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USER'S MANUAL FOR THE EXCEL APPLICATION

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1. sk BEL TEE poe imn cmi Figs DE perat i ep s TA ria p samananta E nh ee ie ahri mape Ima ia sor cce Pia Tu HTM Pee TEIM ear pha eee ble 2 Seek m eee ee eee manm Pa Tle 1290 ee SS Ar im m TR m Ge Im t na m He 11 jum bas m muna B p m ii ir map FR Lig pn sa 4 Table 1 1 2 Summary of summary by country Table 1 1 2 Summary of summary by Regime 1 Deterministic First and Regime gt country Determilmistie a Advice Last ye r o First and Last year B Pi p ri HN mulu r 1 mu a dmm a uide qe Dae qum Hia m m Ra Lern lama Lama Pi _ S aed tus PS DEGREE Gr EDS Se pen dem sh Pep EHLE sq ISU era Ss EIET Fas i Eres ra UA enia
2. 0 5 l EZ id o gt POC rE nee NEW CASE DIMENSIONS F Version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 eae eee Dl JIMEN A x i 5 iE Evaluation Frame for fizheriez ma Fi le list Main Menu B Yersion EXCEL 2003 MS Visual E 7 Dane 5 Marine Fisheries Department Give name to new case study 6 DIFRES Danish Institute of Marin EN Note Dio not insert or delete rows 1 r n 1 j Not Done Read names of stocks countries and areas B Not Done STEP 2 Table 1 1 BASIC DIMENS ME STEP 4 Read fleet names and age groups B Not Dane EN Number of periods 16 Number of Stacks NEN eee 17 Number of Countries STE 5 Read fleet dimensions Not Done E Number of Areas Number af gt gt STEP 6 Read names og sizes riggings B Not Done el 4 k HN Old Dim 5501 DIM QUIT Go Back Cancel entry of new case study B Klar Figure 2 4 7 End of step 2 Starting up a new case study with TEMAS Also the First year 2000 is Figure 2 4 5 is a default value and any positive value will be accepted Next to the table with basic dimensions Figure 2 4 5 are grey table templates which indicate the current maximum allowed dimensions If you exceed the limits TEMAS will give an error message and stop Clicking on OK allows you to enter the new basic dimensions Figure 2 4 6 and 23
3. zarkFlnui ANALYSIS C 955970 ses ses e Garh Flow GOVERHMEMTEBUDGET TT19849 3 55594 34 E11 T Ll Ted 15 5 1 451919 6 SE 05 CarhFlnu GOVERHMEMTEUDGETANA 7720141 2364205 diz s nz 3666295 Tzd amp is 5 1244 3 5 119920 2 carb Flou GOVERMMENTEUD 1 amp E T m mE mE HEU cork Flou G0 V EFHEEHT BUDGET 1 1 0 SER T ERE 51 Carh Flow ECONOMIC AHALYSIS 7219191 292127 5 2219920 dT amp Ti5i z amp zi6kbd rEzbrz bk zu2ezd T 479523 E 5 ANALYSIS T318zz 5 0 2924127221 2319920 4767151 2521664 ribz kg Td60 452 37 Sz sark Flou ECONOMIC ANALY 1 54 FSR inis HEU cork Flou ECONOMIC ANALYSIS 1 1 7 0 zt TntalLandingr ITO IT B 5172107 10592 241 227 194 9931 2 12971 55 17426 70 59 Total Landingr 27 27 5 5172107 116 05494 241255 194 9941 44 593 BLEE 0 216021 54 Total Value 924442 2 1148517 2 429 41 4055731 STREET zdzaz 0 5 649562 9 Tokal Value 924512 6 11495317 5429641 4058731 976267 1 59 10366 46 Hean Value f Eq 23179 98 2299015 zzb z T4 Engst zjanzdz q 6T4 T Tirrz 31 12461 Mean Value f Eq eddjaz za zz1r 36 zz2 0 5 cz
4. 23 Gotland Baltistan Trawler Baltistan Small gt 0mm 24 West Baltic Baltistan OB Trawler Baltistan lt 110mm 08311 18155 14357 D50347 18241 eh East Baltic Baltistan Trawler Baltistan Medium lt 110mm eb Baltic Baltistan OB Trawler Baltistan Medium ti rnm 27 Bornholm Baltistan OB Trawler Baltistan Medium lt 0 0 0 0 28 Gotland Baltistan Trawler Baltistan Medium lt 10mm 29 West Baltic Baltistan DE Trawler Baltistan Medium gt 11245 2 5496 20069 0 6932 2 5054 30 East Baltic Baltistan Trawler Baltistan Medium 110mm 0 31 Alot Baltic Baltistan OB Trawler Baltistan Medium gt TOmm 32 Bornholm Baltistan OB Trawler Baltistan Medium gt 33 Gotland Baltistan Trawler Baltistan Medium gt Tl rnm 34 West Baltic Baltistan DE Trawler Baltistan Large ti rnm 0 2552 0 56 04243 DJ354 0 4784 35 East Baltic Baltistan OB Trawler Baltistan Large lt 110mm 0 0 0 3b Not Baltic Baltistan OB Trawler Baltistan Large
5. Exponent Deriso schnute model Table 2 5 2 Names of Stock recruitment parameters EXCEL Table 2 2 1 The parameter RelStDev R is a parameter in stochastic model of recruitment Rec St y e e STR SSB py St y 1 0 0 St Where EsR St sni St Rrepvoi St is the product of two stochastic factors of stock recruitment relationship of stock St The factor Esri St is a stock dependent log normally distributed stochastic variable with mean value 1 0 and standard deviation RelStDev R The factor Rrepvoi St the reproductive volume factor is specially designed to accommodate the dynamics of Baltic cod where the recruitment is believed to be enhanced by large reproductive 38 EM TEMAS Manual 18 February 2008 volumes outstanding years This happens only in certain years and sp2 St is a uniformly distributed stochastic variable controlling a reproductive volume factor Rrepvoi St MagOutstYrs St if st IF Pr St R St 1 if fs St gt IF 51 y Where the Inflow probability is given by the model IFPr Sy y 1 AutocorrOutstYrs St Inflow y 1 FreqOutstYrs St Where AutocorrOutstYrs St is the autocorrelation parameter of inflow years and FreqOutstYrs St is the average number of years between occurrences of large reproductive volumes MagOutstYrs St is the average relative magnitude of recruitment in years
6. F a campum se SS a GONG o GENES nl m been f rge derri tq i s P munaa EN munaa I bre ppl lH ae Bont ee SITES be mu 3 hz LE TFI LOT za Ba 1 hi ET ut mm armin mne m ut p Pe pee ae kim E uis hatta TL prit ead roses umet wm A Hul LE 8 asss Hio iiiki wea m Hin eee ee TQ A DH rds E pe a amp wa Un tau t La SB Ph BELL i eee IM Tung Output kiral Fest Chaput Stick Output Ouipul jSumwnary Dutput eii AK i _ ds DibabiIei laBiEdag d umm arg CR Lilamibila niian i Bie sissa LI u fmadarasdixaza Pm ik Cm d 1 Pech mo parimas parainen h m avy imm Pn TEMAS Manual 18 February 2008 Table 1 1 1 Summary of summary by fleet Camparison Pair Deterministic First and of regimes Last year ee Bd e m x um bee bern hefe 28 Pose Pete Prmyhi
7. 2 Ark1 502 STOCK 4 SD3_FLEET f Ark2 SD4_EFFORT S05_BO lt Figure 2 8 7 a First fleet characteristics vessel length used used Figures 2 8 7 a b show the vessel characteristics Recall EXCEL Tables 5 1 2 that specifies 3 fleet characteristics Vessel length Engine KgWat of which the second characteristics vessel tonnage is used for regulation on the country level EXCEL Table 5 5 1 Figure 2 8 7 a contains the vessel lengths and EXCEL Table 5 5 2 contain the total characteristics for the fleets EXCEL Tables 5 5 3 5 are the tables for regulations that 1s the maximum level of the total characteristics There are three possible levels for the regulation 1 By Country 2 By Fleet Country 3 by Fleet Vessel size Country Nome of the three options EXCEL Tables 5 5 3 5 are used In figure 2 8 7 b containing the tables with vessel tonnage it can be seen that this characteristics on country level is used for regulation 1 e there is an upper limit for the total vessel tonnage of the country EXCEL Table 5 5 8 75 Table 5 5 6 2343 OB Trawler Baltistan Small 350 OB Trawler Baltistan Medium 351 Trawler Baltistan Large 352 Gillnett Baltistan Small 353 Gillnett Baltistan Medium Gillnett Baltistan Large 355 57 Table 5 5 7 zu 360 OB Trawler Baltistan Small 361 OB Trawler Baltis
8. s 301 Table 5 5 1 Baltistan FLEET CHARACTERISTICS Length 2000 F er 1 Initial 2000 2101010 2000 2001 2001 z001 2001 2002 2002 2002 2002 2003 2003 2003 302 number Fer z Fer 3 Fer 4 Fer 1 Fer z Fer 3 Fer 4 Fer 1 Fer z Fer 3 Fer 4 Fer Fer Fer 3 303 Trawler Baltistan Small 304 DE Trawler Baltistan Medium 305 Trawler Baltistan Large 306 Gillnett EBaltistan Small Gillnett E altistan Medium Gillnett Baltistan Large 303 Fleet characteristics Length 310 312 Table 5 5 2 Baltistan START NUMBER OF VESSELS FLEET CHARACTERISTICS Length 2000 1 Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 313 number Ferz Pers Pert Per Ferz Pers Pert Feri Pers 4 Feri 2 Pers 314 Trawler Baltistan Small 600 600 B00 eun B00 B00 B00 B40 B40 540 40 B40 64 315 Trawler Baltistan Medium B50 a00 B50 316 OB Trawler Baltistan Large 0 0 0 0 0 0 0 0 0 0 0 0 0 0 317 Gillnett Baltistan Small fell reo reo ra T20 fell reo 810 THE 75 318 Gillnett Baltistan Medium 980 980 980 980 990 980 980 We 980 930 980 380 980 980 38 313 Gillnett Baltistan Large T 0 0 0 0 0 0 0 0 0 0 0 0 0 320 Fleet characteristics Length 321 322 323 Table 5 5
9. First Year period Oldest age Second step is to change the catchability Q by the tuning factor Q Stock Year period area fleet is replaced by TuningFactor Q Stock First year period area fleet F Effort by area and fleet This tuning requires that fishing mortalities Fruning has been estimated or be assigned plausible values by period area and fleet and that effort also have been been observed Then the catchability is computed by F yng Stock Period Area Fleet Effort First year Period Area Fleet for the first year Subsequently all years are assigned the same values O Stock first year Period Area Fleet O Stock year Period Area Fleet Q Stock First year Period Area Fleet 178 aaj TEMAS Manual 18 February 2008 How to tune TEMAS To tune TEMAS can somewhat be called an art rather than a science Basically you find a satisfactory tuning by trial and error The worksheet Tuning Output in workbook TEMAS CALC contains some diagnostic output showing the relative deviation between observations and calculated values see Figure 4 4 2 D x ES BEAM_CALC E M ri ee E j s L GS sp s CR RUN BEAM 5 BIO ECONOMIC ANALYTICAL MODEL OUTPUT TUNING Fisheries Department 4 Yersion 1 0 22 July 2000 EN of Fun DEMONSTRATION EXAMPLE 4 WITH FAKE ODATA 2 fleets 2
10. nennen 151 4 4 DETAILED ECONOMIC OUPUT FROM SINGLE 0000000 0 0 000 0000068 155 4 5 OUTPUT FROM STOCHASTIC SIMULATIONS sess 157 SN DPI THE LO HER 161 SERMO SUBE S ap 161 9 2 9 TART CALCULATIONS C 162 5 4 RUN OPTIONS OF TEMAS AND RUN MESSAGES 164 SOP a s s GES PAP S ASS ere ne ee E 166 FU TON cares sect enc ceca pe asa ine ee eee u enue 168 INTRO CRON u ee ee eee 168 6 2 CACIBRATON OF TEMA u ux 168 O TORIN OPE EIU to c 172 7 BREAK DOWN OF TEMAS ERROR 55 4 044 180 113 TEMAS Manual 18 February 2008 1 INTRODUCTION 1 1 WHAT IS TEMAS OR THE EVALUATION FRAME The software package presented here is named TEMAS Technical Measures because it was originally developed to assess the effect of mainly technical management measures A broader broad descriptive name is Evaluation Frame EF The first version of the package for technical management measures was presented in Ulrich et al 2002 and a more comprehensi
11. a71 ari ari ari ari ari 871 ar 338 25 Baltistan Trawler Baltistan Large 201 201 201 201 201 201 201 134 134 134 134 134 134 134 134 T3 2 Baltistan Gillnett Baltistan Small Z680 2690 2680 z680 2680 2680 2680 2814 2814 2814 2814 2814 2514 2514 esa 3015 Baltistan Gillnett Baltistan Medium 1340 1540 1340 1340 1340 1340 1340 1340 1340 1340 1340 1340 1340 1340 1340 1407 28 Baltistan Gillnett Baltistan Large 335 335 335 335 335 335 335 268 268 268 268 268 268 269 268 268 29 Scandinavia OB Trawler Scandinavia Small 3350 3350 3350 3350 3350 3350 3484 3494 3484 3494 3454 5494 3454 5494 3685 30 Scandinavia Trawler Scandinavia Medium 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1742 1803 Scandinavia Trawler Scandinavia Large 402 402 402 402 02 02 02 335 335 335 335 335 335 335 335 335 Scandinavia Gillnett Scandinavia Small 2014 2814 2514 esa 2814 esa 2814 2848 2348 29548 2348 2948 28948 2948 2343 3143 33 Scandinavia Gillnett Scandinavia Medium 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1541 1608 34 Scandinavia Gillnett Scandinavia Large 402 402 402 402 402 402 402 335 335 335 335 335 335 335 335 335 This iz the efforts values from which all other effort values are obtained by multiplication by the and the distribution They equal the capacity which is defined as Capacity Number of wWesz lez Em 6
12. m m h m h m Gill net Large lt 120mm Gill net Large gt 120mm 1 1 1 1 1 1 1 1 1 1 1 Fraction of sea days given by regulation Must be in interval 0 1 1 Total closure of entire period closure 0 s 1 closed in the a Ref Effort where Reference Effort m Figure 2 15 4 b Maximum number of sea days and seasonal closure MPA for one country Baltistan and two areas East Baltic Bornholm in 2 with MPA Bornholm and closed season 27 and 3 quarter in area East Baltic Tables 2 15 4 a and b illustrate the data structure by management regimes Figure a represents a strategy with no closed areas no MPA and with no closed season EXEL Table 14 2 1 1 2 2 has 1 everywhere indicating that fishing 1s allowed through out all periods whereas EXEL Table 14 2 2 1 2 2 shows that for Regime 2 only 25 of time period 2 and 3 are open for fishing Thus in Regime 2 periods 2 and 3 are 75 closed seasons EXCEL Table 14 2 1 1 3 1 has maximum number of sea days larger than zero so the Bornholm area is not a MPA in Regime 1 where EXCEL Table 14 2 2 1 3 1 has zero s everywhere indicating that fishing 1s prohibited throughout the year Thus the Bornholm area 1s an MPA in Regime 2 The 115 EM TEMAS Manual 18 February 2008 MPA ne
13. 130 East cod Gillnett Exaltistan gt 10mm Gear selection Factor Mesh size L50 Body length at which 50 of the fish entering the gear are retained Table 3 2 3 Baltistan GEAR SELECTION RANGE L75 L25 Species Fleet V Size Rig 136 2000 1 2000 Per 2 2000 Per 3 2000 4 2001 1 2001Per 2 2001Per 3 2001Per A eL 137 West Cod DB Trawler Baltistan lt 110mm 138 West Cod OB Trawler Baltistan gt 110mm 133 West Cod Gillnett Baltistan lt 110mm 140 West Cod Gillnett Baltistan 10mm 141 East cod OB Trawler Baltistan lt 142 East cod DB Trawler Baltistan gt 110mm 143 East cod Gillnett Baltistan lt 110mm East cod Gillnett Baltistan gt Gear selection range 7 26 LOOR L25 Body length at which 75250225 of the fish entering the TAE 4 k HX 501 4 Arki 502 STOCK 3 503 FLEET 504 EFFORT gt Figure 2 6 4 Gear selection parameters The absolute catchability coefficient is EXCEL Table 3 1 1 Baltistan FL Vs Ct St Ar and 3 1 3 Scandinavia The absolute catchability for Baltistan Is shown In Figure 2 6 2 EXCEL Tables 3 2 6 1 5 Baltistan EXCEL Tables 3 2 12 1 5 Scandinavia contain the area specific relative catchability Q FI Vs Rg Ct St y q Ar Figure 2 6 6 The relative catchability can take only values between 0 and 1 and is used to model ch
14. Age 2 Age 3 Age Age 3 Age 3 Age 4 Age 4 Age 4 Age 4 Age Fer Age Age Fer 1 1 1 1 Age z Age 2 Age 2 Age 2 Age 3 Age 3 Age 3 Age 4 Age 4 4 Age 4 1 z 3 p da pa CO PS I 2 3 e qa N DS Relative price Price flaximum price over groups Mote that the program will normalize Table 6 2 3 Baltistan PRICE FLEXIBILITY OB Trawler Ea Gillnett Baltistan The parameter Flexibility in the model flasimum Price PO Landings Flexibility where PO i d Figure 2 9 3 Relative prices The explanation below the EXCEL table 6 2 2 says Relative price Price Maximum price over age groups Note that the program will normalize the values you give as input so that maximum becomes 1 0 The explanation below the EXCEL table 6 2 3 says The parameter Flexibility in the model Maximum Price 0 Landings Flexibility where 0 is a constant 79 TEMAS Manual 18 February 2008 PREPROCESSING OF PRICES INPUT Figure 2 9 4 Options for pre processing
15. F Mumber of Countries 18 Mumber of Areas 18 Number of Years 20 Fist Years Goto Main Meri Table 1 5 1 3 Irel Wee Table 1 5 2 3 Gre Wes 2 Table 1 5 1 1 gt oF Read Dimensions from diskite Trawl New case delete current case Gill netter Head names fram workseei Trawler Giarn baad SYSTEM DIMEMSIONS CHANGE SYSTEM DIMENSIONS FOR NEW CASE STUDY Are vou sure you really wank to change the system dimensions 39 ARE THE EXISTING CASE STUDY WILL BE REMOVED FROM THE SPREAD SHEET an BUT INPUT DATA FROM CURRENT CASE STUDY WILL REMAIN ON DISK FILE 41 South ares 42 North area 43 IF you click on Wes vou will activate the menu For new case study 45 Table 1 6 3 STC 45 47 Cod South area 48 Cod Morth area y HN Old Dim 01 DIM ud Ready 2 Figure 2 4 1 Starting new case study with TEMAS Clicking on Yes gives you the menu for New case study and the Next Step button Figure 2 4 2 As appears the procedure for starting up a new case study is organized in steps What happens in each step is that TEMAS creates the data files on the hard disk that will contain the parameters variables and results It is important that the steps are executed in the given order as TEMAS will otherwise not be able organize the data files E g it must know the number of fleets in each country before it c
