height i The i term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Density Dep Inst Crown Height j The j term in the instrumental crown depth equation used to calculate crown radius for the non spatial exponential density dependent function Non Spatial Exp Density Dep Crown Radius D1 The D1 term in the non spatial
199. enter you select the area of the plot to which to apply your planting If a tree map has been entered those trees are displayed on the map and the species key is to the right For more on tree maps and episodic events see the Edit Episodic Events Window topic In this document Entering data about the planting Choosing the area to which to apply the planting Entering data about the planting Timestep Enter the timestep in which you wish the planting to occur You can create more than one planting per timestep Percentage of each species For each species enter the percentage of total trees planted that should be of that species as a value between 0 and 100 Enter zero in order to not plant a species Values should add up to 100 When SORTIE plants a seedling it compares a random number to these values to determine its species This ensures a random distribution of species in the planted population but it also means that if the number of seedlings to plant is small the actual percentages of each species planted may not exactly match the entered values Plant spacing Select the seedling spacing If you select Gridded the seedlings are placed at a fixed distance from each other If you select Random the seedlings are randomly scattered around the plant area total trees ha You enter this value if the Plant spacing is set to Random This is the total number of seedlings to plant as a value per hectare SORTIE determin
200. er the plot s basal area exceeds a certain threshold set in the Competition Harvest Fixed BA Harvest Threshold m2 ha parameter The same amount of basal area is harvested every time set in the Competition Harvest Amount to Harvest parameter To make sure that harvests do not happen too frequently set a minimum interval between harvests in the Competition Harvest Min Years Between Fixed BA Harvests parameter Fixed basal area threshold cutting a proportion of the plot basal area Set the harvest type parameter to Fixed BA This is the same as the first harvest type except the amount to harvest is different This harvest removes a set proportion of the plot s basal area Set this proportion between 0 and 1 in the Competition Harvest Amount to Harvest parameter Fixed interval cutting plots back to a basal area threshold Harvests occur at a fixed interval set in the Competition Harvest Fixed Interval Harvest Interval yr parameter The first timestep will have a harvest Harvests remove trees until the plot reaches a specific amount of basal area set in the Competition Harvest Amount to Harvest parameter Competition Harvest uses these criteria to determine when and how much to cut Harvests occur over the the entire plot area During a harvest Competition Harvest calculates how much basal area it needs to cut It can select trees without regard to species or it can remove trees in a set ratio Species ratio is set in the Com
201. ere Adult tree count are behaviors which use forest cover Foliar Chemistry This grid is created by the Foliar Chemistry behavior This is where the amount of different foliar chemistry components is stored All data is stored raw no conversion to per hectare amounts The grid cell resolution is set to 8 m X 8 m You can change this to whatever you wish Data in the grid Data member name Description Kg N for species X Amount of N for species X in kg Kg P for species X Amount of P for species X in kg Kg SLA for species X Amount of SLA for species X in kg Kg Lignin for species X Amount of lignin for species X in kg Kg Fiber for species X Amount of fiber for species X in kg Kg Cellulose for species X Amount of cellulose for species X in kg Kg Tannins for species X Amount of tannins for species X in kg Kg Phenolics for species X Amount of phenolics for species X in kg Gap Light This grid is created by the Gap Light behavior Each grid cell holds the cell s gap status either TRUE or FALSE The grid cell resolution defaults to 8 m X 8 m You can set whatever new resolution you wish Data in the grid Data member name Description Is Gap Whether TRUE or not FALSE that grid cell has gap status GLI Map This grid is created by the GLI Map Creator behavior The grid holds a GLI value in each cell The grid cell resolution defaults to 8 m X 8 m You can set whatever new resolution you wish D
202. ered in the Merchantable Timber Value Form Class parameter The behavior begins by finding out how many 16 foot logs the tree can provide in its bole The base of the bole is the top of the cut stump the top of the bole is the merchantable height This behavior defines the merchantable height as the height at which the trunk diameter inside the bark tapers to 60 of DBH The behavior tries fitting in as many 16 foot logs as possible before the 60 taper occurs The amount of taper at the top of the first 16 foot log is established by the tree s form class A species s form class is the percentage of DBH to which the bole has tapered at the top of the first 16 foot log Then the behavior determines how many more logs the tree contains The amount of taper at the top of the first 16 foot log is subtracted from the DBH to see how much taper is left before the 60 merchantable height diameter is reached There is no formula that establishes clearly how many logs will fit the behavior uses a trial and error approach taken from Messavage and Girard 1956 This paper includes the table below for upper log taper for trees of various DBH and bole heights The behavior uses this table to determine the maximum number of logs it can fit into the taper available Trees below 10 inches of DBH contain no merchantable timber and have a value of zero Trees greater than 40 inches of DBH are treated like 40 inch trees Once the behavior figures out how many
203. erse Binomial P Mast Chance p value for the binomial distribution used to randomly decide whether to mast each timestep Used by the Masting non spatial disperse behavior Mast NS Disperse Masting Group Species in the same group always mast together If all the group numbers are different then each species masts separately The actual numbers do not matter just whether species have identical numbers Used by the Masting non spatial disperse behavior Mast NS Disperse Mast Inv Gauss Mu Mu parameter for the inverse Gaussian distribution for choosing seeds in masting conditions Values are only required for those species using this distribution when masting Used by the Masting non spatial disperse behavior Mast NS Disperse Mast Inv Gauss Lambda Lambda parameter for the inverse Gaussian distribution for choosing seeds in masting conditions Values are only required for those species using this distribution when masting Used by the Masting non spatial disperse behavior Mast NS Disperse Non Mast Inv Gauss Mu Mu parameter for the inverse Gaussian distribution for choosing seeds in non masting conditions Values are only required for those species using this distribution when not masting Used by the Masting non spatial disperse behavior Mast NS Disperse Non Mast Inv Gauss Lambda Lambda parameter for the inverse Gaussian distribution for choosing seeds in non masting conditions Values are only required for those species using
204. es can display specialized tables for the following grids e Harvest Results e Mortality Episode Results e Carbon Value e Merchantable Timber Value e Windstorm Results e Partitioned Biomass e Storm Killed Partitioned Biomass e Storm Damage e Foliar Chemistry If you wish to view these tables set up your detailed output file to save all the data from your chosen grids Last updated 17 Dec 2008 07 23 AM Further reading A reference list along with many reprints is available at www sortie nd org Glossary Adult tree A tree whose DBH is at least the minimum DBH for adulthood See the trees topic for more Allometry The relationships between various aspects of a tree s size and shape See the allometry topic for more Basal area The cross sectional area of a tree trunk at 1 35 meters DBH Batch Grouping SORTIE runs together to automatically run consecutively See the batch topic for more BC British Columbia Date Creek area central BC One of the primary SORTIE field sites Submodels often contain a version whose simulations are based on field data from BC and are thus intended primarily to simulate BC conditions Behavior A unit of work in the model which makes calculations and updates tree and grid data A simulation consists of a chosen list of behaviors working in sequence A behavior usually corresponds to a biological process See the behaviors topic for more Canopy The branches and leave
205. es the actual number to plant by multiplying this value by the planting area Spacing m You enter this value if the Plant spacing is set to Gridded This is the distance in meters between newly planted seedlings in an 8 meter by 8 meter plot grid cell If this distance is larger than 4 only one seedling per grid cell will be planted Choosing the area to which to apply the planting To specify the plot area to which to apply the planting select the appropriate cells on the map Cells are each 8 meters by 8 meters Selected cells will show up in color and unselected cells will be white You can click and drag to mark out an area or click on individual cells Clicking or dragging on selected colored cells causes them to become unselected white 07 Dec 2004 10 26 AM Edit Harvest Interface Window This window is reached from the Edit menu by selecting Harvest Interface It allows you to set up the Harvest interface behavior Path and filename of the executable This is the full path and filename of the executable that SORTIE will call to perform harvests The filename and file extension must be something that the operating system can recognize and treat as an executable Be sure to provide the complete filename SORTIE makes no assumptions about the file Tree file that SORTIE will write This is the full path and filename of the file that SORTIE writes each harvest timestep with the list of trees eligible to be harvested Input
206. es to which it is applied that are available in each cell of the Dispersed Seeds grid Each cell gets its own run of the mini model The pool of seeds in one cell for all species to which this behavior applies is treated as a single food pool for one year s time even if the model timestep length is greater than one year For all the species to which this behavior is applied the seeds are assumed to be equally available however each species can have its own parameters for actual consumption rate The initial number of predators is calculated from the Predator initial density num sq m parameter or if the mini model has run before and the Preserve predator densities between SORTIE timesteps parameter is set to true from the final density of the last mini model run The behavior mini model run begins at the part of the year in which seedfall occurs The number of seeds in the seed rain is the total seed pool which is evenly divided over the user defined seed rain length The predator population has as a food source the number of seeds added during the current week s rain if the rain is going on plus any leftover seeds from previous weeks which have not been consumed Beginning at a certain week in the spring the number of seeds available to the mice is further reduced by a certain percentage each week to simulate germination Once germination begins it continues until the predator model finishes running In order to correctly calculate mouse con
207. esigned to work with the NCI behavior The use of any other light behavior is at your own risk If any storm damage parameters are set to anything other than 1 it is recommended but not required that you have the Storm damage applier behavior applied Behavior reference string NCI Mortality Competition Mortality Competition mortality is a growth based mortality behavior It uses the results of the NCI growth behavior How it works NCI growth in SORTIE is calculated in the following way Growth Max Growth Size Effect Shading Effect Crowding Effect Damage Effect Max Growth is the maximum diameter growth the tree can attain in cm yr entered in the NCI Maximum Potential Growth cm yr parameter Size Effect Shading Effect Crowding Effect and Damage Effect are all factors which act to reduce the maximum growth rate and will vary depending on the conditions a tree is in Each of these effects is a value between 0 and 1 In the Competition mortality behavior the following measure is used as predictor variable for probability of mortality Relative increment Growth PG The relative increment is the ratio between the growth for an individual tree and the maximum growth possible for that tree The Growth is the tree s growth for the previous timestep PG is calculated as follows PG Max Growth SE where Max Growth is the NCI growth parameter NCI Maximum Potential Growth cm yr and SE is the Size Effect Size Effect
208. est floor litter and 60 of the plot area is mound then the area of the grid cell that is forest floor litter mound substrate is 12 and the area of grid cell that is forest floor litter ground substrate is 8 The behavior takes the substrate composition of each grid cell in the Substrate grid calculates the amount of the twelve substrate types and converts it into a single number for each species called the substrate favorability index The favorability index is the sum of the proportions of each substrate multiplied by the proportion of seeds that germinate on that substrate This index represents the proportion of total seeds of that species that are expected to survive in that area of the plot This index is stored in the grid Substrate Favorability The behavior then goes through each grid cell in the Dispersed Seeds grid and assesses the survival for the seeds of those species to which it applies This behavior starts by giving each seed a random temporary location within the Dispersed Seeds grid cell Then it retrieves the substrate favorability at that point from the Substrate Favorability grid It then compares a random number to the substrate favorability to determine whether the seed lives This method ensures that we can assess substrate favorabilities correctly when the Dispersed Seeds and Substrate grids have different grid cell resolutions Once this process is complete the number of surviving seeds for each species is assigned bac
209. eter before the primary growth is applied and X is the other tree dimension after primary growth is applied The allometric diameter growth behavior can be paired with any height only growth behavior and the allometric height growth behavior can be paired with any diam only growth behavior How to apply it These behaviors can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a growth behavior applied that grows the opposite tree dimension Behavior reference string diameter incrementer and height incrementer Double resource relative growth diam with auto height This behavior uses a double Michaelis Menton function to calculate relative growth based on two resources light and a second resource The identity of the second resource is unimportant and could be anything from exchangeable calcium levels to soil moisture Relative growth is calculated with the equation A C R GL AHC R GL 4 C RY ff rr Ty LT r ris Ct M where e Yis the amount of annual relative growth e Ais the Asymptotic Diameter Growth A parameter e Sis the Slope of Growth Response S parameter e Cis the Double resource Influence of Resource C parameter in units appropriate to the value of R e Ris the amount of the second resource in units appropriate to the value of C e GLl is the global light index calculated by a light behavior
210. eter increments How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height only growth behavior applied Behavior reference string lognormal growth diam only Stochastic Gap Growth This behavior uses a shortcut for simulating gap dynamics with very competitive conditions This behavior causes rapid growth in high light with a unique winner low light produces no growth at all How it works This behavior simulates high growth in gap conditions It relies on the Gap Light grid created by the Gap Light behavior to tell it where the gaps are In this grid each cell is either in gap with 100 GLI or not in gap with 0 GLI If a cell is in gap a tree in that cell is randomly chosen out of all the trees to which the behavior applies to be promoted directly to adult tree status even if it is a seedling This tree represents the winner All other trees in the cell do not grow In cells that are not in gap no trees grow How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have the Gap Light behavior applied Behavior reference string Stochastic Gap Growth Linear bi level growth diam with auto height This behavior increments growth according to a simple linear equation with t
211. ew and change values for grid maps and write them out to tab delimited text files Clear grid map If there is a map loaded for this grid then the button marked Clear grid map is enabled If you want to remove a currently loaded map click this button This erases all map values for the current grid This action cannot be undone even if you click Cancel for the window 15 Sep 2004 02 45 PM Grid Value Edit Window This window allows you to directly work with the data in the grid maps for a single grid You can look at the values for maps loaded from a parameter or detailed output file make changes to existing maps or enter new values to use as initial conditions You reach this window from the Grid Setup window When you open this window you will notice that it is composed of one or more tables There is one table for each grid data member see the individual grid documentation for what each grid data member represents If a table is completely blank that means that there is currently no map loaded for this grid or at least for that data member If there is a map loaded you will see values in the tables You load grid maps using the File gt Open file command For more on entering the maps from a detailed output file the most likely source see the detailed output file topic Editing map values To edit a value double click its cell You can copy and paste back and forth from Excel and within the window itself You
212. exponential density dependent crown radius function Non Spatial Exp Density Dep Crown Radius a The a term in the non spatial exponential density dependent crown radius function Non Spatial Exp Density Dep Crown Radius b The b term in the non spatial exponential density dependent crown radius function Non Spatial Exp Density Dep Crown Radius c The c term in the non spatial exponential density dependent crown radius function Non Spatial Exp Density Dep Crown Radius d The d term in the non spatial exponential density dependent crown radius function Non Spatial Exp Density Dep Crown Radius e The e term in the non spatial exponential density dependent crown radius function Non Spatial Exp Density Dep Crown Radius f The f term in the non spatial exponential density dependent crown radius function Non Spatial Density Dep Inst Crown Radius a The a term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius b The b term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent function Non Spatial Density Dep Inst Crown Radius c The c term in the instrumental crown radius equation used to calculate crown depth with the non spatial logistic density dependent
213. f seedling or sapling or DBH if adult e Tis the number of years per timestep e Xis the Relative Michaelis Menton Growth Diameter Exponent parameter Relative height growth is calculated slightly differently The details are discussed in the section for the Relative growth height only behavior below Relative growth is discussed in Pacala et al 1996 Relative growth limited to radial increment diam with auto height How it works This behavior calculates an amount of diameter growth according to the relative growth equation Growth is limited to a maximum of the constant radial growth increment for the species of tree to which it is being applied The increment is calculated as described in the Constant radial growth behavior Tree height is allowed to update automatically according to the allometry equations Note that the increment parameter specifies radial growth the behavior makes all necessary conversions How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string relradial Relative growth limited to radial increment diam only How it works This behavior calculates an amount of diameter growth according to the relative growth equation Growth is limited to a maximum of the constant radial growth increment for the species of tree to which it is being appli
214. f the first DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 1 Upper DBH cm The upper bound of the first DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 1 Target Basal Area m2 ha The target basal area in square meters per hectare of the first cut range Used by the Selection harvest behavior Selection Harvest Cut Range 2 Lower DBH cm The lower bound of the second DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 2 Upper DBH cm The upper bound of the second DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 2 Target Basal Area m2 ha The target basal area in square meters per hectare of the second cut range Used by the Selection harvest behavior Selection Harvest Cut Range 3 Lower DBH cm The lower bound of the third DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 3 Upper DBH cm The upper bound of the third DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 3 Target Basal Area m2 ha The target basal area in square meters per hectare of the third cut range Used by the Selection harvest behavior Selection Harvest Cut Range 4 Lower DBH cm The lower bound of the fourth DBH cut range in cm Used by the Selection harvest behavior Selection Harvest Cut Range 4 Upper DBH cm
215. fects of roots Used by the Substrate and Detailed Substrate behaviors e Use Directional Tree Fall If true dead trees fall in a random direction and possibly contribute new fresh log across several Substrate grid cells If false dead trees collapse vertically and contribute all their fresh log area to the cell in which they are rooted Used by the Substrate and Detailed Substrate behaviors Substrate This behavior keeps track of six kinds of substrate forest floor litter forest floor moss scarified soil tip up mounds decayed logs and fresh logs Forest floor litter and forest floor moss form a common pool in fixed relative proportion to each other These six substrates form a cycle Fresh logs decay into decayed logs Decayed logs scarified soil and tip up mounds decay into forest floor litter and moss If no new substrate were created eventually the whole forest would be uniformly covered in forest floor substrate The creation of new substrate decreases the amount of forest floor litter and moss and starts the process over again There are two ways in which new substrate is added harvest treatments and tree fall Each kind of harvest treatment partial cut gap cut and clear cut has its own substrate signature which you set in the parameters The existing substrate proportions after a harvest are erased and replaced with this signature The other type of substrate change event tree fall allows SORTIE to account for small scale
216. ffect d parameter or the NCI Crown Radius Size Effect d parameter e DBH is the tree s DBH in cm Crowding Effect is calculated as CE exp n NCI where e CE is the crowding effect between 0 and 1 e nis the NCI Crown Radius Crowding Effect n parameter or the NCI Crown Depth Crowding Effect n parameter NCI is calculated as below NCI is calculated as where s N DBH F NOI Sy VA P Ser ennt I ok distance the calculation sums over j S species and k N neighbors of each species of at least a DBH of NCI Crown Radius Minimum Neighbor DBH or NCI Crown Depth Minimum Neighbor DBH in cm out to a distance of NCI Crown Radius Max Search Distance for Neighbors m or NCI Crown Radius Max Search Distance for Neighbors m a is the NCI Crown Radius Alpha parameter or the NCI Crown Depth Alpha parameter p is the NCI Crown Radius Beta parameter or the NCI Crown Depth Beta parameter yis the NCI Crown Radius Gamma parameter or the NCI Crown Depth Gamma parameter Aix is the NCI Crown Radius Lambda for Species X Neighbors parameter or the NCI Crown Depth Lambda for Species X Neighbors for the target species relative to the kth neighbor s species DBH is the DBH of the kth neighbor in cm DBH is the DBH of the target tree for which to calculate crown dimensions in cm distance is distance from target to neighbor in m DBH diameter at 10 cm relationship Seedlings use the d
217. first 16 foot log is subtracted from the DBH to see how much taper is left before the 60 merchantable height diameter is reached There is no formula that establishes clearly how many logs will fit the behavior uses a trial and error approach taken from Messavage and Girard 1956 This paper includes the table below for upper log taper for trees of various DBH and bole heights The behavior uses this table to determine the maximum number of logs it can fit into the taper available Trees below 10 inches of DBH have no volume Trees greater than 40 inches of DBH are treated like 40 inch trees oe DBH tree in 2d 2d 3d log log log 10 1 4 1 2 1 4 12 1 6 1 3 T 3 14 1 7 1 4 1 6 16 1 9 1 5 1 7 18 2 1 6 1 8 20 2 1 1 7 1 9 22 2 2 1 8 2 24 2 3 1 8 2 2 26 2 4 1 9 2 3 28 2 3 1 9 258 30 26 2 26 32 2 7 2 2 7 34 2 8 2 1 2 7 36 2 8 2 1 2 8 38 29 2 1 2 8 40 29 24 2 8 How to apply it 4 log tree 2d log 1 1 1 2 1 2 1 3 1 4 1 4 1 5 1 5 1 6 1 7 1 7 1 8 1 8 1 9 1 9 3d log 1 4 1 5 1 6 1 7 1 8 2 2 2 2 3 2 4 2 5 2 5 2 5 2 6 2 6 2 7 4th log 1 9 2 2 1 2 2 2 4 2 5 2 6 2 7 2 8 3 3 1 3 3 3 4 3 4 3 4 1 1 1 1 1 1 1 1 1 2 1 2 1 2 1 3 1 3 1 3 1 4 5 log tree 3d log 4th log 2 2 2 3 2 4 25 2 6 2 7 2 0 3 1 3 2 6 log tree 5th 2d 3d 4th Sth log log log log log 3 3 0 9 1 4 2 1 3 2 3 5 09 1 4 21 32 3 7
218. flow window If none of the behaviors with which a grid is associated are enabled then the grid won t show up in the list Save every X timesteps Choose how often in timesteps you want to save this grid s data The number saves every timestep The number 0 saves only the first and last timesteps Any other number X saves data every X timesteps For this grid save Choose the data to save for this grid Ctrl click to select multiple items For an explanation of what each grid s data is see the individual grid documentation Add Use the Add button once you have chosen your data and how often you wish to save it What s being saved This is a list of all of the save settings that are currently set up for all grids Remove If you would like to erase a setting select it in the What s being saved box and click Remove 25 Jan 2005 12 53 PM Summary output file setup window This window is reached from the Output setup window It allows you to set options for a summary output file Only one of these files may be saved per run What you save for output depends on what data you want to be available to you after the run For a list of data visualization options and what you need to save to use them see the Data Visualization topic Output File Name Enter your output file name here or choose the Browse button to navigate to a path If you do not enter a path the file may be hard to find after the run The extension that will b
219. g linear function Used by the Juvenile self thinning behavior Light Dependent Mortality Light dependent mortality Used by the GMF mortality and BC morality behaviors Logistic Bi Level Low Light a The a parameter used in low light conditions Used by the Logistic Bi Level Mortality behavior Logistic Bi Level Low Light b The b parameter used in low light conditions Used by the Logistic Bi Level Mortality behavior Logistic Bi Level High Light a The a parameter used in high light conditions Used by the Logistic Bi Level Mortality behavior Logistic Bi Level High Light b The b parameter used in high light conditions Used by the Logistic Bi Level Mortality behavior Logistic Bi Level High Light Mortality Threshold 0 100 The threshold between low light and high light parameters as a value between 0 and 100 Used by the Logistic Bi Level Mortality behavior Maximum DBH for Adult Self Thinning Maximum DBH at which adult self thinning applies Above this value no mortality occurs Used by the Adult self thinning behavior Mortality at Zero Growth Mortality rate at zero growth Used by the GMF mortality and BC morality behaviors NCI Crowding Effect Slope C The slope of the curve for neighbor effects Used in the NCI mortality behavior NCI Crowding Effect Steepness D The steepness of the curve for neighbor effects Used in the NCI mortality behavior NCI Max Radius of Crowd
220. g this feature is to set up some output files to view You can see more on individual chart types here so you can save the appropriate data for the charts you re interested in seeing For more on the output file types and how to set them up see either the summary files or the detailed output files topics 2 Once you have completed a parameter file for your run and have set up your output the next step is to create some output for SORTIE to analyze A simple way to do this is to click the Run one timestep button the one on the main window with two right facing triangles When SORTIE has completed the timestep the message bar at the bottom of the window will display a message indicating that the run has paused You can also run the model using Model gt Run from the main menu or the Run button with the single right facing arrow you can pause the run at any point to start viewing data 3 To view the output of the current run it is recommended that you first pause the run This ensures that the model is not trying to write new output to the files at the same time as it is trying to open them to be read Then click the View run output button SORTIE will load the output files from the current run and analyze them to determine what charts you can view 4 Open the charts you wish to view see Displaying the data from a file If a chart you want is not listed for any output file it means that the data it requires is not being saved You mus
221. ght Extinction Coeff of Medium Damage Trees 0 1 parameters Once GLI has been calculated the proportion of seeds that survive for a given species is calculated as If GLI lt GLI y LE 1 Sio GLI op GLD IfGLI GLI LE 1 If GLI gt GLlop LE 1 Sni GLI GLIsu e GLIis the GLI at the center of the Dispersed Seeds grid cell at the height in the Height in m At Which to Calculate GLI parameter e GLI is the GLI of Optimum Establishment 0 100 parameter e Sj is the Slope of Dropoff Below Optimum GLI parameter e Shi is the Slope of Dropoff Above the Optimum GLI parameter Once the proportion of seeds that survive at the given GLI has been calculated this value is multiplied by the number of seeds to reduce them by the proper amount The new reduced number of seeds is put back in the Dispersed Seeds grid How to apply it Apply this behavior to seeds of your desired species Any species to which it is applied must also have a Disperse behavior applied Storm damage is optional Behavior reference string Light Dependent Seed Survival Storm Light Dependent Seed Survival This behavior assesses seed survival as a function of the light level of the location in which a seed lands Light level calculations are performed by the Storm Light behavior This behavior is exactly like Light Dependent Seed Survival except for the method of light level calculation The effects of light levels on seed survival is graph
222. ght in cm This applies only to seedlings and saplings e Height The tree s height in meters e Crown Radius The tree s crown radius in meters Note that this value is updated only on an as needed basis This means that the value may show up as 1 meaning that the tree s crown radius was not requested this time step Also this value will almost certainly reflect the tree s size at the beginning of the timestep when crown dimension calculations are made rather than the end of the timestep as with the other tree dimensions This does not apply to seedlings e Crown Depth The tree s crown depth in meters The same warning applies as with crown radius This does not apply to seedlings e Age The time since death in years Only for snags Behavior specific data Certain sets of behaviors require additional information about a tree One of the ways in which behaviors communicate with one another is by defining new pieces of data for trees and then setting and reading values for those data A piece of data created by a behavior is only attached to those tree species and tree types to which the behavior is applied The name in parentheses is the name SORTIE uses e Light level Light Light level for the tree This could be GLI or percent shade if Sail Light is used This is created by any of the light behaviors except the Beer s Law light filter e Diameter growth Growth Amount of diameter growth per year in mm This is created by
223. growing season as a Julian day number between 1 and 365 Trees only get light during the growing season Used by all behaviors making GLI or Sail light calculations e GLI Points Input File The file containing the points for which to calculate GLI This file will overwrite any existing points For best results enter a fully qualified pathname i e c sortie my_file txt File format is below Used by the GLI Points File Creator behavior GLI Points Output File The file to which the GLI Points File Creator behavior will write its results each timestep Any existing data in this file will be overwritten at the start of the run Height at Which GLI is Calculated for GLI Map in meters Height at which the GLI Map Creator behavior calculates GLI Height at Which GLI is Calculated for Quadrats in meters Height at which the Quadrat based GLI light behavior calculates GLI Height of Fisheye Photo When a fish eye photo is simulated for a tree this positions the photo at either the top of the crown or at mid crown Applies to all behaviors making GLI or Sail light calculations Seedlings always get fisheye photos at top of crown no matter what this value is Height of Light Filter in m Height in meters at which the Beer s law light filter hangs Only applies to the Beer s law light filter behavior Last Day of Growing Season The last day of the growing season as a Julian day number between 1 and 365 Trees only get light during th
224. growth at full light in mm yr Used by the Logistic growth diam with auto height and Logistic growth diam only behaviors Logistic Asymptotic Height Growth Full Light in cm yr a Asymptotic annual growth at full light in cm yr Used by the Logistic growth height only behavior Logistic Diam Shape Param 1 b Shape parameter 1 Used by the Logistic growth diam with auto height and Logistic growth diam only behaviors Logistic Diam Shape Param 2 c Shape parameter 2 Used by the Logistic growth diam with auto height and Logistic growth diam only behaviors Logistic Height Shape Param 1 b Shape parameter 1 Used by the Logistic growth height only behavior Logistic Height Shape Param 2 c Shape parameter 2 Used by the Logistic growth height only behavior Lognormal Bi Level Max Growth in High Light m The maximum height growth in meters under high light conditions Used by the Lognormal bi level growth height only behavior Lognormal Bi Level Max Growth in Low Light m The maximum height growth in meters under low light conditions Used by the Lognormal bi level growth height only behavior Lognormal Bi Level X0 for High Light Growth The Xo parameter to use under high light growth conditions Used by the Lognormal bi level growth height only behavior Lognormal Bi Level X0 for Low Light Growth The X parameter to use under low light growth conditions Used by the Lognormal bi level growth h
225. gs count whether they were created by a tree or another mortality process Their age as a snag must also be less than the Storm Light Max Years Snags Affect Light parameter The GLA value can be used as is or it can be used as the mean in a PDF to introduce a stochastic element You can choose either Normal or Lognormal in the Storm Light Stochasticity parameter then supply a standard deviation in the Storm Light Standard Deviation parameter Using Deterministic as the stochasticity causes the GLA to be used as is How to apply it You do not need to apply this behavior to individual trees While it is recommended that you also include the Storm damage applier behavior in your run this is not required Behavior reference string Storm Light GLI Points File Creator behavior This behavior calculates GLI values for individual points in the plot How it works You provide as input a file that contains the list of points for which you would like GLI values The file is tab delimited text and has the following format X Y Height m 12 4 36 5 1 2 128 7 19 5 0 68 The first row is assumed to be a header row and is ignored Each subsequent row is a single point for which to calculate GLI You can include as many as you wish The first column is the point s X coordinate the second is the Y coordinate and the third column is the height above the ground in meters Name the file whatever you wish Put the file name for the p
226. h as disease Only adult trees become snags See below for more on how trees become snags e Woody debris Woody debris comes from fallen snags Currently no behavior uses woody debris and it is not actually created Tree life history stage transitioning growth and death Trees transition between life history stages as they grow When a seedling reaches the maximum height set for its species it becomes a sapling The diam value is converted to a DBH value which is then used to calculate the rest of the sapling s new dimensions Since height is re calculated with a different equation and input parameters there may be a discontinuity in height values right around the seedling sapling transition point If a species uses different allometric relationships for its saplings and adults another discontinuity may occur at the time of this transition as well For more on the allometric relationships and how they are calculated see the Allometry topic The automatic updating of these allometric relationships during the growth phase can be overridden For more see the Growth behaviors topic Death also produces tree life history stage transitions Behaviors can request to a tree population that a tree be killed How the tree population responds to this request depends on the type of tree the reason for death and the type of run The reasons why a tree is killed are natural causes harvest insects fire and disease there may not be behaviors
227. h has not yet reached adult status See the trees topic for more Parameter file A file with all of the settings and data needed to run SORTIE See the parameter file topic for more Partial cut A type of harvest Plot SORTIE s underlying dimensions See the plot topic for more Quadrat A small grid cell Recruitment The process by which seeds become seedlings Release When a suppressed juvenile tree is exposed to higher light conditions it is released Release is characterized by a rapid increase in growth rate See the growth behaviors topic for more Run The process of the model receiving input and performing calculations for a specified number of timesteps Synonymous with simulation Sapling A tree at least 1 35 meters in height with a DBH less than the minimum adult DBH See the trees topic for more Seedling A tree less than 1 35 meters tall See the trees topic for more Senescence The slight increase in tree mortality seen among very old very large trees See the mortality behaviors topic for more Short output file A type of output file which provides summary data for a run Synonymous with summary output file See the summary output file topic Silviculture Forestry science The management of tree harvesting and planting Simulation The process of the model receiving input and performing calculations for a specified number of timesteps Synonymous with run Stochastic Chaotic random Stochastic pr
228. h species is calculated as g m 1 g where Y is the proportion of that species seed that is eaten and pO is either the Neighborhood Predation Masting p0 or the Neighborhood Predation Non Masting p0 parameter for that species X is calculated as follows A Y p RBA n l where p is either the Neighborhood Predation Species i Masting pn or the Neighborhood Predation Species i Non Masting pn of species n and RBA is the relative basal are of species n The eaten seeds are removed from the Dispersed Seeds grid In order to make results more verifiable Neighborhood Seed Predation produces a grid called Neighborhood Seed Predation This grid stores the pre predation seed rain and amount of seeds eaten for each cell in the Dispersed Seeds grid This grid has no effect on calculations but can be saved in the output file for review How to apply it This behavior may be applied to seeds of any species Any species to which it is applied must also have a Disperse behavior applied as well Behavior reference string Neighborhood Seed Predation Neighborhood seed predation linked How it works This behavior is used together with the Functional response seed predation behavior linked behavior The two behaviors work together to model seed predation The actual amount of seed eaten is calculated by the Functional response seed predation behavior linked behavior This behavior then distributes the offta
229. hape of shading neighbor tree crowns is approximated by a 2D rectangle like a sail How light calculations work In order to calculate the amount of light a tree gets SORTIE simulates taking a fisheye photograph over each tree to determine which parts of the sky are blocked by taller trees nearby SORTIE determines how much light comes from different parts of the sky and takes this into account so shading neighbors in different directions will have different impacts on the total amount of light a tree gets The fisheye photo can be taken at one of two positions either at the top of the crown or at mid crown The major difference between the two is that when the photograph is taken at mid crown trees near the same height as the target tree will be included in the shading effects This can make a big difference in even age stands Sky Simulation At the beginning of a run if light behaviors are being used the amount of light coming from each part of the sky for the plot s location is calculated The sun s position in the sky is tracked throughout the growing season Diffuse radiation assumed to be isotropic coming equally from all directions is then added to the direct beam radiation Below the minimum solar angle it is assumed that no light comes from those portions of the sky because of the density of the surrounding forest It is wise not to set this angle too low otherwise SORTIE must look very far away for shading neighbors
230. hat they too receive or can get the source code And you must show them these terms so they know their rights We protect your rights with two steps 1 copyright the software and 2 offer you this license which gives you legal permission to copy distribute and or modify the software Also for each author s protection and ours we want to make certain that everyone understands that there is no warranty for this free software If the software is modified by someone else and passed on we want its recipients to know that what they have is not the original so that any problems introduced by others will not reflect on the original authors reputations Finally any free program is threatened constantly by software patents We wish to avoid the danger that redistributors of a free program will individually obtain patent licenses in effect making the program proprietary To prevent this we have made it clear that any patent must be licensed for everyone s free use or not licensed at all The precise terms and conditions for copying distribution and modification follow TERMS AND CONDITIONS FOR COPYING DISTRIBUTION AND MODIFICATION 0 This License applies to any program or other work which contains a notice placed by the copyright holder saying it may be distributed under the terms of this General Public License The Program below refers to any such program or work and a work based on the Program means either the Program or any deri
231. havior for simulating extremely competitive gap dynamics Stochastic gap growth e Snag size classes for the Weibull snag mortality behavior are now species specific Getting started with SORTIE In this document How does SORTIE work How do I start working with SORTIE How does SORTIE work It is important when starting with SORTIE to understand a little bit about how SORTIE works SORTIE is a program designed to simulate the life cycles of individual trees and assess the impacts of various external events on them SORTIE does this by creating individual virtual trees and allowing certain processes chosen by the user to act on these trees These processes are called behaviors and usually correspond to biological processes For instance a simulation might consist of three behaviors a behavior to calculate light levels for trees one to determine the amount of tree growth as a result of the amount of light and one to select trees to die if they grow too slowly The behaviors have a certain order in which they act When all of the behaviors have acted once that s a single timestep The process is repeated for the number of timesteps that you set and that s a single simulation or run Different species have different requirements of course and trees undergo different processes at various points within their life cycle Behaviors can be applied to very specific tree subsets and you can use different versions of a similar beh
232. havior works exactly like the NCI growth diam with auto height behavior to calculate an amount of diameter increase How to apply it This behavior can be applied to saplings and adults of any species It cannot be applied to seedlings If the Shading Effect term is activated in the growth equation then the trees to which this behavior is applied must also have a light behavior applied the Sail light behavior is the one designed to work with the NCI behavior The use of any other light behavior is at your own risk If any storm damage parameters are set to anything other than 1 it is recommended but not required that you have the Storm damage applier behavior applied Behavior reference string ncigrowth diam only Basal area NCI growth diam with auto height This behavior uses the effects of neighbor competitiveness to influence growth rates NCI stands for neighborhood competition index In this case the NCI is based on the basal area of neighboring trees A tree s maximum potential growth rate is reduced due to competitiveness and several other possible factors How it works For a tree the amount of growth per year is calculated as Growth Max Growth Size Effect Crowding Effect Max Growth is the maximum diameter growth the tree can attain in cm yr entered in the NCI Maximum Potential Growth cm yr parameter Size Effect and Crowding Effect are factors which act to reduce the maximum growth rate and will vary de
233. he number of years per timestep e tis the Post Harvest Growth Time Since Harvest Rate Param parameter Annual radial growth ARG is used to calculate timestep diameter growth using DG ARG t 2 10 where f is the number of years per timestep Model forms are based on those in Thorpe et al in review For Ecol Manage How to apply it This behavior can be applied to saplings and adults of any species Behavior reference string lagged post harvest growth or lagged post harvest growth diam only Last updated 03 Jun 2009 02 40 PM Mortality behaviors In this document Mortality parameters Adult Self Thinning Adult Stochastic Mortality Aggregated Mortality BC Mortality Browsed Stochastic Mortality Competition Mortality Density Self Thinning Mortality Exponential Growth and Resource Based Mortality GMF Mortality Growth and Resource Based Mortality Height GLI Weibull Mortality with Browse Juvenile Self Thinning Juvenile Stochastic Mortality Logistic Bi Level Mortality NCI Mortality Post Harvest Skidding Mortality Senescence Stochastic Bi Level Mortality Weibull Snag Mortality The mortality behaviors cause tree death due to natural life cycle causes and competition Tree death due to disturbance is covered by other behaviors Mortality behaviors do not actually remove dead trees from memory They set a flag which marks trees as dead This is because some other behaviors such as the Su
234. he possibility of two sets of parameters for each species one for high light conditions and one for low light conditions This can also be used alone without the light levels How it works The equation used by this behavior to increment growth is Y a b diam T where e Y amount of diameter growth in cm e a growth intercept in high light conditions this is the Linear Bi Level Intercept for High Light Growth a parameter in low light conditions this is the Linear Bi Level Intercept for Low Light Growth a parameter e b growth slope in high light conditions this is the Linear Bi Level Slope for High Light Growth b parameter in low light conditions this is the Linear Bi Level Slope for Low Light Growth b parameter e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults e T number of years per timestep Light levels come from the Storm Light grid produced by the Storm Light behavior The threshold between the use of high light and low light parameters is set in the Linear Bi Level Threshold for High Light Growth 0 100 parameter This behavior can also be used without Storm Light In this case only the low light growth parameters are used How to apply it This behavior can be applied to seedlings saplings and adults of any species If you wish to use the light level parameter switch also use the Storm Light behavior Behavior reference string linear bilevel growth
235. he size dependent annual growth potential Used by the Logistic growth w size dependent asymptote height only behavior e Slope of Growth Response S Slope of the Michaelis Menton growth function at zero light for relative and absolute growth behaviors S in the equations below Used in absolute and growth behaviors e Slope of Height Growth Response S Slope of the Michaelis Menton growth function at zero light S in the equations below Used in the Relative growth height only behavior e Years Exceeding Threshold Before a Tree is Suppressed The number of years for which a tree s growth must be below the defined suppression threshold before it is considered to be suppressed Used in absolute growth behaviors Relative growth behaviors Several behaviors apply a relative growth version of the Michaelis Menton function Relative growth is calculated with the equation jx A Its 4 ra ery AS GLI vo TJ tod where e Yis the amount of annual relative growth e Ais the Asymptotic Diameter Growth A or Asymptotic Height Growth A parameter e Sis the Slope of Growth Response S or Slope of Height Growth Response S parameter e GLI is the global light index calculated by a light behavior Diameter growth is compounded over multiple timesteps with the equation G Y 1 1 dian where e Gis the amount of diameter growth for the timestep in cm e diam is the diameter of the tree in cm at 10 cm height i
236. height is tree height in meters e ais the Slope of Height Diameter at 10 cm Relationship parameter e diamyjo is tree diameter at 10 cm height in cm The linear diameter height relationship The linear diameter height relationship is the same for all life history stages but each stage can use a different set of parameter values The linear diam height function is height a b diam where e height is tree height in m e ais the appropriate linear intercept parameter either Adult Linear Function Intercept Sapling Linear Function Intercept or Seedling Linear Function Intercept e bis the appropriate linear slope parameter either Adult Linear Function Slope Sapling Linear Function Slope or Seedling Linear Function Slope e diam is DBH in cm for saplings and adults or diam jo in cm for seedlings The reverse linear diameter height relationship The reverse linear diameter height relationship is the same for all life history stages but each stage can use a different set of parameter values The name comes from the fact that it is almost the same as the linear function but with height and diameter switched In other words in the linear function height is a linear function of diameter In the reverse linear function diameter is a linear function of height The reverse linear diam height function 1s height diam a b where e height is tree height in m e ais the appropriate reverse linear intercept paramete
237. hem You can reset axis ranges and zoom in and out You can save the graph as a separate image file in PNG format by choosing Save As and you can also send the graph to a printer Extracting the data to perform your own analyses If you want to perform your own analysis of the data in a detailed output file you can translate it into tab delimited text files that you can then open with a spreadsheet See the topic detailed output files for instructions on how to do this Line graphs You can produce several kinds of line graphs Four kinds of line graphs absolute density relative density absolute basal area and relative basal area can be produced from either summary output files or detailed output output files If you know you want to look at these graphs you should save a summary output file The graphing performance will be significantly better Another set of line graphs absolute volume and relative volume can be created via the detailed output file If you are saving a summary output file and have defined subplot areas the line graphs will also be available for each subplot in addition to the whole plot Subplots are not available in detailed output files In order to view basal area and density graphs from a summary output file save data for each kind of graph you want to see in the Summary output setup window To view these graphs from a detailed output output file save the DBH tree data member for saplings adults or snags
238. here e Q is the relative neighborhood density at distance x to Ax for a species e N is the total number of conspecific neighbors for that species found between x and Ax e Tis the total number of saplings and adults of that species in the plot e A is the area of the ring x Ax e denis the total plot density for trees of that species The size of the distance increment x is given in the Relative Neighborhood Density Distance Increment m parameter The maximum distance out to which to calculate Q is given in the Relative Neighborhood Density Maximum Distance m parameter Only saplings and adult trees are included in calculations The resulting Q values are stored in the Relative Neighborhood Density grid How to apply it Add this behavior to your run There is no need to apply it to specific tree species or types Indeed any such specifications will be ignored This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup window will list the Relative Neighborhood Density grid Save all the data members of this grid You can then view the Q values as a line graph and use the graph to save the values as a text file Behavior reference string Condit s Omega Ripley s K Calculator This behavior calculates the Ripley s K function for all trees in the plot as well as for the members of each species How it works The Ripley s K function is a measure of
239. here e Y amount of diameter increase in mm e a Simple Linear Diam Intercept in mm yr a parameter e b Simple Linear Diam Slope b parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep After applying the amount of diameter increase tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string simple linear growth Linear growth diam only How it works This behavior calculates an amount of diameter growth as Y a b GLI T where e Y amount of diameter increase in mm e a Simple Linear Diam Intercept in mm yr a parameter e b Simple Linear Diam Slope b parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height only growth behavior applied Behavior reference string simple linear growth diam only Linear growth w exponential shade reduction height only How it works This behavior calculates an amount
240. hich makes it specifically for juvenile trees the name is to match existing SORTIE conventions How it works Self thinning uses a simple linear function of probability of mortality as a function of DBH After evaluating this function for a tree it uses a random number to determine whether the tree dies How to apply it This behavior can be applied to seedlings saplings and adults of any species Behavior reference string juvselfthin Juvenile stochastic mortality This behavior produces a background mortality rate Individuals within the pool of trees to which this behavior applies are randomly selected to die There is nothing about this behavior which makes it only applicable to juveniles The name conforms to old SORTIE standards and allows it to be distinguished from the Adult stochastic mortality behavior so that two different rates can be applied to two different groups of trees How it works For each tree a random number is compared to that species s Juvenile Background Mortality Rate parameter to determine if it falls in the pool of trees that die How to apply it This behavior can be applied to seedlings saplings and adults of any species Behavior reference string juvstochasticmort Senescence Senescence mortality provides for an uptick in mortality rates It is meant to slightly increase the death rate among large adult trees How it works All trees to which senescence is applied are evaluated for senescen
241. ht Filter in m parameter This filter behavior can be used to for instance replicate the effects of an herbaceous layer in reducing light to young seedlings The height of the filter is randomized slightly each time the thickness of the filter over the light point is calculated to introduce a stochastic element Trees can be given a respite from the effects of the filter This behavior does not set the respite counter but it will respect any values which another behavior has put in Trees can be given a rooting height in addition to their normal height This value is added to their existing height to get their effective height which is what will be applied when determining the thickness of the filter overhead Again this behavior does not set this height but will use it if another behavior sets it This behavior DOES NOT ACTUALLY CALCULATE LIGHT LEVELS Any tree species and types to which this filter is applied must also have one of the other light behaviors assigned to it This behavior assumes the value is a GLI value using Sail Light will probably not produce good results This behavior only affects tree types and species to which it is applied in the behavior list of the parameter file It will ignore all other trees even if they are short enough to be beneath the filter level How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string light filter Constant GLI Ho
242. ht behavior as well as the Quadrat based light behavior if a different value is not specified for it Number of Altitude Sky Divisions for GLI Map Creator Calculations Number of grid cells into which the sky is divided from horizon to zenith for the purpose of calculating light direction Used by the GLI Map Creator behavior If the GLI light behavior is also used this value is not required Number of Altitude Sky Divisions for GLI Points Creator Number of grid cells into which the sky is divided from horizon to zenith for the purpose of calculating light direction Used by the GLI Points File Creator behavior If the GLI light behavior is also used this value is not required Number of Altitude Sky Divisions for Quadrat Light Calculations Number of grid cells into which the sky is divided from horizon to zenith for the purpose of calculating light direction Used by the Quadrat based light behavior If the GLI light behavior is also used this value is not required Number of Azimuth Sky Divisions for GLI Light Calculations Number of grid cells into which the sky is divided around the horizon for the purpose of calculating light direction Used by the GLI light behavior as well as the Quadrat based light and GLI Map Creator behaviors if different values are not specified for them Number of Azimuth Sky Divisions for GLI Map Creator Calculations Number of grid cells into which the sky is divided around the horizon for the purp
243. iam only and Logistic growth w size dependent asymptote diam with auto height behaviors Size Dep Logistic Diam Shape Param 1 c Shape parameter 1 for shade reduction of annual growth Used by the Logistic growth w size dependent asymptote diam only and Logistic growth w size dependent asymptote diam with auto height behaviors Size Dep Logistic Diam Shape Param 2 d Shape parameter 2 for shade reduction of annual growth Used by the Logistic growth w size dependent asymptote height only and Logistic growth w size dependent asymptote diam with auto height behaviors Size Dep Logistic Diam Slope b Slope of the size dependent annual growth potential Used by the Logistic growth w size dependent asymptote diam only and Logistic growth w size dependent asymptote diam with auto height behaviors Size Dep Logistic Height Intercept a Intercept of the size dependent annual growth potential Used by the Logistic growth w size dependent asymptote height only behavior e Size Dep Logistic Height Shape Param 1 c Shape parameter 1 for shade reduction of annual growth Used by the Logistic growth w size dependent asymptote height only behavior e Size Dep Logistic Height Shape Param 2 d Shape parameter 2 for shade reduction of annual growth Used by the Logistic growth w size dependent asymptote height only behavior e Size Dep Logistic Height Slope b Slope of t
244. iameter at 10 cm as their primary indicator of size and have no DBH Saplings use both DBH and diamjo The use of both measurements by saplings helps to maintain continuity between the seedling and adult life history stages Adults use only DBH DBH and diam are related as follows where DBH diamjo R I DBH is the DBH in cm diam jo is the diameter at 10 cm height in cm R is the Slope of DBH to Diameter at 10 cm Relationship parameter Iis the Intercept of DBH to Diameter at 10 cm Relationship parameter The standard diameter height relationships Standard is one of the names used to describe a set of allometric functions relating height to diameter There is one for adults and saplings and one for seedlings These are called standard because they were the original SORTIE functions and until recently were the only choices The standard sapling and adult DBH height function is height 1 35 H 1 35 1 e P Pe where e height is tree height in meters e H is the Maximum Tree Height in m parameter e Bis the Slope of Asymptotic Height parameter e DBH is tree DBH in cm In some articles B Slope of Asymptotic Height is a published parameter Other articles instead use H and another parameter H2 which was called the DBH to height relationship In this case B can be calculated from published values as B H yHij The standard seedling diamjo height function is height 0 1 30 1 e m 7 where e
245. ic Diam Shape Param 2 d parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults Assume that the number of years per timestep is X In order to find the total amount of diameter increase for a timestep the logistic growth equation is calculated X times with the diameter incremented by the amount of diameter increase for the previous year The total diameter increment is the sum of the X individual diameter increments After applying the amount of diameter increase tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string size dependent logistic growth Logistic growth w size dependent asymptote diam only How it works This behavior calculates annual diameter increases as a b Y diam isee CALI J where e Y amount of diameter increase in mm e a Size Dep Logistic Diam Intercept a parameter e b Size Dep Logistic Diam Slope b parameter e c Size Dep Logistic Diam Shape Param 1 c parameter e d Size Dep Logistic Diam Shape Param 2 d parameter e GLI global light index as a percentage between 0 and 100 calculated by a light
246. ic covers the additions you can make to a parameter file For more on how to create a basic parameter file from scratch see the topic Creating a parameter file Otherwise you can start with an existing parameter file and modify it A basic parameter file has the tree population list of species defined the run behaviors list assembled and the parameters entered Once that s complete here s some extra additions you might make Output Tree maps Grid setup Replicating a point in another run Output A basic parameter file creates no output by default You can perform a run with it but you will not be able to see any of the results since SORTIE ND s data visualization can only occur on run output There are two kinds of output files summary output files and detailed output files You can set up either or both of these using the Edit gt Output options menu command from the main SORTIE ND window Tree maps You can set up an initial tree population using density values in size classes using the Parameters window You can also input a known list of trees in a tree map using the File gt Open file command There are two kinds of tree maps those from detailed output files and those you create directly in tab delimited text For more on entering the maps from a detailed output file the most likely source see the detailed output file topic For more on the tab delimited tree map file format see the tab delimited tree map topic You
247. ide Bark Constant a1 parameter e dis the Diameter Outside Bark First Degree Parameter a2 parameter e azis the Diameter Outside Bark Second Degree Parameter a3 parameter Important note The math in this behavior is particularly susceptible to producing extreme numbers if the parameters are not chosen very carefully These extreme numbers incredibly large or small numbers will crash SORTIE if they happen and cannot be guarded against ahead of time Be very careful when selecting parameters and test your parameters to ensure they produce sensible results for a wide range of tree sizes If you have problems with SORTIE crashing try verifying that this behavior is the problem by removing it from the run and trying again If you can verify that this behavior is the problem carefully re examine your parameters How to apply it Apply this behavior to saplings adults or snags of any species and enter parameters in the Parameter edit window This behavior does not automatically create output Once you have added this behavior to your run the Detailed output setup window for trees will have a tree data member called Tree Volume Add this to your detailed output file to output volume in cubic meters You can then view charts and graphs with the resulting volume data using data visualization on your detailed output file Behavior reference string tree volume calculator Last updated 11 Dec 2008 03 22 PM Grids In this document Def
248. ight Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Years Respite from Fern Shading for Seeds on Fresh Logs The maximum number of years that seeds can get respite from fern shading as implemented by the Beer s law light filter behavior Used by the Establishment with Microtopography behavior Proportion Germinating Between 0 and 1 The proportion of seeds of a species that survive germination as a value between 0 and 1 Used by the Proportional Seed Survival behavior Proportion of Plot Area that is Mound The proportion of plot area that is mound area as opposed to ground area Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Slope of Density Dependence The slope of the density dependence function for determining how many seedlings establish per square meter c in the equations below Used by the Density Dependent Seed Survival behavior Slope of Dropoff Above the Optimum GLI The slope of the line describing the drop off in seedling survival as a function of GLI above the optimum GLI Used by the Light Dependent Seed Survival behavior Slope of Dropoff Below Optimum GLI The slope of the line describing the dropoff in seedling survival as a function of GLI below the optimum GLI Used by the Light Dependent Seed Survival behavior Steepness of Density Dependence The steepness of the density dependence function for determining how many seedli
249. ile you can view the contents of this grid as a table using SORTIE s data visualization system Data in the grid There is one of these for each storm event Data member name Description Storm Severity The severity of the storm that occurred between 0 and 1 Basal Area Dead For Species X The basal area killed in this storm for Species X Density Dead For Species X The number of stems killed in this storm for Species X Years Since Last Harvest This grid is created by the Lagged post harvest growth and Post Harvest Skidding Mortality behaviors Each grid cell holds the time since a harvest last occurred in that cell The grid cell resolution defaults to 8 m X 8 m You can set whatever new resolution you wish Data in the grid Data member name Description Time Time since last harvest LastUpdated The timestep the grid was last updated Last updated 08 Jun 2009 09 20 AM The parameter file In this document What is a parameter file Contents of a parameter file Editing a parameter file Validating a parameter file Making a human readable copy of the parameter file What is a parameter file A parameter file is a document containing all the data that the model needs to perform a simulation It is in the XML data format and is written in plain text Parameter files have a xml extension Contents of a parameter file A parameter file is as long as it needs to be depending on how you want to set up your run At
250. ility in height diameter ratio that was developed Suddenly all trees with the same diameter will have the same height again and vice versa This means that individuals may suddenly jump in height or even shrink The Allometric height growth and allometric diameter growth behaviors were developed to help bridge this gap When used with a behavior that only increments diameter or height they will preserve height or diameter differences that have developed across individuals in a species Growth parameters e Adult Constant Area Growth in sq cm yr The constant amount of basal area by which to increase a tree s basal area Used in basal area increment limited behaviors and constant basal area growth behaviors Adult Constant Radial Growth in mm yr The constant value by which to increase a tree s radius at breast height Used in radial increment limited growth behaviors and constant radial increment behaviors Asymptotic Diameter Growth A Asymptote of the Michaelis Menton growth function at high light in absolute and relative growth behaviors A in the equations below Used in absolute and relative growth behaviors Asymptotic Height Growth A Asymptote of the Michaelis Menton growth function at high light A in the equations below Used in the Relative growth height only behavior Basal Area NCI BA Divisor The value by which to divide neighbor basal area Used in the Basal area NCI growth behaviors Basal Area NCI Use Only Large
251. inds of substrate are thus the same on mound and non mound areas The seeds in the Dispersed Seeds grid cell are then divided up among the substrate types in that cell according to their proportions relative to each other so if 60 of the cell area is mound forest floor moss that s the substrate type that 60 of the seeds land on A seedling is created from each seed Seedlings are randomly placed within their seed grid cell area and have a slightly randomized value of New seedling diameter at 10 cm Each seedling then gets a rooting height according to the substrate type upon which it has germinated If it has germinated on fresh logs its rooting height is a random number drawn from a normal distribution controlled by the Mean Height of Fresh Log Substrate in m and Standard Deviation of Fresh Log Substrate Height in m parameters no distinction is made between mound and non mound fresh logs If it s on a mound substrate its rooting height is a random number drawn from a normal distribution controlled by the Mean Height of Mounds in m and Standard Deviation of Mound Height in m parameters If it s on a non mound substrate its rooting height is zero If a seedling germinates on fresh log it has the chance of getting a respite from the effects of the Beer s law light filter behavior which it expects to simulate fern shading Fallen logs crash through the fern layer and it takes a while for the ferns to grow back over the top of the log
252. ing snag decay and fall e The new behavior Random browse simulates herbivory e The new Browsed relative growth behaviors simulate the effects of herbivory on tree growth e The new Browsed Stochastic Mortality behavior simulates the effects of herbivory on tree mortality e The new Masting spatial disperse behavior simulates periodic masting in seed dispersal e The new Neighborhood seed predation behavior simulates seed predation as a function of neighborhood and recent masting events e The addition of browse to Height GLI Weibull Mortality with Browse allows this behavior to simulate the effects of herbivory on tree mortality e The new analysis behaviors Storm Killed Partitioned DBH Biomass and Storm Killed Partitioned Palm Biomass allow the tracking of biomass killed in storm events e You can copy a species including all its behaviors and parameters using the Tree setup window e You can change the order of species using the Tree setup window e The Storm disturbance behavior now includes optional cyclicity in storm patterns e The Storm Light behavior now uses a proportion of trees with damage instead of a straight count when figuring light levels e The Basal Area Light behavior now searches a neighborhood with a defined radius rather than just the trees within a grid cell Minor changes and bug fixes e Hovering the mouse over a cell in a grid map will cause the value at that point to be displayed e You can now remo
253. ing Linear Function Intercept The intercept of the seedling linear function for DBH and height Seedling Linear Function Slope The slope of the seedling linear function for DBH and height Seedling Reverse Linear Function Intercept The intercept of the seedling reverse linear function for DBH and height Seedling Reverse Linear Function Slope The slope of the seedling reverse linear function for DBH and height Slope of Asymptotic Crown Height Slope of the standard equation for determining crown depth Slope of Asymptotic Crown Radius Slope of the standard equation for determining crown radius Slope of Asymptotic Height Exponential decay term in the adult and sapling standard function for DBH and height Slope of DBH to Diameter at 10 cm Relationship The slope of the linear relationsip between the DBH in cm and the diameter at 10 cm height in cm in small trees Used by all species Slope of Height Diameter at 10 cm Relationship The slope of the seedling standard function for diameter at 10 cm and height The standard crown depth and radius relationships Crown radius is calculated as rad C DBH rad is the crown radius in meters C is the Slope of Asymptotic Crown Radius parameter is the Crown Radius Exponent parameter DBH is the tree s DBH in cm Crown radius is limited to a maximum of 10 meters Crown depth is calculated as ch C2 height h where ch is the distance from
254. ing Neighbors in m The maximum distance from a target tree at which neighbors can have a competitive effect Used in the NCI mortality behavior NCI Max Survival Probability 0 1 The maximum annual probability of survival as a value between 0 and 1 Used in the NCI mortality behavior NCI Minimum Neighbor DBH in cm The minimum DBH for trees of that species to compete as neighbors Used for all neighbor species not just those using NCI mortality Used in the NCI mortality behavior NCI Neighbor DBH Effect alpha The effect of the DBH of a neighbor tree on its competitiveness for a target species Used in the NCI mortality behavior NCI Neighbor Distance Effect beta The effect of the distance of a neighbor tree on its competitiveness for a target species Used in the NCI mortality behavior NCI Neighbor Storm Damage eta Complete 0 1 The fraction to which a neighbor s competitive effect is reduced when the neighbor has sustained complete storm damage Used in the NCI mortality behavior NCI Neighbor Storm Damage eta Medium 0 1 The fraction to which a neighbor s competitive effect is reduced when the neighbor has sustained medium storm damage Used in the NCI mortality behavior NCI Shading Effect Coefficient m The coefficient in the shading effect equation Set this value to 0 if you do not wish to use shading Used in the NCI mortality behavior NCI Shading Effect Exponent n The exponent in the shading effect equation If you
255. ing the basal area composition of the neighborhood when in linked mode Used by the Neighborhood seed predation behavior linked behavior Functional response seed predation This behavior simulates functional response seed predation where the number of predators is a function of the amount of food that has been consumed Since seed predator life cycles are often very short this behavior runs as a mini model within the context of the larger simulation It simulates weekly timesteps of seed fall seed consumption and predator response for as much of the year as the user desires The mini model simulates a single year which starts at the beginning of seed fall It is possible to define two seasons during the year with different parameters for seed consumption All species are assumed to drop seeds at the same time at a constant rate You set the number of weeks that seedfall should occur Once seedfall is over there are no new additions to the predator food pool There is then an optional period of germination in which the food pool of seeds is further reduced by some proportion of those remaining seeds germinating into seedlings seedlings cannot be eaten Once the model has finished running the leftover seeds that were not consumed by predators or those seeds that escaped through germination are available as input to the Establishment behaviors How it works The behavior s mini model begins with the number of seeds of each speci
256. ings and saplings for trees e The establishment behaviors have been restructured allowing you to mix and match seed survival effects e The Storm damage applier behavior can create tip ups from storm killed trees e New harvest behavior Selection harvest that allows SORTIE ND to decide when to perform harvests based on target basal area levels e New behavior GLI Points File Creator which calculates GLI at certain specific points e New light behavior Storm Light behavior that uses storm damage as a proxy for finding light levels e New growth behavior Puerto Rico semi stochastic growth e New growth behavior Linear bi level growth that can grow trees with two sets of parameters based on light level e New growth behavior Lognormal bi level growth that can grow trees with two sets of parameters based on light level e New mortality behavior Logistic Bi Level Mortality that can use two sets of parameters based on light level e NCI growth and NCI Mortality now each have a flag for whether or not to include snags in NCI calculations e Refinement of substrate dynamics for snags allowing them to tip up at different rates from live trees Version 6 03 released April 6 2005 New in version 6 03 e New function form for the NCI Mortality behavior e New mortality behavior which calculates mortality as a function of neighbor density the Density Self Thinning Mortality behavior e New format for tab delimited tr
257. inimize the model s memory requirements and maximize its speed If you have a set of behaviors that work together and you are defining cell sizes for multiple grids picking even multiples of a number for different grids such as 2 4 8 will help maximize the efficiency of data transfer between them Viewing and using grid maps During the simulation the model can write out a grid map the data in a grid into a detailed output file You can choose what you would like saved from a grid by using the Output setup window Things you can do with grid maps e Look at graphical representations of grid maps To do this use the model s data visualization capabilities e Use them as initial conditions Since grid values help represent the internal state of the model you can add grid maps to a parameter file for use as initial conditions on another run For more information see Adding to a parameter file e Look at the values edit them and print them out To do this use the Grid setup window 25 Jan 2005 01 02 PM Grid list In this document Average Light grid Basal Area Light grid Carbon Value grid Competition Harvest Results grid Detailed Substrate grid Detailed Substrate calcs grid Dispersed Seeds grid Foliar Chemistry grid Gap Light grid GLI Map grid Harvest Results grid Merchantable Timber Value grid Mortality Episode Results grid Neighborhood Seed Predation grid Partitioned Biomass grid Planting Results g