16. 0 1 1 1 1 1 0 0 0 0 _ 00 1 3 0 3 01 3 2 4 2 _ 4 3 3 4 3 2 2 1 1 1 3 7 4 9 3 10 033 13 4 dH 4 100 4 8 7 8 6 7 n 10 d 5 8 5 6 5 100 6 8 8 8 04 4 3 4 3 8 6 8 8 8 d f 6 6 6 5 7 2 3 2 _ 4 2 9 9 2 3 6 7 6 6 4 5 3 5 0 3 0 oO 0 2 0 0 oO 0 0 2 1 2 1 2 0 2 1 2 1 2 0 1 0 0 1 1 2 1 2 TABLE 3 5 3 Summary output of stochastic simulations from work sheet NPV Output 160 EE TEMAS Manual 18 February 2008 5 RUNNING THE TEMAS 5 1 DO S AND DON TS When running TEMAS you may do any calculation or manipulation of the TEMAS input tables and output tables by aid of the facilities in EXCEL With the output tables produced by workbook TEMAS CALC there is no special instruction on things you should not do You can do anything you like with the output workbooks except for deleting the sheets or renaming them There are four general warnings on thing you should not when running TEMAS in particular TEMAS INPUT WARNING 1 Do NOT delete any of the standard spreadsheets of TEMAS as that action will cause the TEMAS to crash WARNING 2 Do NOT insert or delete rows or columns between the input cells cells indicated by colours predominantly yellow colour The yellow
17. 1575460 29714 16 Cash Flow ECONOMIC SMALL YSIS qr ret 19300 66 70509 26 3552 42 3105 cash Flow ECONOMIC 7301003 212387 36578 Total Landings 4554179 3085 464 51628 31 3660 331 19 Total Value 102437 5715 223 123618 4 7063 552 183271 Tuning Output Af Extral ra Fleet Output ts St ck _ Output F Economic Output ATES TEMAS_INPUT_ 7Mar07 xls a j xe j o _ om 4 DIMENSIONS RUN INFORMATION Date of this run Mame of Run Param Created File Name Table 1 1 BASIC DIMENSIONS Table 12 STOCKS NMumber 1 of Areas 19 kliimbiar ok s aarc LENA S5 1 DIM Z 502 STOCK NE FLEET Xu EFFORT FE SDS BOATS FE SD6_PRICES Figure 1 2 1 Screen image of TEMAS INPUT and TEMAS CALC run in parallel It is the experience that running TEMAS requires the participation of one or more people who program in VISUAL BASIC Sometimes the program crashes because of tiny problems for a VB programmer Most often these problems are associated with reading the data files from the hard disk An experienced VB programmer can fix such problems in short time The Visual Basic system has powerful debugging facilities but if you do not know how to use it even tiny VB problems may prevent you from operating TEMAS Thus operating TEMAS does not formerly require any knowledge of VISUAL BASIC but practi
18. Po F cm Message Fl Out Area Fl Out Period ST Out lt r HHE Fi igure 3 7 2 b Message from Socha mulfiple simulations when completed 143 424 TEMAS Manual 18 February 2008 4 OUTPUT FROM TEMAS As input to TEMAS the Output is also separated into stock structured output and fleet structured output as indicated by the names of the 16 output worksheets in workbook TEMAS_CALC Summary Output Economic Output Stock Output Fleet Output Stochastic Output NPY Output 4 Tuning Output Rules Ogives St Out Period Z St Out Area St Out Per r Fl Out Period Fl Out Area Fl Out Per Table List Jaf Summary output Figure 3 1 1 2 Stock Output stock structured output Tables 3 3 1 2 Fleet Output Fleet and fleet stock structured output Tables 3 3 3 4 Economy Output Table 3 4 1 2 Stochastic Output Figures 3 2 1 and 3 5 1 Tables 3 5 1 2 NPV Output NPV Net Present Value Tuning Output Figure 4 6 2 Rules Ogives gear selection ogive discard ogives and growth curves not shown here St Out Period Stock output by time period summed over areas St Out Area Annual Stock output by area summed over periods St Out Per Ar Stock output by time period and area O O O O O N Out Period Fleet output by time period summed over areas Fl Out Area Annual Fleet output b
19. TEMAS Manual 18 February 2008 after clicking on the NEXT STEP button you get Figure 2 4 7 Note that step 1 is Done but step 2 is not Only after clicking on Read basic dimensions will step 2 be completed In the example in Figure 2 4 6 1s chosen the maximum dimensions as input 12 time period per year months 5 stocks 6 counties and 5 areas The number of years in the simulated time series 1s reduced from the defaults value of 20 to 10 and the starting year is chosen to be 1995 Clicking on Read basic dimensions will make TEMAS read the values of Table 1 1 and store the values on the hard disk It will also produce the yellow tables shown in Figure 2 4 8 The yellow tables has changed colour from grey because TEMAS now knows the number of names to be expected Figure 2 4 8 shows the table templates for entry of names of stocks countries and areas Note that the tables has the dimensions given in step 2 the basic dimensions These dimensions need not be equal to the maximum values as 1s the case for Table 2 4 6 8 but could have been smaller The names given in Figure 2 4 8 are the standard names given by TEMAS B C D E F G H J K L 1 DIMENSIONS RUN INFORMATION 2 3 4 NE XT STE P Jate of this run 29 03 2007 5 of Run T 8 Param Created 25 03 2007 File Name BalticCodl Note Fill in the above tables and click on on tlie button NEW CASE Delete current 1
20. 2 2001 2 2001 4 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 15 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 18 0 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 16 5 19 8 19 8 19 8 13 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 19 8 L50 Body length at which 50 1 of the fish caught are discarded Discarding iz modelled by the logistic curve Table 3 2 5 Baltistan DISCARDS L75 Species Fleet V Size Rig Trawler Baltistan Small 10mm OB Trawler Baltistan Small gt H mm Trawler Baltistan Medium lt OB Trawler Baltistan Medium gt Tl rmm OB Trawler Baltistan Large Timm OB Trawler Baltistan Large gt Ti rmm Gillnett Baltistan Small
21. Table 2 5 2 West Cod MIGRATION AGE GR 2 ines ae ee ie kukupa MN T able 2 5 3 lt a RN ast cod MIGRATION AGEGR 0 1 Table 2 5 4 East cod MIGRATION AGE GR 2 inca i I UE En Fi igure 2 5 7 a Third part DWG oues Main count nc Bero Tic stock parameters Migration coefficient for Eastern Cod The EXCEL sheet is reduced to a size so that all periods are displayed Details are not detectable 42 TEMAS Manual 18 February 2008 Table 2 5 3 East cod MIGRATION AGE GR 0 1 ee WEST um EAST BALTIC NOT BALTIC FROM BORNHOLM FROM GOTLAND Fer 1 Fer d From Fer 1 Fer 1 Fer From Fer 1 Fer 1 Fer 1 From Fer 1 f Fer 1 Fer 1 Fer 1 Fer 1 Fer 1 From From Work From From From Eart From From From Hnt From From From From From Fer d fFer 1 Fer 1 Fer 1 From Fer 1 Wark Werk Ealkiz Werk Eark Eark Mot Enrnhnl Eornhol Eornhol Enrnhnl From From From Fram Gotland From Ealtiz tn Ealti i Ealtiz tn Ealti i Ealtiz ko Ealtiz mtn m to m ko mto Enrnhnlj Gotland Gotland Gotland to Gotland toEart toHot Enrnhnl to knEark toot Eornhol to toEart toHot Enrnhnl to Work Hot Eornhol mtn km Markt knEark Enrnhnl Ealtiz Ealtiz i Ealtiz Ealtiz Gotland i Ealtiz Gotland Ealtiz Balis Gotland Ealtic Ealtiz Gotland ge Age A
22. The cells of the tables are either yellow or grey The yellow cells are the cells containing input values whereas the grey cells are empty The grey cells indicate the maximum dimensions of the current version of TEMAS As can be seen the maximum numbers of stocks fleets and areas all have the same value namely 10 These limits however can be changed by changing a few lines on the Visual Basic code Microsoft Excel TEMAS IMPUT 27Mar Q7 xls ej s M RUN INFORMATION Date 22 03 2007 19 31 Name Param 12 00 00 AM 00 00 File N DEMON 5 Mig3 Table 1 1 BASIC DIMENSIONS Table 1 2 STOCKS Table 1 3 COUNTRIES Table 1 4 AREAS Number Number of Fleets 15 Number of periods i West 2 Number of stacks Number of Countries 18 Number of Areas 18 Number of Years 20 Fist Years Klar Figure 2 2 1 Example of system dimensions of a case study TEMAS Manual 18 February 2008 Microsoft Excel TEMAS INPUT 27Mar07 xls HER DIMENSIONS 4 RUN INFORMATION SYSTEM DIMENSIONS Date 22 03 2007 19 31 DIMENSIONS Soar 12 00 00 AM 00 00 Version EXCEL 2003 MS Visual Basis 6 3 File N DEMON 5 Mig3 Goto Main Menu CKS Table 1 3 COUNTRIE groups Number of Fle REJ Number of Years 1 20 Fist Years 000 M 4 HXS01 DIM 502 STOCK 503 FLEET 504 EFFORT 505 41 Klar Figure
23. The number of boats or vessels is in TEMAS composed of vessel age groups Index Va that IS NUy FL Vs Ct y q e gt NU veser FL Vs Ct y q Va Va 1 where NUVessei Fl Vs Ct y q Va Number of vessels which has age Va The number of vessels NUvesse Fl Vs Ct y q Va is defined by iteration TEMAS Manual 18 February 2008 42 4112441 NUnew vessei Fl Vs Ct y q NUnew vessei Fl Vs Ct y q NU vesse Fl Vs Ct y q Va NUvesse Fl Vs Ct y Va NU vessei F q 1 Va NU vessei FL y l Max m NUpecomm FI Vs Ct q Va NUbpecomm Fl Vs Ct y 1 Va NU withdrawai Fl Vs Ct y q Va FE NU withdrawai Fl Vs Ct Y 1 NU attrition Fl Vs Ct y q Va NU attritio Fl Vs Ct y 1 Va Vamax NU vessei FI Vs Ct y q Va NU vessei FI Vs Ct y 1 Va plus group NU vessei FI Vs Ct y 4 1 Vaya NU vessei FI y 1 quax Wamax NUpecomm FI Vs Ct q Vawax NU vessei FI y l Max Vawax 1 NU Withdrawai FL Vs Ct 9 Vawax NUnecomm FI Vs Ct y 1 FE NU Aa ttrition FI Vs Ct q Vawax Vs Ct 1 Vawax NU attrition FI Vs Ct y E Vawax Where NUpecomm NU Attrition and are the numbers of vessels withdrawn due to a vessel decommissioning retired vessels having reached the end of their techno economic lifetime
24. where DIS fraction of fish caught which are discarded The discard ogive gives the fraction of fish discarded for any reason as a function of body length is modelled by one minus the logistic curve 48 EM TEMAS Manual 18 February 2008 EXCEL Table 4l Table3 1 1 Baltistan ABSOLUTE CATCHABILITY Table3 1 2 Baltistan PARAMETERS IN MODEL FOR CATCHABILITY 43 Table3 1 3 Scandinavia ABSOLUTE CATCHABILITY Table3 1 4 Scandinavia PARAMETERS IN MODEL FOR CATCHABILITY Table3 2 1 Baltistan MESH SIZE generalized concept Baltistan GEAR SELECTION FACTOR Baltistan DISCARDS 1 50 Baltistan DISCARDS 1 75 Balisan DISCARDSLIS Tames 261 Baia West RELATIVE PERIOD CATCHABILITY 51 Table3 2 6 2 Baltistan East Baltic RELATIVE PERIOD CATCHABILITY Table3 2 7 Scandinavia MESH SIZE generalized concept Table3 2 8 Scandinavia GEAR SELECTION FACTOR Table3 2 9 Scandinavia GEAR SELECTION RANGE Scandinavia DISCARDS 1 50 Le nell Scandinavia West RELATIVE Table 2 6 1 Tables the Fleet input sheet 03 FLEET RUN INFORMATION Date of this run 26 03 2007 09 04 Name of Run Param Created 12 00 00 AM 00 00 File Name DEMON 5 Mig Table 3 1 1 Baltistan ABSOLUTE CATCHABILITY Species Area by Fleet V Size Country Rigging DE Trawler OG Trawler Trawler OB Trawle
25. 3 2000 4 2001 Perdi 2 001Per2 2001Per3 2001Per 4 2002 Perdi 2002 2 2002 Per 3 2002 2003 Perl 2003 F Trawl Small Trawl Small Trawl Large tl rmm Trawl Large gt 110mm Gill net Small lt 120mm Gill net Small gt 120mm Gill net Large Term Gill net Large gt 120mm Mlasimum number of sea days given by regulation Table 14 2 1 1 3 2 Baltistan Bornholm SEASONAL CLOSURE BY REGULATION Fleet V Size Rig Country Area Regime 1 2000 Perd 2000 Perg 2000 2000 4 2001Per 1 2001 Per 2 2001Per3 2 001Per 4 2002 Ferd 2002 Ferz 2002 Pera 2002 4 2003 Perl 2003FP Trawl Small 110mm Trawl Small gt Trawl Large lt 110mm Trawl Large gt 110mm Gill net Small lt 120mm Gill net Small gt 120mm Gill net Large 120mm Gill net Large gt 120mm Fraction of sea days given by regulation Must be in interval 0 1 1 Total closure of entire period closure s 031 closed in the s Fief Effort where Reference Effort Figure 2 15 4 a Maximum number of sea days and seasonal closure MPA for one country Baltistan and two areas East Baltic and Bornholm in REGIME 1 with no MPA and no closed season Combining maximum number of sea days capacity and MPA gives the effort expression after modification of stock specific effort pose e e e St y g Ar Ct max Fly Ct
26. Explanation below EXCEL Table 5 4 7 Number of vessels withdrawn due to decommission a government buy back programme This number may also be determined by the program trough the so called structural behaviour rules Figure 2 8 5 EXCEL Table 5 4 8 shows the resulting number of vessels after vessel recruitment Investment the execution of the algorithm above and after application of multipliers to number of new vessels EXCEL Table 5 4 2 EXCEL Table 5 4 9 Figure 2 8 5 shows the resulting number of decommissions Figure 2 8 6 EXCEL Table 5 4 10 summarises the resulting number of vessels in that it gives results new vessels decommissions attritions and dis investments summed over vessel age groups In the present case of only one vessel age group this table may not be so interesting The purpose is to illustrate the vessel number manipulations and to produce a table for presentation in reports 73 Table 5 4 8 OB Trawler Baltistan Small 1 DB Trawler Baltistan Medium Age 1 Trawler Baltistan Large Age 1 115 Gillnett Blaltistan Small Age 1 116 Gillnett Elaltistan Medium Age 1 Gillnett Baltistan Large Age 1 Eg KUN 122 Table 5 4 9 DB Trawler Baltistan Small 1 Trawler Baltistan Medium Age 1 OB Trawler Baltistan Large Age 1 Gillnett Baltistan Small Age 1 Gillnett Baltistan Medium Age 1 Gillnett Baltistan Large Age 1 TEMAS Manual
27. Fick St Ar gt Flax COVs max CFLCt Rg ya FL Ct gt E FI Vs Rg Ct y q Ar O FI Vs Rg Ct St y q Ar Ct 1 Fl 1 Vs 1 effort after modification of fleet specific effort be expressed as the product of the effort before modification multiplied with the reduction factors X 44 and 76 EY e e e e St y g Ar 2 gt X Pays CE Vs Re Ct y g Ar 1 Fl 1Vs 1 x We Coure CE Vs Re Ct y g Ar F Vs Rg Ct St y g Ar where the factor X F Vs Reg Ct y q Ar is defined by the management regulation combined with some harvest control rule and the upper limit for sea days the maximum possible number of sea days per period D 5 3 2 a and b SeaDays Ys FI Vs Ct q SV FL Vs Ct y g Ar 5 where EYmax is The maximum EY FI Vs 4 physical number of effort units per vessel time unit and EY FI Vs Rg Ct y q Ar is the maximum number of sea days per time period dictated by the regulation Reg and the MPA factor X V C CFI Vs Re Ct y q Ar is the fraction of time period y q which is closed for fishing Thus 0 lt xh coe FL ys Re Ct y q Ar 1 Effort cannot exceed a physical upper limit Eq A 4 4 1 E FLVs e Ct y q Ar lt NU 4 FLVs Ct y g e FLVs Ct y g 113 TEMAS Manual 18 February 2008 Tabl
28. I f Hu m il th mo an i i moqm pn m H n Es n i mu oun Pr pa Cu m pu pa n Ml vi m m nm Hu qu nao qp m quao gii m n na qui m m i 11 m m quu nmn qui uuo Un mo T nn T it nno onm an T a Hi n m ni ol Us a om Inca mu nl m qni m m n qi n jura rgo m pg HI I pr qui n quao agn LT Ti oss cgo bom ph m onm np um on quom M s aH HH mons it MOMO HH on m mp o gm on BH mom ov i i m H m I 11 n quai w gun n m a 11 na qu a n na qui u ga m yp nm qui rom mou mr om og gu pu GRE cp cro ro mr wr qm um mp qm cm H dH RESIN omom vn oq yo m wr m m m qu wn CU ua East cad SIMULATED LANDINGS BY AREA Aggregated ct Ar East cod SIMULATED LANDINGS BY T a Eus LANDINGS SUM OVER W say Aggregated Fl 5 Ch ui p can Sogn n A Ds n nn n ee IN Ae lege dee es n D un es i Y h upon ooo oar ol dp H vm wr HE EG GRE ARE cm oom cm au pu x C apo W 18 Wr Gr m BE PH Bh c vt mp M vi ai mo cho quo p YOA BH d gu a mb ok dur Hm m H a e Gu ar am WH am gum Rm qur Wu pu DH qur wg Gu C ab gi Hom vo M Og gH W dH apr HH dg gs m uu gu WE qui mos m ow sos ub pop quo o qu qun qur ur AS w qur gg m East cod SIMULATED LANDINGS SUM OVER AREAS vt PM m DEB NE SD mm E l um s i a Hh p
29. Table 5 5 1 Run messages that input effort has exceeded the capacity of fleet in text file CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY CAPACITY WO N N FP FP A BP w N N FF HA WB N N PF EF 55 5 Compare Figure 4 5 1 154037 51346 154037 51346 154037 154037 51346 154037 51346 154037 51346 154037 154037 51346 154037 51346 154037 51346 154037 167 TEMAS Manual 18 February 2008 150563 50188 150563 50188 150563 150563 50188 144772 48257 144772 48257 144772 144772 48257 130333 43470 130333 43470 130323 ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct ReducFct O O O O O O O O O O O O O O O O Oo 977444 977444 977444 977444 977444 977444 977444 939850 939850 939850 939850 939850 939850 939850 846115 846616 846115 846616 846115 EE TEMAS Manual 18 February 2008 6 CALIBRATION 6 1 INTRODUCTION The statistical estimation of parameters in TEMAS is more or less assumed to be a problem isolated from the simulations with TEMAS Somehow we assume that parameters are available from various not specified by reliable sources Needless to say this w