258. ining grid cell size Viewing and using grid maps A grid is a structure for holding model data that varies across space You can picture a grid by thinking of a spreadsheet Each cell in the spreadsheet holds a distinct value which is identified by location coordinates row and column numbers Behaviors use grids to store data and to share it between behaviors Defining grid cell size Grids are always exactly the same size as the plot Grids have an X and a Y axis which match the orientation and size of the plot s axes Each cell within the grid is a rectangle with a separate X and Y size If the chosen grid cell sizes do not divide evenly into the X and Y plot lengths the length of the cells in the last rows in each direction will be the remainder value Grids can and usually do carry more than one value per cell Grid cell size applies to all values in the grid The amount of memory required for a grid cell is proportional to the number of total values it holds which is the number of values per cell multiplied by the number of cells For most grids you can define the size of the cells in the X and Y directions by using the Grid setup window You do not have to choose the size of a grid s cells all grids have default values However there are times when it makes sense to adjust these values When choosing a cell size you should pick the largest possible value that adequately captures the resolution of the process being modeled to m
259. ion is P Mmax exp a H C GLI where e p annual probability of mortality Mya the Height GLI Weibull Max Mortality 0 1 or Height GLI Weibull Browsed Max Mortality 0 1 parameter e a the Height GLI Weibull a or Height GLI Weibull Browsed a parameter e b the Height GLI Weibull b or Height GLI Weibull Browsed b parameter e c the Height GLI Weibull c or Height GLI Weibull Browsed c parameter e d the Height GLI Weibull d or Height GLI Weibull Browsed d parameter e H tree height in meters e GLI light level between 0 and 100 of full sun If the timestep length is not one year the actual probability of mortality for the timestep is calculated as p 1 1 p where p is the annual probability of mortality p is the timestep probability of mortality and T is the number of years per timestep Once the mortality probability for the timestep is known for a tree then a random number is compared to this probability to determine if the tree lives or dies Light levels can come from any of the light behaviors that directly assign a tree its light level It is expected that this is a GLI value from 0 to 100 of full sun Whether or not a tree is browsed is determined by the Random browse behavior If the Random browse behavior does not apply to a tree or is not present in the run the unbrowsed parameters are always used The other parameters can be ignored How to apply it This behavior c
260. ion to per hectare amounts The grid cell resolution is set to 8 m X 8 m You can change this to whatever you wish The grid is shared by the two behaviors mentioned above so changing it for one changes it for both Data in the grid Data member name Description Mg Leaf Biomass for species X Amount of storm killed leaf biomass for species X in Mg Mg Bole Biomass for species X Amount of storm killed bole biomass for species X in Mg Amount of storm killed branch biomass for species X in Mg Branch Biomass for species X Mg Mg Leaf Palm Biomass for species Amount of storm killed palm leaf biomass for species X X in Mg Mg Bole Palm Biomass for species Amount of storm killed palm bole biomass for species X X in Mg Storm Light This grid is created by the Storm Light behavior Each grid cell holds a light level value The grid cell resolution defaults to 8 m X 8 m You can set whatever new resolution you wish Data in the grid Data member name Description Light The light level as calculated by the Storm Light behavior Storm Susceptibility This grid is created by the Storm disturbance behavior Each grid cell holds a storm susceptibility index between 0 and 1 The grid resolution default is 8 m X 8 m You can change this to whatever you wish but if you are also using the grid Storm Damage the resolutions must match Data in the grid Data member n Description name T A storm damage susceptibility for each c
261. ion to which it is applied must also have a height only growth behavior applied If you wish to use the light level parameter switch also use the Storm Light behavior Behavior reference string linear bilevel growth diam only Lognormal bi level growth height only This behavior increments growth according to a simple linear equation with the possibility of two sets of parameters for each species one for high light conditions and one for low light conditions This can also be used alone without the light levels How it works The equation used by this behavior to increment growth is where e Y amount of height growth in m e MG maximum growth in meters in high light conditions this is the Lognormal Bi Level Max Growth in High Light m parameter in low light conditions this is the Lognormal Bi Level Max Growth in Low Light m parameter e Xo in high light conditions this is the Lognormal Bi Level X0 for High Light Growth parameter in low light conditions this is the Lognormal Bi Level X0 for Low Light Growth parameter e X in high light conditions this is the Lognormal Bi Level Xb for High Light Growth parameter in low light conditions this is the Lognormal Bi Level Xb for Low Light Growth parameter e H tree height in meters e T number of years per timestep Light levels come from the Storm Light grid produced by the Storm Light behavior The threshold between the use of high light and low light para
262. ior must be used in the run Behavior reference string No Gap Substrate Seed Survival Substrate Dependent Seed Survival With Gap Status This behavior assesses seed survival as a function of both the substrate composition of the grid cells in which seeds land and the cells forest cover gap or canopy This behavior allows for different germination favorability for substrates under the two forest covers How it works The behavior takes the substrate composition of each grid cell in the Substrate grid and converts it into a single number for each species called the substrate favorability index The favorability index is the sum of the proportions of each substrate multiplied by the proportion of seeds that germinate on that substrate under that cell s cover canopy or gap This index represents the proportion of total seeds of that species that are expected to survive in that area of the plot This index is stored in the grid Substrate Favorability The behavior then goes through each grid cell in the Dispersed Seeds grid and assesses the survival for the seeds of those species to which it applies This behavior starts by giving each seed a random temporary location within the Dispersed Seeds grid cell Then it retrieves the substrate favorability at that point from the Substrate Favorability grid It then compares a random number to the substrate favorability to determine whether the seed lives This method ensures that we can assess subst
263. ior uses a Weibull function to determine the number of snags of a certain age left standing at a given time The equation is f wm C _ a l A g where e Sis proportion of snags still standing between 0 and 1 e aand b are Weibull parameters Weibull Annual a Parameter for Snag Size Class X Mortality parameter and Weibull Annual b Parameter for Snag Size Class X Mortality parameter e Tis the snag age in years Different sizes of snags fall at different rates This behavior allows you to define three snag size classes and enter different a and b parameters for each A random number is used against this equation for a given tree to determine if it falls in the current timestep How to apply it This behavior can be applied to snags of any species Behavior reference string weibull snag mortality NCI mortality This behavior uses the effects of neighbor competitiveness to influence tree survival NCI stands for neighborhood competition index A tree s maximum potential probability of survival is reduced due to competitiveness and several other possible factors You can use certain parameter values to turn these influences on and off to reflect the conditions appropriate for your run How it works For a tree the annual probability of survival is calculated as Prob Survival Max Survival Size Effect Shading Effect Crowding Effect Storm Effect Max Survival is the NCI Max Survival Probability 0 1
264. ior using method one with a behavior using method three the height incrementing behavior will be ignored When incrementing a tree s diameter with new growth seedlings and saplings have the amount of growth increase applied to their diameter at 10 cm Adults have the amount applied to their DBH For more on tree types and their measurements see the trees topic For more on tree size relationships including how trees transition between life history stages see the allometry topic Note All behaviors convert growth to diameter growth in cm for internal consistency The equations below reflect this Some behaviors may take parameters in mm or for radial growth Take careful note of your behavior s parameters It is important to be careful when mixing different growth methods for different life history stages of a tree species For instance if tree seedlings or saplings get separate diameter and height increments then their diameters and heights will be uncoupled This means that you cannot use one of the size dimensions to predict the other through an allometric equation Trees with the same diameter will have different heights and vice versa Say that you do not have data on separate diameter and height growth for adults so you assign the adults to a behavior that increments diameter and then automatically updates height according to the allometry equations You are likely to notice strange results for new adult trees You will lose the variab
265. ith auto height Absolute growth limited to basal area increment behavior diam only Non limited absolute growth behavior diam with auto height Non limited absolute growth behavior diam only Allometric diameter growth diam only Allometric height growth Basal area NCI growth diam with auto height Basal area NCI growth diam only Constant basal area growth behavior diam with auto height Browsed relative growth behavior diam with auto height Browsed relative growth behavior diam only Constant basal area growth behavior diam only Constant radial growth behavior diam with auto height Constant radial growth behavior diam only Double resource relative growth diam with auto height Double resource relative growth diam only Lagged post harvest growth diam with auto height Lagged post harvest growth diam only Linear growth height only Linear growth diam with auto height Linear growth diam only Linear bi level growth diam with auto height Linear bi level growth diam only Linear growth w exponential shade reduction height only Linear growth w exponential shade reduction diam with auto height Linear growth w exponential shade reduction diam only Logistic growth height only Logistic growth diam with auto height Logistic growth diam only Logistic growth w size dependent asymptote height only Logistic growth w size dependen
266. ith the Neighborhood Predation Counts For Masting parameter Species which do not count towards masting may still be predated The seed density is set as an annual average so the density will be calculated the same way for different length timesteps If the total plotwide average annual seed density is greater than this value the timestep is treated as a masting timestep Only those seeds of species to which this behavior applies are considered in the density If the event decision method is set to Ask disperse masting events occur whenever any of the species to which this behavior applies masts according to either the Masting non spatial disperse behavior or the Masting spatial disperse behavior You can use either of these behaviors both of them or neither in which case masting never occurs If any species to which this behavior is applied has masted with either behavior then this is a masting time step If there are no adult trees in the plot then masting does not occur according to either method The seeds in each grid cell of the Dispersed Seeds grid are treated separately for predation according to their local neighborhood composition The relative basal area of each species is calculated from the total basal area of individuals within Neighborhood Predation Neighbor Search Radius m meters of the grid cell center that have a DBH greater than Neighborhood Predation Minimum Neighbor DBH cm The amount of seed eaten for eac
267. itial conditions densities and maps When setting up a simulation a key part is to define the initial tree population There are two ways to add trees at the beginning of the run and they can be used together or separately The first is to ask the model to create trees for you by describing a particular pattern of densities by species and size range size class You define size classes in the Tree setup window and enter densities in the Parameters window The second way is to directly list a particular set of trees in a tree map within the parameter file Tree maps are lists of particular trees You can add one or more maps to your parameter file The maps can come from detailed output files from other runs or you can make your own tab delimited tree maps The preferred method of incorporating a tree map to a run is to add it directly into a parameter file However if the number of trees is very large it may make the XML file too big to read In this case a text tree file s filename can be added to the parameter file instead and SORTIE can read the trees directly from the file Tree parameters e Initial Densities The density of trees in number per hectare for that size class Trees are randomly placed within the chosen size range which starts at the value of the size class beneath or 0 if there is none and ends at the value for the current size class The aim is for an even distribution You can also set up a size class for seedli
268. ity distribution function Used by the Storm disturbance behavior Storm Damage Intercept a for Medium Damage The storm damage intercept parameter a for the equation calculating the probability of medium damage Used by the Storm damage applier behavior Storm Damage Intercept a for Heavy Damage The storm damage intercept parameter a for the equation calculating the probability of heavy damage Used by the Storm damage applier behavior Storm DBH Coefficient d The storm DBH coefficient d for the equations calculating the probability of damage Used by the Storm damage applier behavior Storm Direct Killer a The a value in the probability of mortality logit function Used by the Storm direct killer behavior Storm Direct Killer b The b value in the probability of mortality logit function Used by the Storm direct killer behavior Storm Heavy Damage Survival Prob Intercept a The a value in the probability of survival logit function for trees with heavy damage Used by the Storm damage killer behavior Storm Heavy Damage Survival Prob DBH Coeff b The b value in the probability of survival logit function for trees with heavy damage Used by the Storm damage killer behavior Storm Intensity Coefficient b The storm intensity coefficient b for the equations calculating probability of damage Used by the Storm damage applier behavior Storm Medium Damage Survival Prob Intercept a The
269. ity of a snag that did not fall moving from decay class 2 to decay class 3 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 2 To Class 4 Prob 0 1 Probability of a snag that did not fall moving from decay class 2 to decay class 4 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 2 To Class 5 Prob 0 1 Probability of a snag that did not fall moving from decay class 2 to decay class 5 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 3 To Class 3 Prob 0 1 Probability of a snag that did not fall remaining in decay class 3 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 3 To Class 4 Prob 0 1 Probability of a snag that did not fall moving from decay class 3 to decay class 4 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 3 To Class 5 Prob 0 1 Probability of a snag that did not fall moving from decay class 3 to decay class 5 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 4 To Class 4 Prob 0 1 Probability of a snag that did not fall remaining in decay class 4 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 4 To Class 5 Prob 0 1 Probability of a snag that did not fall moving from decay class 4 to decay class 5 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 5 To Class 5 Prob 0 1 Prob
270. k to the Dispersed Seeds grid How to apply it This behavior may be applied to seeds of any species A species to which this is applied must also have a Disperse behavior applied Also the Substrate behavior must be used in the run Behavior reference string Microtopographic Substrate Seed Survival Light Dependent Seed Survival This behavior assesses seed survival as a function of the Global Light Index GLI of the location in which a seed lands Light level calculations can take into account the change in light blocking by snags and trees with storm damage if desired The effects of light levels on seed survival is graphed as Light Effect Proportion Established I 0 GLI 100 How it works To assess the effects of light level on the number of seeds that survive this behavior calculates the GLI at the center of each grid cell in the Dispersed Seeds grid at the height specified in the Height in m At Which to Calculate GLI parameter value is in meters The calculation proceeds exactly as described in the Light Behaviors In order to perform these GLI calculations this behavior requires its own copy of the key GLI setup parameters If you wish to use storms in your run this behavior can take into account the fact that storm damaged trees may have different light extinction coefficients These light extinction coefficients are specified in the Light Extinction Coeff of Complete Damage Trees 0 1 and Li
271. ke according to neighborhood composition The behavior begins by calculating the Y values for each grid cell as in the non linked version masting is ignored there is only one set of parameters Then the Y values are adjusted so that their mean is equal to the amount of whole plot offtake Z as calculated by the Functional response seed predation behavior linked The adjustments are made as follows 1 Calculate logit Z Calculate the logit Ys and subtract the minimum value from each as well as the logit Z so they will all be positive Average the logit Y s Divide logit Z by average logit Y to get a correction factor Multiply each logit Y by the correction factor Add back the same minimum value formerly subtracted p OVI qe 7 Back transform logit Y to Y and use when removing seeds Then the seeds are removed according to the adjusted Y values This behavior can be used in the same run with the non linked version of this behavior The two sets of species are kept completely separate and there are two separate sets of parameters This behavior may be applied to seeds of any species Any species to which it is applied must also have a Disperse behavior applied as well as the Functional response seed predation behavior linked This behavior should be placed after that behavior in the ordered list of model behaviors In order to make results more verifiable Neighborhood Seed Predation produces a grid called Neigh
272. ke to take the map data and analyze it in other ways you can have the model interface output the values into a tab delimited text format For grid maps you can do this in the Edit menu by choosing Grid layer setup for tree maps choose Tree Setup See those topics for exact instructions The tab delimited text format is for your own use SORTIE cannot accept it as input Last updated 30 Mar 2005 02 40 PM Tab delimited tree maps You can use tab delimited tree maps to directly enter tree map data Tab delimited text means that columns of data are separated by tabs You can save files of this type in many programs particularly spreadsheet programs like Microsoft Excel Requirements for using tree maps Tree maps can be loaded into SORTIE ND only if there is a parameter file loaded as well The data in the tree map is expected to match the parameter file Files must be in plain text with a txt extension Using tree maps Once you have prepared a tree map file according to the format below and once you have loaded a compatible parameter file use the File gt Open file command to load your tab delimited tree map file If you save your parameter file after this point the tree map will be included in it To work with the tree map trees further including removing them use the Manage tree maps window SORTIE ND will not alter your tab delimited tree map file Tree map format Here is an example of a tree map X Y Species Type
273. l 1995 How to apply it The GMF mortality function assumes a timestep length of five years so that must be your timestep length in order to use this behavior This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a growth behavior applied Behavior reference string gmfmortality Growth and Resource Based Mortality This behavior calculates probability of survival as a function of growth and some second resource The identity of the second resource is unimportant and could be anything from exchangeable calcium levels to soil moisture How it works The probability of survival for a tree is calculated with the following equation L4 R p 2 8G Ho y j Pr ob p e where e Prob is the annual probability of survival as a value between 0 and 1 e Ris the amount of the second resource e Gis the amount of radial growth in mm yr e pis the Growth Resource Scaling Factor rho parameter which is a scaling factor to reduce survival at the mode of the survival probability function e is the Growth Resource Function Mode mu parameter which determines the mode of the function along a gradient of the resource R this corresponds to the optimal niche of a species meaning where it is the top competitor the absolute winner of competition e ois the Growth Resource Survival Increase with Growth delta parameter whi
274. l the new substrate created by harvest and tree fall is then totaled up When there is new substrate in a grid cell Substrate reduces the other substrate amounts in the cell to make way for the amount of new substrate Then Substrate creates a record of the substrate change called a cohort The substrates in a cohort decay as the cohort ages Cohorts have a set lifetime of a certain number of years which you set in the parameters After this they are deleted This means that the effects of a substrate change event linger with decreasing intensity for a number of years after the event occurs The final proportions of scarified soil tip up mounds and fresh logs are found by adding up the decayed values in the cohorts The final proportion of decayed logs is found by adding up the amount by which fresh logs have decayed in each cohort The final proportion of the moss litter pool is whatever grid cell area is left over The pool is further split into moss and litter by using the fixed proportion of each in the pool How to apply it Apply Substrate to all trees which can create substrate by becoming fallen logs This generally means that it should be applied to saplings and adults of all species Substrate cannot be applied to seedlings Any tree species type combination to which it is applied must also have a mortality behavior applied Behavior reference string substrate Detailed Substrate This behavior is a modification of the Substr
275. laying the subplots At the right is the legend for any tree map trees which may exist Along the left panel of the window you will see a space for the names of five subplots The colored squares indicate in what color that subplot will show up on the map in the center of the window At the bottom left are some controls for displaying additional useful information that may help you in defining your subplots Defining a subplot Begin by clicking the radio button for the subplot you want to define for instance Subplot 1 Type a name for this subplot Then choose the squares on the map which define the subplot s area You can click single squares or click and drag to select a rectangle You can unselect a square by clicking it again The selected cells will show up in the current subplot s color Everything you click on the map is assumed to apply to the subplot that is currently selected until you select a new one If two subplots overlap only one of the subplot s colors will show up the one with the greater number The hidden subplot still exists it is okay for subplots to overlap However the entire map is still active even for a subplot that is partly covered up Say you select a subplot and then click cells that are covered by a subplot with a higher number Your clicks are still selecting and de selecting cells for the subplot with the lower number but you won t be able to see your selections because the subplot with the higher number
276. le to disperse those with DBHs above the value in the Minimum DBH for Reproduction in cm parameter some can be randomly selected to participate in disperse The proportion dispersing is set in Masting Disperse Mast Proportion Participating 0 1 for mast timesteps and Masting Disperse Non Mast Proportion Participating 0 1 for non mast timesteps The group of trees participating is chosen again each timestep No adjustment is made to the number of seeds produced per tree Fewer trees participating in disperse means fewer total seeds will be produced STR stochasticity The STR value may be randomized each timestep Use the Masting Disperse STR Draw PDF parameter to choose from a normal or lognormal probability distribution You can then set the mean and standard deviations for each species which are different in masting and non masting timesteps You can also leave the STR value deterministic in which case the mean STR value is used directly If you choose to use a stochastic STR the STR value can be generated once per species per timestep or once per tree per timestep If the value is generated once per species all individuals of that species use the same STR value that timestep Once the behavior has decided whether masting occurs and what the STR values are then disperse proceeds exactly as described in the Non gap spatial disperse behavior How to apply it Apply this behavior to all trees of at least the minimum reproductive
277. lied to all tree species and tree types All trees to which this behavior is applied must also have a light behavior applied This is a signal to this behavior that the trees are going to have their data set up in the expected way going p p y Behavior reference string removedead 24 Jun 2004 12 38 PM Snag dynamics behaviors In this document Snag dynamics parameters Snag Decay Class Dynamics behavior Snag dynamics parameters e Snag Decay Class Dynamics Snag Fall Alpha Snag fall alpha parameter Used by the Snag Decay Class Dynamics behavior e Snag Decay Class Dynamics Snag Fall Beta Snag fall beta parameter Used by the Snag Decay Class Dynamics behavior e Snag Decay Class Dynamics Snag Fall Eta Snag fall eta parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Snag Fall Gamma 2 Snag fall gamma 2 parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Snag Fall Gamma 3 Snag fall gamma 3 parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Snag Fall Gamma 4 Snag fall gamma 4 parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Snag Fall Gamma 5 Snag fall gamma 5 parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Snag Fall Kappa Snag fall kappa parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Snag Fall Zeta Snag fall zeta
278. ll Kappa parameter e BAj is the basal area m2 ha of harvested trees in the current snag s cell of the Snag Decay Class Dynamics Basal Area grid Trees and snags that fall are removed completely from SORTIE and are not available for processes such as substrate If a tree or snag does not fall it s condition at the end of the timestep will be represented by a snag decay class Decay class 1 is the least decayed condition and decay class 5 is the most decayed Parameters should be entered to specify the probability of going from a live tree or one of five decay classes to each of the higher decay classes over a five year timestep given that the snag is still standing The transition probabilities for each initial condition must sum to 1 For all models parameter values should correspond to the probability of fall for a five year timestep The behavior will re scale the probability of fall for other timestep lengths if necessary Basal area amounts are tracked in the Snag Decay Class Dynamics Basal Area grid Each timestep the amount of basal area in square meters per hectare is totaled across all species for live trees live adults and adults that died in the current timestep and harvested trees The size of the grid cells is approximately 400 square meters A tree s neighborhood basal area is the value in the grid cell where the tree is located How to apply it This behavior can be applied to adults and snags of any species It shoul
279. ll amounts as a percentage of total density from 0 to 100 The trees killed will be randomly distributed between the minimum and maximum diameters in the size class For small tree populations the amount actually killed may not be exactly what was entered e Amt density ha You intend to specify kill amounts as a number of trees per hectare SORTIE will calculate the actual number of trees to kill by multiplying this number by the area to which the planned mortality episode is applied The trees are removed in size order starting with the tallest in the size class until the target number has been reached or there are no more trees in that size class e of basal area You intend to specify kill amounts as a percentage of total basal area from 0 to 100 SORTIE will add up the basal area in the size class in the cut area and take the percentage in order to figure out how much to kill SORTIE will work its way down the trees in the disturbed area in size order killing each one that brings the amount of basal area killed closer to the target amount without going over If the size class range and the disturbed area are both large the amount of basal area killed is likely to be very close to the target e Amt basal area m ha You intend to specify kill amounts as an amount of basal area in square meters per hectare SORTIE will calculate the actual amount of basal area to kill by multiplying this number by the area to which the planned mortali
280. ll of the Dispersed Seeds grid and calculates how many will become survive The number of seeds that survives is calculated as Rsp Ssp exp c Dens where e Rs is the number of surviving seeds of a given species in the seed grid cell e Sy is the original number of seeds of that species in that grid cell e Dens is the density of seeds number per square meter of that species in that grid cell e cis the Slope of Density Dependence parameter e ois the Steepness of Density Dependence parameter Once the number of surviving seeds has been determined the behavior assigns that number back to the Dispersed Seeds grid cell If there is only one seed in a grid cell it always survives How to apply it Apply this behavior to seeds of your desired species Any species to which it is applied must also have any disperse behavior applied Behavior reference string Density Dependent Seed Survival Proportional Seed Survival This behavior reduces the number of seeds by a set amount How it works In each cell of the Dispersed Seeds grid this multiples the number of seeds present by the Proportion Germinating Between 0 and 1 parameter reducing the total number available The new number of seeds is placed back in the Dispersed Seeds grid How to apply it Apply this behavior to seeds of any species Any species to which this is applied must have a Disperse behavior applied as well Behavior reference string germination Seed E
281. lls trees damaged in storms This behavior takes over and expands a function previously performed by the Storm Damage Applier behavior e New analysis behavior Tree Age which tracks tree ages e New mortality behavior Height GLI Weibull Mortality which calculates tree mortality as a function of tree height and light levels e New growth behavior Puerto Rico Storm Bi Level Growth which uses two functions to calculate growth before and after storms e New analysis behavior Merchantable Timber Value which calculates the value of merchantable timber in a plot e New analysis behavior Carbon Value which calculates the amount of carbon in a plot and its value e Stand and Stock output tables now display species specific values as well as plot total values e The Storm Light behavior has an updated equation for light calculation e The main window is now equipped with scroll bars to allow you to use more space when viewing charts and graphs e The Tree Setup window is now capable of changing the name of a species e The Density Dependent Seed Survival behavior s survival area has been standardized to per square meter e The Relative Michaelis Menton growth behaviors now have an additional exponent on diameter e The Substrate behavior uses a new equation for decayed log decay e Developers The C model code has been ported to the GCC compiler set and the Eclipse development environment Version 6 05 released August 3 2005 Note
282. logs 10 36 59 73 11 46 76 96 12 56 92 120 137 13 67 112 147 168 14 78 132 174 200 15 92 156 2208 242 16 106 180 241 2285 17 121 206 278 1330 18 136 233 314 374 19 154 264 358 427 20 171 296 401 480 542 21 191 3332 450 542 51616 22 211 368 500 1603 1691 23 231 404 552 663 714 24 251 441 605 723 782 25 275 484 665 800 1865 26 299 528 725 877 1021 27 323 572 788 952 1 111 28 347 616 850 1 027 1 201 1 358 29 375 667 920 1 112 1 308 1 488 30 403 718 991 1 198 1 415 1 619 31 432 772 1 070 1 299 1 526 1 754 32 462 826 1 149 1 400 1 637 1 888 33 492 880 1 226 1 495 1 750 2 026 34 521 934 1 304 1 590 1 864 2 163 35 555 998 1 394 1 702 2 000 2 312 36 589 11 063 1 485 1 814 2 135 2 461 37 622 1 124 1 578 1 926 2 272 2 616 38 656 1 186 1 670 2 038 2 410 2 771 39 694 1 258 1 769 2 166 2 552 2 937 40 731 1 329 1 868 2 294 2 693 3 103 Form Class 79 DBH inches 1 log 2 logs 3 logs 4 logs 5 logs 6 logs 10 38 61 77 11 48 78 100 12 58 96 124 141 13 70 117 153 176 14 82 138 182 211 15 95 160 214 252 16 108 183 246 3292 17 124 212 286 340 18 140 240 325 388 19 158 272 370 41442 20 176 305 414 496 561 21 196 342 464 1558 636 22 216 378 514 621 710 23 238 418 571 687 792 24 260 458
283. mage 0 1 parameters to 1 If you are using storms then the value of Damage Effect depends on the tree s damage category If the tree is undamaged Damage Effect equals 1 If the tree has medium storm damage the value is the NCI Damage Effect Medium Storm Damage 0 1 parameter If the tree has complete storm damage the value is the NCI Damage Effect Complete Storm Damage 0 1 parameter The amount of growth is in cm year For multi year timesteps the behavior will calculate total growth with a loop Each loop iteration will increment DBH for one year For each year any portion of the growth equation with DBH as a term is recalculated with the previous year s updated DBH value The final total growth amount is added to the tree s DBH Height is calculated according to the appropriate allometric equation How to apply it This behavior can be applied to saplings and adults of any species It cannot be applied to seedlings If the Shading Effect term is activated in the growth equation then the trees to which this behavior is applied must also have a light behavior applied the Sail light behavior is the one designed to work with the NCI behavior The use of any other light behavior is at your own risk If any storm damage parameters are set to anything other than 1 it is recommended but not required that you have the Storm damage applier behavior applied Behavior reference string ncigrowth NCI growth diam only This be
284. maximum tree height for a species in meters No tree no matter what allometric function it uses is allowed to get taller than this Used by all species NCI Crown Depth Alpha NCI function exponent Used to calculate NCI crown depth NCI Crown Depth Beta NCI function exponent Used to calculate NCI crown depth NCI Crown Depth Crowding Effect n Crowding effect exponent Used to calculate NCI crown depth NCI Crown Depth Gamma NCI function exponent Used to calculate NCI crown depth NCI Crown Depth Lambda for Species X Neighbors The competitive effect of neighbors of species X Used to calculate NCI crown depth NCI Crown Depth Max Potential Depth m The maximum possible value for crown depth in m Used to calculate NCI crown depth NCI Crown Depth Max Search Distance for Neighbors m The maximum distance in m at which a neighboring tree has competitive effects on a target tree Used to calculate NCI crown depth NCI Crown Depth Minimum Neighbor DBH cm The minimum DBH for trees of that species to compete as neighbors Values are needed for all species Used to calculate NCI crown depth NCI Crown Depth Size Effect d Size effect function exponent Used to calculate NCI crown depth NCI Crown Radius Alpha NCI function exponent Used to calculate NCI crown radius NCI Crown Radius Beta NCI function exponent Used to calculate NCI crown radius NCI Crown Radius Crowding Effect n Crowding effect exponent
285. ment diam only How it works This behavior calculates an amount of diameter growth according to the absolute growth equation Growth is limited to a maximum of the constant radial increment for the species of tree to which it is being applied The increment is calculated as described in the Constant radial growth behavior Note that the increment parameter specifies radial growth the behavior makes all necessary conversions How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string absradial diam only Absolute growth limited to basal area increment diam with auto height How it works This behavior calculates an amount of diameter growth according to the absolute growth equation Growth is limited to a maximum of a constant basal area increment The amount of diameter increase is calculated by dividing the annual basal area increment of the tree s species by the diameter of the tree The increment is calculated as described in the Constant basal area growth behavior Tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light b
286. meter file Then using File gt Open File choose the detailed output file A window will open showing the sub files within the detailed output file one per timestep as described above Double click the timestep you want to load You can either replace existing data or add to it If you choose to add data if an existing tree map is loaded those trees will be combined with the new tree map Grid values will be overwritten either way If you don t want to use all the maps you can erase those for individual grids and trees using the Edit menu options Grid layer setup and Tree setup Last updated 18 May 2006 12 46 PM Summary output files For more on output including a guide on what to save see the topic Output in SORTIE The summary output file contains basic summary data for each timestep in the run It is exactly like it was in previous versions of SORTIE You choose what data you want SORTIE to save using Edit gt Output options The choices are e Adult tree relative basal area Adult Rel BA e Adult tree absolute basal area Adult Abs BA e Adult tree relative density Adult Rel Den e Adult tree absolute density Adult Abs Den e Sapling relative basal area Sapl Rel BA e Sapling absolute basal area Sapl Abs BA e Sapling relative density Sapl Rel Den e Sapling absolute density Sapl Abs Den e Seedling absolute density Sdl Abs Den e Snag tree relative basal area Snag Rel BA e Snag tree absolute basal area Snag A