30. 1 1 Perd From Per 1 From From From West From From From From East From From From From Mot From From West West West Baltic West East East East Baltic East Mat Mat Mat Baltic Born Baltic Baltic Baltic Baltic Baltic Baltic Baltic ta Baltic Baltic Baltic Baltic Baltic mta ta west ta East to Mor Bornhal to ta West to East Barnhal to ta west ta East to Mor Baornhal to West Baltic Baltic Baltic Gotland Baltic Baltic Baltic Gotland Baltic Baltic Baltic Gotland Balti Age 0 Age Age 0 Age Age 1 Fer Age 1 Age 1 Age 1 Table 2 5 4 East cod MIGRATION AGE GR 2 Per 1 1 Per 1 Per 1 1 1 From 1 1 Perd 1 From 1 1 1 Ferd From 1 Fer From From From West From From From From East From From From From From From West West West Baltic West East East East Baltic East Mat Mat Mat Baltic Born Baltic Baltic Baltic Baltic Baltic Baltic Baltic to Baltic Baltic Baltic Baltic Baltic mta ta west ta East to Mor Baornhal to ta West to East Barnhal to ta West ta East to Mor Baornhal to West 114 Baltic Baltic Baltic Gotland Baltic Baltic Baltic Gotland Baltic Baltic Baltic Gotland Balti 15 2 3 17 4 3313 M 4 M 501 DIM 5502 STOCK S03 FLEET S04 EFFORT S05 ri Figure 2 5 7 c
31. 2 92 02 3 14E 02 0 008336 121E 2 0 02103 6 97E 03 1 78E 02 3 70E 03 1 47E 02 9 52 03 2 30E 02 4 44 02 2_56E 02 3 44 02 2 55E 03 3 03 3 33E 02 4 26 02 3 95 02 1 68E 02 3 72 02 5 00 02 3 68E 03 1 7 02 4 58E 03 4 05 02 8 98E 03 4 02 02 5 amp IE 03 2 2TE 02 3 73E 02 2 51E 2 2 27 02 2 02 0 02027 2000 2 2 02 02 2 84 02 5 72 03 3 32 03 1 16 02 0 03456 313E 02 4 13E 02 6 16 03 1 3 02 3 02 02 4 03E 03 4 45 02 0 027658 0 033675 4 33E 02 4 37E 02 3 02 02 1 62E 02 3 18E 03 3 r8E 02 142 02 4 35E 02 0 044218 2 25E 02 3 11E 02 2 04E 02 F1E 02 2 19 02 3 65E 02 4 61E 02 0 012738 4 63E 02 2 7 02 4 34E 02 4 03 2 2IE 03 2 12 02 3 02 1 80E 02 0 03509 3 56 02 3 28E 02 1l 28E 03 0 04656 0 035114 5 41 03 4 02 0 00306 2 8 02 4 02 2 65 02 3 36 02 2 94 02 1 80E 03 1 29 02 1 09 03 1 40 02 2000 Per 2 4 02 4 66 02 2426 02 1 62 02 3 29 02 2 5 02 4 02 3 43 02 4 54E 07 L82E 02 3 63E 02 3 02 0 02175 1 58E 02 T 69E 03 1 29E 02 2 2fE 02 3 88 02 1 71E 02 4 93E 02 2 84E 02 3 21E 03 0 02956 4 35E 03 4 02 T 1 E 07 138E 02 2 64E 02 2 09 02 4 S87TE 03 3 8 2 3 51E 0 3 0 02177 5 0
32. Clicking on write list of all tables gives you two tables One table Figure 2 17 2 is a complete list of all tables produced by the current case study Figure 2 17 3 shows a summary list of tables 124 TEMAS Manual 18 February 2008 1 a list which shows on the first tables in each group of tables A group of tables for example can be a group of stock tables or country tables MAIN MENU Evaluation Frame for fisheries manaqement systems MAIN INPUT MENU Time of last run 27 07 2007 13 57 04 File Name of last run DEMON 5 Mig3 Title of last run DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries Number of fleets CE 1 2 CEZ 2 2 Stockis 5 Areals 10 Year s dt 1 4 years Circular movement minimum 3 areas Select Table Select Write list of all tables Select Worksheet About Options Clear all sheets Create Demonstration data Backup File Read existing case study from disk El Delete File s Check input parameters Figure 2 17 1 Main menu of TEMAS input C221 223 2 2 SUMMARY LIST OF TABLE This list contains only the first table a suites of similar table Table sheet Caption Comment 1 Table 1 1 BASIC DIMENSIONS The Dimensions of a case stu 2 Table 12 DIM STOCKS Stocks here means a mans 3 Table 1
33. M last year BH New BHfold Land 0bs Land Calc Bi New O 0ld Land Obs Land Calc S O New O Old F Obs F Calc 0 F Effort by area and fleet Figure 3 6 3 Message when clicking on Tuning which is executed by another workbook TEMAS TUNING 140 TEMAS Manual 18 February 2008 Figure 3 6 4 List of tables produced by the TEMAS_CALC workbook 141 ee eee BES E m 1 List of tables produced by the calculaton module Table List TEMAS Evaluation Frame For fisheries management systems Yersion EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Ma ER Marine Fisheries Department e ORES Danish Institute of Marine Reserch i To change input parameters start the INPUT module KUN E Each table appears twice one time For each of the alternative management regimes Tab Shee A le t Start Start 13 Inde Table Number Indez Sheet Mame How Col Caption Comment g 1 Table 1 1 1 1 Summary Output 10 1 Summary of summary by Fleet First and Last year key economic indicators by Fl EH 2 Table 1 1 2 1 Summary Output 25 1 Summary of summary by country First and Last year Key economic indicators by Fh ical 3 Table 1 2 1 Summary Output 45 1 Summary of Summary by year For all fleets All years Key economic indicators for 4 Table 1 3 1 1 1 Summary Output B2 1 FIMAMNCIAL ANALYSIS OF FLEETS b
34. M01 DECLARATIONS change the line at the beginning of the module Public Const DirNm As String C TEMAS and similarly in TEMAS CALC 9 TEMAS Manual 18 February 2008 TEMAS Input module Evaluation Frame for fisheries management systems EXCEL 2003 MS Visual Basis 5 3 TEMAS 27 Mar 2007 Many an Time af last run 27 03 2007 13 14 24 File Name of last run DEMON 5 Mig3 Title of last run DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries Number of fleets CE 1 2 CEZ 2 2 Stocks 5 Area s 10 Year s dt 1 4 years Circular movement Figure 1 3 4 The opening form of TEMAS_INPUT MAIN MENU Evaluation Frame for fisheries management systems MAIN INPUT MENU Time of last run 27 03 2007 13 14 24 File Name of last run DEMON_5 Migs Title of last run DEMONSTRATION EXAMPLE 5 WITH FAKE DATA 2 Countries Number of fleets Ct 1 2 2 2 2 Stockis 5 Areals 10 Yearfs dt 1 4 vears Circular movement minimum 3 areas Select Table Select Menu 2 Select worksheet About Options m Write list of all tables p Clear all sheets Create Demonstration data E Backup File Read existing case study from disk 4 Delete File s Checkinput parameters E Figure 1 3 4 Main menu of TEMAS INPUT The Main menu button takes you to the menu shown in Figure 1 3 4 The main purpose of the main menu 15 to let you easily navigate betwee
35. Prices are given as a product of Absolute price Relative price Absolute price refers to the maximum price amongst age groups Maximum prices can either be given as input for all years or be calculated by the model PriceMax Y 1 PriceMax0 Y Landings Weight Y Y PriceFlex Y The relative values are between zero and one and defines the relative value over age of fish ages period and over periods during the year All together the price model reads Price FI Vs Ct St q a Y q PriceMax YO FI Vs Ct St Y q Landings Weight St y q PriceFlex Fl Vs Ct PriceRelbyAge FIL Vs Ct St q a Where Fleet Vs Vessel size Ct Country St Stock year q Period a age group The explanation below the EXCEL table says Maximum price over age groups Parameter PriceMaxYQ in the model of price formation Absolute price PriceMaxYQ FI Vs Ct St Y q Landings Weight Sty q PriceFlex FIL Vs Ct In the current version of TEMAS prices are given as input parameters They can either be assumed to remain constant 1 e no changes in response to changes supply or to vary as a result of changes supply 1 in landings Where variations In supply are assumed to have an effect on prices TEMAS provides a simple price formation function that however disregards changes in demand In the simple version price flexibility is only related to changes in the supply ie landings of the fishery
36. the simulation is thus defined as the product of a Reference effort En Fl y q Ar and the multipliers E FL Vs Rg Ct y q Ar Egres FLVs Rg Ct y q Ar X Fl Vs Rg Ct y q Using only multipliers less than or equal to one will guarantee that the effort never will exceed the physical upper limit of possible number of sea days 61 TEMAS Manual 18 February 2008 a E ea E Table 4 5 RESULTING EFFORT AFTER DISTRIBUTION RIGS AND AREAS Country Flee 2000 Per 2000 2000 2000 Per 2001 Ferd 2 01Per z 2001 Pern 2001 Ferd 2002 Per 206 Baltistan OB Trawler Baltistan Small west Baltic lt 110mm 87 9375 87 9375 87 9375 87 9375 57 9375 83378 87 9375 33 8 33 8 Baltistan OB Trawler Baltistan Small west Baltic gt 110mm 130625 13 0625 13 0625 13 0625 113 0825 13 0625 113 0625 120 6 120 6 Baltistan Trawler Baltistan Small East Baltic lt 110mm 137 0454 137 0454 127 0454 137 0454 137 0454 127 0454 137 0454 1461518 1461515 1 Baltistan Trawler Baltistan Small East Baltic gt 110mm 1544546 164 4546 164 4546 1644546 154 4546 164 4546 1544546 15 4152 1754182 T Baltistan OB Trawler Baltistan Small Mot Baltic lt 110mm 186 6429 156 6429 1566429 185 6423 186 5423 186 6429 1566429 133 0857 133 0857 13 Baltistan OB Trawler Baltistan Small Mot Baltic gt Ti rmm 215 3572 215 3572 215 3572 2153572 215 3572 218 3572 215 3572
37. 0 1 E West Cod Trawler Baltistan Small gt 0 1 West Trawler Baltistan Medium Tl rmm 0 1 west Cod OB Trawler Baltistan Medium 110mm 0 1 west Cod OB Trawler Baltistan Large lt 110mmi 0 1 West Cod OB Trawler Baltistan Large Ti rmm 0 1 West Cod Gillnett Ealtistan Small lt H mm 0 1 West Cod Gillnett Etaltistan Small gt 0 1 West Cod Gillnett Baltistan Medium Tl mm 0 1 west Cod Gillnett Baltistan Medium H mm 0 1 West Cod Gillnett Baltistan Large ti mm 0 1 West Cod Gillnert Ealristan Large gt 110mm 0 1 East cad Trawler Baltistan Small lt 0 1 East cod OB Trawler Baltistan Small 110mmi 0 1 East cod OB Trawler Baltistan Medium H mm 0 1 East cad Trawler Baltistan Medium gt Ti rnm 0 1 EO East cad OB Trawler Baltistan Large lt H mm 0 1 East cad Trawler Baltistan Large gt 0 1 East cod Gillnett Baltistan Small Tl rm 0 1 48 East cod Gillmett Baltistan Small gt 0 1 East cad Gillnett Baltistan Medium lt 0 1 50 East cad Gillnett Baltistan Medium gt 10mm 0 1 East cad Gillnett Baltistan Large lt 11 0 1 B2 East cod Gillnett Baltistan Large gt 110rnm 0 1 St Dev G Relative standard deviation of catchability used For stochastic simulation Biom Param Parameter
38. 15 defined by the linear model in Characteristics and Attributes R S X B 255 W 1 5 1 Attributes Thus there are two types of independent variables to model U Parameter Characteristics Dependent of choice maker Independent of choice Xi Pi Attributes Independent of choice maker W Dependent of choice ij 5 lis Note that 7 is and X i r are independent of choice j There are four trip related behaviour models in the current version of the TEMAS model Model for fishing not fishing Effort rule Model for choice of area fishing grounds Model for choice of rigging Model for discarding gt 87 TEMAS Manual 18 February 2008 Figure 2 11 1 shows the user form for sheet 508 TRIP RU and Table 2 11 1 lists the tables in sheet SO8 TRIP RU The first table Figure 2 11 2 EXCEL Table 8 1 allows for definition of rules by entry of names of rules This is possible because any rule is represented by the same basic mathematical model so it is only the number of parameters and their values that makes rules different The Table is white however so that it is not an input table This is simply because the TEMAS program is under development and the option to define rules is not yet implemented For the time being there is only the fixed options given in EXCEL table 8 1 INPUT RELATED TO TRIP BEHAVIOUR READ SHORT TERM RULES Short term rules
39. 3 229054 5 ZE 046 TS Tokal Value 17235841 20 61915 z d nis 3424122 O 37 72641 2290995 22 42475 Moan Value exercice 00286 611276 14629 13 Bred oe 1 3 5 26113 76 15434 03 Hean Value f k4 bee 26115 49 Tete Te Escena BO be 26115 49 z1 Number of Grow 195 JET hu d z Humber of Grew 195 EST 5 doe 360 z amp dumber of bnatr d n5 65 TS sc 45 Ti d Humber nf bnatr de n5 GE T BE 95 d wt Table 1 1 2 Table 1 1 2 Summary of summary by country Regime 1 Summary of summary by country Regime 2 Pair Deterministic First and Last ACFM Advice Pair Deterministic First and Last year Advice Scandina Ealkirkan Ealkirkan Scandina Ealkirkan Ealtirkan Ezandina via z n eons ia via 2009 eon eons fo 2004 Garh Flou FINAAGIALAMALYSIS 1253512 40851 45534 9 CarhFlou ANALYSIS OFFL 5972 2 118123 24509 56 iezzdz z amp zarhFlau FIHAHCIAL ANALY 21 37 3416363937 4 dosed HF sark Flou FIHAHCIAL ANALYSIS 927452 z zTdsz d z amp 5z CarhFlou GOVERNMENT BUDGET 3236074 56991 24 4 45342 521974 6 Garh Flou GOVERMMEMHTEBUDGETANA 525626 55044 73 dd 377 d 9015 7 HF 5279133 5279129 3 294317 HF
40. 40 Rule 2 41 Rule 2 42 Rule 2 Fule 2 44 Rule 1 4h Rule 1 46 Rule 1 47 Rule 2 48 Rule 2 43 Rule 2 5D Rule 2 51 Rule 2 Fule 2 53 Rule 2 54 Rule 1 55 Rule f Rule 1 hr Hule 2 58 Rule 2 53 Rule 2 amp D Fule 2 1 Fule 2 62 Rule 2 65 Rule 2 54 Rule 1 amp 5 Rule 1 Rule 1 Br Rule 2 68 Rule 2 63 Rule 2 Rule 2 Ti Rule 2 r2 Rule 2 73 Rule 2 Fule 1 TA Rule I TE Rule 1 Rule 2 TS Rule 2 Rule 2 80 Rule 2 81 Rule 2 Rule 2 Fue 2 PER Charact Attrib 1 Charact Charact Charact Charact Charact Charact Charact Attrib 1 Charact Charact Charact Charact Charact Attrib 1 Charact Charact Attrib 1 Charact Charact Charact Charact Charact Attrib 1 Charact Charact Attrib 1 Charact Charact Charact Charact Charact Attrib 1 Charact Charact Attrib 1 Charact Charact Charact Charact Charact Attrib 1 Charact Charact Attrib 1 Charact Charact Charact Charact Charact Attrib 1 Attrib 1 Attrib 2 Attrib 2 Attrib 2 Attrib z Attrib 2 Table 8 2 Charact 1 Tradition Baltistan OB Trawler Baltistan Small Go Fishing 1 Tradition Balt
41. 44 will sum to 1 0 59 EM TEMAS Manual 18 February 2008 NN UE Table 4 3 RESULTING EFFORT AFTER DISTRIBUTION ON AREAS Country Fleet V St 2000 2000 2000 2000 2001 2001 2001 2001 2002 Per 1 2 Fer 4 1 2 4 Fer OB Trawler Baltistan Small west Baltic 201 z el 201 el 201 z 214 4 214 4 OB Trawler Baltistan Small East Baltic 301 5 301 5 301 5 301 5 301 5 301 5 301 5 321 6 321 6 OB Trawler Baltistan Small Mot Baltic 402 402 402 402 402 402 402 428 8 425 8 OB Trawler Baltistan Small Bornholm 502 5 502 5 502 5 502 5 502 5 502 5 502 5 535 E OB Trawler Baltistan Small Gotland 603 603 603 603 603 603 603 643 2 Trawler Baltistan Medium west Baltic ar ar ar ar ar ar ar ar OB Trawler Baltistan Medium East Baltic 130 65 130 65 130 65 130 65 130 65 130 65 130 65 130 55 Trawler Baltistan Medium Mot Baltic 174 2 174 2 174 2 174 2 174 2 174 2 174 2 174 2 Trawler Baltistan Medium Bornholm 217 75 217 75 217 75 217 75 217 75 217 75 217 75 217 75 DE Trawler Baltistan Medium Gotland 261 3 261 3 261 3 261 3 2613 261 3 261 3 261 5 Trawler Baltistan Large west Baltic 20 1 20 1 20 1 20 1 20 1 20 1 20 1 13 4 OB Trawler Baltistan Large East Baltic 30 15 30 15 30 15 30 15 30 15 30 15 30 15 201 OB Trawler Baltistan Large Mot Baltic 40 2 40 2 40 2 40 2 40 2 40 2 40 2 26 9 Trawler Baltistan
42. Baltic west lt 110mm Balic East Bornbalg Gotland E Wa TES Timm gt H mm Balti Creation oF templets concluded gt 110mm Bali gt H mm H mm Gotland gt Timm Mot Balt Other Baltic wes Other Balic East Other Bornholm Other Gotland Other Mot Baltic You may now start to Fill in the yellow cells Figure 2 4 17 End of Starting up a new case study with TEMAS 30 TEMAS Manual 18 February 2008 Microsoft Excel TEMAS IMPUT BALTIC 29Mar 7 xls j o e A c e c AJ ITI 7 j RUN INFORMATION Date of this run 25 03 2007 20 22 of Run Param Created 25 03 2007 20 20 File Name BaticCod Table 2 1 1 GROWTH AND MATURITY PARAMETERS Loo r zero Cond Exp Platurity L50 Platurity L75 Western Cod W Eastern Cod Sprat Flaice 17 Other species Table 2 1 2 CONDITION FACTOR Fer 1 2 21 Western Cod 22 Eastern Cod Sprat 24 Other species Table 2 2 1 RECRUITMENT PARAMETERS BH2 1 5 Biom 2 5 Const Rec 2 H Ricker 3 i 0 5 1 4 5 1211 29 western Cod 30 Eastern Cod Sprat 32 Flaice Other species 34 Table 2 2 2 RECRUITMENT DISTRIBUTION ON PERIODS Fer 1 2 3 Fer 4 38 Sprat 40 Plaice O
43. Furthermore all input parameters will have to be re entered With a copy of the original input sheets this may be done quickly if only few dimensions are changed Table 1 5 1 1 Denmark FLEETS Table 1 5 1 2 Denmark FLEET DIMENSIONS Table 1 5 1 3 Denmark Age groups Yessel sizes Riggings Wes siz 1 Gilln Gilln Trawl ENTRY OF DIMENSIONS CONCLUDED Other 2 2 1 any F 5 2 3 any 0 Table 1 5 2 1 Germany Table 1 5 2 3 riera Age groups B V ez siz 1 PLEASE WAIT WHILE THE SYSTEM CREATES TABLE TEMPLETS ill Trawl Other Table 1 5 3 1 Latvia FLE Table 1 5 3 3 Latvia OF Age groups Vessel sizes Riggings Wes siz 1 Figure 2 4 16 End of entry of data for Starting up a new case study with TEMAS Eventually Figure 2 4 17 shows the last message from TEMAS concerning start of new case study The tables created at this point will have all field filled in with No Value as indicated in Figure 2 4 17 Table 2 4 18 shows the table templates for entry of biological stock parameters Whenever you try to start a simulation TEMAS will check that all cells with No Value has been changed to contain a numerical value If that is not the case TEMAS will refuse to carry out the simulations n E OBSERVED LANDINGS USED FOR TUNING LL Table 11 1 1 Denmark Western Cod OBSERVED LAH 1995 Per 1 1995 Per 2 1995 Per 3 133 lt