287. meters from a file You may wish to set up a SORTIE batch run where your executable uses different parameters for each run You can give SORTIE a file of all the parameters for the entire batch in a text file and for each run it will separate out that run s parameters and write them to a file for your executable The parameters for a single run must be on a single line of the entire batch file and will be written to a one line file for the individual run Specify the entire batch parameters file in Parameters file for batch run and the single run file in Single run parameters file for batch run on the Edit Harvest Interface window For example suppose there is an executable that takes three parameters It reads these parameters from a one line file named par txt like this parl par2 par3 You can set up a batch of three runs then set up all the parameters in a single file like this parl 1 par2 1 par3 1 parl 2 par2 2 par3 2 parl 3 par2 3 par3 3 You give SORTIE this file and tell it to write par txt for each run The first run in the batch SORTIE will write the first line to par txt the second run in the batch it will write the second line to par txt etc Tips If you are having trouble with SORTIE not finding your code s output file try explicitly writing out directories in your code i e C sortie file txt instead of just file txt How to apply it It is easiest if you add the harvest interface afte
288. meters is set in the Lognormal Bi Level Threshold for High Light Growth 0 100 parameter This behavior can also be used without Storm Light In this case only the low light growth parameters are used How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a diam only growth behavior applied If you wish to use the light level parameter switch also use the Storm Light behavior Behavior reference string log bilevel growth height only Puerto Rico semi stochastic diam only This behavior combines a deterministic growth function for small trees with completely stochastic growth for larger trees It s meant to be used when a species uses a height growth behavior as the primary growth method How it works The divide between the two growth functions is defined in the PR Height Threshold for Stochastic Growth m parameter Trees shorter than this use the following function Y A exp B Height Diam where e Y diameter growth for the timestep in cm e a4 PR a Parameter for Deterministic Growth parameter e b PR b Parameter for Deterministic Growth parameter e Height tree height in cm AFTER height growth in the current timestep e diam diameter of the tree at which to apply growth before growth in cm Above the height cutoff trees are assigned random diameters drawn from a normal distribution
289. metric relationship used to relate DBH in cm and crown radius in m for adult trees e Adult Height Diameter Function The allometric relationship used to relate DBH and height for adult trees e Sapling Crown Height Height Function The allometric relationship used to relate tree height in m and height or length of the crown in m for saplings e Sapling Crown Radius Diameter Function The allometric relationship used to relate DBH in cm and crown radius in m for saplings e Sapling Height Diameter Function The allometric relationship used to relate DBH and height for saplings e Seedling Height Diameter Function The allometric relationship used to relate diameter at 10 cm and height for seedlings 29 Feb 2008 02 42 PM Edit species list window This window is reached from the menu option Edit gt Tree Population gt Edit species list in the main SORTIE ND window It allows you to the species list of the tree population The box under the heading Edit list of species contains the list of current species Changes you make are not final until you click OK If you edit the species list beyond just renaming species you will lose any currently loaded tree map and grid map data Add To add a new species type its name in the box labeled New species and click the button marked Add Rename To change the name of a species first select it in the species list Then type the new name in the box marked New species and click
290. minating on Mound Decayed Logs The proportion of those seeds that land on decayed logs mound substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Mound Forest Floor Litter The proportion of those seeds that land on forest floor litter mound substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Mound Forest Floor Moss The proportion of those seeds that land on forest floor moss mound substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Mound Fresh Logs The proportion of those seeds that land on fresh logs mound substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Mound Scarified Soil The proportion of those seeds that land on scarified soil mound substrate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior Fraction Seeds Germinating on Mound Tip Up The proportion of those seeds that land on tip up mound subs
291. mm a Shaded Linear Diam Intercept in mm yr a parameter b Shaded Linear Diam Slope b parameter c Shaded Linear Diam Shade Exponent c parameter diam diameter diameter at 10 cm for seedlings and saplings DBH for adults GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep After applying the amount of diameter increase tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string shaded linear growth Linear growth w exponential shade reduction diam only How it works This behavior calculates an amount of diameter growth as Y a b diam GLI 100 T where Y amount of diameter increase in mm a Shaded Linear Diam Intercept in mm yr a parameter b Shaded Linear Diam Slope b parameter c Shaded Linear Diam Shade Exponent c parameter e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combinatio
292. n Harvest behavior stores how much it actually cut each timestep in the Competition Harvest Results grid Additionally and optionally you can give the behavior a filename with the Competition Harvest Filename for List of Harvested Trees parameter If a filename is present Competition Harvest will write to this file a list of the individuals harvested each timestep for the entire run The file is a tab delimited text file with a header line and five columns X Y Species DBH and Timestep cut How to apply it Apply this behavior to saplings and or adults of any species Behavior reference string Competition Harvest Harvest How it works SORTIE can implement complex silvicultural treatments Harvest events are defined by species timestep amount to remove type of cut and area of the plot You can define as many harvest events as you wish For information on planting new seedlings see the Planting behaviors topic There are three types of harvest gap cut partial cut and clear cut The primary function of entering the harvest type is to control substrate composition after the harvest occurs In a partial cut harvest though you have more flexibility in choosing which trees are cut You can define up to four size classes and specify the amount of trees to remove in one of four ways as a percentage of total basal area as an absolute amount of basal area as a percentage of total tree density or as an absolute amount of tree
293. n below Used by the Tree Volume Calculator behavior e Taper Equation X Exponent 6 b6 The bg parameter in the taper equation below Used by the Tree Volume Calculator behavior e Diameter Outside Bark Constant a1 The a parameter in the equation for calculating tree diameter outside bark below Used by the Tree Volume Calculator behavior e Diameter Outside Bark First Degree Parameter a2 The a parameter in the equation for calculating tree diameter outside bark below Used by the Tree Volume Calculator behavior e Diameter Outside Bark Second Degree Parameter a3 The a5 parameter in the equation for calculating tree diameter outside bark below Used by the Tree Volume Calculator behavior e Height to Begin Calculating Trunk Volume in cm The height at which volume calculations begin For merchantable volume calculations this can be thought of as the stump height The height is height off the ground in cm e Minimum Trunk Diameter for Volume Calculations in cm The trunk diameter inside the bark at which volume calculations end For merchantable volume calculations this is the minimum usable trunk diameter The diameter is in cm e Trunk Segment Length for Volume Calculations in m The length in m of segments into which the tree trunk is divided for volume calculations A smaller value means a greater degree of accuracy a larger value means a faster processing time Carbon Value This behavior
294. n invalid behavior assignment you will receive an error message and be given the opportunity to correct your choices Tree assignments window This window is reached from the Current run behaviors window or from the Edit harvest interface window It modifies the trees to which a behavior is applied The current list of tree species type combinations is shown on the right hand side of the window The left hand side allows you to choose a new species type combination Choose the appropriate combination where it says Please choose a species and Please choose a tree type Then click the button marked gt gt to add your choice to the list You can remove a choice by selecting it in the list on the right then clicking the Remove button Not all behaviors can be assigned to all species type combinations If you have made an invalid choice you will see an error message when you click the OK button and you will be given the opportunity to change it See the documentation for individual behaviors for information on how they can be applied 23 Oct 2006 11 27 AM Edit Episodic Events Window This window is reached using the menu option Edit gt Episodic events from the main window This window allows you to set up silvicultural treatments and planned mortality episodes In this document Window layout Displaying current episodic events Creating new episodic events Editing existing episodic events Deleting existing episo
295. n there is little loss of the substrate When lt 1 the substrate disappears most rapidly immediately after substrate creation less likely f 1 gives a constant loss per time step i e exponential decline In this example a 0 0002 and f 4 Relationship 3 governs the amount of fresh logs created each time step as a result of tree mortality For the purposes of adding new substrate fallen logs are assumed to be cone shaped Since they land on their sides the area of the cone is approximated to a triangle Thus each new fresh log contributes the following amount of new fresh log area FL DBH hy2 where e FL is new fresh log area in square meters e DBH is the DBH of the fallen tree in m e his the height of the fallen tree in m A dead adult or sapling as a certain probability of contributing fresh log substrate this probability is specified in the Proportion of Dead that Fall parameter Snags always add fresh log substrate upon their death How new fresh log area is distributed depends on the value in the Use Directional Tree Fall parameter If false a dead tree contributes all of its fresh log area into the grid cell where it was rooted In other words it doesn t fall over so much as vertically collapse If true a trees is allowed to fall in a random direction The amount of new fresh log area is distributed over the grid cells that the log overlays Relationship 5 governs the amount of newly exposed tip up m
296. n to which it is applied must also have a light behavior and a height only growth behavior applied Behavior reference string shaded linear growth diam only Logistic growth height only How it works The amount of height increase is calculated as a Y wr 4 7 ray l5 c GLI JI g A 1 where e Y amount of height increase in cm e a Logistic Asymptotic Height Growth Full Light in cm yr a e b Logistic Height Shape Param 1 b parameter e c Logistic Height Shape Param 2 c parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter only growth behavior applied Behavior reference string logistic growth height only Logistic growth diam with auto height How it works The amount of diameter increase is calculated as v u KT 7 ra 4 b fre GLI Jl e vf 1 where e Y amount of diameter increase in mm e a Logistic Asymptotic Diam Growth Full Light in mm yr a parameter e b Logistic Diam Shape Param 1 b parameter e c Logistic Diam Shape Param 2 c parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep After applyi
297. n you received as to the offer to distribute corresponding source code This alternative is allowed only for noncommercial distribution and only if you received the program in object code or executable form with such an offer in accord with Subsection b above The source code for a work means the preferred form of the work for making modifications to it For an executable work complete source code means all the source code for all modules it contains plus any associated interface definition files plus the scripts used to control compilation and installation of the executable However as a special exception the source code distributed need not include anything that is normally distributed in either source or binary form with the major components compiler kernel and so on of the operating system on which the executable runs unless that component itself accompanies the executable If distribution of executable or object code is made by offering access to copy from a designated place then offering equivalent access to copy the source code from the same place counts as distribution of the source code even though third parties are not compelled to copy the source along with the object code 4 You may not copy modify sublicense or distribute the Program except as expressly provided under this License Any attempt otherwise to copy modify sublicense or distribute the Program is void and will automatically terminate your rights under this
298. nctions for tree species and life history stage For more details on this option see the Edit allometry functions window topic Tree population edit species list window Use this option to add rename or remove tree species For more details on this option see the Edit species list window topic Tree population edit initial density size classes window Use this to change the size classes for tree initial densities For more details on this option see the Edit size classes window topic Tree population manage tree maps window Use this to add and remove tree maps For more details on this option see the Manage tree maps window topic Grid layer setup Use this option to edit the basics of the currently loaded grids For more details on this option see the Grid setup window topic Model flow Use this option to edit the list of behaviors their order in the run and the trees to which they are assigned For more details on this option see the Edit simulation window topic Output options Use this option to set up output for a run By default no output is saved This controls both short output files and detailed output files For more details on this option see the Output setup window topic 29 Feb 2008 02 10 PM Parameters window This window is reached using the menu option Edit gt Parameters from the main SORTIE window It allows you to edit the parameter values for your run In this window Choose whi
299. nd the life history stage do not match diameter takes precedence For instance if the parameter file specifies that the minimum adult DBH is 10 cm and the tree map contains a tree designated as a sapling with a diameter of 15 cm then SORTIE ND will create an adult with a DBH of 15 The sixth column is tree height in meters If this value is set to 0 SORTIE ND will use the allometry equations to calculate tree height If this value is non zero then this height is assigned to the tree even if the allometric equations would produce a different result This feature is useful if you intend to use growth behaviors that separately increment diameter and height for your trees When in doubt use 0 Converting pre 6 0 SORTIE tree map files If you have a tree map file from before SORTIE 6 0 you can simply copy and paste the columns with the following exception The old version of SORTIE has reversed coordinate axes So paste the old X values into the new Y column and vice versa Last updated 16 Mar 2006 01 49 PM Files from versions of SORTIE prior to 6 01 If you used previous versions of SORTIE you may have a collection of files you used for runs This version of SORTIE can read some of those files If you have not used previous versions of SORTIE this topic is probably irrelevant for you Supported file types e Harvest regime files hvr A harvest regime file is a specification for harvest and planting for a run A harvest regime
300. ndom distribution of trees from size class data do the following 1 Load your parameter file without episodic event information 2 Enter the appropriate size classes using Edit gt Tree Setup and the appropriate initial density information using Edit gt Parameters 3 Inthe parameters set the length of the run to be 1 timestep 4 Using Edit gt Output Options create a detailed output file with the X Y and DBH of the saplings and adults of each species 5 Save the parameter file under a different name 6 Choose Model gt Run from the main SORTIE window or run one timestep This causes the model to be run A tree map of the initial density data you entered is then created 7 Load your original parameter file again 8 Use the instructions in the detailed output files topic to get the detailed output timestep file for timestep 0 and add it to the parameter file 9 Proceed to enter your episodic events Displaying current episodic events To display existing episodic events choose the tab of the type of episodic event you would like to see The episodic events are numbered in the order that they were entered You will see the currently displayed episodic event and what its number is of the total for example Showing harvest 3 of 5 Use the backward and forward buttons to move back and forth through the current episodic events On the left you will see information about the episodic event On the map to the
301. neously your obligations under this License and any other pertinent obligations then as a consequence you may not distribute the Program at all For example if a patent license would not permit royalty free redistribution of the Program by all those who receive copies directly or indirectly through you then the only way you could satisfy both it and this License would be to refrain entirely from distribution of the Program If any portion of this section is held invalid or unenforceable under any particular circumstance the balance of the section is intended to apply and the section as a whole is intended to apply in other circumstances It is not the purpose of this section to induce you to infringe any patents or other property right claims or to contest validity of any such claims this section has the sole purpose of protecting the integrity of the free software distribution system which is implemented by public license practices Many people have made generous contributions to the wide range of software distributed through that system in reliance on consistent application of that system it is up to the author donor to decide if he or she is willing to distribute software through any other system and a licensee cannot impose that choice This section is intended to make thoroughly clear what is believed to be a consequence of the rest of this License 8 If the distribution and or use of the Program is restricted in certain countries eithe
302. ng the amount of diameter increase tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string logistic growth Logistic growth diam only How it works The amount of diameter increase is calculated as a d f wP cC lb fc GLI g Le 1 where e Y amount of diameter increase in mm e a Logistic Asymptotic Diam Growth Full Light in mm yr a parameter e b Logistic Diam Shape Param 1 b parameter e c Logistic Diam Shape Param 2 c parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height only growth behavior applied Behavior reference string logistic growth diam only Logistic growth w size dependent asymptote height only How it works This behavior calculates annual height increases as a b diam ETZE where e Y amount of height increase in cm e a Size Dep Logistic Height Intercept a parameter e b Size Dep Logistic Height Slope b parameter e c
303. ngs Seedlings set up this way are given a slightly randomized value of New seedling diameter at 10 cm below You can further specify seedling initial densities using the seedling height class parameters You can set up size classes in the Tree setup window e Initial Density ha Seedling Height Class 1 Number of seedlings per hectare to create in the first seedling height class not required The lower bound of this class is 0 cm and the upper bound is the value in the Seedling Height Class 1 Upper Bound in cm parameter e Initial Density ha Seedling Height Class 2 Number of seedlings per hectare to create in the second seedling height class not required The lower bound of this class is the value in the Seedling Height Class 1 Upper Bound in cm parameter and the upper bound is the value in the Seedling Height Class 2 Upper Bound in cm parameter e Initial Density ha Seedling Height Class 3 Number of seedlings per hectare to create in the third seedling height class not required The lower bound of this class is the value in the Seedling Height Class 2 Upper Bound in cm parameter and the upper bound is 135 cm the tallest possible seedling height e Minimum Adult DBH The minimum DBH at which trees are considered adults See more about tree life history stages above e Max Seedling Height meters The maximum seedling height in meters Trees taller than this height are saplings See more about tree life history st
304. ngs establish per square meter 6 in the equations below Used by the Density Dependent Seed Survival behavior Snag Age Class 1 Light Extinction Coefficient 0 1 Fraction of light transmitted through the snag tree crown for each species Applies to those snags whose age is less than or equal to Upper age yrs of snag light extinction class 1 Expressed as a fraction between 0 and 1 If your run does not work with snags you can ignore this Otherwise a value must be provided for all species Used by the Light Dependent Seed Survival behavior Snag Age Class 2 Light Extinction Coefficient 0 1 Fraction of light transmitted through the snag tree crown for each species Applies to those snags whose age is greater than Upper age yrs of snag light extinction class 1 but is less than or equal to Upper age yrs of snag light extinction class 2 Expressed as a fraction between 0 and 1 If your run does not work with snags you can ignore this Otherwise a value must be provided for all species Used by the Light Dependent Seed Survival behavior e Snag Age Class 3 Light Extinction Coefficient 0 1 Fraction of light transmitted through the snag tree crown for each species Applies to those snags whose age is greater than Upper age yrs of snag light extinction class 2 Expressed as a fraction between 0 and 1 If your run does not work with snags you can ignore this Otherwise a value must be provided for all sp
305. nipulates it and stores the result Usually a behavior roughly corresponds to a biological process such as tree growth When you define a simulation the most important step is to choose which behaviors will run to what data they will apply and in what order they will run Defining the scope of a behavior s actions Behaviors act on data to achieve a result The data in the model is trees and grids For those behaviors that act on trees you must tell them what trees to act on For instance if you had a behavior which applied a Michaelis Menton growth function to trees you may tell it to act on saplings of species 1 2 and 3 adults of those species may have a different growth behavior applied to them The individual behavior documentation tells you how each behavior can be applied Behaviors often have some rules about how they can be applied but these tend to be limited in the interests of maximum flexibility The model doesn t try to second guess what you are doing or warn you against things that don t make sense Therefore it is important to carefully check the behavior setup yourself before starting a run Common mistakes include applying two different behaviors of the same type to the same set of trees and failing to provide a complete set of behaviors to a particular type of tree These types of situations make computer sense and a simulation can be run when they occur However they do not make scientific sense and unexpected re
306. nsmission 0 1 Fraction of light transmitted through the snag tree crown for each species Applies to those snags whose age is less than or equal to Upper Age Yrs of Snag Light Transmission Class 1 Expressed as a fraction between 0 and 1 If your run does not work with snags you can ignore this Otherwise a value must be provided for all species Used by all behaviors making GLI or Sail Light calculations Snag Age Class 2 Amount Canopy Light Transmission 0 1 Fraction of light transmitted through the snag tree crown for each species Applies to those snags whose age is greater than Upper Age Yrs of Snag Light Transmission Class 1 but is less than or equal to Upper Age Yrs of Snag Light Transmission Class 2 Expressed as a fraction between 0 and 1 If your run does not work with snags you can ignore this Otherwise a value must be provided for all species Used by all behaviors making GLI or Sail Light calculations Snag Age Class 3 Amount Canopy Light Transmission 0 1 Fraction of light transmitted through the snag tree crown for each species Applies to those snags whose age is greater than Upper Age Yrs of Snag Light Transmission Class 2 Expressed as a fraction between 0 and 1 If your run does not work with snags you can ignore this Otherwise a value must be provided for all species Used by all behaviors making GLI or Sail Light calculations e Storm Light Intercept of Light Function Intercept of th
307. nt dispersion term so that STR is in meaningful units i e the total of seedlings produced in the entire seedling shadow of a 30 cm DBH parent tree Non gap spatial disperse Non gap spatial disperse is called non gap to distinguish it from gap disperse The non gap means that forest cover is ignored How it works For each tree greater than reproductive age the number of seeds produced is calculated as seeds STR DBH 30 These seeds are cast in random azimuth directions from the tree and at random distances that conform to the chosen probability distribution function How to apply it Apply this behavior to all trees of at least the minimum reproductive age for your chosen species If the minimum reproductive age is less than the Minimum adult DBH be sure to apply this behavior to saplings as well as adults In the parameters choose the appropriate probability distribution function for each species under Canopy function used This behavior can be used to simulate the suckering of stumps Apply this behavior to tree type stump of your chosen species Stumps reproduce like other parent trees They use the same probability distribution function and parameters as live members of their species but they get their own f and STR values so that they can produce different numbers of seeds Behavior reference string non gap disperse Gap spatial disperse Gap spatial disperse takes forest cover into account when determining
308. nt Seed Survival No Gap Status and Substrate Dependent Seed Survival With Gap Status behaviors Fraction Seeds Germinating on Canopy Forest Floor Moss The proportion of those seeds that land on forest floor moss under canopy conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival No Gap Status and Substrate Dependent Seed Survival With Gap Status behaviors Fraction Seeds Germinating on Canopy Scarified Soil The proportion of those seeds that land on scarified soil under canopy conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival No Gap Status and Substrate Dependent Seed Survival With Gap Status behaviors Fraction Seeds Germinating on Canopy Tip Up The proportion of those seeds that land on tip up mounds substrate under canopy conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival No Gap Status and Substrate Dependent Seed Survival With Gap Status behaviors Fraction Seeds Germinating on Gap Decayed Logs The proportion of those seeds that land on decayed logs under gap conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival With Gap Status behavior Fraction Seeds Germinating on Gap Fresh Logs The proportion of those seeds that land on fresh logs under gap c
309. nterval The reciprocal of the return interval gives the annual probability of each type of storm The overall frequency of storms can remain constant or it can change through time It has been reported in Goldenburg et al 2001 that storm activity in the North Atlantic cycles along with sea surface temperature This behavior can thus change the storm frequency over time using either a sinusoidal pattern a constant linear change or both together In the figure below curve 1 is a basic sine wave Curve 2 has a sinusoidal pattern plus an upwards trend 4 4 e Curve 1 4a Curve 2 N Pu J 4 m F a y h A 75 hia x P LI b A a a E 9 t a d n x T T e au i l c 3 4 5 The actual probability of an individual storm that takes place in a storm regime with a cyclical frequency is P Fi P Fi d sin x x g 2f mx i Note that the new probability is a baseline probability P F multiplied by a value that adjusts the probability according to where the model is at the given time in the frequency cycle The frequency cycle multiplier is itself made up of two terms added together The first term is the sine curve cycling and the second term is the overall trend upwards or downwards Terms in the equation e P F is this timestep s annual probability of a storm of the ith return interval adjusted according t
310. nu to save the files as tab delimited text You can then open it from your spreadsheet application or a text editor Detailed output files as input to other runs The maps in a detailed output timestep file can be used as initial conditions on a subsequent run provided that they are compatible with the parameter file being used Here are the requirements for a detailed output map file to be loaded with a parameter file different from its original file e The parameter file must have the same species as the parameter file used to create the detailed output file e The Plot dimensions must be the same e Each map that you want to use must make sense as a complete dataset For instance you cannot do a run with a tree map in which you have saved the X coordinates of trees but not the Y coordinates You don t have to use all the maps in the file more on this later e f any behavior specific data was saved for trees those same behaviors must be enabled for the current run For more see the tree data member list topic The detailed output file can be used to completely save the state of the model If your detailed output file saves everything you could start a new analysis using any timestep of a previous analysis as the starting point In order to save a complete detailed output file use the Save Everything button on the Setup detailed output file window To load a detailed output file as initial conditions first load the para
311. o a text file rather than imported into the parameter file This allows easier use of very large tree maps e Several more components have been added to the Partitioned DBH Biomass behavior and there is now a line graph chart option for the Partitioned Biomass grid e The Storm Light behavior now uses trees that died of natural mortality in addition to storm damage in its calculations of light levels e Storm results for the Storm disturbance behavior now have a table option in the data visualization system for detailed output files Minor changes and bug fixes e You can now change the cell resolution when defining subplots e There were several bug fixes related to creating and using detailed output files e The Harvest Interface behavior now stores its results in the Harvest Results grid allowing reporting and compatibility with certain other behaviors e Storm events were made more independent for the Storm disturbance behavior e The Random Browse behavior can now vary its browse probabilities each timestep according to a normal distribution Version 6 08 released May 24 2007 Note If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 08 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 08 e The new behavior Snag Decay Class Dynamics introduces a new method for simulat
312. o correct the problem You are not allowed to save invalid data changes For more on what an individual piece of data is and what limitations may be placed on it consult the individual behavior documentation find it by looking at the header that the piece of data is under 16 Nov 2004 06 47 AM Edit Harvest Interface Window This window is reached from the Edit menu by selecting Harvest Interface It allows you to set up the Harvest interface behavior Path and filename of the executable This is the full path and filename of the executable that SORTIE will call to perform harvests The filename and file extension must be something that the operating system can recognize and treat as an executable Be sure to provide the complete filename SORTIE makes no assumptions about the file Tree file that SORTIE will write This is the full path and filename of the file that SORTIE writes each harvest timestep with the list of trees eligible to be harvested Input the filename and extension as the executable expects to find it Tree harvest file that the executable will write This is the full path and filename of the file that the executable writes with the list of trees to be harvested Input the filename and extension as it will be written by the executable How often to harvest in years How often SORTIE will perform the harvest process This number must be a positive integer value Behavior currently assigned to This is the tree types and
313. o the left of the map e Min brightness the darkest color that shows up on the map as a value between 0 and 255 This defaults to pure black value of 0 e Min value the minimum grid value where the grayscale starts Any grid values below this value will show up the min brightness color This defaults to the smallest value for the map e Knee brightness the color that corresponds to the knee value as a value between 0 and 255 The knee brightness defaults to gray halfway between black and white e Knee value the grid value corresponding to the knee brightness color This defaults to halfway between the minimum and maximum grid values If the map does not show a lot of contrast this may be because the values are not evenly distributed between the minimum and the maximum grid values If the map is too dark set the knee value lower if it s too light set it higher e Max brightness the lightest color that shows up on the map as a value between 0 and 255 This defaults to pure white value of 255 e Max value the maximum grid value where the grayscale ends Any grid values above this value will show up the max brightness color This defaults to the largest value for the map The color lightness increases linearly with map value from the minimum to the knee and linearly again from the knee to the maximum Once you have adjusted your display values click the Update button Updating can be slow If you can t see a difference
314. o the frequency cyclicity e P F is the baseline probability of a storm of the ith return interval that is the reciprocal of the values specified in the Return Interval for Severity Storm Class X parameters e x 4 t Sr where tis the number of years since the run started and Sr is the Storm Sea Surface Temperature Cyclicity Period Years parameter e dis the Storm Storm Cyclicity Sine Curve d parameter which controls the sine curve s amplitude e fis the Storm Storm Cyclicity Sine Curve f parameter which controls the sine curve s frequency e gis the Storm Storm Cyclicity Sine Curve g parameter which controls where on the sine curve storms start occurring e mis the Storm Storm Cyclicity Trend Function Slope m parameter e iis the Storm Storm Cyclicity Trend Function Intercept i parameter To turn off all cyclicity and use constant storm probabilities set Storm Storm Cyclicity Sine Curve d to 0 Storm Storm Cyclicity Trend Function Slope m to 0 and Storm Storm Cyclicity Trend Function Intercept i to 1 The other values are unimportant To use only the sine portion with no trend line set both Storm Storm Cyclicity Trend Function Slope m and Storm Storm Cyclicity Trend Function Intercept i to 0 To use only the trend portion set Storm Storm Cyclicity Sine Curve d to 0 To decide whether storms occur the behavior compares a random number to the annual probability of each storm severity class For timeste
315. o timesteps You could create a parameter file with new growth parameters find the timestep in the previous run where the interesting curve shape started then use that timestep as initial conditions to your new run For your new run you would save less data For more information on using detailed output output as initial conditions see the detailed output files topic 18 May 2006 12 51 PM Batch runs SORTIE ND can do simulations one at a time or in groups A group of simulations is a batch run A batch run consists of simulations performed on one or more parameter files with each parameter file running one or more times Setting up a batch run A batch run is defined using a batch file You work with batch files using the Batch file setup window A batch file is an XML file which lists a set of parameter files to run and the number of times to run each file Before you begin a batch run prepare all of your parameter files Save them all to an appropriate place If you are saving output in your parameter files make sure that the directory ies that the output will be written to already exist It doesn t matter where you put your parameter files or where you write your output but if you move parameter files around SORTIE ND may not be able to find them when it runs your batch Once all of your parameter files are ready create and save your batch file Batch runs and output Parameter files being run in batches can write outp
316. ocesses in SORTIE generally make heavy use of the random number generator Submodel In previous versions of the model these were pieces of the SORTIE model designed to do a specific task in the simulation Subplot A subarea of the plot chosen by the user This subarea is tracked separately during data analysis Substrate What seedlings germinate in soil and the organic layers on top of it See the substrate behaviors topic Summary output file A type of output file which provides summary data for a run Synonymous with short output file See the summary output file topic Suppression When juvenile trees are in persistently low light conditions their growth slows considerably This is suppression Different species have different tolerances for suppression some will die while some can tolerate being suppressed for decades See the growth behaviors topic for more Tab delimited text file An ASCII text file organized as a table with columns separated by tabs and rows separated by returns Timestep The basic unit of time in SORTIE Timesteps are defined in years in the parameter file The basic run cycle is repeated once per timestep See the run setup and progression topic Torus A donut shape This is the shape of the forest in SORTIE See the plot topic SORTIE ND License Software Copyright 2001 2005 Charles D Canham Software Author Lora E Murphy Institute of Ecosystem Studies Box AB Millbrook NY 12545 Software
317. of crown overlaps e SORTIE now uses the GNU Scientific Library for mathematical calculations thus expanding the range of possible function forms and probability distributions support e The Functional response seed predation and Neighborhood seed predation behaviors can now be linked together so that the number of seed predators can determine the number of seeds eaten and neighborhood can determine where seeds are eaten What s New archive Last updated 16 Oct 2009 01 00 PM What s New Archive Version 6 09 released February 1 2008 Note If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 09 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 09 e The new Storm Direct Killer behavior kills trees as a direct result of storm intensity without resorting to a separate damage step This behavior can be used for seedlings e The new Detailed Substrate behavior uses a greatly expanded log decay model e The new Competition Harvest behavior removes trees based on their competitive effects on their neighbors e The new Ripley s K and Relative Neighborhood Density Calculator behaviors provide new spatial indexes e Youcan now schedule a specific set of storms for the Storm disturbance behavior either alone or in combination with a storm regime e Tree maps can be added as a link t