44. Large gt 110mm 1 0 5 0 6 0 85 1 0 5 0 6 0 35 Relative distribution of Catch ability on periods Catchability Fleet Size Rig Ctry Species Year Period Area Absolute Catchability Fleet Aig Species amp rea Relative Catchability Fleet Species Area Year Period where lt Relative Catchability lt 1 relative to variations within years and period Relative catchabilities over years and periods are normalized so that the maximum value is one 238 239 Table 3 2 5 2 Baltistan East Baltic RELATIVE PERIOD CATCHABILITY max value 1 Species e n Per 2000 2 2000 2 2000 Per 4 2001Per 200 Perz 2007Pern3 2 1Per4 20 241 west Cod Trawler Baltistan Small lt 110mm 1 0 9 0 6 0 85 1 0 3 0 6 0 35 West Cod Trawler Baltistan Small gt 1 0 5 0 6 0 8h 1 9 0 35 243 west Cod OB Trawler Baltistan Medium Timm 1 0 9 0 6 0 85 1 0 9 0 6 0 25 244 west Cod OB Trawler Baltiztan Medium gt 1 0 5 0 6 0 85 1 0 5 0 6 0 35 245 west Cod Trawler Baltistan Large H mm 1 0 9 0 6 0 85 1 0 9 0 6 0 25 246 west Cod OB Trawler Baltistan Large 1 0 3 0 6 0 85 1 0 3 0 6 0 25 247 west Cod Gillnett Baltistan Small Tl rm 1 0 3 0 6 0 85 1 0 9 0 6 0 35 246 west Cod Gillnett Baltistan Small 170mm 1 0 3 0 6 0 85 1 0 5 0 6 0 25 249 west Cod Gillnett Baltistan Medium lt Timm 1 0 3 0 6 0 85 1 0 9 0 6 0 25 250
45. Large Bornholm 50 25 2h 50 25 50 25 50 25 33 5 OB Trawler Baltistan Large Gotland 60 3 60 3 60 3 60 3 60 3 60 3 60 3 40 2 Gillnett Baltistan Small west Baltic 268 268 269 268 268 268 268 281 4 Gillnett Baltistan Small East Baltic 402 402 402 402 402 402 402 4221 Gillnett Baltistan Small Mat Baltic 535 535 536 535 53b 535 535 552 8 Gillnett Baltistan Small Bornholm ri Bro Eri 703 5 Gillnett Baltistan Small Gotland 804 0001 804 0001 804 0001 804 0001 804 0001 804 0001 804 0001 844 2 125 Gillnett Baltistan Medium west Baltic 134 134 134 134 134 134 134 134 M 4 503 FLEET Z ark 504 EFFORT SDS_BOATS 506 lt Figure 2 7 4 Resulting effort after distribution on areas These data are derived from EXCEL Table 4 1 and 4 2 by multiplications Figure 2 7 2 and Figure 2 7 3 QUIS 0 29 rn y 168 Table 4 4 EFFORT DISTRIBUTION ON RIGS AFTER DISTRIBUTION ON AREAS Country Fleet M 2000 2000 2000 2000 2001 2001 eun 2001 2002 2002 1 2 4 1 2 Fer 3 Fer 4 Fer 1 2 170 Baltistan OB Trawler Baltistan Small west Baltic lt 110 171 Baltistan CIE Trawler Baltistan Small west Baltic gt 10mm 172 Baltistan Trawler Baltistan Small East Baltic lt 13 Baltistan OB Trawler Baltistan Small East Baltic gt 110mm 1 4 Baltistan Traw
46. OB Trawler Baltistan Large Gotland E Baltistan Gillnett Baltistan Small west Baltic Baltistan Gillmett Baltistan Small East Baltic Baltistan Gillnett Baltistan Small Mot Baltic Baltistan Gillnett Baltistan Small Bornholm E Baltistan Gillnett Baltistan Small Gotland E an 3illnarr Ealrigzran Padum wast E altin M M Ark1 502 STOCK SU3 FLEET Ark SU4 EFFORT 505 Tm Figure 2 7 3 a Effort distribution on areas Compare Figure 2 7 3 b which highlight the table structure The explanation below the table says Distribution of effort on areas for each combination of Country Fleet V Size For given Country Fleet V Size they sum up to 1 Over areas 57 TEMAS Manual 18 February 2008 The input effort in the present version of TEMAS is E Fl Vs Ct q e that is the total effort summed over areas together with the relative distribution of effort over areas E FI Vs e Ct y g FI Vs e Ct y q Ar memi 4 E FI Vs e Ct y q e The effort distribution can be given as input each period each year in the case where the behaviour rules are not applied Thus effort is derived from the product of the two input parameters E Fl Vs Ct y qo and Earea pist Fl Vs y q Ar Which in turn gives the effort distribution on fleets vessels sizes and countries E Fl Vs e Ct y q Ar E FI Vs e
47. amp Fi p i Table 4 2 EFFORT DISTRIBUTION ON AREAS for all Country Fleet V Size 2000 Perl 2000 Perz 2000 2000 Fer 4 2001 1 2001 2 OB Trawler Baltistan Small west Baltic 20 i OB Trawler Baltistan Small East Baltic 30 READ EFFORT DE Trawler Baltistan Small Baltic 40 OB Trawler Baltistan Small Bornholm 50 Trawler Baltistan Small Gotland 60 EFFOR Tr OB Trawler Baltistan Medium West Baltic 0 1 Trawler Baltistan Medium East Baltic ne behavieur rules Trawler Baltistan Baltic 02 DE Trawler Baltistan Medium Bornholm 5 EXCEL 2003 M5 Visual Basis 6 3 OB Trawler Baltistan Medium Gotland 0 3 OB Trawler Baltistan Large West Baltic 0 1 Options for Preprocessing of data OB Trawler Baltistan Large East Baltic i Trawler Baltistan Large Baltic 0 2 Baltistan Trawler Baltistan Large Bornholm 54 Baltistan Trawler Baltistan Large Gotland 3 i Gillnett Baltistan Small west Baltic 01 Gillnett Baltistan Small East Baltic i Gillnett Baltistan Small Baltic 0 2 K Baltistan Gillnett Baltistan Small Bornholm M 4 S02 STOCK SU3 FLEET f Ark 1804 EFFORT Figure 2 7 3 Effort distribution on areas Example to illustrate the normalization of input After clicking on Read effort from sheet cells 40
48. and NUVvessei Fl Vs Ct y q Va 0 Step 4 Recruitment NUvesse Fl Vs Ct y q 0 NUNew vessel FI Vs Ct y q Multiplier 72 EM TEMAS Manual 18 February 2008 Table 5 4 5 Baltistan NUMBER DIS INVESTMENT WITHDRAWAL VESSELS 2000 1 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 2003 2004 2004 Initial 2 3 1 2 Fer 3 Fer A Perl 2 Fer 3 Peri Fer z Per 4 Fer Ferz OB Trawler Baltistan Small amp ge 1 80 OB Trawler Baltistan Medium Age 1 Trawler Baltistan Large Age 1 Gillnett Baltistan Small Age 1 Gillnett Baltistan Medium Age 1 Gillnett Baltistan Large Age 1 E Number of vessels withdrawn due to low cashflow by period year and vessel age group This number of vessels may alza be determined by the program trhough the so called s Table 5 4 6 Baltistan NUMBER OF ATTRITION VESSELS Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 2003 2004 2004 200 number 2 Pens Pend Perd Ferg Pens Pernt Perd Pere Pens Pent Perl Per2 Pernt Ferl Pere Per OB Trawler Baltistan Small Age 1 Trawler Ealtistan Medium Age 1 OB Trawler Baltistan Large Age 1 Gillnett Baltistan Small Age 1 Gillnett Baltistan Medium Age 1 95 Gillnett Baltistan Large Age 1 96 Number of vessels withdrawn due to old age
49. gt 110mm Medium Bornholm lt 110mm Medium Bornholm gt 110mm Medium Gotland lt 110mm Medium Gotland gt 110mm West Baltic lt 110mm West Baltic gt 1Umm East Baltic lt 110mm East Baltic gt 110mm Not Baltic lt 110mm Not Baltic gt 110mm Bornholm lt 110mm Bornholm gt 110mm Gotland lt 110mm Gotland gt 110mm Gillnett Baltistan Gillnett Baltistan Small West Baltic lt 110mm Small West Baltic gt 110mm Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnctt Baltiztan Small East Baltic Small East Baltic Small Not Baltic Small Not Baltic lt 110mm gt lt 110mm gt TEMAS Manual 18 February 2008 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm Trawler 110 mm 110 mm 110 mm 110 mm 110 mm 110 mm gt nu mm 110 mm 110 mm Baltistan 110 mm Baltistan Gillnett Baltistan Small Bornholm lt 110mm Baltistan Bornholm gt 110 mm Gillnett Baltistan Small Bornholm gt 110mm Baltistan Gillnett Baltiztan Small Gotland lt 110mm lt 110 mm Gotland gt 110 mm Baltistan Gillnett Baltistan Small Gotland gt 110mm lt 110 mm B
50. l y Q Max CF rum eas ce 4 E 2 2 FL Vs Ct u q E Fac y e u y dyggy 4 1 4 1 FNCF F1 Vs Ct y g and the net cash flow summed over areas is defined 4 1 y FL Ct y g REV FL Vs Ct VCO FL Vs Ct qo COR FI Vs Ct y q where REV is the revenue from landings VCO is the total variable costs and CO is the total fixed costs The number of vessels is usually limited The usual condition for introduction of a new vessel is that a vessel of similar size 15 removed from fishery These conditions are often linked to capacity rather than the number of vessels so that for example one big vessel can be replacement three small vessel if the total fishing capacity of the small vessels equals that of the new big vessel Let TON FI Vs Ct be the tonnage of an average vessel in vessel size Vs in Fleet Fl country Ct If the entry of new vessels is conditions of removal of old vessels with the same tonnage this would lead to lead to the country specific constraint 94 TEMAS Manual 18 February 2008 Ct VS mar NU Fl VS Ct y q e TON FI Vs Ct lt Fl 1 Vs 1 Fly Ct NU Ct y qe TON FI Vs Ct Fl 1 Vs 1 Fla Ct FL Ct NU FL Vs Ct y q e TON FI Vs Ct Fl 1 Vs l Fla Ct gt NU B Fl Vs Ct y q e TON Fl Vs Ct
51. nu HHB omm ous b ko TH H E Pam E ee 2 E w wt Hu Hq BU Hu w nh Wi nh omm pu om gh o He ds SH HH ps H East cad SIMULATED LANDINGS d EN OVER bliss ROUTE Cota stock 176 TEMAS Manual 18 February 2008 TUNING OF MODEL N first year N last year BH New BH old Land Obs Land Calc O New Q DIld Land Obs Land Calc O New O 0ld F Obs F Calc Q F Effort by area and fleet Compute Tuning mm 7 Figure 5 6 1 The tuning menu TUNING OF MODEL Give number of Tuning simulations 2 BHiNew Obs Landi calc Dems S lection All species All Fleets li N first year N last year This tuning is used to make the reference simulation an equilibrium situation After the completion of a simulation it assigns the calculated stock numbers of the last year to the initial stock numbers first years N Stock First year age period area N Stock Last year age period area BH New BH old Land Obs Land Calc This tuning changes the first stock recruitment parameter BH1 so that Total Observed Landings Stock First year Total Calculated Landings Stock First year Recall that 1 SSB 1 Rec year Period Area RecDist 1 BH2 SSB year 1 year where SSB Spawning Stock Biomass and Recruitment R
52. west Cod Gillnett Baltistan Medium gt 110mm 1 0 3 0 6 0 85 1 0 5 0 6 0 35 251 west Cod Gillnett Baltistan Large Tl rmm 1 0 3 0 6 0 85 1 0 3 0 6 0 25 252 west Cod Gillnett Baltistan Large gt Timm 1 0 3 0 6 0 85 1 0 5 0 6 0 35 253 East cod Trawler Baltistan Small lt 110mm 1 0 3 0 6 0 85 1 0 9 0 6 0 25 254 East cad OB Trawler Baltistan Small gt 110 1 0 3 0 6 0 85 1 0 3 0 6 0 35 ehh East cod OB Trawler Baltistan Medium lt 110mm 1 0 5 0 6 0 85 1 0 9 0 6 0 35 256 East cod OB Trawler Baltistan Medium gt 1 0 3 0 6 0 85 1 0 9 0 6 0 25 257 East cod Trawler Baltistan Large lt 1 0 9 0 6 0 85 1 0 6 0 35 258 East cod OB Trawler Baltistan Large gt 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 35 259 East cod Gillnett Baltistan Small lt 1 0 5 0 6 0 85 1 0 9 0 6 0 35 260 East cod Gillnett Baltistan Small 110mm 1 0 3 0 6 0 85 1 0 9 0 6 0 88 eb East cad Gillnett Ealristan Medium lt 110mm 1 0 5 0 6 0 85 1 0 9 0 6 0 35 262 East cad Gillnett Baltistan gt 110mm 1 0 3 0 6 0 85 1 0 9 0 6 0 35 263 East cod Gillmett Baltistan Large lt 1 0 5 0 6 0 85 1 0 9 0 6 0 35 264 East cod Gillnett Baltistan Large gt 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 35 Relative distribution of Catch ability on periods Catchability Fleet W Size Rig Ctry Species Year Period rea Aba M gt M
53. 0002 0002 0002 0 002 0002 0002 0002 10 002 0002 0002 10 002 10 002 6 7 0464 0227 0225 0222 0220 0214 0214 0212 10 206 0206 0204 0198 0 198 8 7 0464 0227 0225 0222 0 220 0214 0214 0212 10 207 0207 0205 10 199 0 199 9 10 464 0227 0225 0222 0220 0214 0214 0212 0207 0207 10 205 0 99 0199 Table 3 3 1 Example of stock structured annual output from worksheet Stock Output 151 113 TEMAS Manual 18 February 2008 Table 3 3 2 shows an example of finer details namely results by time period here by quarters In this case the output tables has been transferred from EXCEL into 5 WORD and has been subject to various editing In the present case the table is very close to the table as it appears in the worksheet Stock Output but the idea is that the user should define the final design of output The results shown in Table 3 3 1and 3 3 2 represents only one species accumulated over all fleets Catch number and fishing mortality Table 3 3 1 could be given for each fleet as well In case there are several areas there will also be a Table for each combination of Fleet Stock and Area With several fleets and stocks and areas the output from TEMAS will be overwhelming In many cases only a few selected if any tables like Tables 3 3 1 2 or more detailed tables will be used in the report of the fisheries assessment made by TEMAS Age Year 2000 2002 2003 2005 2006 2008 2009 T
54. 132 133 134 137 200 201 202 203 204 East cod 4 k M 501 DIM Arki 502 STOCK 5503 FLEET S04 EFFORT lt East cod East cod East cod East cod OB Trawler Baltistan Small lt H mm OB Trawler Baltistan Small gt 110 OB Trawler Baltistan Medium lt 0mm Trawler Baltistan Medium 5 10mm OB Trawler Ealristan Large lt 1710mm OB Trawler Baltistan Large gt Tl imm Gillnett Baltistan Small ti rnm Gillnett Baltistan Small Timm Gillnett Baltistan Medium Tl rmm Gillnett Baltistan Medium gt mmi Gillnett Braltistan Large Timm Gillnett Baltistan Large gt TOmm OB Trawler Baltistan Trawler Baltistan OB Trawler BEaltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Gillnett Baltistan Gillmett Braltistan Gillrett Braltiztan Gillnett Baltistan Gillrett Braltiztan Gillnett Baltistan Small lt 110mm Small gt Medium lt 110mm Medium gt Large 110mm Large gt 110mm Small lt 110mm Small 110mm Medium lt Medium gt 110mm Large lt 110mm Large 110mm TEMAS Manual 18 February 2008 EN Table 3 2 4 Baltistan DISCARDS 150 Species Fleet V Size Rig 2000 Peri 2000 2 2000 Per3 2000Per4 2000Per1 2001
55. 5D1_DIM Z Arki 502 STOCK 5503 FLEET SD4_EFFORT Z SI lt T Figure 2 6 6 Relative Period catchability coefficients The explanation below the table says Relative distribution of Catchability on periods Catchability Fleet V Size Rig Ctry Species Year Period Area Absolute Catchability Fleet Rig Species Area Relative Catchability Fleet Rig Species Area Year Period where 0 lt Relative Catchability lt I relative to variations within years and period Relative catchabilities over years and periods are normalized so that the maximum value is one The parameters of the gear selction ogive SEL FI Vs Rg Ct St y a q are in EXCEL Tables 3 2 1 3 Baltistan and EXCEL Tables 3 2 7 9 Scandinavia Figure 2 6 4 The logistic curve is used to model the selection of fishing gears 53 EE TEMAS Manual 18 February 2008 SEL FI Vs Rg Ct St y a q 1 exp Sell Fl Vs Rg Ct St y Sel2 FI Vs Rg Ct St y Lgt St y a q where parameters of the logistic ogive are defined Sell FI Vs Rg Ct St y In 3 LGTso Fl Vs Rg Ct St y LGT75 LGTso mat Sel2 FI Vs Rg Ct St y In 3 LGTzs Fl Vs Rg Ct St y LGTso and LGTsox Fl Vs Rg Ct St MS FI Vs Rg Ct y SF FI Vs Rg Ct St y LGTs Fl Vs Rg Ct St LGTsox Fl Vs Rg Ct St SR FI Vs Rg Ct St y 2 MS FI Vs Rg Ct y Mesh size of fleet Fl in year
56. 9544 9217 7727 6774 6537 5605 6296 5467 22805 23367 21618 18651 15514 13114 11762 10932 10184 9373 9044 8902 8287 Mean 28532 28275 25873 22356 19181 16938 15329 14358 13389 12726 12049 11750 11233 Mean SD 34258 33182 30128 26061 22847 20763 18897 17784 16594 16080 15054 14599 14 9 159 TEMAS Manual 18 February 2008 Table 3 5 2 Complete list of the results from multiple stochastic simulations in the case where there are two stocks and two fleets the time series however are only shown for the two first key results and the last one EE TEMAS Manual 18 February 2008 Frequency in 100 simulations of Net Prevent Values Trawler GilNet Financial Financial Economic Financial i i i Harvest Govt Tr Net Pre Harvest Govt Tr N P Val N P Val sent Val N P Val N P Val Cash Fl Cash Fl Cash Fl Cash Fl Cash FI Std dev 1333 9 22746 3387 4 1185 8 77 7 1483 0 1397 5 21052 6 6 204917 8891 3007 5 Rel Std dev 889 34 438 247 69 229 he simulated range is divided into 25 intervals and frequencies refer to these intervals Trawler GilNet Financial Financial Financial Financial Economic Harvest Govt Tr Net Pre Harvest Govt Tr Net Pre N P Val N P Val sent Val N P Val N P Val sent Val Cash Fl Cash Fl Cash Fl 1
57. Bli West Cod Bp ITIONAR Y APPR 2000 Per 4 200 Goto Main feng 5 lf West Cod Ex 48 west Cod Read fram disk 19 West Cod M East cod Fpa 21 East cod Fil 22 East cod Eli East cod 24 East cod Exceed 4 k M 514 TEMAS 3515 Read HER from sheet H 4 a Figure 2 16 1 User form for entry of parameters for harvest control rules Index EXCEL Table Caption 190 15 1 HARVEST CONTROL RULES OF PRECAUTIONARY APPROACH 191 Tablel5 2 1 1 RELATIVE STABILITY HARVEST CONTROL RULES West Cod West Baltic 192 Tablel15 2 1 2 RELATIVE STABILITY HARVEST CONTROL RULES West Cod East Baltic 193 Tablel15 2 1 3 RELATIVE STABILITY HARVEST CONTROL RULES West Cod Not Baltic 194 Tablel5 2 1 4 RELATIVE STABILITY HARVEST CONTROL RULES West Cod Bornholm 195 Tablel5 2 1 5 RELATIVESTABILITY HARVEST CONTROL RULES West Cod Gotland 196 15 2 2 1 RELATIVE STABILITY HARVEST CONTROL RULES East cod West Baltic 197 15 2 2 2 RELATIVE STABILITY HARVEST CONTROL RULES East cod East Baltic 198 15 2 2 3 RELATIVE STABILITY HARVEST CONTROL RULES East cod Not Baltic 199 Table15 2 2 4 RELATIVE STABILITY HARVEST CONTROL RULES East cod Bornholm 200 Tablel5 2 2 5 RELATIVE STABILITY HARVEST CONTROL RULES East cod Gotland 201 Tablel5 3 1 5 RELATIVE STABILITY HARVEST CONTROL RULES summed over areas West Cod 202