318. of species group X decay class Y All gap cut values added together must be less than or equal to 1 This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Species Group X Large Class Y Initial Log Prop 0 1 For the initial conditions the proportion of substrate area that is large logs of species group X decay class Y All initial conditions values added together must be less than or equal to 1 Used by the Detailed Substrate behavior Species Group X Small Class Y Initial Log Prop 0 1 For the initial conditions the proportion of substrate area that is small logs of species group X decay class Y AII initial conditions values added together must be less than or equal to 1 Used by the Detailed Substrate behavior Species Group X Large Class Y Log Decay Alpha The a exponent in the decay equation as applied to large logs of species group X decay class Y This value must be a negative number Used by the Detailed Substrate behavior Species Group X Small Class Y Log Decay Alpha The a exponent in the decay equation as applied to small logs of species group X decay class Y This value must be a negative number Used by the Detailed Substrate behavior Species Group X Large Class Y Log Decay Beta The p exponent in the decay equation as applied to large logs of species group X decay class Y Used by the Detailed Substrate behavior e Species Group X Small Class Y Log Decay Beta The exponent in th
319. oints file in the GLI Points Input File parameter It is best to use a fully qualified path name i e c sortie my_points txt SORTIE ND will load the points into the parameter file If you are working with a parameter file that already contains GLI points because they were saved into it previously you do not need to enter another file and can leave the GLI Points Input File parameter blank Each timestep this behavior calculates GLI at each of the points specified It then writes the results to another tab delimited text file You enter the filename of this file in the GLI Points Output File parameter It should be fully qualified i e c sortie points_output txt and should have a txt extension If the file already exists when the SORTIE ND run begins the contents will be overwritten This means that this behavior cannot successfully be used in batch runs where a parameter file will be run multiple times How to apply it This behavior does not need to be applied to trees It can stand alone as the only light behavior if you wish Behavior reference string GLI Point Creator Last Updated 20 Feb 2008 02 12 PM Growth behaviors In this document How growth is applied Growth parameters Absolute growth behaviors Absolute growth limited to radial increment behavior diam with auto height Absolute growth limited to radial increment behavior diam only Absolute growth limited to basal area increment behavior diam w
320. om live killed this timestep to decay class 4 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Live To Class 5 Prob 0 1 Probability of a snag that did not fall moving from live killed this timestep to decay class 5 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 1 To Class 1 Prob 0 1 Probability of a snag that did not fall remaining in decay class 1 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 1 To Class 2 Prob 0 1 Probability of a snag that did not fall moving from decay class to decay class 2 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 1 To Class 3 Prob 0 1 Probability of a snag that did not fall moving from decay class to decay class 3 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 1 To Class 4 Prob 0 1 Probability of a snag that did not fall moving from decay class 1 to decay class 4 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 1 To Class 5 Prob 0 1 Probability of a snag that did not fall moving from decay class 1 to decay class 5 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 2 To Class 2 Prob 0 1 Probability of a snag that did not fall remaining in decay class 2 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Class 2 To Class 3 Prob 0 1 Probabil
321. om number with each tree in its pool of eligible trees to decide if that tree dies If it dies the behavior also kills the trees closest to it Only trees to which this behavior has been applied are killed other neighbors are left alone The size of these clumps of dead trees can either be deterministic or drawn from a negative binomial probability distribution This option is set in the Aggregated Mortality Clump Size parameter If the size is deterministic the size of all clumps is given in the Aggregated Mortality Number of Trees To Aggregate parameter If the size is from a negative binomial distribution that parameter gives the mean u for the function r a FPes 5 u y ul Pix u j 1 2 Dix utk amp where k the clumping parameter is the Aggregated Mortality Clumping Parameter parameter If the Aggregated Mortality Return Interval years and Aggregated Mortality Number of Trees To Aggregate parameters are both set to 1 then this behavior functions exactly like the Adult Stochastic Mortality behavior How to apply it This behavior can be applied to seedlings saplings and adults of any species Only those trees to which this behavior has been applied will be killed This behavior can be combined with other mortality behaviors but for best results it should be the first one to occur Behavior reference string Aggregated Mortality BC mortality BC mortality is a growth based mortality behavior H
322. on controlling the increase or decrease of overall frequency cycling For no cyclicity at all set this term to 1 For no trend in cyclicity set this term to 0 Used by the Storm disturbance behavior Storm Storm Cyclicity Trend Function Slope m Parameter that controls the trend of cyclicity of storm frequency This value is part of the trend term and is the slope at which frequency cycling increases or decreases For no cyclicity or no trend in cyclicity set this term to 0 Used by the Storm disturbance behavior Windstorm DBH Exponent b The b value in the equation used to determine the mortality of an individual tree as a result of a storm Used by the Windstorm behavior Windstorm Minimum DBH for Windstorm Mortality The minimum DBH for trees to be killed in storm events Used by the Windstorm behavior Windstorm Mortality Intercept a The a value in the equation used to determine the mortality of an individual tree as a result of a storm Used by the Windstorm behavior Windstorm Sea Surface Temperature Cyclicity Period Years Parameter that controls the cyclicity of storm frequency This value cannot be 0 Used by the Windstorm behavior Windstorm Severity for 1 Year Return Interval Storm The severity of storms with a 1 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 5 Year Return Interval Storm The severity of st
323. on many other factors in addition to plot size you may need to tweak plot size a bit until you ve found a good value The SORTIE Coordinate System SORTIE uses X Y coordinates starting at 0 0 which is at the southwest corner of the plot Positive Y coordinates increase to the north positive X coordinates increase to the east There are no negative plot location values The coordinate values are in meters IMPORTANT The new coordinates are different from the older versions of SORTIE in which the axes were switched When the new version converts older files the coordinate conversions are made automatically Marth fo 0 East oo gt gt The Torus Forest When you are working with the plot you think of it as a rectangle In fact it is a torus donut Each edge connects to the edge on the opposite side To picture this imagine a sheet of paper Roll the sheet of paper into a tube then bend the tube around so its ends meet This is what the SORTIE forest looks like The purpose of this shape is to eliminate edges in the forest Trees near the edges of the plot torus see trees on the far edge as being right next to them The torus shape is what controls the minimum plot size in SORTIE Some processes in SORTIE require searching a portion of the plot for instance to find all the trees in a given circle If that search took place over too great an area compared to the size of
324. onditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival With Gap Status behavior Fraction Seeds Germinating on Gap Forest Floor Litter The proportion of those seeds that land on forest floor litter under gap conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival With Gap Status behavior Fraction Seeds Germinating on Gap Forest Floor Moss The proportion of those seeds that land on forest floor moss under gap conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival With Gap Status behavior Fraction Seeds Germinating on Gap Scarified Soil The proportion of those seeds that land on scarified soil under gap conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival With Gap Status behavior Fraction Seeds Germinating on Gap Tip Up The proportion of those seeds that land on tip up mounds substrate under gap conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival With Gap Status behavior Fraction Seeds Germinating on Ground Decayed Logs The proportion of those seeds that land on decayed logs ground substrate that survive to become seedlings Expressed
325. only Relative growth height only This behavior uses the Michaelis Menton function to do height growth How it works After the Michaelis Menton function is used to calculate Y as described in the section above the amount of height growth is calculated as G Y Height where e Gis the amount of height growth for one year in cm e Height is the height of the tree in cm e Xis the Relative Michaelis Menton Growth Height Exponent parameter If the timestep is more than one year long growth is recalculated for each year of the timestep increasing the height each time How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter growth behavior applied Behavior reference string relative michaelis menton height growth Allometric diameter and height growth How it works These behaviors are designed to be secondary growth behaviors If you have a behavior that primarily updates one tree dimension diameter or height one of these behaviors can be used on the other dimension to ensure even growth These behaviors calculate a growth amount based on the allometry equations The amount of growth is Y f Xt 1 KX where Y is the amount of growth calculated by this behavior f X is the allometry equation relating diameter and height X is the other tree dimension either height or diam
326. or each species and saved in a grid called Foliar Chemistry You can save these values in a detailed output file for analysis You of course can skip any of the components by entering 0 s for their concentration parameter values How to apply it Apply this behavior to saplings adults or snags of any species This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup window will list the Foliar Chemistry grid You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Foliar Chemistry Merchantable Timber Value This behavior calculates the value of merchantable timber How it works The value for each tree is calculated by finding out its volume in board feet and multiplying that by the price for its species The price is held in the Merchantable Timber Value Price 1000 Board Feet parameter The currency used doesn t matter The tree s final value is placed in a tree data member called Merchantable Value The total value for each species is saved in a grid called Merchantable Timber Value You can save these values in a detailed output file for analysis The volume of merchantable timber in a tree depends on its size and form class These control how many 16 foot logs there are in a tree and how many board feet of timber assuming 0 25 inch thickness those logs can create The form class is ent
327. ording to the relative growth version of the Michaelis Menton function The same function is used for both browsed and unbrowsed trees but the parameters are different The function is rrr A OGL A GLI DEN where e Yis the amount of annual relative growth e Ais the Asymptotic Diameter Growth A or Browsed Asymptotic Diameter Growth A parameter e Sis the Slope of Growth Response S or Browsed Slope of Growth Response S parameter e GLl is the global light index calculated by a light behavior Growth is compounded over multiple timesteps with the equation G Y 1 1 dian where e Gis the amount of diameter growth for the timestep in cm e diam is the diameter of the tree in cm at 10 cm height if seedling or sapling or DBH if adult e Tis the number of years per timestep e Xis the Relative Michaelis Menton Growth Diameter Exponent or Browsed Diameter Exponent parameter Whether or not a tree is browsed is determined by the Random browse behavior How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and the Random browse behavior applied Behavior reference string browsed relative growth Browsed relative growth behavior diam only This behavior works exactly like the Browsed relative growth behavior diam with auto height behavior to calculate an amount of diameter gr
328. orm behaviors with a few key differences For those long time users of SORTIE this is the same as the Windstorm submodel in the pre 6 versions of SORTIE How it works Using the parameters you provide a general shape of storm intensity SORTIE then decides which storms occur each timestep and which trees die as a result This behavior defines 11 storm return intervals 1 5 10 20 40 80 160 320 640 1280 and 2560 years Each has a set annual probability for example an 80 year return interval storm has an annual probability of 1 80 or 0 0125 For each year of each timestep for each return interval SORTIE generates a random number to decide whether a storm of that return interval will occur This means that there can be multiple storms in a timestep or no storms at all In a multi year timestep a storm of a given return interval can happen more than once You give each return interval a storm severity value between 0 and 1 These are defined in the Windstorm Severity for X Year Return Interval Storm parameters A severity of 0 means no tree mortality a severity of 1 approaches 100 mortality The overall frequency of storms can remain constant or it can change through time It has been reported in Goldenburg et al 2001 that storm activity in the North Atlantic cycles along with sea surface temperature This behavior can thus change the storm frequency over time using either a sinusoidal pattern a constant linear change or b
329. ormation on what storms occurred during a run is saved in the Windstorm Results grid This grid lists how many storms occurred each timestep and the basal area and density killed of each species in that storm How to apply it Add this behavior to your run and apply it to saplings and or adults of any species If you wish to get results on storm events save the Windstorm Results grid data in a detailed output file You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Windstorm Harvest interface The harvesting interface allows SORTIE to work directly with another program SORTIE tells the other program what trees are eligible for harvesting and the other program replies with its choices This lets users write code for harvesting without having to modify SORTIE itself Warning this link between SORTIE and another program is inefficient It may be very slow when there are large numbers of trees It is for convenience not speed How it works You set up the Harvest Interface behavior using the Edit gt Harvest Interface window Parameters in this documentation are defined by their names on that screen You either create or find a separate program an executable that reads a text file of trees makes decisions about which to kill then writes those trees to kill to another text file You tell SORTIE where to find this executable using Path and filename of the executa
330. orms with a 5 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 10 Year Return Interval Storm The severity of storms with a 10 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 20 Year Return Interval Storm The severity of storms with a 20 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 40 Year Return Interval Storm The severity of storms with a 40 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 80 Year Return Interval Storm The severity of storms with a 80 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 160 Year Return Interval Storm The severity of storms with a 160 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 320 Year Return Interval Storm The severity of storms with a 320 year return interval as a value between 0 no mortality and 1 complete devastation Used by the Windstorm behavior Windstorm Severity for 640 Year Return Interval Storm The severity of storms with a
331. ose of calculating light direction Used by the GLI Map Creator behavior If the GLI light behavior is also used this value is not required Number of Azimuth Sky Divisions for GLI Points Creator Number of grid cells into which the sky is divided around the horizon for the purpose of calculating light direction Used by the GLI Points File Creator behavior If the GLI light behavior is also used this value is not required Number of Azimuth Sky Divisions for Quadrat Light Calculations Number of grid cells into which the sky is divided around the horizon for the purpose of calculating light direction Used by the Quadrat based light behavior If the GLI light behavior is also used this value is not required Quadrat GLI Always Calculate All GLIs Whether or not the Quadrat based light behavior should always calculate a GLI for all cells in the Quadrat GLI grid If false GLIs are only calculated when needed by a tree Set this value to true if you are planning to save and use maps of the Quadrat GLI grid If not leaving it to false makes SORTIE run faster Sail Light Maximum Shading Neighbor Distance in meters The radius in meters from a tree for which neighbors will be searched who can shade that tree Used only in the Sail Light behavior Sail Light Minimum Solar Angle in degrees The azimuth angle in degrees below which it is assumed trees will see no light Used only by the Sail Light behavior Snag Age Class 1 Amount Canopy Light Tra
332. oth together In the figure below curve 1 is a basic sine wave Curve 2 has a sinusoidal pattern plus an upwards trend 4 4 e Curve 1 14 Curve 2 3 P K K 5 3 A A Aba 9 X ra r ce P nO E a tk y F ES d Tos act LI T T 1 7 T 0 2 3 4 D The actual probability of an individual storm that takes place in a storm regime with a cyclical frequency is P Fi P F d sin m x 8 2f mx i Note that the new probability is a baseline probability P F multiplied by a value that adjusts the probability according to where the model is at the given time in the frequency cycle The frequency cycle multiplier is itself made up of two terms added together The first term is the sine curve cycling and the second term is the overall trend upwards or downwards Terms in the equation e P F is this timestep s annual probability of a storm of the ith return interval adjusted according to the frequency cyclicity e P F is the baseline probability of a storm of the ith return interval that is the inverse of the values specified in the Windstorm Severity for X Year Return Interval Storm parameters e x 4 t Sr where tis the number of years since storms started and Sr is the Windstorm Sea Surface Temperature Cyclicity Period Years parameter e disthe Windstorm Storm Cyclicity Sine Curve d parameter which controls the sine curve s amplitude e
333. ou also meet all of these conditions e a You must cause the modified files to carry prominent notices stating that you changed the files and the date of any change e b You must cause any work that you distribute or publish that in whole or in part contains or is derived from the Program or any part thereof to be licensed as a whole at no charge to all third parties under the terms of this License e c If the modified program normally reads commands interactively when run you must cause it when started running for such interactive use in the most ordinary way to print or display an announcement including an appropriate copyright notice and a notice that there is no warranty or else saying that you provide a warranty and that users may redistribute the program under these conditions and telling the user how to view a copy of this License Exception if the Program itself is interactive but does not normally print such an announcement your work based on the Program is not required to print an announcement These requirements apply to the modified work as a whole If identifiable sections of that work are not derived from the Program and can be reasonably considered independent and separate works in themselves then this License and its terms do not apply to those sections when you distribute them as separate works But when you distribute the same sections as part of a whole which is a work based on the Program the distribution of the
334. ou are not including storms in your run Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Neighbor Storm Damage eta Medium 0 1 The fraction to which a neighbor s competitive effect is reduced when the neighbor has sustained medium storm damage Set this to 1 if you are not including storms in your run Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Shading Effect Coefficient m The coefficient in the shading effect equation Set this value to 0 if you do not wish to use shading Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Shading Effect Exponent n The exponent in the shading effect equation If you set the NCI Shading Effect Coefficient m parameter to 0 this value is ignored Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Size Effect Mode in cm X0 The mode of the size effect curve Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Size Effect Variance in cm Xb The variance of the size effect curve Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Size Sensitivity to NCI gamma The sensitivity of a tree s growth rate to its DBH Set this to 0 to remove the DBH term altogether Used in
335. ou will choose a growth behavior All submodels from the old model have been translated to behaviors in the new model They may have been slightly generalized and given different names but when you read the documentation on the individual behaviors you should be able to find the ones you want Then read about the new parameter files Read about your output options with the topics on summary output files and detailed output files You can load an old parameter file into SORTIE ND up to version 6 04 Download and install a version and load your old parameter file using the File menu You can then save it in a new format This file will then be readable by newer versions of SORTIE ND If you need help each version of SORTIE ND has its own user manual that will guide you through Last updated 07 Jun 2005 02 37 PM Run setup and progression A run is a single model simulation It starts at time zero and continues until its defined endpoint is reached A run is defined by its parameter file This tells the model how long to run and what to do during the run The basic time unit in the run is the timestep You set the length and number of the timesteps Each timestep the model asks each behavior to do its work whatever that work may be The behaviors are run in the order in which they are listed in the parameter file The model counts off the timesteps until it has finished the specified number then cleans up its memory and shuts down Run pa
336. ounds created by fallen dead trees For each fallen tree the amount of new tip up mounds area is calculated as OA x r F where e OA is the new tip up mounds area in square meters e ris the tree trunk radius in meters e Fis the Uprooted Tree Radius Increase Factor for Root Rip Out parameter which accounts for the effects of root disturbance A tree contributes all of its new tip up mounds area to the grid cell where it was rooted Saplings never create tip up mounds Fallen adults create new tip ups with the probability specified in the Proportion of Fallen that Uproot parameter snags contribute at the probability in Proportion of Fallen that Uproot Relationship 7 results from harvests only Scarified soil creation results from the use of machinery and skidding during a harvest How it works The relative proportions of each kind of substrate are tracked in the Substrate grid You can change this grid s cell resolution Within each cell the grid keeps track of each substrate s area as a proportion of the total area Each timestep Substrate looks for harvest events and tree death It finds harvest events by looking in the Harvest grid it finds dead trees by looking for the flag set by the Mortality behaviors Harvest events completely replace existing substrate with their substrate signatures Each dead tree rolls the dice with a random number to determine if it falls and if it falls if it exposes tip up mounds substrate Al
337. ount of diameter growth increase Assume that the number of years per timestep is X The amount of diameter increase is divided by X Then the lognormal growth equation is calculated X times with the diameter incremented by the amount of diameter increase per timestep each time The total height increment is the sum of the X individual height increments How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter only growth behavior applied Behavior reference string lognormal growth height only Lognormal with exponential shade reduction diam with auto height How it works This behavior calculates annual height increases as Ju inidiam 36l Y 0 4 1 myer rye h tris Qc 4 e o ae j 100 where e Y amount of height increase in cm e a Lognormal Diam Growth Increment at Diam 36 in mm yr a parameter e b Lognormal Diam Shape Parameter b parameter e c Lognormal Diam Effect of Shade c parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults Assume that the number of years per timestep is X In order to find the total amount of diameter increase for a timestep the lognormal growth equation is calculated X times with the
338. over behavior runs the dead trees will be removed at that time These dead trees are available as input to Substrate The actual amount of trees killed may not be exactly what was specified since the Episodic Mortality behavior can t remove part of a tree to get the numbers right The behavior stores how much it actually cut each timestep in the Mortality Episode Results grid To optimize the accuracy of the behavior use larger kill ranges and high proportions of the plot area to make sure there is a big pool of trees to choose from How to apply it To define planned mortality episodes use the Edit Episodic Events Window Behavior reference string episodic mortality Storm disturbance This behavior simulates the effects of wind damage from storms Its function is to assess whether or not storms have occurred in the current timestep and if they have how much damage they have caused This behavior does not actually cause any trees to be damaged that is the function of the Storm damage applier behavior How it works There are two ways storms can occur randomly according to a storm regime of your choosing or scheduled at certain timesteps Both methods can be used together Random storms according to a storm regime Storm severity is assessed on a scale from 0 no damage to 1 total damage This interval of storm severity values is subdivided into ten storm severity classes You assign each storm severity class a return i
339. ow it works The BC mortality model evaluates the following function to determine the probability of a tree s mortality f nor Tk mou m 1 g w m Je where e mis the probability of mortality e Tis the number of years per timestep e mis the Mortality at Zero Growth parameter e mz is the Light Dependent Mortality parameter e Gis amount of radial growth in mm yr added to the tree s diameter during T BC mortality is described in Kobe and Coates 1997 How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a growth behavior applied Behavior reference string bcmortality Browsed Stochastic Mortality This simulates the effects of herbivory by allowing different background mortality rates for browsed and unbrowsed trees How it works Whether or not a tree is browsed is determined by the Random browse behavior For each tree if it has not been browsed that species s Juvenile Background Mortality Rate parameter is used if it has been browsed the species s Browsed Juvenile Background Mortality Rate parameter is used A random number is compared to the appropriate rate to decide if the tree dies How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have the Random browse behavior applied
340. owing Puerto Rico semi stochastic growth to set a negative tree DBH in some circumstances e Fixed a bug that caused designing complicated subplots to slow and eventually crash when too many cells were clicked e Changed the way neighbor storm damage was treated for NCI growth and NCI mortality Version 6 06 released March 31 2006 Note If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 05 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 06 e New allometry equation for saplings the power diameter height relationship e Updated allometry equation the DBH diameter at 10 cm relationship now has an intercept term e New seed survival behavior Storm Light Dependent Seed Survival which works with the light levels produced by the Storm Light behavior e New mortality behavior Stochastic Bi Level Mortality which uses two different mortality rates in high and low light e New disturbance behavior Windstorm which follows a given storm regime to produce storms and kill trees as a result e New growth behavior Basal Area NCI Growth which calculates tree growth as a function of neighborhood basal area e New light behavior Basal Area Light which calculates light levels as a function of neighborhood basal area of angiosperms and conifers e New disturbance behavior Storm Killer that ki
341. owth How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and the Random browse behavior applied Behavior reference string browsed relative growth diam only Michaelis Menton with negative growth height only This behavior uses a modified Michaelis Menton function to do height growth How it works The amount of height growth is calculated as aGLi Y E GLI 4 0 BP where e Yis the amount of height growth for one year in cm e GLI is the light level e ais the Michaelis Menton with Negative Growth Alpha parameter e fis the Michaelis Menton with Negative Growth Beta parameter e yis the Michaelis Menton with Negative Growth Gamma parameter e is the Michaelis Menton with Negative Growth Phi parameter e Histhe tree s height in cm If the timestep is more than one year long growth is recalculated for each year of the timestep increasing the height each time How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter growth behavior applied Behavior reference string Michaelis Menten negative growth height only Michaelis Menton with photoinhibition height only This behavior uses a modified Michaelis Menton function to do height grow
342. owth the behavior makes all necessary conversions to diameter growth How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string constradialgrowth diam only NCI growth diam with auto height This behavior uses the effects of neighbor competitiveness to influence growth rates NCT stands for neighborhood competition index A tree s maximum potential growth rate is reduced due to competitiveness and several other possible factors You can use certain parameter values to turn these influences on and off to reflect the conditions appropriate for your run How it works For a tree the amount of growth per year is calculated as Growth Max Growth Size Effect Shading Effect Crowding Effect Damage Effect Max Growth is the maximum diameter growth the tree can attain in cm yr entered in the NCI Maximum Potential Growth cm yr parameter Size Effect Shading Effect Crowding Effect and Damage Effect are all optional factors which act to reduce the maximum growth rate and will vary depending on the conditions a tree is in Each of these effects is a value between 0 and 1 Size Effect is calculated as where e DBH is of the target tree in cm e Xo is the NCI Size Effect Mode in cm X0 parameter e Xj is the NCI Size Effect
343. owth amount is added to the tree s DBH Height is calculated according to the appropriate allometric equation How to apply it This behavior can be applied to saplings and adults of any species It cannot be applied to seedlings Behavior reference string ncibagrowth Basal area NCI growth diam only This behavior works exactly like the Basal area NCI growth diam with auto height behavior to calculate an amount of diameter increase How to apply it This behavior can be applied to saplings and adults of any species It cannot be applied to seedlings Behavior reference string ncibagrowth diam only Linear growth height only How it works This behavior calculates an amount of height growth as Y a b GLI T where e Y amount of height increase in cm e a Simple Linear Height Intercept in cm yr a parameter e b Simple Linear Height Slope b parameter e GLI global light index as a percentage between 0 and 100 calculated by a light behavior e T number of years per timestep How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter only growth behavior applied Behavior reference string simple linear growth height only Linear growth diam with auto height How it works This behavior calculates an amount of diameter growth as Y a b GLI T w
344. p how much light is left to reach the tree Only tree crowns block light in the model Trunks do not shade Because seedlings are modeled as sticks with no crowns they don t shade either The first step in creating the simulated fisheye photo is to determine how far from the tree to search for shading neighbors For GLI this is done by comparing the height of the fisheye photo to the maximum possible tree height and determining how far away a tree of this height could be and still have its crown appear in the sky above the minimum solar angle All trees within this search radius that are taller than the height of the fisheye photo and thus can be seen by it are added into the photo For Sail Light the search distance is specified by the user To add a shading neighbor to the photo the light behavior determines the amount and location of sky covered by its crown In a GLI calculation neighbor crowns are approximated as cylinders In a Sail Light calculation neighbor crowns are approximated as 2 D rectangles with a width equal to their crown diameter and a height equal to their crown height or as an added simplification the behavior can assume the crowns of shading neighbors extend all the way to the ground The amount of radiation received from the portion of the sky blocked by the shading neighbor is multiplied by the light transmission coefficient for the neighbor s species The effects of multiple neighbors blocking the same patch of
345. parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Tree Fall Alpha Tree fall alpha parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Tree Fall Beta Tree fall beta parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Tree Fall Delta Tree fall delta parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Tree Fall Iota Tree fall iota parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Tree Fall Lambda Tree fall lambda parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Tree Fall Theta Tree fall theta parameter Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Live To Class 1 Prob 0 1 Probability of a snag that did not fall moving from live killed this timestep to decay class 1 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Live To Class 2 Prob 0 1 Probability of a snag that did not fall moving from live killed this timestep to decay class 2 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Live To Class 3 Prob 0 1 Probability of a snag that did not fall moving from live killed this timestep to decay class 3 Used by the Snag Decay Class Dynamics behavior Snag Decay Class Dynamics Live To Class 4 Prob 0 1 Probability of a snag that did not fall moving fr
346. pdated separately using another behavior How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied You must also enter a map of second resource values into the Resource grid Behavior reference string Double resource relative growth diam only Absolute growth behaviors Several behaviors apply an absolute growth version of the Michaelis Menton function Absolute growth is calculated with the equation qAmocryrsy AT GE A TH JL where e Yc loglO radial growth 1 e SF is the suppression factor e Ais the Asymptotic Diameter Growth A parameter e Sis the Slope of Growth Response S parameter e GLI is the global light index calculated by a light behavior Amount of diameter growth per timestep is calculated as growth 10 1 2 10 T where T is the number of years per timestep The absolute growth behaviors also take into account suppression status A tree is considered suppressed if its growth rate for the previous timestep falls below a certain threshold That threshold is the rate of growth at which X of juveniles die where X is a user settable parameter The threshold is calculated for each species by solving the BC mortality equation for G growth where m is the threshold growth rate A tree s suppression state is
347. pecify the appropriate correction factor in the Dimension Analysis Correction Factor parameter This value is multiplied by the final biomass value How to apply it Apply this behavior to saplings adults or snags of any species and enter parameters in the Parameter edit window This behavior does not automatically create output Once you have added this behavior to your run the Detailed output setup window for trees will have a tree data member called Tree Biomass Add this to your detailed output file to output biomass in metric tons Mg You can then view charts and graphs with the resulting volume data using data visualization on your detailed output file Behavior reference string tree biomass calculator Foliar Chemistry This behavior calculates chemistry components as a function of DBH The components calculated are N P specific leaf area SLA percent acid detergent fiber percent acid detergent cellulose percent acid detergent lignin percent condensed tannins and total phenolics How it works For each tree the foliar dry weight is calculated as F a DBH where e F foliar dry weight in kg e az the Foliar Chemistry Foliar Weight a parameter e b the Foliar Chemistry Foliar Weight b parameter e DBH trees DBH in cm For each component the amount is the tree s foliar dry weight multiplied by the parameter for that component s concentration The weight of each component in metric tons is summed f
348. pending on the conditions a tree is in Each of these effects is a value between 0 and 1 Size Effect is calculated as where e DBH is of the target tree in cm e Xois the NCI Size Effect Mode in cm X0 parameter e Xj is the NCI Size Effect Variance in cm Xb Crowding Effect is calculated as CE exp C DBH BA BADiv where e Cis the NCI Crowding Effect Slope C parameter e DBH is of the target tree in cm e yisthe NCI Size Sensitivity to NCI gamma parameter for the target tree s species e Dis the NCI Crowding Effect Steepness D parameter e BA is the sum of the basal areas in square cm of eligible neighbors e BADiv is the Basal Area NCI BA Divisor parameter When calculating BA this behavior uses neighbors of all species out to the distance set in the NCI Max Radius of Crowding Neighbors in m parameter The neighbors must have a DBH larger than the values set in the NCI Minimum Neighbor DBH in cm parameter If the Basal Area NCI Use Only Larger Neighbors parameter is set to true they must also have a DBH larger than the target tree s DBH Seedlings and snags never contribute to BA The amount of growth is in cm year For multi year timesteps the behavior will calculate total growth with a loop Each loop iteration will increment DBH for one year For each year any portion of the growth equation with DBH as a term is recalculated with the previous year s updated DBH value The final total gr
349. petition Harvest Amount of Harvest Per Species 0 1 parameter If all values are set to 1 this means that species identity is ignored when selecting individuals for harvesting Otherwise the species are cut in the proportions entered The values should add up to one For example if Species 1 is set to 0 25 and Species 2 is 0 75 then Competition Harvest will try to make 25 of the basal area removed come from Species individuals and 75 come from Species 2 Of course there are trade offs between removing the most competitive individuals and making sure specific species targets are met When selecting trees for harvesting Competition Harvest removes the individuals that have the greatest competitive effects on their neighbors The neighbors of an individual are all sapling and adult trees within the radius specified in the Competition Harvest Max Radius of Competitive Effects m parameter Seedlings snags and dead trees never count as neighbors The competitive effect COE of tree i on the N neighbors surrounding it is T FO ue l i N D B E COR gt exp k l K DBH j jx A x j f Fi gh J E 1 di 5 where e Cis the Competition Harvest C parameter for the species of neighbor j e Disthe Competition Harvest D parameter for the species of neighbor j e ais the Competition Harvest DBH Effect of Targets alpha parameter for the species of neighbor j e fis the Competition Harvest Distance Effect of Targets
350. presence or absence of parent trees of that species makes no difference to the number of seeds To simulate synchrony in masting species can be collected into masting groups The decision to mast or not to mast using the binomial distribution is performed once for each group using the first species in the group s p value The number of seeds per square meter is established as for a single species but those seeds are divided amongst the group s species according to the relative basal area of adults of each species in the plot If there are no trees of any of the group s species the seeds are divided equally amongst the species How to apply it Apply this behavior to adults of the species you wish to use Behavior reference string masting non spatial disperse Last updated 05 Mar 2010 11 25 AM Seed predation behaviors Seed predation occurs after seed dispersal has occurred and serves to reduce the number of seeds by simulating seed consumption by predators In this document Seed predation parameters Functional response seed predation behavior Neighborhood seed predation behavior Functional response seed predation behavior linked Neighborhood seed predation behavior linked Seed predation parameters e Func Resp Demographic Efficiency Season 1 The seed predator population demographic efficiency for season 1 Used by the Functional response seed predation behavior e Func Resp Demographic Efficiency Season
351. ps that are longer than one year the behavior repeats the random number test for each year in the timestep This process is repeated for each storm severity class separately This means that multiple storms can occur in a single timestep and if the timestep is longer than one year there can be multiple storms in the same severity class Scheduled storms You can also schedule storms to occur at certain timesteps Use the Edit Scheduled Storms window to do this You specify the year NOT the timestep you want the storm to occur and a minimum and maximum severity for each The actual storm severity will be a random number between the maximum and minimum You can schedule as many as you want including multiple storms per timestep If there is also a storm regime present non zero values for the return intervals those storms can also occur The storm regime storms can also happen between scheduled storms If a storm occurs the behavior calculates the amount of damage that occurs A storm s damage index severity is randomly chosen within the boundaries of its severity class The damage is stored in a grid called Storm Damage The final output of the behavior is a map of storm damage severity across the plot as an index between 0 and 1 If multiple storms occur each storm s severity is recorded separately The way storm damage is calculated depends on two things the pattern of storm susceptibility across the plot entered in the Plot S
352. py probability distribution function is lognormal Used by the Gap spatial disperse and Non gap spatial disperse behaviors Lognormal Canopy X The standard deviation of the lognormal function under canopy conditions or under non masting conditions in the case of Masting spatial disperse see equation below This is only required if the canopy probability distribution function is lognormal Used by the Gap spatial disperse and Non gap spatial disperse behaviors Lognormal Gap Annual STR The annual STR value Standardized Total Recruits or all seeds produced by a 30 cm DBH tree in one year for the lognormal function under gap conditions see equation below This is only required if the gap probability distribution function is lognormal Used by the Gap spatial disperse behavior Lognormal Gap Beta The for the lognormal function under gap conditions see equation below This is only required if the gap probability distribution function is lognormal Used by the Gap spatial disperse behavior Lognormal Gap X The mean of the lognormal function under gap conditions see equation below This is only required if the gap probability distribution function is lognormal Used by the Gap spatial disperse behavior Lognormal Gap X The standard deviation of the lognormal function under gap conditions see equation below This is only required if the gap probability distribution function is lognormal Used by the Gap spatial disperse behavior Mast NS Disp
353. r How to apply it Apply this behavior to saplings adults or snags of any species This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup window will list the Storm Killed Partitioned Biomass grid You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Storm Killed Partitioned Height Biomass Tree Age This behavior calculates tree age How it works The age of a tree in years is kept in a tree data member called Tree Age and updated each timestep If this behavior is after the establishment behaviors new seedlings will have an age equal to one timestep on the timestep they are created Some trees can be created at the beginning of a run either in a tree map or to provide a specified initial tree density These trees are given an age of 10000 so they can be easily distinguished from trees created during a run If a tree map is provided and the trees are specifically given an age in the map that age is kept and they are not re assigned an age of 10000 This behavior may not be applied to snags since they have a different age counter How to apply it Apply this behavior to the trees for which you want to track age You can then save the Tree Age data in a detailed output file for analysis Behavior reference string Tree Age Calculator Tree Bole Volume Calculator This beha
354. r Mat e eis the Non Spatial Density Dep Inst Crown Radius e parameter e fis the Non Spatial Density Dep Inst Crown Radius f parameter wow e gis the Non Spatial Density Dep Inst Crown Radius g parameter e his the Non Spatial Density Dep Inst Crown Radius h parameter e iis the Non Spatial Density Dep Inst Crown Radius i parameter e jis the Non Spatial Density Dep Inst Crown Radius j parameter e DBH is the DBH of the tree in cm e Height is the tree height in meters e STPH is number of stems per hectare of adult trees within the entire plot e BAPH is the basal area in m per hectare of adult trees within the entire plot e BAL is the sum of the basal area of all trees taller than the height of the target tree in m per hectare The NCI crown depth and radius relationships This calculates crown dimensions as a function of tree size and local crowding The equations are the same for crown depth and crown radius but they each have separate parameters The crown dimensions are calculated as CR CD Max CR Max CD Size Effect Crowding Effect where e CR is the crown radius in m e CD is the crown depth in m e Max CR is the NCI Crown Radius Max Potential Radius m parameter e Max CD is the NCI Crown Depth Max Potential Depth m parameter Size Effect is calculated as SE 1 exp d DBH where e SE is the size effect between 0 and 1 e dis either the NCI Crown Depth Size E
355. r either Adult Reverse Linear Function Intercept Sapling Reverse Linear Function Intercept or Seedling Reverse Linear Function Intercept e bis the appropriate reverse linear slope parameter either Adult Reverse Linear Function Slope Sapling Reverse Linear Function Slope or Seedling Reverse Linear Function Slope e diam is DBH in cm for saplings and adults or diamo in cm for seedlings The power diameter height relationship The power diameter height relationship relates height and diameter with a power function Since it uses diameter at 10 cm NOT DBH it is active for saplings only The power diam height function is height a dj where e height is tree height in m e ais the Power Function a parameter e bis the Power Function Exponent b parameter e djo is diameter at 10 cm in cm Last updated 29 Feb 2008 10 33 AM Tree data member list This is a list of the possible data that a tree can have You can save this data in a detailed output file by using the Setup tree save options window Data that is always present Some data are fundamental to a tree and are always available for saving They are e X The coordinate of the tree in meters on the X axis in the SORTIE plot e Y The coordinate of the tree in meters on the Y axis in the SORTIE plot e DBH The diameter at breast height of a tree in cm This does not apply to seedlings e Diameter at 10 cm diam10 The tree s diameter at 10 cm hei
356. r Neighbors Whether to use all neighbors larger than the minimum DBH false or only neighbors larger than the target tree true Used in the Basal area NCI growth behaviors Browsed Asymptotic Diameter Growth A Asymptote of the Michaelis Menton growth function at high light when a plant has been browsed Used by the Browsed relative growth behavior diam with auto height and Browsed relative growth behavior diam only behaviors Browsed Slope of Growth Response S Slope of the Michaelis Menton growth function at zero light when a plant has been browsed Used by the Browsed relative growth behavior diam with auto height and Browsed relative growth behavior diam only behaviors Browsed Diameter Exponent The diameter exponent for growth when a plant has been browsed Used by the Browsed relative growth behavior diam with auto height and Browsed relative growth behavior diam only behaviors Double resource Influence of Resource C The parameter governing the influence of the second resource on the double resource Michaelis Menton equation Used by the Double resource relative growth diam with auto height and Double resource relative growth diam only behaviors Include Snags in NCI Calculations Whether or not to include snags when finding competitive neighbors for NCI Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors Length of Current Release Factor Controls the magnitude of the
357. r by patents or by copyrighted interfaces the original copyright holder who places the Program under this License may add an explicit geographical distribution limitation excluding those countries so that distribution is permitted only in or among countries not thus excluded In such case this License incorporates the limitation as if written in the body of this License 9 The Free Software Foundation may publish revised and or new versions of the General Public License from time to time Such new versions will be similar in spirit to the present version but may differ in detail to address new problems or concerns Each version is given a distinguishing version number If the Program specifies a version number of this License which applies to it and any later version you have the option of following the terms and conditions either of that version or of any later version published by the Free Software Foundation If the Program does not specify a version number of this License you may choose any version ever published by the Free Software Foundation 10 If you wish to incorporate parts of the Program into other free programs whose distribution conditions are different write to the author to ask for permission For software which is copyrighted by the Free Software Foundation write to the Free Software Foundation we sometimes make exceptions for this Our decision will be guided by the two goals of preserving the free status of all derivati
358. r hectare SORTIE will calculate the actual amount of basal area to remove by multiplying the cut amount by the area to which the harvest is applied SORTIE will work its way down the trees in the cut area in size order removing each one that brings the amount of basal area removed closer to the target amount without going over If the size class range and the cut area are both large the amount of basal area removed is likely to be very close to the target Diameter Range s to cut Enter the size class ranges you are cutting You must enter at least one but in order to enter more than one you must specify Partial cut under Cut type For each size class enter the minimum and maximum DBH and the amount to cut in that range The units of amount to cut will depend on what you have entered in Cut amount type Cut ranges may not overlap Choosing the area to which to apply the harvest To specify the plot area to which to apply the harvest select the appropriate cells on the map Cells are each 8 meters by 8 meters Selected cells will show up in color and unselected cells will be white You can click and drag to mark out an area or click on individual cells Clicking or dragging on selected colored cells causes them to become unselected white 07 Dec 2004 10 27 AM Edit Mortality Episode Window This window is reached from the Edit Episodic Events Window by clicking on the Mortality Episodes tab and selecting New or Edit
359. r of the tree trunk inside the bark at a particular height above the ground the taper equation is used This equation comes from Kozak 2004 Forest Chronicle 80 507 515 it s the 2002 model The equation is z h 1 e DH n b x 1 th 1 D tb ye b _ dg DLO EL Geli d where X 0 hi H 1 p e Qiz1 h H e p 13 H e zi h H proportional height above the ground e Disthe outside bark diameter in cm at breast height 1 35 m equation below e Histhe total tree height m e hiis the height from the ground m at which to calculate the diameter inside the bark e diis the inside bark diameter at h height from ground cm e dois the Taper Equation Initial Multiplier a0 parameter e ajisthe Taper Equation DBH Exponent a1 parameter e dis the Taper Equation Height Exponent a2 parameter e bj isthe Taper Equation X Exponent 1 b1 parameter e bis the Taper Equation X Exponent 2 b2 parameter e b3is the Taper Equation X Exponent 3 b3 parameter e b4is the Taper Equation X Exponent 4 b4 parameter e bsis the Taper Equation X Exponent 5 b5 parameter e bgisthe Taper Equation X Exponent 6 b6 parameter SORTIE ND considers its DBH parameter to be diameter without bark To find the diameter outside the bark the equation is D a amp DBH a3DBH where e Dis the diameter outside the bark in cm e DBH is the diameter inside the bark in cm SORTIE s DBH e ajisthe Diameter Outs
360. r the rest of your parameter file is complete so that you have full access to data members Open Edit gt Harvest Interface and complete the setup This adds the harvest interface behavior to your run To remove it use the Model flow window Behavior reference string Harvest Interface Last updated 28 Jan 2008 02 22 PM Light behaviors In this document Snags in light calculations Light parameters Average Light behavior Basal Area Light behavior Beer s law light filter behavior Constant GLI behavior Gap Light behavior GLI light behavior GLI Map Creator behavior GLI Points File Creator behavior Quadrat based GLI light behavior Sail light behavior Storm Light behavior Light is the key resource for trees in the SORTIE model A tree s growth and therefore its probability of mortality and reproductive ability is a function of the amount of light it receives Consequently great care is taken in SORTIE to calculate the amount of light that each tree gets in fact these calculations take up more processing time than any other during model runs There are two basic light index types used by SORTIE to describe the amount of light a tree receives The first is the Global Light Index or GLI GLI is the percentage of full sun received at a point The second index is the Sail Light index which is the proportion of shade seen at a point from none to total The name Sail Light comes from the fact that the s
361. r this parameter is used and the appropriate value and units for this parameter depend on the values entered in the Dimension Analysis Equation ID Dimension Analysis DBH Units and Dimension Analysis Biomass Units parameters Used by the Dimension Analysis behavior Dimension Analysis Parameter e The value for e in a biomass equation Whether this parameter is used and the appropriate value and units for this parameter depend on the values entered in the Dimension Analysis Equation ID Dimension Analysis DBH Units and Dimension Analysis Biomass Units parameters Used by the Dimension Analysis behavior Dimension Analysis Use Correction Factor Whether or not the chosen biomass equation requires a correction factor to be multiplied by the result Used by the Dimension Analysis behavior Foliar Chemistry Cellulose Concentration The proportion of foliar dry weight 0 1 that is acid detergent cellulose Used by the Foliar Chemistry behavior Foliar Chemistry Fiber Concentration The proportion of foliar dry weight 0 1 that is acid detergent fiber Used by the Foliar Chemistry behavior Foliar Chemistry Foliar Weight a The a parameter in the equation for foliar dry weight Used by the Foliar Chemistry behavior Foliar Chemistry Foliar Weight b The b parameter in the equation for foliar dry weight Used by the Foliar Chemistry behavior Foliar Chemistry Lignin Concentration The proportion of foliar dry weight 0 1 that is a
362. rall frequency cycling For no cyclicity at all set this term to 1 For no trend in cyclicity set this term to 0 Used by the Windstorm behavior Windstorm Storm Cyclicity Trend Function Slope m Parameter that controls the trend of cyclicity of storm frequency This value is part of the trend term and is the slope at which frequency cycling increases or decreases For no cyclicity or no trend in cyclicity set this term to 0 Used by the Windstorm behavior Windstorm Storm Intensity Coefficient c The c value in the equation used to determine the mortality of an individual tree as a result of a storm Used by the Windstorm behavior Windstorm Timestep to Start Storms The first timestep that storms are allowed to occur Used by the Windstorm behavior Competition Harvest Competition Harvest performs harvests in a way that preferentially removes the most competitive individuals in a plot It also decides when and how much to harvest based on criteria you give it How it works Competition Harvest performs harvests when specific conditions are met in the plot The amount harvested is also based on conditions in the plot There are three ways to specify the timing and amount of harvesting The desired method is set in the Competition Harvest Harvest Type parameter The harvest types are Fixed basal area threshold cutting a specific amount of basal area Set the harvest type parameter to Fixed BA Amt A harvest occurs whenev
363. rameters e Number of timesteps The number of timesteps for which to run the model e Number of years per timestep The length of the timestep in years It is recommended that this value be a whole number e Random seed An integer to use as the seed for SORTIE s random number generator Zero means that SORTIE chooses its own new seed every time and repeat runs with the same parameter file will come out different Any non zero value triggers one particular sequence of random numbers In that case repeat runs with the same parameter file will be the same Plot In this document The SORTIE coordinate system The Torus Forest Plot parameters The plot in SORTIE is the simulation of the physical space in which the model runs You can think of the plot as a rectangle although it s not really more on that later You tell the plot what its east west and north south dimensions are It s useful to keep your plot size in mind when you are setting up your parameters and viewing your output since many SORTIE values are per hectare units The size of your plot also makes a difference in run time the larger the plot the longer the run The absolute minimum size of a plot is 100 meters by 100 meters 200 meters by 200 meters is a more realistic minimum It is a careful balance to find a plot size big enough to see the effects you are interested in but not so big that your runs take too long to be practical Since the length of the run depends
364. rate favorabilities correctly when the Dispersed Seeds and Substrate grids have different grid cell resolutions Once this process is complete the number of surviving seeds for each species is assigned back to the Dispersed Seeds grid How to apply it This behavior may be applied to seeds of any species A species to which this is applied must also have the Gap spatial disperse behavior applied Also the Substrate behavior must be used in the run Behavior reference string Gap Substrate Seed Survival Substrate Based Seed Survival With Microtopography This behavior assesses seed survival based on substrate conditions allowing for site microtopography to influence seed survival In this scenario the plot is divided into small scale mounds The portion of the plot that is slightly elevated is mound The portion of the plot between the mounds at lower elevation is ground The size of the mounds and their height is not important How it works The area of the plot that is mound and the area that is ground are in fixed relative proportion to each other This fixed proportion is entered in the Proportion of Plot Area that is Mound parameter Each grid cell in the Substrate grid has been divided by the Substrate behavior into six substrate types each of those types is further divided into mound and ground according to the fixed proportion making twelve total substrate types For example if 20 of a grid cell s area is for
365. ree density Trees of any size except seedlings can be cut When the Episodic Mortality behavior is determining which trees to remove it starts by finding the largest tree in the area of the plot affected by the mortality episode It works its way through the trees from largest to smallest assessing whether to kill each one until it either runs out of trees or reaches its cut target This process preferentially removes the largest trees in each size range unless the event is defined by a percentage of density in which case all trees in the target size ranges have an equal probability of being killed If Episodic Mortality is removing a percentage of basal area or an absolute amount of basal area it will only kill a tree if its basal area will not cause the total to be more than the target This means that for basal area defined cuts the behavior may skip some bigger trees and cut smaller ones in order to more exactly cut its target Each species is cut separately So a request to remove 20 of three species will remove 20 of each of them no matter what their relative proportions to each other What happens to dead trees depends on the rest of the run If there are other behaviors in the run that deal directly with snags or create them then the run is snag aware In this case all adult trees killed are turned into snags saplings never become snags If the run is not snag aware then the trees are marked as dead When if the dead tree rem
366. required However if your run is snag aware and snags may be created you must supply the snag light transmission parameters Light parameters e Amount Canopy Light Transmission 0 1 Fraction of light transmitted through the tree crown for each species Expressed as a fraction between 0 and 1 A value must be provided for all species even if they don t all use light e Basal Area Light Angiosperm b Parameter The b value used to calculate mean GLI from angiosperm basal area Used by the Basal Area Light behavior e Basal Area Light Angiosperm c Parameter The c value used to calculate mean GLI from angiosperm basal area Used by the Basal Area Light behavior e Basal Area Light Conifer b Parameter The b value used to calculate mean GLI from conifer basal area Used by the Basal Area Light behavior e Basal Area Light Conifer c Parameter The c value used to calculate mean GLI from conifer basal area Used by the Basal Area Light behavior e Basal Area Light Lognormal PDF Sigma Sigma value for the lognormal probability distribution Used by the Basal Area Light behavior e Basal Area Light Mean GLI a Parameter The a value used to calculate mean GLI from basal area Used by the Basal Area Light behavior e Basal Area Light Minimum BA Change for New GLI m2 The amount by which total basal area angiosperm plus conifer in square meters must change in order to trigger a new GLI calculation in a grid cell Use
367. rid Quadrat GLI grid Relative Neighborhood Density grid Resource grid Ripley s K grid Seed Predators grid Snag Decay Class Dynamics Basal Area grid Storm Damage grid Storm Killed Partitioned Biomass grid Storm Light grid Storm Susceptibility grid Substrate grid Substrate calcs grid Substrate Favorability grid Windstorm Results grid Years Since Last Harvest grid For more on what grids are see Grids Average Light This grid is created by the Average Light behavior It contains the averages of the values of the GLI Map grid It is important to set the cell sizes of the two grids exactly as you want them The default grid cell resolution is set to 8 m X 8 m Data in the grid Data member name Description GLI Average GLI value Basal Area Light This grid is created by the Basal Area Light behavior Each grid cell holds tree basal area data and a light level The grid cell resolution defaults to 8 m X 8 m You can set whatever new resolution you wish Data in the grid Data member name Description Light The light level as calculated by the Basal Area Light behavior Confr Basal Arei The basal area in square meters of conifers that count towards the light calculation Angiosperm Basal The basal area in square meters of angiosperms that count towards the Area light calculation Carbon Value This grid is created by the Carbon Value behavior It holds the amount of c
368. rid is created by the Snag Decay Class Dynamics behavior It holds the amount of basal area for live and cut trees Maps and grid resolution changes for this grid are not honored Data in the grid Data member aT Description name Live BA Per Ha The amount of basal area in square meters per hectare of live adults Cut BA Per Ha The amount of basal area in square meters per hectare of trees harvested this timestep Storm Damage This grid is created by the Storm disturbance behavior Each grid cell holds a storm damage index between 0 and 1 The grid resolution default is 8 m X 8 m You can change this to whatever you wish but if you are also using the grid Storm Susceptibility the resolutions must match Data in the grid Data member Description name The mean storm damage index for all storms occurring in the past timestep Damage Index from 0 no damage to 1 total damage Time Since Last The number of years since the last storm occurred in this cell The last storm Storm is any storm at all of any strength Packages Data member name Description Single Storm Damage Index Storm damage index for a single storm event Storm Killed Partitioned Biomass This grid is created by the Storm Killed Partitioned DBH Biomass and Storm Killed Partitioned Palm Biomass behaviors This is where the amount of biomass is stored partitioned into leaf bole and branch if applicable biomass All data is stored raw no convers
369. rm Class 0 3 0 4 The return interval in years of storms of severity 0 3 0 4 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 4 0 5 The return interval in years of storms of severity 0 4 0 5 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 5 0 6 The return interval in years of storms of severity 0 5 0 6 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 6 0 7 The return interval in years of storms of severity 0 6 0 7 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 7 0 8 The return interval in years of storms of severity 0 7 0 8 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 8 0 9 The return interval in years of storms of severity 0 8 0 9 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 9 1 0 The return interval in years of storms of severity 0 9 1 0 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Selection Harvest Cut Range 1 Lower DBH cm The lower bound o
370. rm disturbance behavior Random Browse Annual Browse Probability 0 1 The annual probability from 0 to 1 of being browsed This is the mean probability if the probability is being varied each timestep Used by the Random Browse behavior Random Browse Probability PDF The PDF used to vary the browse probability None means the same probability is always used Normal means that each timestep for each species a new probability is drawn from a normal distribution Used by the Random Browse behavior Random Browse Browse Probability Standard Deviation If the probability is being varied each timestep according to a normal distribution this is the standard deviation of that distribution This value is ignored if the probability is not being varied Used by the Random Browse behavior Return Interval for Severity Storm Class 0 0 1 The return interval in years of storms of severity 0 0 1 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 1 0 2 The return interval in years of storms of severity 0 1 0 2 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Storm Class 0 2 0 3 The return interval in years of storms of severity 0 2 0 3 Set this to 0 to turn off storms of this severity Used by the Storm disturbance behavior Return Interval for Severity Sto
371. rmal random draw as follows C In GLIs o 7 2 where GLI is the mean GLI value calculated above and o is the Basal Area Light Lognormal PDF Sigma parameter This value is then used to produce a random lognormally distributed number from the following distribution J fing x J t y 1 i 2c 2 aX where is the value calculated above and o is the Basal Area Light Lognormal PDF Sigma parameter This number is the GLI value between 0 and 100 Once each Basal Area Light grid cell has gotten a GLI value trees to which this behavior applies get the value of GLI from the grid cell in which they are located How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string Basal Area Light Beer s law light filter How it works This behavior simulates a filter that reduces light according to Beer s Law Imagine a fog that hangs out on the forest floor and ends abruptly at a certain height All trees shorter than the top of the fog layer will have their light attenuated but not blocked completely The closer they get to the top of the fog the more light is let in The amount of light which actually gets through is calculated according to Beer s Law where transmission e where a is the Light Filter Light Transmission Coefficient parameter and z thickness of the filter in meters which is the distance from the light point to the top of the filter the Height of Lig
372. rse behaviors Seed Distribution The distribution method to be applied to seeds randomization Used by all disperse behaviors Choices are o Deterministic no randomization o Poisson use the number of seeds as the mean in a Poisson probability distribution function See the equation above o Normal use the number of seeds as the mean in a normal probability distribution function You must then supply a standard deviation for the function See the equation above o Lognormal use the number of seeds as the mean in a lognormal probability distribution function You must then supply a standard deviation for the function See the equation above o Negative binomial use the number of seeds as the mean in a negative binomial probability distribution function You must then supply a clumping parameter See the equation above Seed Dist Clumping Parameter Neg Binomial If you have chosen the negative binomial probability distribution function for Seed distribution this is the clumping parameter of the function in seeds per m If you have not chosen that PDFs then this parameter is not required Used by all disperse behaviors Seed Dist Std Deviation Normal or Lognormal If you have chosen the normal or lognormal probability distribution functions for Seed distribution this is the standard deviation of the function in seeds per m If you have not chosen these PDFs then this parameter is not required Used by
373. run as initial conditions in the current parameter file For more on entering the maps from a detailed output file the most likely source see the detailed output file topic Last updated 30 Mar 2005 02 44 PM Output in SORTIE By default no output occurs during a SORTIE run You set up output files and choose what data should be saved in them in order to perform data analysis There are two kinds of output files summary output files and detailed output files Summary output files save high level data for a run like population density and basal area Detailed output files save more detailed data in fact as much detail as you want to have they are very flexible To set up output choose Edit gt Output options Once you have produced output files you can ask SORTIE to display charts and graphs using the data visualization features You can also use certain kinds of output as initial conditions in subsequent runs Output strategies in SORTIE Choosing what output to save is a bit of an art form Save too much data and your files will be too large and very slow to process Save too little and you won t have the data you need after your run Here are some strategies to help you decide what to save What you save depends on what you want to look at Each chart that SORTIE can display requires a specific set of information You can see a list of chart types and what they require here Also be aware that for overall data
374. s This grid is called substratecalcs and is created by the Substrate behavior This grid is used for intermediate calculations when calculating the values in the Substrate grid The grid cell resolution must match Substrate s Data in the grid Data member Description name Amount of new RAN New tip up mounds area by grid cell in square meters Fresh logs added X timesteps ago up to the value in the Substrate parameter Maximum number of years that decay occurs converted to timesteps as a proportion of grid cell area Fresh logs X timesteps ago Substrate favorability This grid is created by either the Substrate Dependent Seed Survival No Gap Status or the Substrate Dependent Seed Survival With Gap Status behavior It holds the proportion of seeds expected to germinate on the substrate composite of the grid cell The cell resolution must match the Substrate grid above Data in the grid Data member name Description Favorability Index Species The proportion of seeds of Species X expected to germinate in X that cell Windstorm Results This grid is created by the Windstorm behavior It holds information on what windstorms happened during each timestep This grid has one cell for the whole plot It will ignore any changes you make to the resolution The data is held in grid packages There is one package for each storm event No package means no storms If this grid s data is saved in a detailed output f
375. s and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string constbagrowth diam only Constant radial growth diam with auto height How it works The amount of diameter increase is calculated from the constant radial increment The increase is calculated as follows Y g4 10 2 T where e Yis the amount of diameter growth in cm to add to the tree e gis the Adult Constant Radial Growth in mm yr parameter e Tis the number of years per timestep Tree height is allowed to update automatically according to the allometry equations Note that the increment parameter specifies radial growth the behavior makes all necessary conversions to diameter growth How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string constradialgrowth Constant radial growth diam only How it works The amount of diameter increase is calculated from the constant radial increment The increase is calculated as follows Y g4 10 2 T where e Yis the amount of diameter growth in cm to add to the tree e g4is the Adult Constant Radial Growth in mm yr parameter e Tis the number of years per timestep Note that the increment parameter specifies radial gr
376. s behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a height incrementing growth behavior applied Behavior reference string absunlim diam only Constant basal area growth diam with auto height How it works The amount of diameter increase is calculated from a constant basal area increment The increase is calculated as follows Y g diam 100 T where e Yis the amount of diameter increase in cm e gis the Adult Constant Area Growth in sq cm yr parameter e diam is the tree s diameter in cm e Tis the number of years per timestep Tree height is allowed to update automatically according to the allometry equations How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior applied Behavior reference string constbagrowth Constant basal area growth diam only How it works The amount of diameter increase is calculated from a constant basal area increment The increase is calculated as follows Y g diam 100 T where e Yis the amount of diameter increase in cm e gis the Adult Constant Area Growth in sq cm yr parameter e diam is the tree s diameter in cm e Tis the number of years per timestep How to apply it This behavior can be applied to seedlings sapling
377. s for more on GLI calculations Used by the Light Dependent Seed Survival behavior Clear Sky Transmission Coefficient Used to determine the amount of solar radiation seen at the plot location See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior First Day of Growing Season for GLI Light Calculations The first day of the growing season as a Julian day number between 1 and 365 Seeds only get light during the growing season See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Fraction Seeds Germinating on Canopy Decayed Logs The proportion of those seeds that land on decayed logs under canopy conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival No Gap Status and Substrate Dependent Seed Survival With Gap Status behaviors Fraction Seeds Germinating on Canopy Fresh Logs The proportion of those seeds that land on fresh logs under canopy conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Dependent Seed Survival No Gap Status and Substrate Dependent Seed Survival With Gap Status behaviors Fraction Seeds Germinating on Canopy Forest Floor Litter The proportion of those seeds that land on forest floor litter under canopy conditions that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Depende
378. s of a tree Synonymous with crown Clear cut A type of harvest Crown The branches and leaves of a tree Synonymous with canopy DBH Diameter at Breast Height The diameter of a tree s trunk at a height of 1 35 meters Deterministic Not random predictable Diameter at 10 cm The diameter of a tree taken at a height of ten centimeters Fisheye photograph A photograph taken with a fisheye lens which captures a complete hemisphere in two dimensions A fisheye photograph taken of the sky would see from horizon to horizon in all directions See the light behaviors topic Gap A small open area in a forest canopy Gap cut A type of harvest GLI Global Light Index A measure of the amount of light that reaches a certain point in space expressed as a percentage of full sun See the light behaviors topic GMF Great Mountain Forest northwestern Connecticut One of the primary SORTIE field sites Submodels often contain a version whose simulations are based on field data from GMF and are thus intended primarily to simulate GMF conditions Grid A way of storing data in SORTIE that varies over space Grids are the same size as the plot and contain cells which can each contain several values See the grids topic for more Grid cell A single area in a grid object Harvest Logging Julian day A method for expressing dates The days in the year are numbered consecutively from 1 to 365 Juvenile tree A seedling or sapling tree whic
379. s own dialog This means that it has options that can be set up through a window accessible from the main SORTIE menu You can however remove these special behaviors from the run from this dialog Changing behavior order the Up and Down buttons You can change the behavior order within the overall behavior groupings Behavior groups are separated by dashed lines To change a behavior s position in the list select it in the list labeled Current behavior order then click Up or Down to move it You cannot move it past a dashed line This ensures behavior orders that make sense Removing behaviors the Remove button To remove a behavior from the run select it in the list labeled Current behavior order and click the button marked Remove Changing behavior assignments the Modify assigned data button This button changes the trees to which a behavior applies if the behavior is of a kind applied to trees and most are Select a behavior in the list labeled Current behavior order and then click the Modify assigned data button This brings up the Tree assignments window to allow you to modify the assignments Tree behavior edit window This window is reached through the Edit simulation flow window It edits the list of behaviors for a given tree combination of species and type life history stage The combination being edited is displayed in the top of the window The current list of behaviors in order appears in