58. Ct y g for one combination of country and area in this example Per quarter of the year Area specific effort can be reduced in three major different ways 1 Reduction of overall capacity reduce upper limit of total sea days for all areas 2 Area specific reduction of maximum number of sea days 3 seasonal closure of selected areas We shall combine the three effort reduction methods in one combined model 112 TEMAS Manual 18 February 2008 Recall the definitions of the concepts F St Ar E FI Vs Rg Ct St y q Ar and EY FL Vs Rg Ct y g Ar given in Section 5 1 For each stock can then set the efforts of fleets to match each stock specific F Eq D 5 1 1 Before _ St y Ar CFT Ct Fl Vs St Ar Q FI Vs Rg Ct St Ar 1 Vs 1 Rg 1 The relative distribution of efforts on Fl Vs Rg Ct is assume to be given for example by the relative stability and a common factor is applied to all Fl Vs Ct to achieve it The suffix Before refers to Before the modifications of efforts to match the set of HCRs for all stocks combined The EP has St index so this artificial effort concept is stock specific after modification effort concept has no St index and the equal sign is replaced by an smaller than sign
59. DB Trawler Trawler DE Trawler OB Trawler OB Trawler Gillnett Gillnett Gillnett Gillnett Gillnett related Rule Choose Fishing Baltistan west Baltistan East Baltistan Baltistan Baltistan Baltistan west Baltistan East Baltistan Mot Baltistan Baltistan 2 grounds Baltic Baltic Baltic Bornholm Gotland Baltic Baltic Baltic BEornholm Gotland Scandinavia Scandinavia OB Trawler OB Trawler Gillnett Gillnett Trip related Go Fishing Scandinavia Scandinavia Seandinawia Scandinavia Rule Ma 1 Hot Go Fishing Go fishing Stay in port Go Fishing Stay in port Scandinavia Scandinavia DB Trawler OB Trawler DEB Trawler OB Trawler OB Trawler Gillnett Gillnett Gillnett Gillnett Gillnett Trip related Choose Fishing Scandinavia Scandinavia Scandinavia Scandinavia Scandinavia Scandinavia Scandinavia Scandinavia Scandinavia Scandinavia en Rule Ma 2 grounds West Baltic East Baltic Baltic Bornkolm Gotland West Baltic East Baltic Mot Baltic Bornholm Gotland M 4 M 506 PRICES 507 ECONOMY WS08 TRIP RU 509 STRUC RU 2510 Tule gt Figure 2 11 2 Names of rules and choices in short term behaviour model Furthermore the present version of TEMAS does not Implement the Ad Hoc rules as Introduced in Annex C of the TEMAS report The reason for this is that the philosophy behind the RUM essentially is the same as the Ad Hoc m
60. Eharazk 1 Tradition E alkirtan Eharazk 17 Iradikinn 7 HULE 2 Gharack 1 Tradition E alkirtan 17 Ira4dikinn 7 E aleurear 7 fiEErIB 17 V alus Landing PARTIC TIP H 7 OE Ir RULE 1 17 Iradikinn 7 Ghearack 1 Tradition E alkirtan RULE 2 Ghearack 1 Tradition E alkirtan 17 Iradikinn 7 E alki rkan 17 Value Landin gr 7 HEFFIE PPA ESIELE3P RULE 1 Charazk 17 Iradikinn 7 GILL NETTERS Ghearack 1 Tradition E alkirtan RULE 2 Ghearack 1 Tradition E alkirtan CEharazk 17 Iradikinn 7 E alkirean 17 Value Landin gr 7 CIE RULE 1 Charack 1 Tradition Ealtirtan kharas 17 Iradikinn 7 Ealeurk an 2 Charack 1 Tradition Ealtirtan kharas 17 Iradikinn 7 mkkrib 17 alus Landing 7 HEIC PIP een Figure2 11 3 a The RUM table structure for trip behaviour of one country 90 TEMAS Manual 18 February 2008 TRIP BEHAVIOUR COEFFICIENTS OF R U M 24 Rule 1 ule 1 26 Rule 1 er Rule 2 28 Rule 2 24 Rule 2 Fule 2 31 Rule 2 32 Rule 2 33 Rule 2 1 35 Rule 1 3b Fuale 1 37 Rule 2 38 Rule 2 39 Rule 2
61. Fl 1 Vs 1 If furthermore decommisioned vessels cannot be replaced the term Fly Ct Vs NU FI Vs Ct y g e TON FI Vs Ct should be removed from the inequality Decomm Fl 1 Vs 1 above The vessel tonnage is just one example of a fleet characteristics Other examples of fleet characteristics are Length of vessel and KgW of engine The maximum regulations are thought of as an upper limit MAL Maximum allowed level of the characteristics summed over vessels TEMAS allows for limitations of total characteristics of three levels Country Fleet and Vessel Size Level 1 Country level Fly Ct VS ua xil Level 1 NU Fl Vs Ct y q e TON FL Vs Ct lt MAL Vs 1 Level 2 Fleet level Ka SEN E NU 1 y q e TON FL Vs Ct lt MAL FI Ct y Vs 1 Level 3 Vessel size level Level 3 NU FL Vs Ct y e TON FI Vs Ct lt MAL Ct To indicate a maximum regulation defined by a fleet characteristics is thus required a specification of the characteristics tonnage vessel length K Wat etc and the level at which the MAL shall be applied As illustrated by the example above on investment replace above the characteristics may be used for other types of regulations than maximum regulations X pis invest 2 F1 Vs Ct y q X mes 2 FLVS Ct y q Max Capacity Actual capacity is not FI Vs specific it depends only on the country in the p
62. GOVERMMENT EIB GET d327590 d927590 BSTESSS 3 Garh Flou ECONOMIC ANALYSIS 207540 2 64716 75 ded 7T2 3 541317 1 Garh Flou ANALYSIS z TZ amp 5 d 41543 35 4 4114 1 49342 3 HF zarh Flou ANALY 5214444 5zidddd 215295 015295 HF ANALYSIS di amp aTTa di sTTu 6225177 TotalLandingr 5 zEBTz zz dTz1z 50 349757 Tntal Lan ir gr 15 2 572 BEES 22 47213 9 02 Total Value 3277192 4226215 5dyz2dz 3 amp Td T ug Total Value STTEL9 7T 41 1424 54Tzzz 3 60 EGGY Mean Value tka zdr z id 1643 26 zdzb5zdz o 13347 15 Mean Values Eq 4710 9 BENS zdzbz ib EEzz d Humber of Grou dz Sed ET TEE Humber aF Grou 450 Gk d ETE TEE Humber aF 111 T 15 175 Humber aF 111 137 153 174 Em dz Table 1 2 Table 1 2 Regime 1 Summary of Summary by year for all fleets Regime 2 No Summary of Summary by year for all Advice Pair Deterministic All years Advice fleets Pair Deterministic All years d 2000 2001 z z 2005 z nd 2005 enor zn z z 1 eons 2005 2004 2005 ent 47 Garh Flow FIHSHGISLAHALYSIS 451726 459175 1545995 3142345 free Ts d 113957 3 dE 5 Carh Flou FINANCIAL ANALYSIS OFFL 4F51231 7 459175 1542995 2142245 zdd99z zTEzT5 d FZ2d60 d 269234 2 sark Flou ANALY 3165217
63. Gilln Trawl Other 40 Table 1 5 4 1 Poland FLEETS Table 1 5 1 2 Poland FLEET DIMENSIONS Age groups Humber of Vessel sizes lumber of Riggings DIMENSIONS NEW CASE STUDY STEP 5 45 Table 1 5 5 1 Sweden A Please enter fleet dimensions number of vessel size classes and riggings Age qraups on 52 Table 1 5 6 1 Other FLEETS Table 1 5 6 2 Other FLEET DIMENSIONS Age qraupz Number af Vezzel sizes Number of Riggings M M S01 DIM Old Stock 502 STOCK 502 STOCK 4503 Figure 2 4 12 Starting up a new case study with TEMAS Step 5 Again note that there is an other group in each country and that there is an other vessel group accounting for other countries The groups should always be chosen so that the other groups are relatively small as it will usually be difficult to get parameters for other groups Therefore it is desirably that other groups are small so that the approximations they usually represent will not influence too much on the overall simulation results Figure 2 4 13 shows that the same dimensions are chosen for all countries but other options are available It is however desirable to homogenize the fleets and their particulars across countries as far as possible for the purpose of presenting and surveying simulation results TEMAS Manual 18 February 2008 Table 1 5 1 2 Denmark FLEET DIMENSIONS Number of Vessel sizes Number of Riggings
64. SF Fl Vs Rg Ct St Selection factor and SR FI Vs Rg Ct St Selection range LGT75 LGT 250 PREPROCESSING OF FLEET INPUT Mee Figure 2 6 7 Options for pre processing of fleet parameters The menu for pre processing of fleet data is shown in Figure 2 6 7 There are five options for pre processing 1 Make parameters equal for all years This option will take the value for first year and apply it to all other years for all y dependent parameters MS FI Vs Rg Ct y MS Fl Vs Ct yn SF Fl Vs Rg Ct St y SF Fl Vs Rg Ct St yn SR FI Vs Rg Ct St SR FI Vs Rg Ct St yn CFL Vs Rg Ct St y q Ar QU FLVs Rg Ct St y 1459 Ar Ora Fl Vs 51 y Oria Do FI Vs 51 Y first 2 Make parameters equal for all time periods This option will take the value for first year and apply it to all other years for all y dependent parameters CFI Vs Re Ct St y q Ar QS FI Vs Rg Ct St Ar 3 Assign 1 0 to all multipliers and relative Q s FL Vs St Ar 1 0 4 Assign standard values to catchabilityRel Std Dev Stochastic simulation The relative Standard deviation of FI St y is given the value 0 1 5 Assign zero to catchability std dev Tech devel Biomass effect and rig effect go Fl St y 0 FLVs Rg St 0 p FL Vs Rg St y 0 RE FI Vs Rg S1 0 Exp 54 EM TEMAS
65. VS Max FI Ct max FI Ct gt MAX X P FI Vs Rg Ct y q Ar 1 Fl l Vs l Re l x A Closure CE Vs Re Ct y q Ar EFP FL Vs Rg Ct St y q Ar NU FL Vs Ct y q o EY Fl Vs Ct y q Ar The modification of stock specific effort is contained in the factor X P F Vs Re Ct y q Ar The number of vessels was introduced in Section A 4 1 Omitting all special cases the general equations 114 TEMAS Manual 18 February 2008 Vessel age Number of vessels In period q where q gt 1 Va 0 NU vessa Fl Vs Ct y q 0 NUNew vessei Fl Vs Ct y q 1 2 V max NUVesseil Fl Vs Ct y q Va NUvessei FI q 1 Va 1 NUpecomm FI Vs Ct y Vs Ct NU attrition F1 Vs Ct Y q Va The dynamics of the number of vessels that is what creates an investment in a new vessel or withdrawal of a vessel is covered In the economic part of the TEMAS model Table 14 2 2 1 2 1 Baltistan East Baltic MAXIMUM NUMBER OF SEA DAYS REGULATION Fleet V Size Rig Country Area Regime 2 2000 Peri 2000 Ferz 2000 Per 3 2000 4 2001 2007 Per 2 2001 Per 3 2001Per4 2002 2002 2 2002 Per 3 2002 2003 Perl 2003 Trawl Small lt n3 n8 58 af af 55 565 n5 n5 54 n4 53 53 Trawl Small gt Tl rrim 55 54 53 53 53 52 51 51 51 50 43 43 49 Trawl Large lt H mm 5
66. ore ord 990 951 9802 883 994 205 996 957 959 Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Ealtistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan 853 Baltistan 290 Baltistan ESI Baltistan 992 Baltistan 833 Baltistan 834 Baltistan Baltistan 835 Baltistan 997 Baltistan 838 Baltistan 833 Baltistan Baltistan 901 Baltistan 902 Baltistan 3013 Baltistan 804 Baltistan 905 Baltistan En Baltistan 307 Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Gillne
67. shows the initial number of vessels 1 e the number of vessels in first period of first year NUvessa Fl Vs Ct y 1 q 1 Va and number of new vessels 1 the number of recruiting vessels or vessel investments in all years and all periods NUvesselFl Vs Ct q 0 NUnew vessei Fl Vs Ct y q The example in Figure 2 8 2 a deals with only one vessel age group Figure 2 8 2 b shows an example with 13 vessel age groups In this example it becomes clearer that the new vessels are recruits i e belong to age group 0 As new vessels can enter only age group 0 the values for age group 1 are not detfines which is indicated by No Value Only the first period in first year can contain the 1 vessel age group EXCEL Table 5 4 2 Figure 2 8 2 a contains the multipliers for the initial vessels numbers and the numbers of new vessels X y The resulting number of vessels will become the product of EXCEL tables 5 4 1 and EXCEL Table 5 4 2 This multiplier will also be applied to the initial number of vessels in first period of first year For the initial fleet the multiplier applies to all vessel age groups 70 TEMAS Manual 18 February 2008 Figure 2 8 3 shows the number of crew per vessel EXCEL Table 5 4 3 and the maximum number of days per months EXCEL Table 5 4 4 The crew per vessel is used to compute the employment by multiplication with number of vessels and to compute other indicators o
68. ti rmm Gillnett Baltistan Small gt Ti rnm Gillnett Baltistan Medium Tl rmm Gillnett Baltistan Medium 5 10mm Gillnett Baltistan Large Timm Gillnett Baltistan Large 110mm OB Trawler Baltistan Small Tl rmm OB Trawler Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Large lt 1710mm Trawler Baltistan Large gt Gillnett Baltistan Small lt Small 110mm Medium lt 10mm Medium gt Gillmett Braltistan Medium 110mm Gillnett Baltistan Medium gt H mm Gillnett Baltistan Large lt Gillnett Baltistan Large gt 110mm 2000 Per 2000 2 2000Per3 2000 4 2001 2001 2 2001Per3 2001 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 17 25 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 0 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 20 70 18 98 18 98 18 93 18 98 18 98 18 98 18 38 18 98 18 88 18 88 18 38 18 98 18 98 18 38 18 38 18 98 18 98 18 98 18 98 1
69. y 2 St y 2 Fror Mean St y 2 The mathematical expression for the ICES harvest control rule with all indices reads 120 TEMAS Manual 18 February 2008 0 if SSB St y lt B St B St y SSBC Bim St lt SSB St y lt B SD pa St Bi St F St if SSB St y gt F ucr St 2 F St That means that the F dictated by the 15 used in the catch prediction next year relative to the assessment year y l Year y is the last data year The same dictated fishing mortality derived foregoing year 15 used in the simulation model for the current year that 1s the year of the ICES assessment y 1 The Fucr of is converted into a TAC for the quota management regime Eq D 4 3 3 1 a Amar St TAC St y gt Crop St ya w St y a which will be applied in the simulation model to stop the fishery under quota regime if the TAC is exceeded In practice however the TAC is often counted against the landings The catch 16 divided into landings and discards and the condition for quota management now becomes Eq D 4 3 3 2 a max St Ct Fl Vs FI Ct R8 max CFT Ct AT yax TAC S y2 GL Vs 1 1 C FL Vs Ct St Ar w St y a q Technically the TEMAS program does not search for the F that produces a given TAC It starts with the Fra and from
70. 1 51 Plaice x Diff 38 9 39 1 33 1 393 2 939 2 33 2 39 4 99 4 39 5 33 5 Ea Economic Output Stochastic Output NEW Output X Tuning Output Rules Ogives Figure 4 6 2 Selected output from Tuning The diagnostics are the relative differences between observations and model predicted values Observed Value Calculated Value Difference 100 lt Calulated Value which you by manipulation of parameter values tries to make as close as possible to zero The example of Figure 4 4 2 refers to the entire stock and fishery There are other similar tables with area and fleet specific diagnostics in work sheet Tuning Usually you will firstly tune the overall results and subsequently fine tune to the detailed results 179 EM TEMAS Manual 18 February 2008 7 BREAK DOWN OF TEMAS ERROR MESSAGES TEMAS may break down TEMAS as any other program contains bugs EXCEL contains bugs You may make errors There are many reasons why TEMAS may break down There is one general rule for the user not familiar with VISUAL BASIC Close TEMAS and restart it In the example below an error was made on purpose to demonstrate a run time error message of EXCEL In this case the message file RUN MESSAGES TXT Section 4 6 was opened by EXCEL Then no other EXCEL workbook can open RUN MESSAGES When you start TEMAS CALC it will try to open the message file and find out that i
71. 1 Hist Cashflow 2 1 Hist Cashflow i d Mas Capacity i d Mas Capacity 1 Hist Cashflow 1 Hist Cashflow Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Small Ois investment Small Diiz invest Small Ois investment Small Mo Diiz inuezt Small Small Small Small Investment Ma Invest Investment Invest Medium Accept Decomm Medium Reject Decomm Rule 1 Attrib 1 Qecommission Fee Baltistan Gillnett Baltistan Medium Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 1 Charact Rule 1 Charact 2 1 Hist Cashflow 1 Hist Cashflow lt e Mas Capacity 2 d Capacity 1 Hist Cashflow lt 1 Hist Cashflow lt e Mas Capacity e lan Capacity 1 Hist C azhflow 1 Hist Cashflow Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Ba
72. 18 February 2008 S H Baltistan RESULTING VESSEL AGE DISTRIBUTION 2000 Fer 1 Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 2003 number 2 Fer 3 Fer 4 Fer 1 Fer z Fer 3 F er 4 F er 1 Fer z Fer 3 Fer 4 Fer 1 Ferz Fer 3 Fer 4 2004 Perl The resulting number of vessels by vessel age group at beginning and during the year Mumber of vessels Period Number of wessels Feriod 1 Age Numbe Baltistan RESULTING NUMBER OF DECOMMISIONED VESSELS 2000 1 Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 2003 number 2 Fer 3 Fer 4 Ferz Fer 3 Fer 2 Fer 3 Fer Fer 1 Fer 2 Fer 3 Fer A 1 2004 1 Resulting number of decomissions Results derived from application of multipliers iF applied otherwise a copy af foregoing table with number of decomissions 502 STOCK 4 503 FLEET 4 Ark2 504 EFFORT 3505 BOATS S06 PRICES Figure 2 8 5 Resulting number of vessels and resulting numbers of decommissions Explanation below EXCEL Table 5 4 8 The resulting number of vessels by vessel age group at beginning and during the year Number of vessels Period Age Number of vessels Period 1 Age Number of decommissioned vessels Period Age Number of attrition vessels Period Age Number of disinvestment vessels Period Age Number of investment Period 1 The last term is non zero