380. s rate of change in season 2 Used by the Functional response seed predation linked behavior Lnk Func Resp Foraging Efficiency The predator population foraging efficiency for each seed species Used by the Functional response seed predation linked behavior Lnk Func Resp Keep Predator Densities Between Timesteps If true this means that the final predator density at the end of the behavior mini model run is the initial density for the next mini model run If false every time the behavior mini model runs it is re initialized with the value of the Predator initial density num sq m parameter Used by the Functional response seed predation linked behavior Lnk Func Resp Max Decline Rate Season 1 predators week The maximum rate of decline in the predator population in the absence of any food in predators per week for season 1 Used by the Functional response seed predation linked behavior Lnk Func Resp Max Decline Rate Season 2 predators week The maximum rate of decline in the predator population in the absence of any food in predators per week for season 2 Used by the Functional response seed predation linked behavior Lnk Func Resp Max Intake Rate seeds per predator per day The maximum number of seeds of each species that can be eaten by one predator in one day Used by the Functional response seed predation linked behavior Lnk Func Resp Number of Weeks in Which Seedfall Occurs The number of weeks at
381. s stored raw no conversion to per hectare amounts The grid cell resolution is set to 8 m X 8 m You can change this to whatever you wish The grid is shared by the two behaviors mentioned above so changing it for one changes it for both Data in the grid Data member name Description Mg Leaf Biomass for species X Amount of leaf biomass for species X in Mg Mg Bole Biomass for species X Amount of bole biomass for species X in Mg Mg Branch Biomass for species X Amount of branch biomass for species X in Mg Mg Leaf Palm Biomass for species X Amount of palm leaf biomass for species X in Mg Mg Bole Palm Biomass for species X Amount of palm bole biomass for species X in Mg Planting Results This grid is created by the Planting behavior This is where data on planting results is stored The data is stored raw no conversion to per hectare amounts The grid cell resolution is set to 8 m X 8 m You cannot change the grid cell resolution for this grid Data in the grid Data member name Description Planted Species X Number of trees of Species X cut in the current timestep Quadrat GLI This grid is created by the Quadrat based GLI Light behavior The grid holds a GLI value in each cell quadrat being a term previously used in SORTIE to describe small grid cells The grid cell resolution defaults to 2 m X 2 m You can set whatever new resolution you wish Data in the grid Data member Description name GLI valu
382. s within the entire plot e BAL is the sum of the basal area of all trees taller than the height of the target tree in m per hectare The instrumental equation for calculating ch is as follows ch a b DBH c Height d DBH e Height f DBH g STPH h BAPH i BAL j Height DBH where e ais the Non Spatial Density Dep Inst Crown Height a parameter e bis the Non Spatial Density Dep Inst Crown Height b parameter e cis the Non Spatial Density Dep Inst Crown Height c parameter e dis the Non Spatial Density Dep Inst Crown Height d parameter e eis the Non Spatial Density Dep Inst Crown Height e parameter e fis the Non Spatial Density Dep Inst Crown Height f parameter e gis the Non Spatial Density Dep Inst Crown Height g parameter e his the Non Spatial Density Dep Inst Crown Height h parameter e iis the Non Spatial Density Dep Inst Crown Height i 1 parameter e jis the Non Spatial Density Dep Inst Crown Height j parameter man e DBH is the tree s DBH in cm e Height is the tree height in meters e STPH is number of stems per hectare of adult trees within the entire plot e BAPH is the basal area in m per hectare of adult trees within the entire plot e BAL is the sum of the basal area of all trees taller than the height of the target tree in m per hectare The non spatial logistic density dependent crown depth function is athe e heighttd rad esTPA f
383. seed predation behavior Func Resp Week Germination Begins The week during the behavior mini model run that germination begins to occur If you do not want germination to occur set this value greater than or equal to the Weeks to run seed predation model 1 52 parameter This value must be between 0 and 52 Used by the Functional response seed predation behavior Func Resp Week Season 2 Begins Used by the Functional response seed predation behavior Func Resp Weeks to Run Seed Predation Model 1 52 The number of weeks timesteps to run the behavior s mini model This number must be between 1 and 52 Used by the Functional response seed predation behavior Lnk Func Resp Demographic Efficiency Season 1 The seed predator population demographic efficiency for season 1 Used by the Functional response seed predation linked behavior Lnk Func Resp Demographic Efficiency Season 2 The seed predator population demographic efficiency for season 2 Used by the Functional response seed predation linked behavior Lnk Func Resp Density Dependent Coeff Season 1 The coefficient describing the effect that density dependent factors have on the predator population instantaneous rate of change in season 1 Used by the Functional response seed predation linked behavior Lnk Func Resp Density Dependent Coeff Season 2 The coefficient describing the effect that density dependent factors have on the predator population instantaneou
384. seeds Behavior reference string gap disperse Masting spatial disperse behavior This behavior is a variant of the Non gap spatial disperse behavior that adds masting and more stochasticity in seed production How it works Deciding when to mast For each timestep the probability of masting for each species is calculated from the following cumulative distribution function l yx b X I a where e yis the probability of masting e Xis the number of years since last mast e ais the Masting Disperse Masting CDF a parameter e bis the Masting Disperse Masting CDF b parameter When the run starts it is assumed a masting last event took place in timestep 1 A random number is used to determine whether a mast occurs in the current timestep Disperse happens the same way in mast and non mast timesteps but the parameters used are different Species may be organized into groups to create synchrony in masting The Masting Disperse Masting Group parameter allows you to assign group numbers to species The actual value of the group number is not important It only matters if more than one species has the same number If one species in a group masts all species in that group do Each group s mast decision is made separately so sometimes more than one group may mast at a time If all species have a different group number then they all mast independently of one another Which trees disperse Of the group of trees eligib
385. set the NCI Shading Effect Coefficient m parameter to 0 this value is ignored Used in the NCI mortality behavior NCI Size Effect Mode in cm The mode of the size effect curve Used in the NCI mortality behavior NCI Size Effect Variance in cm The variance of the size effect curve Used in the NCI mortality behavior NCI Size Sensitivity to NCI gamma The sensitivity of a tree s survival probability to its DBH Used in the NCI mortality behavior NCI Storm Effect Complete Damage 0 1 The fraction by which a tree s survival probability is reduced when it has sustained complete storm damage Used in the NCI mortality behavior NCI Storm Effect Medium Damage 0 1 The fraction by which a tree s survival probability is reduced when it has sustained medium storm damage Used in the NCI mortality behavior Species i NCI Lambda The scale of the competitive effect of a neighbor tree s species on the target tree s species Used in the NCI mortality behavior Post Harvest Skid Mort Crowding Effect Radius Maximum distance in m for neighbors to have a competitive effect Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Pre Harvest Background Mort Rate Annual mortality rate 0 1 if no harvest has occurred this run Used by the Post Harvest Skidding Mortality behavior Post Harvest Skid Mort Snag Recruitment Background Prob Annual postharvest risk of standing death after harvest effects have complet
386. set up to create tree death for all of these reasons There are life history stages for dead trees but a run may not be set up to handle them The tree population takes this into account It examines the run to see if any behaviors directly deal with stumps and snags If either is the case the run is classified as stump aware and or snag aware Here s what happens to a tree to be killed in different situations e Ifa tree is a seedling it is deleted from memory no matter why it died e Ifa tree is a sapling or adult killed in a harvest and the run is stump aware the tree is converted to a stump e Saplings killed for any other reason or by harvest in a run that is not stump aware are deleted from memory e Ifthe tree is an adult killed by harvest and the run is not stump aware it is deleted from memory e Ifthe tree is an adult killed for any reason other than harvest and the run is snag aware the tree is converted to a snag e If the tree is an adult killed for any reason other than harvest and the run is NOT snag aware the tree is removed from memory e If the tree is already a snag it is removed from memory Tree organization Trees are organized by location and size in what is called the tree population The tree population indexes trees into 8 m by 8 m areas lined up by height The population acts as a librarian for behaviors that wish to find certain sets of trees upon which to act Tree population in
387. sky are multiplicative Once all shading neighbors have been added to the fisheye photo the amount of light that can still be seen from each region of the sky is totaled up into the appropriate index Sky Simulation Equations All equations are from Iqbal 1983 At a given solar time the sun s zenith angle is calculated by cos 0 sin 6 sing cos cos Q cos w and its azimuth angle is calculated by COS y sina sin 9 sin cos a cos Q where e O angle from zenith in degrees e solar declination in degrees e g Plot Latitude in decimal degrees parameter from Plot e a the solar altitude angle from horizon in degrees e the hour angle solar time Azimuth here is south zero east positive Solar declination is calculated by 0 006918 0 399912 cos I 0 070257 sin T 0 006758 cos 2I 0 000907 sin 2r 0 002697 cos 3I 0 00148 sin 3I where solar declination in radians and T is the day angle in radians The day angle is calculated by 2z d 1 365 where T is the day angle in radians and d is the Julian day number day of the year between 1 and 365 So once we finally have the azimuth and altitude angles for the sun s position in the sky we can calculate the amount of direct beam radiation coming from it and add it to the appropriate grid cell The direct beam radiation equation is I Eo t cos where e J is the beam radiation e Eois the earth s eccentricity e cis the Cle
388. smission Class 1 The upper age limit in years defining the first age class of snag light transmission Snags with an age less than or equal to this age have a light transmission coefficient matching Snag Age Class 1 Light Transmission Coefficient If your run does not work with snags you can ignore this Used by all behaviors making GLI or Sail Light calculations e Upper Age Yrs of Snag Light Transmission Class 2 The upper age limit in years defining the second age class of snag light transmission Snags with an age greater than the upper limit for size class 1 but less than or equal to this age have a light transmission coefficient matching Snag Age Class 2 Light Transmission Coefficient Snags with an age greater than this value are in age class three If your run does not work with snags you can ignore this Used by all behaviors making GLI or Sail Light calculations Average Light This behavior averages GLI values to produce a set of values with a coarser spatial resolution How it works This behavior does not actually calculate GLI It averages the GLI values in the GLI Map grid which is created by the GLI Map Creator behavior This behavior creates its own map called Average Light The value for each cell in this grid is an average of the cells of GLI Map in the same area If the size of the cells of Average Light is an exact multiple of the size of the cells of GLI Map then a straight average is calculated If the size is not
389. snag tree type in order to cause storm killed adults to become snags How to apply it Apply this behavior to the trees that can be killed in storms You must also apply the Storm damage applier behavior to the same trees You may not apply this behavior to seedlings If you wish to have storm killed trees become snags you must apply this behavior to the snag tree type This may cause snags to appear due to natural mortality and other causes you must use other behaviors to manage these snags You must also have any kind of mortality behavior applied to each tree species and life history stage to which this behavior is applied Behavior reference string storm killer Storm direct killer This behavior kills trees based on storm severity without an intervening damage step How it works When storms occur trees to which this behavior are applied have the following probability of mortality expla b Zn ltexp a t b Ln where e pis the tree s probability of mortality between 0 and 1 e ais the Storm Direct Killer a parameter e bis the Storm Direct Killer b parameter e Dis the storm damage at the tree s location Once the mortality probability has been calculated this behavior uses a random number to determine whether it lives or dies If more than one storm has occurred in the current timestep each storm gets a separate independent chance to kill trees Trees that die have a dead flag set to true and are treated
390. species to which the harvest interface behavior are applied Only these trees will be written to the text file that is passed to the executable Use the Edit button to add or remove from the list File columns The columns in the text files written by both SORTIE and the executable in the order that they will appear The text in this list matches the text in the column headers Parameters file for batch run optional If you want SORTIE to manage input files for the executable when in SORTIE batch mode this is the full path and filename of the file that contains the executable s input parameters for each run in the entire batch Single run parameters file for batch run optional If you want SORTIE to manage input files for the executable when in SORTIE batch mode this is the full path and filename of the file that SORTIE will write with the executable s input parameters for a single run in the batch Arguments to pass to the executable optional SORTIE will pass this string value to the executable when launching it Tree update file that the executable will write If extra tree data members have been created for the executable to control this is the full path and filename of the file the executable will write with updates to these data members If there is an update file there must also be new tree data members in the New tree data members to add section New tree data members to add Extra tree data members to be created for the execu
391. stablishment This behavior converts seeds into seedlings How it works This behavior goes through each grid cell in the Dispersed Seeds grid and for each species to which this behavior applies converts each seed into a seedling The seedlings are randomly placed within the grid cell area and have a slightly randomized value of New seedling diameter at 10 cm How to apply it Apply this behavior to seeds of any species A species to which this is applied must also have a Disperse behavior applied Behavior reference string Establishment Establishment with Microtopography This behavior germinates seeds into seedlings It simulates microtopography in the plot and assigns new seedlings a rooting height as a function of the type of substrate on which they land from the Substrate behavior This behavior is designed to work with both the Substrate and the Beer s law light filter behaviors to simulate shading by ferns The rooting height that seedlings get influences the amount of light they receive Seeds that land on fresh logs in addition are eligible for a respite from the Beer s law light filter behavior How it works Each timestep the behavior starts by getting the substrate proportions for each cell of the Dispersed Seeds grid The six substrate types are further divided into mound and non mound types of each according to the Proportion of Ground Area that is Mound parameter The relative proportions of the different k
392. step that there is a planting the behavior begins by determining whether the planting is gridded or random If the planting is random the total number of seedlings to plant is calculated by multiplying the total seedling density by the area to plant Then that number of seedlings is scattered randomly around the plant area If the planting is gridded each grid cell in the plant area is planted individually In each cell is placed the number of seedlings that can fit at the specified spacing Since each 8 meter by 8 meter grid cell is planted individually large spacing distances may result in a very low number of seedlings being planted at a 6 meter spacing for instance only one seedling per cell would be planted For best results the distance between seedlings should divide evenly into 8 meters Each seedling s species is determined by comparing a random number to the relative abundance of each species This means that the species distribution may not be exactly what was specified but the larger the number of seedlings the more accurate the species distribution will be The plant behavior outputs what it did each timestep into the Planting Results grid If you wish to review the results of the grid save it in a detailed output file How to apply it You can apply planting in one of two ways You can create new planting treatments using the Edit Episodic Events Window by choosing the Edit gt Episodic events option from the main SORTIE
393. strate behavior Gap Cut Proportion of Scarified Soil The proportion of substrate that is scarified soil in areas that had a gap cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate and Detailed Substrate behaviors Used by the Substrate and Detailed Substrate behaviors Gap Cut Proportion of Tip Up Mounds The proportion of substrate that is tip up mounds substrate in areas that had a gap cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate and Detailed Substrate behaviors Initial Conditions Proportion of Decayed Logs The proportion of plot substrate that is decayed logs when the run starts as a value between 0 and 1 If a map of substrate values is included in the parameter file see Adding to a parameter file for information on how to do this then the map values will be used for the initial conditions and this number will be ignored Used by the Substrate behavior Initial Conditions Proportion of Fresh Logs The proportion of plot substrate that is fresh logs when the run starts as a value between 0 and 1 If a map of substrate values is included in the parameter file see Adding to a parameter file for information on how to do this then the map values will be used for the initial conditions and this number will be ignored Used by the Substrate behavior Initial Conditions Proportion of Scarified
394. subplot you define up to five They will all contain the same kinds of data Only tree data can be subplotted If grid data is saved the whole grid will always be saved It is easy to work with only a portion of a grid s data by for example printing out the grid using the Grid Setup window To create subplots click the button that says Set up subplots on the Setup detailed output file window Viewing the data in a detailed output file The Data visualization capabilities of the model interface allow you to see your data graphically If you want the data raw to do your own analysis you can save the contents of individual maps within the detailed output files as tab delimited text Using the example above here s how you would use a spreadsheet to read map data from timestep three of the my detailed output gz tar detailed output file 1 To give context to the map data you must load the original parameter file using File gt Open file Form the run above either testpar xml could be used or its copy in the detailed output file my detailed output xml If you choose the file my detailed output gz tar from File 2Open file you can choose the file my detailed output xml within it 2 Load the individual timestep file using File gt Open file and choosing my detailed output gz tar You will be able to choose the individual timestep file within it 3 Use the Grid layer setup option or the Tree setup in the Edit me
395. substrate composition of each grid cell in the Substrate grid and converts it into a single number for each species called the substrate favorability index The favorability index is the sum of the proportions of each substrate multiplied by the proportion of seeds that germinate on that substrate This index represents the proportion of total seeds of that species that are expected to survive in that area of the plot This index is stored in the grid Substrate Favorability In the parameters list above the proportions used are the canopy proportions The behavior then goes through each grid cell in the Dispersed Seeds grid and assesses the survival for the seeds of those species to which it applies This behavior starts by giving each seed a random temporary location within the Dispersed Seeds grid cell Then it retrieves the substrate favorability at that point from the Substrate Favorability grid It then compares a random number to the substrate favorability to determine whether the seed lives This method ensures that we can assess substrate favorabilities correctly when the Dispersed Seeds and Substrate grids have different grid cell resolutions Once this process is complete the number of surviving seeds for each species is assigned back to the Dispersed Seeds grid How to apply it This behavior may be applied to seeds of any species A species to which this is applied must also have a Disperse behavior applied Also the Substrate behav
396. substrate pool they are added to the logs for the appropriate species group Log substrate belongs to one of two size classes defined by diameter The threshold diameter separating the two size classes is defined by the Boundary Between Log Diam Classes cm parameter When a sapling adult or snag enters the substrate pool the area input to each size class is calculated separately The species group and size class to which log substrate is added do not change over time Log substrate is also divided into 5 decay classes Over time decay class 1 logs decay into decay class 2 logs then decay class 3 logs then decay class 4 logs then decay class 5 logs then forest floor litter and moss The relationship among these states as well as tip up mounds and scarified soil is depicted in the figure below Decay class 1 logs Substrate creation and decay schematic for Detailed Substrate behavior Decay class 2 logs Decay class 3 logs Tip up mounds Scarified soil Decay class 4 logs li Decay class 5 logs Forest floor Like in Substrate decay among the log decay classes and for tip up mounds and scarified soil relationships 1 5 7 and 9 is a function of substrate age according to the equation where t is time in years since the last decay transition Decay calculations for the 5 log decay classes are performed on an annual basis so it is possible to advance by more than one decay class in a single multi year timestep At the end of ea
397. sult You can also set all storm return intervals to O to turn off storms Behavior reference string storm Random browse This behavior simulates random browsing from herbivores How it works The trees eligible for browsing are those trees to which this behavior is applied Each species has a probability of browse that is the same for all members of that species Each timestep for each eligible tree a random number is used against its species probability to decide whether the tree is browsed The probability of browse for a species can be constant or it can vary each timestep If it is constant the probability of browse is always the value in the Random Browse Annual Browse Probability 0 1 parameter If the probability is to vary a new value is drawn from a random distribution using the value in Random Browse Annual Browse Probability 0 1 parameter as the mean and the value in Random Browse Browse Probability Standard Deviation as the standard deviation This draw happens once per species per timestep all individuals of a species always face the same probability of browse in a given timestep If the timestep length is more than one year the annual probability of browse is turned into a timestep probability using TP 1 1 AP where TP is the timestep probability of browse AP is the annual probability and N is the length of a timestep in years Trees that are chosen as browsed are marked as browsed This behavior
398. sults may occur To choose which behaviors to include in the run and how to apply them use the Model flow window Behavior order and dependencies The parameter file specifies which behaviors to include in the simulation and in which order they should be run Theoretically it is possible to put behaviors in any order but of course most simulations constructed that way would not make sense When you structure a run the behaviors are placed in functional groups To prevent nonsensical simulations you cannot move a behavior outside of its functional group in the overall run order however you can re order behaviors within the functional groups Sometimes this will have an effect on the overall simulation outcome and sometimes it won t Refer to the documentation for individual behaviors to learn how run order might affect a behavior Behaviors work on data in sequence Some behaviors require that a specific step has been taken before they can do their job This means that in order to use some behaviors you must also use certain other behaviors The individual behavior documentation will tell you about its requirements To change the order in which behaviors act use the Model flow window Behavior data Behaviors help define trees and grids based on the work they need to do They will create a grid if they need one or they may attach a new piece of data to the trees to which they are applied Other behaviors rely on the presence of th
399. sumption and ensure that the seeds which germinate are actually available later the behavior keeps track of the seeds actually consumed it is this number which is subtracted from total seeds at the end Seed offtake for each week is calculated as O X IR N where e Ois offtake total number of seeds consumed e JR is per capita seed offtake for each species e Nis the number of predators Per capita seed offtake for a single seed species is IR c 1 e 9D x p where e c isthe Func Resp Max Intake Rate seeds per predator per day parameter for that seed species e Sis the number of seeds per predator per day e Dis the Func Resp Foraging Efficiency parameter e ps is the proportion of the total seed pool made up by that species Predator response to food availability can be different for two seasons in the year The dividing line between the seasons is given with the Func Resp Week Season 2 Begins parameter If you want a uniform response with no seasonal differences you can set this value to 1 or 52 or set the predator response parameters to be the same for both seasons The number of predators in each cell s population is calculated as N Ni 1 where e N is number of predators for the current timestep e N is number of predators in the previous timestep e rjjisinstantaneous rate of change in predator abundance for the previous timestep The instantaneous rate of change per week r is calculated as r
400. sured across the plot as a whole not locally thus non spatial In addition to the use of density variables the density dependent equations for crown width uses an estimate of crown depth as a dependent variable and vice versa This estimated value of crown width and crown depth rad and ch used in the density dependent equations come from the instrumental variable equations Calculating the instrumental variables equations avoids uncoupling the crown radius crown depth relationship The non spatial exponential density dependent crown radius function is rad D1 DBH Height ch STPH BAPH BAL where e radis the crown radius in meters e DI is the Non Spatial Exp Density Dep Crown Radius D1 parameter e ais the Non Spatial Exp Density Dep Crown Radius a parameter e bis the Non Spatial Exp Density Dep Crown Radius b parameter e cis the Non Spatial Exp Density Dep Crown Radius c parameter e dis the Non Spatial Exp Density Dep Crown Radius d parameter e eis the Non Spatial Exp Density Dep Crown Radius e parameter e fis the Non Spatial Exp Density Dep Crown Radius f parameter e DBH is the tree s DBH in cm e Height is the tree height in meters e chiis the instrumental crown depth of the target tree in meters calculated using the function below e STPH is number of stems per hectare of adult trees within the entire plot e BAPH is the basal area in m per hectare of adult tree
401. t the mean diameter of logs in the large size class in cm This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Partial Cut Small Logs Mean Diameter cm After a partial cut harvest the mean diameter of logs in the small size class in cm This is not required if the Harvest behavior is not used Used by the Detailed Substrate behavior Partial Cut Proportion of Decayed Logs The proportion of substrate that is decayed logs in areas that had a partial cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate behavior Partial Cut Proportion of Fresh Logs The proportion of substrate that is fresh logs in areas that had a partial cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate behavior Partial Cut Proportion of Scarified Soil The proportion of substrate that is scarified soil in areas that had a partial cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate and Detailed Substrate behaviors Partial Cut Proportion of Tip Up Mounds The proportion of substrate that is tip up mounds substrate in areas that had a partial cut harvest event as a value between 0 and 1 This is not required if the Harvest behavior is not used Used by the Substrate and Detailed Substrate behaviors Proportion
402. t Excel All other file types are unsupported Last updated 07 Jun 2005 02 46 PM Data Visualization SORTIE runs produce output which you can then use the SORTIE interface to view graphically You can view both kinds of output files summary files and detailed output files SORTIE analyzes the contents of files that it is given and lets you know what it is capable of doing with that data For more on output including a guide on what to save see the topic Output in SORTIE In this document Loading an output file for data visualization Displaying the data from a file Viewing a chart s raw data Viewing charts from a run as it progresses Tips For details on the chart types available see Output Chart Types Loading an output file for data visualization You can load a file by choosing the menu option File gt Open Run Output Choose the file you want to view either a summary output file with a out extension or a detailed output file with a gz tar extension The file name will appear at the top of the main SORTIE window in the list that says Open output files You can have as many files open as you wish Displaying the data from a file Choose a file in the list marked Open output files at the top of the main SORTIE window SORTIE will analyze the contents of the file and show you what it can display in the list marked Chart choices for this file The chart choices are broken apart by type There may not be
403. t asymptote diam with auto height Logistic growth w size dependent asymptote diam only Lognormal bi level growth height only Lognormal with exponential shade reduction height only Lognormal with exponential shade reduction diam with auto height Lognormal with exponential shade reduction diam only Michaelis Menton with negative growth height only Michaelis Menton with photoinhibition height only NCI growth behavior diam with auto height NCI growth behavior diam only Power growth height only Puerto Rico semi stochastic diam only Puerto Rico storm bi level growth diam with auto height Relative growth behaviors Relative growth limited to radial increment behavior diam with auto height Relative growth limited to radial increment behavior diam only Relative growth limited to basal area increment behavior diam with auto height Relative growth limited to basal area increment behavior diam only Non limited relative growth behavior diam with auto height Non limited relative growth behavior diam only Relative growth height only Stochastic gap growth How growth is applied Growth behaviors increase the size of a tree A tree has two basic size dimensions diameter and height A growth behavior can increase tree size using one of three methods In the first method the behavior calculates an amount of diameter increase and then adds this
404. t conditions How it works Light levels come from the Storm Light grid produced by the Storm Light behavior The threshold between the use of high light and low light parameters is set in the Stochastic Bi Level High Light Mortality Threshold 0 100 parameter For each tree a random number is compared to that species s probability of mortality to determine if it dies If light levels qualify as high light the probability of mortality is the value in the Stochastic Bi Level High Light Mortality Probability 0 1 parameter if the light levels are low the probability of mortality is the value in the Stochastic Bi Level Low Light Mortality Probability 0 1 parameter If the timestep length is not one year the probability of mortality is adjusted from an annual mortality probability to a timestep probability How to apply it This behavior can be applied to seedlings saplings and adults of any species You must also use the Storm Light behavior Behavior reference string Stochastic Bi Level Mortality Height GLI Weibull Mortality with Browse This behavior calculates the probability of mortality using a Weibull function of tree height and GLI light level It can also simulate the effects of herbivory by using different parameters for browsed and unbrowsed trees How it works The same function is used to calculate the probability of mortality for both browsed and unbrowsed trees but the parameters are different The funct
405. t have their parameters entered through the Parameters Window Set up these behaviors using the Edit Episodic Events Window e Competition Harvest Amount of Harvest Per Species 0 1 Trees to harvest can be treated as a common pool where species identity is not a factor in selecting trees for harvest In this case all values should be set to 1 0 Otherwise species can be harvested at a fixed proportion In this case set the proportion to harvest for each species as a value between 0 and 1 with all values adding up to 1 Used by the Competition Harvest behavior e Competition Harvest Amount to Harvest Amount to harvest depending on the harvest type If this is a fixed interval harvest the value in Competition Harvest Harvest Type is set to Fixed Interval this is the basal area of the plot after harvesting in m ha if this is a fixed basal area threshold harvest with a fixed amount to cut Fixed BA Amt this is the amount of basal area to cut in m ha if this is a fixed basal area threshold harvest with proportion of total to cut Fixed BA this is the proportion of the total plot s basal area to cut between 0 and 1 Used by the Competition Harvest behavior e Competition Harvest C The slope of the curve C of the competitive effect of a target on a neighbor of each species Used by the Competition Harvest behavior e Competition Harvest D The steepness of the curve D of the competitive effect of a target on a neighbor of
406. t stop the run change your output options and start a new run 5 Start the model running again As the model completes each timestep it will update any open charts while it does this you may see a message that the model is paused at the bottom of the screen this is normal You can open new charts or close existing ones at any point in the run again pausing is recommended before opening new charts Note While displaying a current run s output is a useful feature it is not the most efficient way to do arun If you do not actually need to keep tabs on a run s progress or if you are satisfied with the way a current run is going allow it to run without open charts The run will execute much faster If you currently have charts open for a run you can use the menu command File gt Close run output file to close each of the run s output files Once all output files are closed the run will switch back to the more efficient mode Tips The data visualizer can only show you what you have saved from the run If you do not save any data for a particular species in a detailed output file for instance that species won t show up in any charts you open even if there were many individuals of that species in the run If your data does not look the way you expect it to start by carefully examining your output settings to make sure you actually saved everything you meant to Have patience when working with detailed output files When you move
407. table to control if desired The names can be up to 9 characters long must not match the name of any existing data member and must not contain parentheses If there are new tree data members there must also be an update file 24 Oct 2006 09 10 AM Edit Scheduled Storms Window This window is reached from the Edit menu by selecting Scheduled Storms It allows you to schedule storms for the Storm disturbance behavior See that behavior s documentation for more on how scheduled storms work Year of storm not timestep The year the storm should occur Storm minimum severity 0 1 The minimum severity of the storm Storm maximum severity 0 1 The maximum severity of the storm After entering the data for a storm click the add button to add it to the list The order of the storms on the list does not matter since they each have a time associated with them To remove storms from the list select one or more and click Remove 12 Dec 2007 01 07 PM Edit Allometry Functions Window This allows you to set the allometry functions for each tree species and life history stage This window is reached by choosing Edit gt Tree Population gt Set allometry functions The functions are described on the Allometry page Functions e Adult Crown Height Height Function The allometric relationship used to relate tree height in m and height or length of the crown in m for adult trees e Adult Crown Radius Diameter Function The allo
408. th How it works The amount of height growth is calculated as Y D GLI H a 1 p GLI where e Yis the amount of height growth for one year in cm e GLI is the light level e ais the Michaelis Menton with Photoinhibition Alpha parameter e fis the Michaelis Menton with Photoinhibition Beta parameter e Dis the Michaelis Menton with Photoinhibition D parameter e gis the Michaelis Menton with Photoinhibition Phi parameter e Histhe tree s height in cm If the timestep is more than one year long growth is recalculated for each year of the timestep increasing the height each time How to apply it This behavior can be applied to seedlings saplings and adults of any species Any tree species type combination to which it is applied must also have a light behavior and a diameter growth behavior applied Behavior reference string Michaelis Menten photoinhibition growth height only Power growth height only This behavior uses a power function to do height growth How it works The amount of height growth is calculated as Y n H where e Yis the amount of height growth for one year in cm e nis the Power Height Growth n parameter e gis the Power Height Growth Exp parameter e His the tree s height in cm If the timestep is more than one year long growth is recalculated for each year of the timestep increasing the height each time How to apply it This behavior can be applied to seedlings saplings
409. th in cm e a PR Storm Bi Level Intercept for Low Light Growth a parameter e b PR Storm Bi Level Slope for Low Light Growth b parameter e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults e T number of years per timestep The function used in high light conditions is H T a diam e where e H amount of height growth in cm e a PR Storm Bi Level High Light a parameter e b PR Storm Bi Level High Light b parameter e diam diameter diameter at 10 cm for seedlings and saplings DBH for adults e N number of years since the last storm from the Storm Damage grid produced by the Storm disturbance behavior e T number of years per timestep H is expressed in centimeters of height growth This is transformed into a number of cm of diameter growth which is what this behavior passes along This means that during tree life history stage transitions the height the tree ends up with is not guaranteed to match the height calculated by the high light growth function How to apply it This behavior can be applied to seedlings saplings and adults of any species You must also use the Storm disturbance and Storm Light behaviors Behavior reference string PR storm bilevel growth Browsed relative growth behavior diam with auto height This behavior simulates herbivory by allowing trees to grow at different rates when browsed versus unbrowsed How it works Trees grow acc
410. the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors Post Harvest Growth DBH Growth Effect The effect of DBH on growth Used in the Lagged post harvest growth diam with auto height and Lagged post harvest growth diam only behaviors Post Harvest Growth DBH NCI Effect The effect of DBH on the neighborhood competition index Used in the Lagged post harvest growth diam with auto height and Lagged post harvest growth diam only behaviors Post Harvest Growth Max Growth Constant Maximum annual radial growth in mm Used in the Lagged post harvest growth diam with auto height and Lagged post harvest growth diam only behaviors Post Harvest Growth NCI Constant A constant adjusting the effects of NCI Used in the Lagged post harvest growth diam with auto height and Lagged post harvest growth diam only behaviors Post Harvest Growth NCI Distance m The maximum distance at which neighboring trees can have competitive effects Used in the Lagged post harvest growth diam with auto height and Lagged post harvest growth diam only behaviors Post Harvest Growth Time Since Harvest Rate Param A parameter controlling the rate at which the actual growth approaches the potential growth after a harvest Used in the Lagged post harvest growth diam with auto height and Lagged post harvest growth diam only behaviors PR a Parameter for Deterministic Growth a
411. the number and placement of seeds The two possible forest covers are gap and closed canopy A gap is defined as a cell in the Dispersed Seeds grid with no more adults than the value of the Maximum adults allowed in gap cell parameter above How it works The behavior starts each timestep by updating the forest cover of each cell gap or canopy It counts all trees above the minimum DBH for reproduction in each cell and compares that number to the Maximum parent trees allowed in gap cell parameter The behavior will count trees of all species to determine gap status However if it finds a tree of a species that is not one of the ones this behavior is assigned to it will use the tree s minimum adult DBH parameter instead of the minimum DBH for reproduction For each tree greater than the reproductive age the number of seeds produced is calculated as seeds STR DBH 30 using the higher of gap or canopy STR along with its matching Each seed is given a random azimuth angle It is then given a random distance that conforms to the probability distribution function of the current forest cover of the parent Once the seed has an azimuth and a distance the function determines which grid cell it should drop in Once the seed has a target grid cell that cell s cover is checked Then the seed s survival is evaluated If the seed is in the cover type with the higher STR it automatically survives Otherwise a random number is compared
412. the top to the bottom of the crown cylinder in meters C is the Slope of Asymptotic Crown Height parameter height is the tree s height in meters b is the Crown Height Exponent parameter The Chapman Richards crown depth and radius relationships The Chapman Richards equation for calculating crown radius is where rad 2i a 1 e PBBye rad is the crown radius in meters DBH is the tree s DBH in cm iis the Chapman Richards Crown Radius Intercept parameter which represents the crown radius of the smallest possible sapling is the Chapman Richards Asymptotic Crown Radius parameter b is the Chapman Richards Crown Radius Shape 1 b parameter c is the Chapman Richards Crown Radius Shape 2 c parameter The Chapman Richards equation for calculating crown depth is where gueq4u r o 5j ch is the distance from the top to the bottom of the crown cylinder in meters H is the tree s height in m iis the Chapman Richards Crown Height Intercept parameter which represents the crown depth of the smallest possible sapling is the Chapman Richards Asymptotic Crown Height parameter bis the Chapman Richards Crown Height Shape 1 b parameter c is the Chapman Richards Crown Height Shape 2 c parameter The non spatial density dependent crown depth and radius relationships The density dependent equations for crown radius and crown depth use non spatial measures of density to influence crown radius and crown depth Density is mea
413. the way trees are spatially distributed across the plot K values are calculated repeatedly for a succession of distances out to a maximum giving a curve The Ripley s K statistic for a given distance t is calculated as RD no where e K t is the K value at distance t e Ais the plot area in square meters e Xis the number of pairs of trees in the plot less than t meters apart e nis the total number of trees in the plot The size of the distance increment is given in the Ripley s K Distance Increment m parameter The maximum distance out to which to calculate K is given in the Ripley s K Maximum Distance m parameter Most Ripley s K formulas come with a term for edge correction which is not needed in SORTIE ND as the plot has no edges See the SORTIE ND Plot topic for more on the plot s shape Only saplings and adult trees are included in K calculations The K values are calculated for all trees in the plot as well as for individual species In the case of an individual species X is the number of pairs of trees of that species and n is the total number of trees of that species The resulting K values are stored in the Ripley s K grid How to apply it Add this behavior to your run There is no need to apply it to specific tree species or types Indeed any such specifications will be ignored This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup
414. this distribution when not masting Used by the Masting non spatial disperse behavior Mast NS Disperse Mast Normal Mean Mean parameter for the normal distribution for choosing seeds in masting conditions Values are only required for those species using this distribution when masting Used by the Masting non spatial disperse behavior Mast NS Disperse Mast Normal Standard Deviation Standard deviation parameter for the normal distribution for choosing seeds in masting conditions Values are only required for those species using this distribution when masting Used by the Masting non spatial disperse behavior Mast NS Disperse Non Mast Normal Mean Mean parameter for the normal distribution for choosing seeds in non masting conditions Values are only required for those species using this distribution when not masting Used by the Masting non spatial disperse behavior Mast NS Disperse Non Mast Normal Standard Deviation Standard deviation parameter for the normal distribution for choosing seeds in non masting conditions Values are only required for those species using this distribution when not masting Used by the Masting non spatial disperse behavior Mast NS Disperse PDF Masting Conditions Which probability distribution to use to choose number of seeds during masting events Used by the Masting non spatial disperse behavior Mast NS Disperse PDF Non Masting Conditions Which probability distribution to use to choos
415. through timesteps change charts and open new charts the data visualizer often must go back and sift through the detailed output file for the data it needs With large files and long runs this can be very time consuming If you have an idea of the charts you want to work with it will be faster if you only save the data needed to create those charts Last updated 25 Jan 2005 01 05 PM Output Chart Types When you create output files you can use SORTIE s data visualization capabilities to look at their data in various ways SORTIE has several chart types that it can create from detailed output files and summary output files The chart types that you can view depend on the data you have saved in your output files Customizing saving and printing the charts Extracting the data to perform your own analyses Line graphs Histograms Tree maps Grid maps Tables Customizing saving and printing the charts The main SORTIE window acts as a desktop for the chart windows displayed They can be minimized maximized moved and resized within the window You can close them using the X button in the top right You will notice that the legends have check boxes next to each species name along with a color box Unchecking the box next to a species removes it from all of that file s charts Clicking on the color next to the species name lets you choose a new color for that species The charts themselves can also be modified by right clicking on t
416. tial Used by the Linear growth w exponential shade reduction diam with auto height and Linear growth w exponential shade reduction diam only behaviors Shaded Linear Height Intercept in cm yr a Intercept of the size dependent growth potential in cm yr Used by the Linear growth w exponential shade reduction height only behavior Shaded Linear Height Shade Exponent c Effect of shading Used by the Linear growth w exponential shade reduction height only behavior Shaded Linear Height Slope b Slope of the size dependent annual growth potential Used by the Linear growth w exponential shade reduction height only behavior Simple Linear Diam Intercept in mm yr a Intercept of the linear growth function or growth at no light in mm yr Used by the Linear growth diam with auto height and Linear growth diam only behaviors Simple Linear Diam Slope b Slope of the linear growth function Used by the Linear growth diam with auto height and Linear growth diam only behaviors Simple Linear Height Intercept in cm yr a Intercept of the linear growth function or growth at no light in cm yr Used by the Linear growth height only behavior Simple Linear Height Slope b Slope of the linear growth function Used by the Linear growth height only behavior Size Dep Logistic Diam Intercept a Intercept of the size dependent annual growth potential Used by the Logistic growth w size dependent asymptote d
417. tic crown depth or length in m of the Chapman Richards crown depth equation e Chapman Richards Asymptotic Crown Radius The asymptotic crown radius in m of the Chapman Richards crown radius equation e Chapman Richards Crown Height Intercept The intercept of the Chapman Richards crown depth equation This represents the crown depth in m of the smallest possible sapling e Chapman Richards Crown Height Shape 1 b The first shape parameter b of the Chapman Richards crown depth equation e Chapman Richards Crown Height Shape 2 c The second shape parameter c of the Chapman Richards crown depth equation e Chapman Richards Crown Radius Intercept The intercept of the Chapman Richards crown radius equation This represents the crown radius in m of the smallest possible sapling e Chapman Richards Crown Radius Shape 1 b The first shape parameter b of the Chapman Richards crown radius equation e Chapman Richards Crown Radius Shape 2 c The second shape parameter c of the Chapman Richards crown radius equation e Crown Height Exponent The exponent in the standard equation for calculating crown depth e Crown Radius Exponent The exponent in the standard equation for determining the crown radius Intercept of DBH to Diameter at 10 cm Relationship The intercept of the linear relationsip between the DBH in cm and the diameter at 10 cm height in cm in small trees Used by all species Maximum Tree Height in meters The
418. tions If the Masting Disperse STR Draw PDF is Deterministic then this is the STR value used Used by the Masting spatial disperse behavior Masting Disperse Masting STR Standard Deviation The standard deviation of the STR value under masting conditions If the Masting Disperse STR Draw PDF is Deterministic then this value is not used Used by the Masting spatial disperse behavior Masting Disperse Mast Proportion Participating 0 1 The proportion of all adults for a species that participate in disperse during a masting timestep as a value between 0 and 1 Used by the Masting spatial disperse behavior Masting Disperse Non Masting Beta The p value under non masting conditions Used by the Masting spatial disperse behavior Masting Disperse Non Masting STR Mean The mean annual STR value under non masting conditions If the Masting Disperse STR Draw PDF is Deterministic then this is the STR value used Used by the Masting spatial disperse behavior Masting Disperse Non Masting STR Standard Deviation The standard deviation of the STR value under non masting conditions If the Masting Disperse STR Draw PDF is Deterministic then this value is not used Used by the Masting spatial disperse behavior Masting Disperse Non Mast Proportion Participating 0 1 The proportion of all adults for a species that participate in disperse during a non masting timestep as a value between 0 and 1 Used by the Masting spatial
419. to height and NCI growth behavior diam only behaviors Species i NCI lambda neighbors The competitive effect of neighbors of species i on the target tree species s growth between 0 and 1 Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Maximum Crowding Distance in meters The maximum distance in m at which a neighboring tree has competitive effects on a target tree Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Maximum Potential Growth cm yr Maximum potential diameter growth for a tree in cm yr Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Minimum Neighbor DBH in cm The minimum DBH for trees of that species to compete as neighbors Used for all species not just those using NCI growth Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI DBH Divisor q The value by which neighbor DBHs are divided when calculating NCL This can be used to make units adjustments Used in the NCI growth behavior diam with auto height and NCI growth behavior diam only behaviors NCI Neighbor Storm Damage eta Complete 0 1 The fraction to which a neighbor s competitive effect is reduced when the neighbor has sustained complete storm damage Set this to 1 if y
420. to other runs For more on output including a guide on what to save see the topic Output in SORTIE What is a detailed output file The model saves its detailed output in a detailed output file A simulation s detailed output file is in fact a collection of individual files packaged together Within the detailed output package are two types of files a copy of the parameter file originally used to perform the run and individual timestep files which hold the saved data for each timestep All the files are written in plain text in the XML data format Contents of a detailed output file Detailed output timestep files are collections of map files that you set up using the Edit gt Output setup window They are identified by having _x added to the filename where x is the timestep number The parameter file copy is given the detailed output package s filename Each file produced is then compressed using the GZIP program and all the files for a single run are put into an archive file using the TAR program The detailed output output for a single run is one file with a gz tar extension For example if the parameter file testpar xml was used to run 5 timesteps with a detailed output file to be saved named my detailed output at the end of the run there would be a file named my detailed output gz tar This TAR archive would contain the following files e my detailed output gz a copy of the testpar xml parameter fil
421. to the ratio of the lower STR to the higher STR to determine if it survives If the seed survives it may need to be repositioned If both parent and seed are under closed canopy the seed is dropped where it is If the parent is in gap and seedling is in canopy a new distance is calculated as though the parent was also in canopy The shortest of the two distances is used to determine where the seed lands If the seed lands in a gap cell the behavior walks out the line of the seed s path from parent to target landing cell checking each intermediate grid cell s cover along the way If any of the grid cells in the line are under canopy cover the seed drops in the first canopy cell it reaches How to apply it Apply this behavior to all trees of at least the minimum reproductive age for your chosen species If the minimum reproductive age is less than the Minimum adult DBH be sure to apply this behavior to saplings as well as adults In the parameters choose the appropriate probability distribution function for each species for each forest cover type This behavior can be used to simulate the suckering of stumps Apply this behavior to tree type stump of your chosen species Stumps reproduce like other parent trees except they always assume they are in a gap They use the same probability distribution function and parameters as live members of their species but they get their own p and STR values so that they can produce different numbers of
422. torm Susceptibility Pattern parameter and the method of storm damage application entered in the Storm Damage Application parameter Storm susceptibility is measured on a scale from 0 not susceptible to damage to gt 1 highly susceptible to damage The pattern of storm susceptibility can be either Uniform meaning all locations within the plot have a susceptibility of 1 or Mapped meaning that you will provide a map with a susceptibility for each location in a grid called Storm Susceptibility The method of storm damage application can be either Deterministic meaning that each location receives the storm s severity index or Stochastic meaning that the storm s severity index provides a mean around which individual location severities are randomized There are two possible probability distribution functions for stochastic damage application normal and lognormal The normal distribution is where o is the function standard deviation Mean is zero in this equation the final value is reached by adding the function result to the mean The lognormal distribution is J fing x C j 1 Lot e I 7 o l d E AUWZTO Ya p xJdx where is the function mean and o is the standard deviation Combining these two parameters provides four possibilities for the way a storm s damage is applied 1 Mapped Deterministic The damage index for a location equals the susceptibility of that location multiplied by the storm s
423. trate that survive to become seedlings Expressed as a value between 0 and 1 Used by the Substrate Based Seed Survival With Microtopography behavior GLI of Optimum Establishment 0 100 The GLI value of optimum survival for seeds as a value between 0 and 100 Used by the Light Dependent Seed Survival behavior Height in m At Which to Calculate GLI The height in meters at which to calculate GLI at the center of each grid cell Used by Light Dependent Seed Survival behavior Last Day of Growing Season for GLI Light Calculations The last day of the growing season as a Julian day number between 1 and 365 Seeds only get light during the growing season See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Light Extinction Coeff of Complete Damage Trees 0 1 The fraction of light transmitted by the crowns of trees with complete Storm damage Not required if storms are not used Expressed as a value between 0 and 1 If storms are used a value must be supplied for every species See Light Behaviors for more on GLI calculations Used by the Light Dependent Seed Survival behavior Light Extinction Coeff of Medium Damage Trees 0 1 The fraction of light transmitted by the crowns of trees with medium Storm damage Not required if storms are not used Expressed as a value between 0 and 1 If storms are used a value must be supplied for every species See Light Behaviors for more on GLI calculations Used by
424. ty episode is applied SORTIE will work its way down the trees in the disturbed area in size order killing each one that brings the amount of basal area killed closer to the target amount without going over If the size class range and the disturbed area are both large the amount of basal area killed is likely to be very close to the target Diameter Range s to kill Enter the size class ranges you are killing You must enter at least one For each size class enter the minimum and maximum DBH and the amount to kill in that range The units of amount to kill will depend on what you have entered in Amount of mortality type Kill ranges may not overlap Choosing the area to which to apply the planned mortality episode To specify the plot area to which to apply the planned mortality episode select the appropriate cells on the map Cells are each 8 meters by 8 meters Selected cells will show up in color and unselected cells will be white You can click and drag to mark out an area or click on individual cells Clicking or dragging on selected colored cells causes them to become unselected white 07 Dec 2004 10 55 AM Edit Planting Window This window is reached from the Edit Episodic Events Window by clicking on the Plantings tab and selecting New or Edit This window is where you create a new planting event or edit an existing one Along the left portion of the window you enter data about the planting On the map in the c
425. ty is treated as a straight probability of mortality for all trees For example if a storm occurs of severity 0 05 all trees have the same 5 chance of dying If a storm return interval s severity is set to 0 then that storm never occurs It is possible for a storm to occur and kill no trees especially if it is a very mild storm or the forest has no large trees Unlike the other SORTIE storm behaviors there is no damaged but alive state After a windstorm a tree is either dead or in perfect health Storm events happen independently Every time a storm happens all eligible trees have a separate chance of mortality Of course the storms can never truly be independent A storm can only kill the trees that another storm hasn t already killed Trees killed in a windstorm are treated like trees killed in natural mortality They will form snags if the run uses snags and are available for processes such as substrate Seedlings and snags are never killed by storms For adults and saplings only those trees to which the Windstorms behavior has been applied will be considered for storm mortality and of those trees only those trees with a DBH larger than the value in the Windstorm Minimum DBH for Windstorm Mortality parameter can be killed You can delay the introduction of windstorms into the run using the Windstorm Timestep to Start Storms parameter If this value is greater than 0 no storms will occur until that timestep is reached Inf
426. ut files If you are running a parameter file more than once SORTIE ND will automatically rename each run s output files so that they will be numbered sequentially For instance if your parameter file saves a file called my out out and you use a batch to run the file three times you will get the following output files my out 1 out my out 2 out and my out 3 out Running a batch Once you have created a batch file you can run it by choosing Model gt Run Batch This allows you to select the batch file you have created Once you have selected it SORTIE ND will begin running your batch You do not have to have a parameter file of any kind loaded into SORTIE ND to begin a batch run If you have a parameter file currently loaded it will have no effect on the batch run You cannot view output during a batch run like you can with a single run This is because of the difficulty SORTIE ND would have in managing the many possible output files You also cannot pause a batch run only stop it However if you do stop a batch run any output that was created before you stopped it will still be present and available If a simulation within a batch fails for some reason SORTIE ND will attempt to skip that simulation and complete the others specified in the file Last updated 01 Apr 2005 01 29 PM File menu New parameter file Use this option to be led through the first steps of creating a new parameter file from scratch You start with the Tr
427. valid if the run is to succeed so the file will be validated before the run occurs You will get an error message if there is something wrong with the parameter file If there are unsaved changes to the current file a temporary file is written so that the model runs with those changes included Keep an eye on the status bar at the bottom of the SORTIE screen It will display the status messages from the running model Run Batch Allows you to select a batch file and then run the batch You can read more about batch runs here You create batch setup files using the batch file setup window You can run batch files without having a parameter file loaded Pause If there is a run in progress you can pause it with this option You can resume the run by choosing Run again This does not apply to batch runs They cannot be paused only stopped Stop run If there is a run in progress this will stop it Last updated 01 Apr 2005 01 45 PM Help menu Contents Accesses the SORTIE help Trees In this document Tree life history stages Tree life history stage transitioning growth and death Tree organization Tree population initial conditions densities and maps Tree parameters The basic unit of data in the model is the tree Each tree is a discrete individual with a location in space and attributes which describe its size and shape More information about how tree size is measured and how different aspects of tree shape are
428. vative work under copyright law that is to say a work containing the Program or a portion of it either verbatim or with modifications and or translated into another language Hereinafter translation is included without limitation in the term modification Each licensee is addressed as you Activities other than copying distribution and modification are not covered by this License they are outside its scope The act of running the Program is not restricted and the output from the Program is covered only if its contents constitute a work based on the Program independent of having been made by running the Program Whether that is true depends on what the Program does 1 You may copy and distribute verbatim copies of the Program s source code as you receive it in any medium provided that you conspicuously and appropriately publish on each copy an appropriate copyright notice and disclaimer of warranty keep intact all the notices that refer to this License and to the absence of any warranty and give any other recipients of the Program a copy of this License along with the Program You may charge a fee for the physical act of transferring a copy and you may at your option offer warranty protection in exchange for a fee 2 You may modify your copy or copies of the Program or any portion of it thus forming a work based on the Program and copy and distribute such modifications or work under the terms of Section 1 above provided that y
429. ve the Total line from line graphs e The output for histograms is now written in table format when saving a text file for the entire run e When creating a batch file you can now select and add multiple files at once e The size of DBH circles on the XY Tree Map change size to match zooming e The summary output file plot table now has a go to timestep control e The values in the Dispersed Seeds grid are now available for output e Fixed bugs relating to the adding removing and renaming of species e Fixed a bug with how the Planting behavior dealt with plot edges Version 6 07 released November 30 2006 Note If you have a parameter file from an earlier version and you are using behaviors that have been updated in version 6 05 load your file and save it SORTIE ND will automatically make any needed adjustments to your parameter file New in version 6 07 e You can now track subplots for detailed output files e The File menu now has an option for setting a working directory e New analysis behavior Partitioned DBH Biomass which calculates biomass separated out by branch leaf and bole e New analysis behavior Partitioned Palm Biomass which calculates biomass separated out by leaf and bole e New light behavior Average Light which averages together existing GLI calculations e New disturbance behavior Harvest Interface which provides a link between SORTIE and a separate application for doing harvests e New mortalit
430. vel High Light b The b value in the high light growth function Used in the Puerto Rico storm bi level growth diam with auto height behavior PR Storm Bi Level Intercept for Low Light Growth a The intercept of the linear growth function used in low light conditions Used in the Puerto Rico storm bi level growth diam with auto height behavior PR Storm Bi Level Slope for Low Light Growth b The slope of the linear growth function used in high light conditions Used in the Puerto Rico storm bi level growth diam with auto height behavior Relative Michaelis Menton Growth Diameter Exponent The exponent to be used with diameter when calculating relative growth Used in the Relative growth behaviors Relative Michaelis Menton Growth Height Exponent The exponent to be used with height when calculating relative growth Used in the Relative growth height only behavior Shaded Linear Diam Intercept in mm yr a Intercept of the size dependent growth potential in mm yr Used by the Linear growth w exponential shade reduction diam with auto height and Linear growth w exponential shade reduction diam only behaviors Shaded Linear Diam Shade Exponent c Effect of shading Used by the Linear growth w exponential shade reduction diam with auto height and Linear growth w exponential shade reduction diam only behaviors Shaded Linear Diam Slope b Slope of the size dependent annual growth poten
431. ves of our free software and of promoting the sharing and reuse of software generally NO WARRANTY 11 BECAUSE THE PROGRAM IS LICENSED FREE OF CHARGE THERE IS NO WARRANTY FOR THE PROGRAM TO THE EXTENT PERMITTED BY APPLICABLE LAW EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT HOLDERS AND OR OTHER PARTIES PROVIDE THE PROGRAM AS IS WITHOUT WARRANTY OF ANY KIND EITHER EXPRESSED OR IMPLIED INCLUDING BUT NOT LIMITED TO THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM IS WITH YOU SHOULD THE PROGRAM PROVE DEFECTIVE YOU ASSUME THE COST OF ALL NECESSARY SERVICING REPAIR OR CORRECTION 12 INNO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING WILL ANY COPYRIGHT HOLDER OR ANY OTHER PARTY WHO MAY MODIFY AND OR REDISTRIBUTE THE PROGRAM AS PERMITTED ABOVE BE LIABLE TO YOU FOR DAMAGES INCLUDING ANY GENERAL SPECIAL INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE USE OR INABILITY TO USE THE PROGRAM INCLUDING BUT NOT LIMITED TO LOSS OF DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF SUCH DAMAGES END OF TERMS AND CONDITIONS WWW gnu Org
432. vior calculates merchantable tree volume Make sure to distinguish between this behavior and the other tree volume behavior How it works Tree volume is calculated as follows V b0 bl DBH P b3 DBH Height where e V gross volume in cubic feet e Height bole length in feet as a multiple of 16 for usable 16 foot logs e DBH DBH in inches e b0 b5are the following parameters Bole Volume Parameter b0 Bole Volume Parameter b1 Bole Volume Parameter b2 Bole Volume Parameter b3 Bole Volume Parameter b4 and Bole Volume Parameter b5 The bole length is the number of 16 foot logs the tree can provide in feet i e 3 logs bole length of 48 feet The base of the bole is the top of the cut stump the top of the bole is the merchantable height This behavior defines the merchantable height as the height at which the trunk diameter inside the bark tapers to 60 of DBH To determine at what bole length the merchantable height occurs the behavior tries fitting in as many 16 foot logs as possible before the 60 taper occurs The amount of taper at the top of the first 16 foot log is established by the form classes A species s form class is the percentage of DBH to which the bole has tapered at the top of the first 16 foot log This value is entered as the Bole Volume Form Class 60 100 parameter Then the behavior determines how many more logs the tree contains The amount of taper at the top of the
433. volume calculator behavior e Tree Biomass Biomass Biomass of the tree in metric tons Mg Created by the Dimension analysis behavior e Tree Age Tree Age Age of the tree in years Created by the Tree age behavior e Snag Decay Class SnagDecayClass Snag decay class Created by the Snag Decay Class Dynamics behavior e New Break Height NewBreakHeight Snag break height if the break occurred this timestep 1 if the snag is unbroken Created by the Snag Decay Class Dynamics behavior e Snag Old Break Height SnagOldBreakHeight Snag break height if the break occurred in a previous timestep 1 if the snag is unbroken Created by the Snag Decay Class Dynamics behavior e Fall Fall Whether a tree that has died this timestep has fallen true or remains standing as a snag false Created by the Snag Decay Class Dynamics behavior e Pre harvest growth PreHarvGr Growth prior to the last harvest Created by the Lagged post harvest growth behaviors e Crown Radius Crown_Radius A tree s crown radius in meters Created by the Crown Radius Reporter behavior Deprecated Last updated 03 Jun 2009 03 04 PM Behaviors In this document Defining the scope of a behavior s actions Behavior order and dependencies Behavior data Links to individual behavior documentation Behaviors perform all the action when a simulation is running Each behavior represents a step in the overall simulation It retrieves data ma
434. w is reached using the Edit gt Output options choice on the menu of the main SORTIE window It is a gateway to managing the output options for a run What you save for output depends on what data you want to be available to you after the run For more on output in SORTIE including a guide on what to save see the Output in SORTIE topic For a list of data visualization options and what you need to save to use them see the Data Visualization topic Save Summary Output File out This button opens the Summary output file setup window for saving short or summary output files As a quick check the text just below this button will tell you if there are currently summary output file save settings Save Detailed Output File This button opens the Setup detailed output file window for saving detailed output files As a quick check the text just below this button will tell you if there are currently detailed output file save settings 25 Jan 2005 12 50 PM Setup detailed output file window This window is reached from the Output setup window It is the first step in setting up a detailed output file What you save for output depends on what data you want to be available to you after the run For a list of data visualization options and what you need to save to use them see the Data Visualization topic Output file name Enter your output file name here You can use the Browse button to help you enter a path If you don t use
435. w it works This assigns a constant GLI value to all trees to which it is assigned This value is set in the Constant GLI Constant GLI Value 0 100 parameter How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string Constant GLI GLI light For more on what GLI is and how it is calculated see above How it works This behavior calculates a Global Light Index GLI value for each individual of each tree type to which it is assigned GLI values range from 0 no sun to 100 full sun How to apply it This behavior may be applied to seedlings saplings and adults of any species Behavior reference string glilight Quadrat based GLI light For more on what GLI is and how it is calculated see above How it works This behavior uses a grid object called Quadrat GLI to help it assign GLI values to the trees to which it is assigned The grid cells are the quadrats in this case this is a throwback to old SORTIE terminology Each grid cell in which there is a tree to which this behavior applies has a GLI value calculated at its center at a height that the user specifies All other trees to which this behavior applies that are in that same grid cell get that same GLI value This behavior saves having to calculate a different GLI value for each tree GLI values range from 0 no sun to 100 full sun For efficiency this behavior does not calculate the value of a grid
436. window will list the Ripley s K grid Save all the data members of this grid You can then view the K values as a line graph and use the graph to save the K values as a text file Behavior reference string Ripley s K Storm Killed Partitioned DBH Biomass This behavior calculates biomass of trees killed in storms as a linear function of DBH partitioned into leaf branch and bole biomass How it works Biomass is calculated in exactly the same way and using the same parameters as for the Partitioned DBH Biomass behavior except it only calculates the biomass of those trees killed by the Storm killer behavior How to apply it Apply this behavior to saplings adults or snags of any species This behavior does not automatically create output Once you have added this behavior to your run the Detailed output grid setup window will list the Storm Killed Partitioned Biomass grid You can then view the contents of this grid as a table using SORTIE s data visualization system Behavior reference string Storm Killed Partitioned DBH Biomass Storm Killed Partitioned Palm Biomass This behavior calculates biomass of trees killed in storms as a linear function of tree height partitioned into leaf and bole biomass How it works Biomass is calculated in exactly the same way and using the same parameters as for the Partitioned Palm Biomass behavior except it only calculates the biomass of those trees killed by the Storm killer behavio
437. y behavior Aggregated Mortality which clumps together tree death in both time and space e New mortality behavior Exponential Growth and Resource Based Mortality which calculates mortality as a probability of growth and a second resource e New light behavior Constant GLI which provides the same value of GLI to every tree this behavior replaces the Constant full GLI behavior e Added the possibility of cyclicity in storm frequency and intensity through time to Windstorm Minor changes and bug fixes e Clicking on an output graph to bring it to the front causes its legend to come to the front as well e The extra step of clicking a button to save a file has been eliminated when editing a batch file e The XY Tree Map now has a minimum display DBH control e If multiple output files are open and you choose File gt Close output file from the main menu you will have an option to close all of the files at once e The Tree setup window has a new button for adding a tree map to the current parameter file e If multiple behaviors use the same grid that grid will display correctly for entering grid maps e The Grid value edit window now correctly saves the last value entered even if the cell is still in edit mode e Fixed bug that caused changes to output settings for members of grids to become new entries rather than replacement entries this also caused the output settings for grids and trees to behave in the same way e Fixed a bug all

SORTIE 6.10.01 User Manual - sortie-nd

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