73. 2 2 3 The menu of the worksheet The yellow cells are not easily reproduced in a black and white copy of this report so in case you cannot spot the yellow cells you are told that they are 13 18 E13 F 14 113 J14 and M13 M14 altogether 12 cells You activate the menu of the worksheet by clicking on the button with the idealised fish school the logo of TEMAS menu for the dimensions worksheet 501 DIM is shown in Figure 2 2 3 Once you have activated the user form you cannot access the worksheet The get out of the user form click on the X in the upper right corner of the user form The menus of the worksheets all have the same basic design They all contain the tree buttons a blue one Read XXXX from disk file a yellow one Read XXXX from worksheet and a grey one Goto Main Menu where XX XX is the name of the content of the worksheet The menu for dimensions has In addtion a button which are not in other userforms Read dimensions from disk file Figure 2 2 3 will delete the content of the worksheet read the dimensions from the disk file and display a new set of Tables Read names from worksheet will do the opposite it will read the names from the worksheet and store the results the disk file Thus if you want to change the name of say one of the fleets you overwrite the old fleet name and click on Read names from worksheet To change the dimensions you nee
74. 2 Ves siz 3 Gilln Trawl Other Other OF VESSEL SIZES able 1 5 6 4 Vessi1 Wees siz 2 Vez siz 3 Other Denmark NAME OF RIGGINGS Rig 1 Rig 2 Rig 3 Germany OF RIGGINGS Rig 1 Rig 2 Rig 3 Latvia NAME OF RIGGINGS Fig 1 2 Rig 3 Poland NAME OF RIGGINGS Rig 1 Fi i Sweden OF RIGGINGS Rig 1 Rig 2 Rig 3 Other NAME OF RIGGINGS Rig 1 2 Rig 3 Figure 2 4 15 Starting up a new case study with TEMAS Step 6 Rig 4 This brings us to the end of definition of dimensions of a new case study Table 2 4 16 At this point TEMAS will start creating the data structured matching the dimensions just entered That may take a while depending on the magnitudes of dimensions TEMAS will create table templates all the standard input worksheets according to the dimensions and names given as input 501 DIM S02 STOCK S03 FLEET S04 EFFORT S05 BOATS S06 PRICES S07 ECONOMY S08 RU S09_ STRUC RU 10 TUNING S11 OBS 514 TEMAS and S15 HCR Once this is done it 15 relatively difficult to change the case study set up although it is possible The names however can easily be changed as the Dimensions user form contains an option Read names from worksheet Figure 2 2 3 This option allows for modifications of all names but not dimensions If dimensions are to be changed you will have to repeat the six step procedure 29 TEMAS Manual 18 February 2008
75. 2008 D G H J i Annual 550 Obs land Simulated land Simulated land Diff between Weight of simulated ar 2 TURING OF TEMAS 3 Evaluation Frame for fisheries management systems 3 Fersion EXCEL 2003 MS isual Basis 6 3 TEMAS 15 Aug 2007 5 Marine Fisheries Department Danish Tecnical University T G Mate To change input parameters start the INPUT module 3 10 11 Table 8 1 1 Regime 1 west Cod ANNUAL SSD FYS Fig Cr Ar BASIC DATA 12 13 2000 z001 2002 2003 2004 2005 2006 2007 2008 2009 14 west Baltic Baltistan Trawler Baltistan Small ti rnm 10454 24571 2 0841 0 6807 25724 15 East Baltic Baltistan OB Trawler Baltistan Small lt 110mm 16 Baltic Baltistan OB Trawler Baltistan Small lt 17 Bornholm Baltistan OB Trawler Baltistan Small lt 18 Gotland Baltistan OB Trawler Baltistan Small 18 west Baltic Baltistan OB Trawler Baltistan Small gt 110mm 14434 34568 23531 0 3934 3 5904 20 East Baltic Baltistan Trawler Baltiztan Small gt 110mm 21 Alot Baltic Baltistan OB Trawler Baltistan Small gt Tl rnrn 22 Bornholm Baltistan OB Trawler Baltistan Small gt
76. 21762 14 714 Crew Oppurt c 300 8450 8125 7316 6810 6705 4004 2652 1876 988 Fited costs 7875 T3125 70313 63313 5980 58025 3465 2235 1710 855 Investment 0 0 0 0 0 0 0 0 0 Management 3 30 z zo 30 z 230 z0 Mcash Flow 43554 25687 17440 14601 14351 14360 1114 1883 13850 10470 M P V eazh Flow 7813 8 Table 1 10 ADDITIONAL INFORMATION ALL FLEETS Deterministic 2000 2001 2002 2003 2004 2005 2006 2007 2008 2003 Landings Cod 63520 4976 1 4086 4 35884 24203 33447 22430 19345 19343 1317 8 Landings Plaice 67321 58148 521 74 470 85 46360 47139 31615 25735 24185 153 53 Total Landings 7625 3 5557 3 4608 1 40532 38945 38161 2559 2 21825 21762 14714 Value Cod 563633 45181 36552 31826 30453 23782 20015 17338 17459 11984 Value Plaice 62444 53881 48063 431 7 42438 43218 23047 2376 3 2240 7 14288 Tatal Value 63977 50568 41259 36140 34637 34104 22919 19717 19700 13414 Mean Valuefkg 3 1639 8 0997 83752 83032 89032 8 9369 83558 2 3830 30527 Number of Crew 386 388 988 988 988 988 998 989 399 388 Mumber of boats 2800 2600 2500 2251 2126 2063 1232 816 608 304 Figure 4 1 3 Third portion of Summary output 149 3 2 GRAPHICAL OUTPUT FROM TEMAS Chart Wizard Step 1 of Chart Type H x Standard Types Custom Types Chart type Chart sub Eype with markers displayed at each data alue Fress and hold to wiew sample Cancel lt Back next
77. 245 3b Table 2 5 2 STOCK west Cad MIGRATION GR 2 Migration coefficients Probak 23 Table 2 6 1 STOCK NATURAL MORTALITY west Cod mortality as funtion c 40 2 STOCK NATURAL MORTALITY East ead Natural mortality as a funtion c 41 Table 3 1 1 FLEET Baltistan ABSOLUTE Species Area by Fleet W Size Country Ait Catchability Fl Size Aig Ctr 42 Table 312 FLEET Baltistan PARAMETERS IN MODEL FOR C4TCHABILITY Species Fleet Size F St Oev G Relative standard d 251 45 Table 3 2 1 FLEET Baltistan MESH SIZE generalized concept Species Fleet W Size Fig Mesh sizes in user defined 1 46 Table 3 2 2 FLEET Baltistan GEAR SELECTION FACTOR Species Fleet v Size Ric Gear selection Factor L50 253 4 Table 3 2 3 FLEET Baltistan GEAR SELECTION RANGE 75 259 Species Fleet Fig Gear selection range 1752 1 45 Table 3 2 4 FLEET Baltistan DISC amp ROS L50 Species Fleet Size Rig L50 Body length at which 5i 49 Table 3 2 5 FLEET Baltistan DISC AREIS L25 Species Fleet Size LYS Body length at which 2 50 Table 3 2 6 1 FLEET Baltistan west Baltic RELATIVE PERIOD CATCHABILITY mas value 1 Spec Relative distribution of Catches rh Table 5 4 1 BOATS Baltistan INITIAL VESSEL AGE DISTRIBUTION AMDO INVESTMENTS NEW vVESSE The number of vessels by vess 259 Table 542 BOATS B
78. 257635 222028 195438 179472 133833 102182 67677 36166 63394 15398 35137 43758 20785 Cash Flow Financial Harvest Gill net Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 Minimum 814 33039 14159 1770 15971 25115 59739 63265 69560 5000 94366 69533 6635 Mean SD 89875 47439 69120 59968 25358 11301 18217 20228 37698 42083 58776 29577 37965 Mean 137323 89822 108069 95593 60622 46766 17858 16318 1863 6182 25128 2862 4330 Mean SD 349679 294349 262536 233528 185990 150015 119086 89315 116117 66177 83923 92938 72304 Mean SD 184772 132206 147018 131218 95885 82231 53934 52863 33972 29720 8520 35302 29305 Cash Flow Financial Government Treasury Trawler Year Minimum Mean SD Mean Mean SD Maximum RERUM etc Year Minimum Mean SD Mean Mean SD Maximum etc Year Minimum Mean SD Mean Mean SD Maximum P etc Year Minimum Mean SD Mean Mean SD Maximum EH etc Year Minimum Mean SD Mean Mean SD Maximum Mene etc Revenue Gill net Year Minimum Mean SD Mean Mean SD Maximum T etc SSB Shrimp Year Minimum Mean SD Mean Mean SD Maximum m etc SSB Squid Year Minimum Mean SD Mean Mean SD Maximum etc Yield Shrimp Year Minimum Mean SD Mean Mean SD Maximum PE sea etc Minimum 12244 17002 17109 14274 11492
79. 3 DI COUNTRIES Fleets can be grouped by cour 230 4 Table 1 4 Dif AREAS Areas Fishing grounds wh 5 Table 1 5 1 1 Baltistan FLEETS A Fleet iz group of Fairly sirr Table 1 5 1 2 Dir Baltistan FLEET DIMENSIONS Vessel size groups can be any T Table 1 5 1 3 m Baltistan MAME OF VESSEL SIZES Yessel size groups can be any a Table 1 5 1 4 Dir Baltistan MAME OF RIGGINGS Higgings means a subdivison 24 Table 2 1 2 STOCK CONDITION FACTOR Condition F actor is a paramet 25 Table 2 2 1 STOCK RECRUITMENT FARAMETERS Parameters in four alternative 23r 2 Tablez23 STOCK RECRUITMENT DISTRIBUTIOR OM AREAS Distribution of recruitment on 28 Table224 STOCK LOW SPAWNING SUCCESS ON AREAS The weighting Factor applied to 233 29 Table225 STOCK HIGH SPAWNING SUCCESS OM AREAS The weighting Factor applied to 30 Table 2 2 6 STOCK RECRUITMENT TRENO OVER YEARS IF we assume e q a sequence 31 Table 2 3 1 STOCK STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 0 1 Initial number of juvenile fish 22 Table 2 3 2 STOCK STOCK NUMBERS FIRST PERIODO OF FIRST YEAR Age 2 Initial number of age 2 Fish 51 33 Table 2 4 1 STOCK WEIGHTING FACTORS FOR MEAN F CALCULATION 0 1 over arange of ages u 244 24 Table 2 4 2 STOCK WEIGHTING FACTORS FOR MEAN F CALCULATION 2 MleanF over range of ages u 25 Table 2 5 1 STOCK West Cod MIGRATION AGE GR 0 1 Migration coefficients Probat
80. 5 b The overall structure of MPA and closed season parameters for one regime the upper part of Figure 2 15 5 a One country and all areas Option 5 Make maximum regulation sea days and closed seasons equal for regimes and 2 can be used In case you don t want to assess the effect of closed seasons and MPAs It simply copies the parameter values for regime to regime 2 Option 6 Remove maximum regulation sea days and closed seasons for regimes 1 and 2 assigns the maximum possible number of sea days entered in work sheet S05 BOATS to the parameter for maximum regulation sea days It opens all closed areas for fishery by assigning the value 1 the closed area factor 117 TEMAS Manual 18 February 2008 PREPROCESSING OF TECHNICAL MANAGEMENT MEASURESS INPUT Figure 2 15 6 Options for pre processing of parameters of technical management measures TEMAS 118 TEMAS Manual 18 February 2008 2 16 INPUT OF HARVEST CONTROL RULES 515 Figure 2 15 1 shows the user form of sheet 515 and Table 2 16 1 lists the EXCEL tables in the sheet There is one table for for the of the precautionary approach the of ICES and one table with relative stability for each combination of stock and area 1 HARVEST CONTROL RULES B TECHNICAL MANAGEMENT MEASURES Eg HARVEST CONTROL RULES Options for Preprocessing of data B West Cod M West Cod Fli dB West Cod
81. ANALYSIS OF GOVERNMENT TREASURY Determinis Trawler 2000 Trawler 2003 Gill Net 2000 Gill Met 2009 Tastboatlyr B Subsidiesfboatsryr Vessel Decomm Crew Decomm 0 0 0 3 Management C 15 15 15 15 70 Effort tax 324 22 105 63 308 07 35 208 rl Effort Subsidy 616 15 70 417 205 38 23 472 F2 Licence fee 1650 182 40 Sen 60 300 Vessel subsidy 105 11 400 3n 3 9000 _ 7 Revenue tax 1746 9 335 35 1746 9 335 35 Mcash Flow 3615 0 926 56 2359 6 383 03 Flow 372 18 586 38 73 Table 1 5 ECONOMIC ANALYSIS Deterministic KUN Trawler 2000 Trawler 2009 Gill Met 2000 Gill Met 2003 81 Gross revenue 34333 Bru 34333 6707 92 Cost of effort 6161 5 704 17 3080 7 352 08 E Cost of landings 38 126 35 3 38 126 3569 4 Crew Oppurt c 6300 594 2900 304 85 Fired costs 5250 Tay 2625 295 Sb Investment 9r Management C 15 15 15 15 88 M cash Flow 17174 4726 5 26380 5743 5 99 M P V cash Flow 24814 5332 4 1 82 Table 1 6 ADDITIONAL INFORMATION Deterministic 93 Trawler 2000 Trawler 2009 Gill Net 2000 Gill Net 2009 84 Landings Cod 3476 0 659 92 3476 0 659 92 35 Landings Plaice 336 60 76 765 336 60 76 766 96 Total Landings 3912 6 730 69 3912 6 735 53 9 Value Cod 31816 5332 1 31816 5332 1 98 Value Plaice 3122 2 714 32 3122 2 714 32 33 Total value 34333 34333 5707 0 100 Mean Yaluerkg 3 163
82. Carh Flou FINANCIAL AHALYSIS i 3661 39 3 13961 140929 2 ABET 14595 6 91250 65 CarhFlauFIHAHCIALAHALYZIZOFFL 5675 02 amp 502d4 72 100599 0 5210 2 140954 0 9222227 1 49 2 69919 4 zarh Flou FIHAHCIAL AHALY 1402052 7911727 1 5 z SXE T HF zarh Flou FIHAHCIAL ANALYSIS C 1282849 Tee5970 1 50 4 Carh Flow GOVERNMENT BUDGET 145421 22944 01 174176 6 34047 53 FTE 191100 2 g zz4T Carh Flow aOVERFHEIEHT EUOGETANA 145447 32159 72 172129 zz8z59 zbTz amp z d dTz T 61 191114 31724 05 15 NPYcarkFlouGOVERMMENTEUD 2720739 10 2 17 zarh Flou GOVERMMENTEUDGET 2427262 1 0 1 90E 07 2 T E T 4 tarh Flou ECOHOMICAMALYSIS _ 1292411 31110 74 1624994 37605 94 zddidz T zzzzTz T SEE 205944 Carh Flow ANALYSIS 129257 2E0S0 7R 1625117 124645 2434164 278 57 53 179950 22155 41 HF zarh Flou ECOHOMIC ANALY 6145145 1 57E 07 E amp EES T X BEE T HF arh Flou ANALYSIS 5621127 1 27E 07 3 1 amp TokalLandinar 418733 b dTe2z1 T d5979 4 220415 12 69957 33 96667 S TTE5S5E 16 d303 Total Landingr 414733 x z E z T d5979 55 42 69957 0 2 7TT2552 3 12E 03 1 Total Value Tesi 60751 95 435 61929 57 3121592 didSd
83. Ct y q Ear pis Fl Vs Ct y q Ar The next step in the distribution of effort 1s the distribution on riggings for given area E Fl Vs Rg Ct y q Ar E Fl Vs e y q Enie pi Fl Vs Rg Ct y q Ar The definition of effort distribution on riggings for given area Ar 15 E FI Vs Rg Ct y q Ar E FI Vs e Ct y q Ar To summarize the distribution the complete model of effort distribution on areas and on rigs for given area read E si pis FL Vs Re Ct y q Ar E FI Vs Rg Ct y q Ar E FL Vs e Ct q o si FL Vs Rg y q Ar E FL Vs e Ct y q Ar Area dist EXCEL Table 4 2 Figure 2 7 3 2 shows the distribution of effort on areas Figure 2 7 3 shows only a part of the table Figure 2 7 3 b shows the complete tables with an indication of the table hierarchical structure Country Gear Vessel size area Thus each group of five cells one for each area sums up to 1 0 E g the sum of cells B40 41 42 B43 and 44 15 1 0 In case you enter numbers that do not sum up to 1 0 the program will normalize the values so that the sum becomes 1 0 as illustrated in Figure 2 7 3 c In this case cells B40 B44 contain the numbers 20 30 40 50 and 60 which normalized become 0 10 0 15 0 20 0 25 and 0 30 In case you enter only zeroes the program cannot normalize and the values no value will appear in the EXCEL table The resulting effort s
84. DE Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan OB Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan OE Trawler Baltistan Trawler Baltistan Trawler Baltistan Trawler Baltistan Small Small Small Small Small Small Small Small Small Small H EE quu c Table 4 7 RESULTING EFFORT DISTRIBUTION ON RIGS AFTER DISTRIBUTION ON AREAS West Baltic lt 10mm West Baltic gt 110mm East Baltic East Baltic gt Baltic Baltic Bornholm Bornholm Gotland lt Gotland 110mm Medium Medium Medium Medium Medium Medium Medium Medium Medium Medium lt H mm lt lt 10mm H mm West Baltic lt West Baltic gt 110mm East Baltic lt 10mm East Baltic Baltic Baltic Bornholm Bornholm Gotland lt 110mm Gotland 110mm gt 10mm H mm gt 11 Ti mm Timm Large west Baltic Tl mm 4 k SD3 FLEET Z Ark2 X S04 EFFORT 505 BOATS SD6_PRICES lt Figure 2 7 8 Resulting effort after application of effort multipliers Explanation below EXCEL table Calculated by Effor
85. DIM 25 1 Germany FLEETS A Fleet iz group oF Fai 10 Table1 5 2 2 1 501 DIMM es 4 Germany FLEET OIMEN SIONS Vessel size groups E 11 Table1 5 2 3 1 S01 DIF 25 a Germany MAME OF VESSEL SIZES Vessel size groups can E 12 Table1 5 2 4 1 501 25 13 Germany MAME OF RIGGINGS Rigging means a subdi 13 Table1 5 3 1 1 501 Olt 34 1 Latvia FLEETS A Fleet iz group af Fai 14 Table1 5 3 2 1 501 Dh 34 4 Latvia FLEET DIMENSIONS Vessel size groups E 15 Tablei5 3 3 1 S01 Dr 34 OF VESSEL SIZES Vessel size groups cant 526 Table15 5 2 5 15 515 235 1 RELATIVE STABILITY H amp RYEST CONTAC Relative stability For TAC 527 Table15 5 5 5 15 515 344 1 RELATIVE STABILITY HARYEST CONTAC Relative stability For TAC 528 Table15 3 4 5 15 515 353 1 RELATIVE STABILITY HARVEST CONTAC Relative stability For TAC 529 Table15 3 5 5 15 515 352 1 RELATIVE STABILITY HARVEST CONTAC Relative stability For TAC 530 Table15 4 1 5 15 515 371 1 RELATIVE STABILITY HARYEST CONTAC Relative stability For TAC 531 Table15 4 2 5 15 515 280 1 RELATIVE STABILITY H amp RYEST CONTAC Relative stability For TAC 532 Table15 4 3 5 15 515 383 1 RELATIVE STABILITY HARVEST CONTAC Relative stability For TAC 533 Table15 4 4 5 15 515 338 1 RELATIVE STABILITY HARVEST CONTAC Relative stability For TAC 534 Table15 4 5 5 15 515 HCR 407 1 RELATIVE STABILITY HARVEST CONTAC Relative stability F
86. Denne computer af Data File Folder 28 03 2007 18 26 E Lokal disk C Ml READ ME FIRST 27Mar07 doc 1661KB Microsoft Word Doc 27 03 2007 20 37 2 Documents and Settings 5 CALC 27Mar 7 xls 5353 Microsoft Excel Wor 28 03 2007 18 29 HJE EU prajecks BS TEMAS DEMON 27Mar 7 xls 3023 Microsoft Excel War 27 03 2007 13 34 ICES Wis BSE TEMAS_INPLIT_27MarQl7 xls 5093 KB Microsoft Excel Wor 28 03 2007 19 03 D STECF BH TEMAS STO OUT 27Mar07 xls 752 KB Microsoft Excel Wor 27 03 2007 13 55 TEMAS iM TEMAS LISERS MAMUAL 27MarD7 dac 5583 kB Microsoft Word 28 03 2007 20 11 TEMAS DEMO i Data DEMON 4 Migl 3 O 5 Mig3 Multiple Output 3 Help HELP C HELP INPUT y EXTRAS Kopi af Data EJ WINDOWS 5 TEMAS _7DecD6 Figure 1 3 1 Location of the directories and subdirectories of TEMAS as shown by the WINDOWS explorer It is difficult to predict the size of the TEMAS package but for most applications 20 Mb of hard disk should be sufficient Often you will need less space As TEMAS consists of three EXCEL workbooks their size depends on how much is contained in the cells of the worksheets The TEMAS package can be delivered in three ZIP files by email or you may get the original files not zipped on CD or TEMAS may be downloaded from PROTECT of EFIMAS website There is no installation procedure as
87. East c 16 Table 2 1 1 1 1 1 2 Economic Output 13 1 FIMAMNCIAL ANALYSIS OF FLEETS Baltistan Trawler Baltistan These are the financial input 1 Table 2 1 1 1 1 2 2 Economic Output 32 1 Annual FINANCIAL AMALYSIS OF FLEETS Baltistan OB Trawler Ba These are the financial input 15 Table 2 1 1 1 2 1 2 Economic Output hz 1 GOVERNMENT BUDGET LYSIS Baltistan Trawler Baltistan These are the financial input 13 Table 2 1 1 1 2 2 2 Economic Output r2 1 Annual GOVERNMENT BUDGET ANALYSIS Baltistan Trawler B These are the financial input el Table 2 1 1 1 3 1 2 Economic Output 99 1 ECONOMIC ATAL S SIS Baltistan Trawler Baltistan Small These are the economic input 21 Table 2 1 1 1 3 2 2 Economic Output 106 1 Annual ECONOMIC ANALYSIS Baltistan Trawler Baltistan Sma These are the economic input 22 Table 2 1 1 1 4 1 2 Economic Output 121 1 A0DITIONAL INFORMATION Baltistan OB Trawler Baltistan Small Additional information ea Table 2 1 1 1 4 2 2 Economic Output 154 1 ANNUAL A amp DOITIONEL INFORMATION Baltistan Trawler Baltist Annual Additional informatior 24 Table 2 1 1 2 1 1 2 Economic Output 187 1 FINANCIAL ANALYSIS OF FLEETS Baltistan Trawler Baltistan These are the financial input eb Table 2 1 1 2 1 2 2 Economic Output eel 1 Annual FINANCIAL 515 OF FLEETS Baltistan OB Trawler Ba These are the financial input eb Table 2 1 1 2 z 1 2 Economic Out
88. East cad East ead East cad East cad East cad East cad East cad Gillnett Baltistan Gillnett Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan TEMAS Manual 18 February 2008 Table 3 1 2 Baltistan PARAMETERS IM MODEL FOR CATCHABILITY Species Fleet V Size Rig Small lt 110mm Small gt 110mm Medium lt 110mm Medium gt ti rnm Large lt 110mm Large H mm Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Small lt 110mm Small gt 1i rnim lt gt 11 Large lt 110mm Lange gt 110mm OB Trawler Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Small lt 110mm Small gt 1i rmm Medium tl rmm Medium gt 110mm Large lt 110mm Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Large 110mm Small lt 110mm Small gt 110mm lt 1710mm gt 170mm Large H mm Large H mm St Lleu l Biom Faram Tech Llev St Relative standard deviation of catchability used for stochastic simulation Biom Param Parameter model O0 Biomass Biom Param
89. Figure 2 7 5 b 60 OB Trawle OB Trawle OB Trawle OB Trawl altistan OB Trawl iztan OB Trawl OB Trawl OB Trawl OB Trawl OB Trawle OB Trawle OB Trawle OB Trawle OB Trawle OB Trawle istan OB Trawle altistan OB Trawle altiztan OB Trawle OB Trawle OB Trawle OB Trawle OB Trawle OB Trawle altistan OB Trawle altistan OB Trawle altistan OB Trawle r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan r Baltiztan OB Trawler Baltistan Lar UB I rawler Baltistan Lar OB Trawler Baltistan Lar er Baltiztan Lar OB Trawler Baltistan Large er Baltiztan Large er Baltiztan Large er Baltiztan Larg er Baltiztan Larg er Baltiztan Small West Baltic lt 110mm Small West Baltic gt 110mm Small East Baltic lt 110 Small East Baltic gt 110mm Small Not Baltic lt 110mm Small Mot Baltic gt 110mm Small Bornholm lt 110mm Small Bornholm gt 110mm Small Gotland lt 110mm Small Gotland gt 110mm Medium West Baltic lt 110mm Medium West Baltic gt 110mm Medium East Baltic lt 110mm Medium East Baltic gt 110mm Medium Not Baltic lt 110mm Medium Not Baltic
90. Mames of Fleet characteristics such as vessel length tonnage engine power etc Table 5 3 OVERALL MULTIPLIER FOR NUMBER OF BOATS ALL FLEETS COUNTRIES AND YEARS Boats 3 vult 31 This multiplier raises all boat numbers that iz it applies to number of vessels in the First period af first year as well asthe number of new vessels lt applies to al M q h M Ark3 S04 EFFORT 505 BOATS SD6_PRICES 507 ECONOM lt gt Figure 2 8 2 EXCEL Tables 5 1 2 Fleet characteristics and EXCEL Table 5 3 Overall multiplier for number of boats and effort The explanations to EXCEL Table 5 1 say Row 14 Max level charact refers to the maximum allowed sum over of characteristics over all indices in the Aggregation level Level 1 Ct Level 2 Fl Ct Level 3 FI Vs Ct Row 15 Index Max Charact indicates the selected characteristics to be used in the definition of level charactert e g If levet is 1 then it could be the maximum allowed total Kg Wat of all fleets in a country Row 16 Number of Fleet characteristics vessel length tonnage engine power etc see next table There are 3 possible levels used for definition of maximum allowed characteristics Level I by Country Level 2 by Fleet and Country Level 3 by Fleet Vessel size and Country Index means index of fleet characteristics used for definition of maximum allowed characteristics note only one choice possi
91. Manual 18 February 2008 2 7 EFFORT INPUT OPTIONAL S04 EFFORT Figure 2 7 1 shows the input user form for worksheet 504 EFFORT fleet structured input RELATED EEEDRT RUN INFORMATIO Date of this run EE Name of Run Param Created File Name Note Effort may also be defined by the effort capacity rules in which case the program will ignore the data on Effort is defined as the product of four factors 1 Effort Capacity FI Vs Ct YOIFI Vs Ct 2 Effort Dist On Areas YO FI Vs Ct Ar 3 Effort Dist Rigs Given Area YO FI Vs Rg Ct Ar 4 Effort Multipliers Y O FI Vs Rg Ct Ar where Fl Fleet Vs Vessel size Rg Rig Ct Country Ar Area Y Year q Period ES Reference effort is the efforts values from which all other effort values are obtained by multiplication by the effort Mults and distributions 19 They equal the capacity which is defined Capacity Number of Vessles Maximum number of days per period READ EFFORT POSSIBLE EFFORT For all Country Fleet V Size 2r 3 2000 4 2001 Per 1 2001 2 2001 23 Baltistan CIE Trawler Baltistan Small 2010 2010 2010 2010 24 Baltistan OB Trawler Baltistan Mediu EFFOR B r eri eri eri 26 Baltistan Trawler Baltistan Large 201 201 201 201 26 Baltistan Gillnett Baltistan Small flee behaviour 2680 2680 2680 2680 27 Baltistan Gillnett Ealtistan Medium 1340 1340 1340 1340 28 Baltista
92. No value or you use the pre processing of stock data Figure 2 5 9 The option Assign same M to all age groups times and areas will take the value in the upper left corner of the table indicated with a red frame in Figure 2 5 9 and use that value elsewhere in the table The option for calculation of initial stock size has already been discussed The option for no migration assigns 0 and to all migration coefficients 45 aaj TEMAS Manual 18 February 2008 lif A B MC from Area A to Area B 0 otherwise The standard values of relative standard deviations for stochastic simulation are Rel Std Dev Von Bertalanffy parameter K 0 1 normally distributed Rel Std Dev of Condition Factor 0 1 normally distributed Rel Std Dev of Recruitment 0 5 log normally distributed Rel Std Dev of Catchability Q 0 1 normally distributed Table 2 6 2 NATURAL MORTALITY East cod NOT BALTIC BORNHOLM GOTLAND 2000 Per 1 2009 Per 4 Figure 2 5 8 b Fourth part of stock parameters Natural mortalities 46 EM TEMAS Manual 18 February 2008 F PT Table 2 6 1 NATURAL MORTALITY West Cod 2000 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 1 Pert Pers Pert 1 Pernt Pers Pert Feri Pent Pers Pert Feri 2 Age Per 1 Area west Baltic 6 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 Age 0 2 Area west Baltic 0 2 0
93. Output Summary Output 2 R Evaluation Frame for fisheries management systems version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 ey Marine Fisheries Department i SELECT MULTIPLE SIMULATION OUTPUT 8 Mote To chang E DEB Trawler 12 Cash Flow FINANC 1 02 140329 3 13 MP cash Flow FI 156E 07 Mav Mer 14 Cash Flow GOWER b T 257242 1 15 MP Y cash Flow GO 2 ME 07 16 Cash Flow ECONO 5 98 244427 17 MP cash Flow 2 52E 07 18 Total Landings 13 63357 18 Total Value 318153 6 20 Mean Value ka 23224 06 21 Number of Crew 360 _ STOCHASTIC SIMULATIONS Give number oF simulations minimum 5 25 Table 112 Regime 1 27 Cash Flow FINANCIAL ANALYSIS OF FLEETS 28 NPY cash Flow FINANCIAL ANALYSIS OF FLEETS 28 Cash Flow GOVERNMENT BUDGET ANALYSIS 30 NPY cash Flow GOVERNMENT BUDGET ANALYSIS 34 Cash Flow ECONOMIC ANALYSIS 32 MPY cash Flow ECONOMIC ANALYSIS Fr Economic Output Y Summary Output y L Autefigurer w D CO 4 8 A dd zz lt BH g Klar Figure 3 7 1 Userform to start the stochastic multiple simulations 4 b H 142 EM TEMAS Manual 18 February 2008 aa aasma m ms Stochastic simulation mess
94. Rg Ct y q e RELHR gt F1 Vs e Ct St RELHRgt FI Vs e Ct 4 RELHRgt Ct St y q RELHRgt 9 9 0 St y q Ar RELHRgt e e e St y q e One traditional use of historical rights concerns distribution of a total TAC on countries The of a country In time period q of year y is TAC Ct St y q TAC e St y q RELHRgt e e e Ct y q e If the TAC is annual and we assign the same value RELHRgt e e e Ct y e of the historical right to all time periods then the annual TAC share of country Ct becomes TAC Ct St y e TAC e St y o e e e Ct This 1s the basic principle behind the TAC sharing between counties as 1s has been executed by the EU and other management bodies for decades The relative stability could be extended to effort quotas but this option has not yet been implemented in TEMAS because the actual legislation the EU regulations has not been formulated along that line Effort based management in the EU 15 introduced in the form of structural policy for fishing capacity Maximum number of sea days Section D 7 2 and closed areas Section D 8 TEMAS offers options to use the principle of relative stability on various disaggregated levels and based on various different measures landings value of landings and effort 123 EM TEMAS Manual 18 February 2008 100 Table 15 3 1 5 RELATIVE STABILITY HARV
95. Third part of stock parameters Some Migration coefficient for Eastern Cod Only in Figure c are details visible 43 EE TEMAS Manual 18 February 2008 Q1 Not Batlic Gotland EN BG 0 0 0 0 0 1 0 0 Ao Q3 mot poof mobile 01000 of of jo of of of ojo i of of of v 0 0 I 0 0 Cep mi s olola lolo mofo potato of ofo oo as 1 0 0 0 0 0 03 o fos 02 oj o oj rj of of of of o v Iris To AnA w E N B JG w r Np c EEN ol fo of ofo o 0 of 0 06 0 02 02 0 05 0 02 1 0 0 0 0 of io of 0 0 0 1 0 0 Lejos o oz 0 05 0 02 03 40 03 o o o of of i o of 0 0 0 1 0 0 o o o o2 o2 o os o 02 03 40 04 io o o of of io of 0 0 0 1 0 0 ojoe ojo2 o2 0 os 0 02 03 ai Q i o o o of of io of 0 0 0 1 0 0 0 06 o o2 o2 o os o 02 03 41 02 io o o of oJ 1 o of o ojo rjojo o o2 o2 ol os 0 02 03 41 05 11 o ojo o of i o of 0 0 0 1 0 0 ojoe oj0o2 o2 o os 0 02 03 41 04 ioo 0j 0 oipo ot o 0 06 02102 o os o 02 03 Ai 1 mot poof 2 os as filolo olof of iloj of oj06 0 02 02 o os 0 02 05 EXPERS wle Nip G w r N B G 0 01 i o o o of ojoez ojo2 joi o 0 06 o2 0 os o 02 os _0 067 010203 0 0 1 0
96. Ves siz 5 Mes siz Fig 1 2 Fig 3 Rig 4 5 OB Trawler Baltistan OB Trawler Baltistan Gillnett Baltistan Gillnett Baltiztan Table 1 5 2 3 Scandinavia NAME OF VESSEL SIZES Table 1 5 2 4 Scandinavia OF RIGGINGS Mes siz 1 siz 2 Wez ziz 3 Ves siz 4 Ves siz 5 Mes siz Fig 1 i Fig 3 Rig 4 Rig 5 OB Trawler Scandinavia OB Trawler Scandinavia Gillnett Scandinavia Gillnett Scandinavia 31 E g M 4 k HX501 DIM Z 502 STOCK 503 FLEET 504 EFFORT 505 5 Figure 2 5 1 b Dimensions of Demonstration example used to illustrate input formats 33 EM TEMAS Manual 18 February 2008 There are two hypothetical countries Scandinavia and Baltistan two stocks Western cod and Eastern cod The dimensions are smaller than the real case as the input tables otherwise would become rather big The time step 1s a quarter of the year The number of areas 15 5 This number 15 chosen to allow for more realistic demonstration of spatial aspects in connection with MPA s The number of fleets per country is 2 each with 3 vessel size classes and 2 gear riggings The number of age groups of fish stocks is 5 for both stocks to reduce size of tables and the number of vessel size classes is 1 that is the age structure of fleets 15 ignored DPS ls SEM IS EE 1 STOCK STRUCTURED INPUT RUN INFORMATION Date of this 21 03 2007 20 37 Name of Run
97. are not known Thus it is not possible to separate process errors and measurement errors but both are probably big However it is not satisfactory to make a complete separation between the real world and the simulations by TEMAS One would like to maintain the humble illusion that TEMAS does indeed resemble to the real world although we do not dare make statements about the prediction power of TEMAS The calibration of TEMAS is a rather ad hoc attempt to make TEMAS not deviate too much from the reality 6 2 CALIBRATION OF TEMAS The idea of calibration means to adjust certain parameters of TEMAS so that TEMAS can make simulated prediction for a historical period that does not deviate too much from the observed fisheries For example TEMAS should be able to simulate predicted catches from 1995 to 2005 that do not deviate too much from the actual observed catches 1995 2005 TEMAS calibrates some of its parameters by aid of the so called modified criterion Sokal and Rohlf 1981 2 XY gt X Observed A Caead X Indices X E 1 2 1 Calculated where X cuaea symbolises a prediction variable of the model for example the weight of cod caught by a certain gear rigging of a fleet fleet at a certain time in a certain area Xopservea indicates the value of X observed from a historical period The variables X are selected so that they are easy to access The example given above can be easily extr
98. calculation of initial N 55 Age 0 3 0 0 0 Enter O group period 3 here for calculation of initial IM Age 0 4 1372 03 655 574 1375 72 656 574 Enter period 4 here For calculation of initial Age 1 Fer 1 Enter constant Fs here for calculation of initial M 58 Age 1 2 59 Age 1 3 amp D Age 1 Per 4 Table 2 3 2 STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 2 West Cod East cad West west Cod west Cod west Cod west Cod west East cod Eastood Eastood Eastcod Baltic East Baltic Mot Baltic Bornholm Gotland Baltic East Baltic Mot Baltic Bornholm Gotland Age 2 Age 3 Age 4 b ul M 4 gt M 501 DIM Arkl502 STOCK 503 FLEET 504 EFFORT 505 4 Klar Figure 2 5 5 a Third part of stock parameters stock numbers first period of first year 40 EM TEMAS Manual 18 February 2008 Table 2 3 1 STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 0 1 West Cod west Cod Eastcod East cod West East West Cod west Cod West Cad west East Eastcod Easteod East cod Baltic Baltic Mat Baltio Bornholm Gotland Ealtic Baltic Baltic Bornholm Gotland Age O Fer 1 0 0 0 0 5000 0 15000 S000 Enter O group period 1 here For calcu Age 2 a 0 Enter O group period 2 here Far calci Age 3 0
99. cells occur only in workbook TEMAS INPUT WARNING 3 Do NOT change the names of the standard worksheets of TEMAS If you do TEMAS will not function WARNING 4 Do NOT change the location of the TEMAS directories as shown in Figure 1 3 1 You may however change the location of C TEMAS if you make the corresponding change the to the Declarations VB modules WARNING 5 Do NOT delete files in the directories by aid of Windows explorer E E BEAMS A Copy of Data C TEMAS Data C TEMAS Data Demonstration_ examples C TEMAS Data Multiple_ Output Ca Demonstration Examples C TEMAS Data Help _ Help a 9 Multiple Output The data files can be deleted by options in the menu and when Fl Data Demonstration Examples 41 22 Help 9 Multiple Qutput RECOMMENDATION 1 Do always keep a Backup file of your original data set To be on the safe side you may from time to time make a copy of the entire data subdirectory you want to delete data files do it with the button Delete File s the main menu of the input module Figures 1 3 5 6 Make also a backup of the entire TEMAS system so that in case everything goes wrong you can start up with a fresh version of TEMAS system and your input data Making these backups takes very short time seconds whereas you may loose days of work if you loose your original data In general TEMAS consists of two EXCEL workbooks Follow the normal precautio
100. contain number of sub models which has not been verified by recognized statistical tests Therefore the concept of prediction power may not be applicable to TEMAS We will simply not be in a position to say anything about the prediction power The output of the model is in the best case of the nature It is likely that management regime A gives a better performance than management regime B with respect of a selected measure of performance TEMAS should not be used to quantify for example the expected spawning stock biomasses There 15 no alternative to this approach when it comes to test alternative management regimes which has not been tested earlier A real statistical experimental design would require that the two alternative management regimes were test on two identical ecosystems and such an experiment will never become possible in practice L dl ZUM E wow _ Dp E k E V N WHAT IS THE NATURE FISHERIES EVALUATION FRAME Perhaps the best presentation of an evaluation frame is to compare it to a flight simulator Figure 1 1 2 shows a flight simulator from the outside From the outside you can see that it is not an aeroplane and it cannot fly 1114 F W i m r ll I Source Code EM TEMAS Manual 18 February 2008 However stepping inside Figure 1 1 3 you will get the illusion that you are in the cockpit of an aeroplane What you see in the window
101. costs will be multiplied by that factor 86 TEMAS Manual 18 February 2008 PREPROCESSING OF ECONOMIC INPUT LEM Figure 2 10 5 Options for pre processing of economy data and parameters 2 11 TRIP RULES INPUT 508 TRIP RU The sheet 508 TRIP RU Trip Rules contains the input parameters in the RUM Random Utility Model for short term behaviour or trip related behaviour The RUM is also named discrete choice model because it operates with a finite number of choices The model is mathematically equal to that for long term behaviour TEMAS offers two alternative ways of setting effort and capacity namely to let it be determined by the behaviour rules or to let it be given as input from the worksheet If the effort capacity is determined by the behaviour rules then the age distributions of vessels given as input data are not used by TEMAS The initial age distribution of vessels however is used in both options for effort input We shall comment further on this Issue at the end of this section The probability that choice maker i will select choice 4 is designated Pj The probability that choice maker i will select choice 7 A choice maker is in the present context a fleet FI Vs Ct A choice can be for example an area or a rigging _ EXPY choice RUM uses the logit model for the finite number of choices Pi choice M 2 exp U j l The utility U i j
102. data by summation over periods 106 TEMAS Manual 18 February 2008 Ctry Fleet Area Country Fleet Vessel size Rig V size Rig OB Trawler Baltistan Small lt 110 OB Trawler Baltistan Small gt 110 OB Trawler Baltistan Medium OB Trawler Baltistan Medium gt 110mm OB Trawler Baltistan Large lt 110 OB Trawler Baltistan Large OB Trawler Baltistan Large gt 110mm Not Baltic gt 110mm Gillnett Baltistan Small lt 110mm Gillnett Baltistan Small 110mm Bornholm Gillnett Baltistan Small 110mm Gotland Gillnett Baltistan Small 110mm West Baltic Gillnett Baltistan gt 110mm Gillnett Baltistan Medium Gillnett Baltistan Small 110mm East Baltic Small Gillnett Baltistan Medium 110mm Not Baltic 110mm Gillnett Baltistan Medium gt 110mm Not Baltic gt 110mm Gillnett Baltistan Medium 110mm Bornholm Gillnett Baltistan Medium 110mm Bornholm Gillnett Baltistan Medium gt 110mm Gotland Gillnett Baltistan Medium 110mm Gotland Gillnett Baltistan Medium 110mm West Baltic Gillnett Baltistan Gillnett Baltistan Medium 110mm East Baltic Medium Gillnett Baltistan Large lt 110 Gillnett Baltistan Large gt 110mm Ctry Fleet V size OB Trawler Baltistan Small OB Trawler Baltistan Medium OB Trawler Baltistan Large G
103. forste malear Lars Svendsen Ole Sortkjzer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard The production of Baltic cod larvae for restocking in the eastern Baltic RESTOCK I 2005 2007 Josianne G St ttrup Julia L Overton Sune R S rensen eds USER S MANUAL FOR THE EXCEL APPLICATION TEMAS or Evaluation Frame Per J Sparre
104. gt Finish Trawler jGillnet dev x ae TEMAS Manual 18 February 2008 Except NPV Output all output is structured as time series The output from TEMAS consists only of tables with numbers TEMAS does not produce any graphs It is up to the user of TEMAS to apply the facilities of EXCEL to produce whatever graphs she he considers useful Some tables are designed by TEMAS to make the transformation into a graph easy Figure 3 2 1 for example shows a typical output from 500 multiple stochastic simulations In this case the graph shows the frequency distribution of present net value of financial net cash flow of the harvesting for two fleets Trawlers and Gill netters Financial NPV of Fleets Class Trawler Gill net index Trawler Gill net O1 Q N gt m 1 3 5 EF EF EF Sa F F Su sm EF Gm UU G G GU GU GU um uam am UL Jt am am am am F am am T am am am s s s Oan a am a a am uam am E E E E E E E E E E E E E E E E E h gy gu ac am am am w an Gw ar s am an uam s s am am am a am Gn F s s Gm s F GA am Gam Gr am an an an am am am am E ar an am ar an a a an an a a8 uan ag a agn ua ag agn uan ag an uam
105. is then applie to the maximum price Pyuax Fl Vs Rg Ct St y q TA Vs Rg Ct St q 80 EM TEMAS Manual 18 February 2008 2 10 ECONOMIC INPUT 507 ECONOMY There are 3 economic models in the current version of TEMAS reflecting the views of three groups of stakeholders A FINANCIAL ANALYSIS OF FLEETS From the point of view of vessel owners B GOVERNMENT BUDGET The impact of the fleets on the government budget C ECONOMIC ANALYSIS The economic performance from of the economy as a whole Figure 2 10 1 shows the user form for entry of economy related input 1 INPUT RELATED TO ECONOMY READ ECONOMIC PARAMETERS 12 A FINANICIA 14 GOVERR Economics B of net prese Options for Preprocessing of data B COSTS 20 2000 4 A Operating c Goto Main B 4 Operating 23 4 Operating c Operating Read af economic parameters fram 4 Operating A Crew salar BE CL Crew salar Read Economic feet parameters fram sheet 25 Crew salar a 4 Crew salary Bornholm 17 ALA n x M 4 k M SOG PRICES WS07 ECONOMY 508 Tial Figure 2 10 1 User form for entry of economy related parameters Index EXCEL Table Caption 151 Table7 1 Rate of discount 152 Table7 2 1 1 1 Baltistan OB Trawler Baltistan Small COSTS 153 Table7 2 1 1 2 Baltistan OB Trawler Baltistan Medium COSTS 154 Table7 2 1 1 3 Baltis
106. lt Mot Baltic 33 DB Trawler Baltistan lt 10mm Bornholm 34 OB Trawler Baltistan Medium Timm Gotland 35 OB Trawler Baltistan Medium 10mm west Baltic 36 OB Trawler Baltistan Medium gt 10mm East Baltic 3r OB Trawler Baltistan gt Timm Mot Baltic 38 OB Trawler Baltistan Medium Timm Bornholm 33 Trawler Baltistan Medium gt Gotland West Baltic East Baltic Mat Baltic Bornholm Gotland West Baltic East Baltic Alot Baltic Bornholm OBS f 512 DEMON 513 TABLES 4 Figure 2 14 3 Observatins Landings by fleet vessel size rigging and area Fl Vs Rg Ar and area by one country Scandinavia If the data are available on an aggregated level the disaggregated table can still be used for data entry The aggregated data just have to be filled in cells representing the aggregation as illustrated in Table Which cell is chosen to represent an aggregation is irrelevant When the data subsequently ae used in the calibration process the user must choose the aggregation level of the input data or data further disaggregated The tuning module will then automatically aggregate the data before using them The same procedure applies if only annual data are available In that case the annual data are entered in one period any period of the year In question Before applied the program will convert the data into annual
107. mechanism behind the system dynamics The assumed Stock recruitment relationships may be candidates for model misspecifications 4 Implementation error The errors caused by regulations not being reacted to as assumed The fishers may find ways to implement regulations which do not lead to the achievements of the intensions of regulations The software will be able to simulate the effect of errors and bias by stochastic simulations Stochastic simulation is simple to repeat the same calculations a large number of times each time with new parameter values drawn by a random number generator The stochastic simulation requires specifications of probability distributions of those parameters which are considered stochastic variables The stochastic simulation module simply executes TEMAS a large number of times say 1000 times and each time it draws parameters and initial condition variables by random number generators executes a simulation over a series of years At the end it retrieves the results of all 1000 simulations and converts them into for example frequency diagrams Finally it should be noted that the operational model of TEMAS contains many parameters which cannot be estimated by the data currently available Therefore a large number of parameters will have be assigned plausible values that 15 values not estimated by statistical methods and observations but values which are believed to be reasonable Likewise TEMAS will
108. need not be filled in by you Figure 2 14 2 shows the entire table for West cod landed by Baltistan 104 TEMAS Manual 18 February 2008 deman observa ions M 4 k M S10 TUNING 5511 OBS 512 DEMON 513 qo Figure 2 14 2 Observatins Landings by fleet vessel size rigging and area Fl Vs Rg Ar and area by one country Scandinavia Illustration of time series of observations Aggregation level of landings used for tuning Data per period Country Total stock 5 Stock Area Aea __ County Hee Annual data Country oO MxN 252422222021 Total stock Table 2 14 2 Options for aggregation levels when tuning TEMAS with observations of stock specific landings In the present case the West cod is caught only in the Western Baltic The observations can be aggregated in various ways before they are used in the calibration as illustrated in Table 2 14 2 It may also well happen that observation data are not available in the highest aggregation level Area Country Fleet Vessel size Rigging EXCEL Table 11 2 1 however only offers data entry at the highest aggregation level 105 424 TEMAS Manual 18 February 2008 C LI E F G H J 1 OBSERVED LANDINGS USED FOR TUNING 2 RUN INFORMATION 3 4 Date of this run ziirii 15 01 F Hame of Run Param Created FEEFEE 00 00 T File DEMON 5 Mig 8 3 10 11 Table 11 1 TIM
109. of high reproductive volume Hereby all S R parameter in EXCEL Table 2 2 1 have been explained EXCEL Tables 2 2 2 and 3 keeps the distribution of recruitment on periods and areas respectively After the total stock recruitment is derived it is subsequently distributed on areas and time periods by the input parameters RecDistarea St Ar and RecDistpeiog St q the relative distribution of recruitment on areas and time periods Rec St y q Ar RecDist St Ar RecDist St q STR SSB St y 1 rea eriod Recruitment number in area ar N St 0 4 Ar RecDist St Ar Area AT Max N St y 0 4 i i ce 29 Thus RecDistarea St 1s assumed to be independent of time period The distribution on time periods is defined the same way RecDistperiog St q is assumed to be independent of area Ar Total Recruitment Number EXCEL Tables 2 2 4 and 5 contain the spawning success parameters rfs for low success and high success respectively These parameters are used to define the SSB Spawning stock biomass in two aleternative cases namely when the year is an inflow year and when it is not an inflow year Alygx St SSB St yo 2 gt Naa St y a q Ar 4 Ar l a 0 Wet St y a q Mat St a q RDist poa St q RSF gpa St sompa St 6 90 if Ar MPA RSF St Ar St seat if Ar MPA where the Spaw
110. of prices data and parameters Figure 2 9 4 shows the user form for four options for pre processing of price input 1 Make prices equal for all years This option applies to the maximum price only the relative price 15 not dependent on year It takes price for the first year and assigns that value to all the later years Pyuax FL Vs Rg Ct St v q Pua FLVs Rg Ct St 1 4 If you select that option the content of the cells for years after first year becomes irrelevant 2 Make prices equal for all time periods This applies to the relative price only the maximum price is not dependent on period It takes price for the first period and assigns that value to all the later periods Prei F1 Vs Ct St a q PRa FLVs Ct St a 1 If you select that option the content of the cells for periods after first period becomes irrelevant 3 Make prices equal for all fleets This option applies to the relative price and the maximum price It takes price for the fleet first year and assigns that value to all the later periods Pyuax FL Vs Rg Ct St y q Pua l 1 1 Ct St y q Pga FL Vs Rg Ct St a q Pre 1 1 1 Ct St a q Note that between year period variation 1s maintained If you select that option the content of the cells for fleets after first fleet becomes irrelevant 4 Apply common factor to all prices This option lets you read a common price multiplier X by an input box Then the multiplier
111. of the key results from the multiple stochastic simulations in the case where there are two stocks and two fleets Figure 3 5 1 shows an example of a graph easily produced from the first sub table of Table 3 5 2 ches dex 212 3 e 7 9 9 ae eee eee Class low Lim 278 40 22 5 58 Hb 112 38 165 100259 245 272 2 8 326 35343379 406 4 3 401486 SES 540 567 ms dd iismassssssscsr5cii 00 d d qz Dsum 5 mes 2 0 555555 5 5 205 09 917 531010983130 4 3 2 d 2 1 0 O Q d d d d 0 9 337 6 4 1 W 3 1 3 d 1 1 0 O0 0 9 d d d d 0 E 3 eee 9 9 9 7 9 OG 09 9 9 LECCE ERE ELE EE EEE EL 3 isis 79H 2 741101000000000090 Lo DINE j 1 22 9 9 90 9 9 0 0 9 0 9 9 0 9 5m l 833222100999909000202 r Table 3 5 1 Time series of Frequency 500 simulations of Cash Flow of Financial analysis of Harvest for fleet Trawler 157 EM TEMAS Manual 18 February 2008 Financial Net Cash Flow for Trawlers 00000 600000 500000 400000 Minimum 300000 Mean SD i Mean Maximum 100000 0 I I I 20 20 20 20 20 20 2 00 01 02 03 04 05 06 0 100000 200000 Figure 3 5 1 Graphical presentation of time series produced by multiple stochastic simulations Figure 3 5 1 shows an alternative way of pres
112. of the names of data files and data directories cerated by TEMAS If the name BalticCod2 was given the names given to files would be those shown in the picture to the left This time series of files contains the set of parameter files that all have BalticCod2 as a part of their name These files and their names are created automatically by the TEMAS and the user should never modify the names 20 TEMAS Manual 18 February 2008 ENTRY OF NEW CASE SYSTEM DIMENSIONS NEW CASE DIMENSIONS fF Version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 File list Main Menu B SIEP 1 Give name to new case study Q Not Done m HELP GIVE NAME TO CASE STUDY Page 1 of 2 Pages The name of the case study is also the name of disk text files and Folders which contains the parameters simulation results of the case study The two Folders containing all Files of a case study are CAMAINDIRECTORY CAMAIMDIRECTOR Multiple Output The Folder Sexe contains Files with parameters and single simulation autput as indicated by Ehe name the second Folder contains Files with results from multiple stochastic simulations The name MAINDIRECTORY is a generic name For the main directory name selected by the user HELP GIVE NAME TO CASE STUDY Pape 2 of 2 Pages JJ Parameter values are stored in 3 different types of txt file under case study specific name on the user s choice There is
113. only if age 1 Explanation below EXCEL Table 5 4 9 Resulting number of decommissions Results derived from application of multipliers if applied otherwise a copy of foregoing table with number of decommissions OB Trawler Baltiztan Small OB Trawler Baltistan Small OB Trawler Baltistan Small OB Trawler Baltistan Small OB Trawler Ealtistan Small OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Ealtistan Large UN OB Trawler Ealtistan Large PUS Trawler Baltistan Large OB Trawler Baltistan Large EU OB Trawler Baltistan Large Gillnett Baltistan 450 Gillnett Ealtistan 451 Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan 465 Gillnett Ealtistan 456 Gillnett Baltistan Gillnett Baltistan 458 Gillnett Baltistan 153 Gillnett Baltistan 460 Gillnett Baltistan 61 Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Table 5 4 10 Baltistan NUMBER OF VESSESLS SUMMARY Mew vessels Attritions Withdrawals Total Medium Mew vessels Medium Medium Attritions Medium Withdrawals Medium Total Mew wessels Attritions Withdrawals Total Small Mew vessels Small Decommissions Small Attritionz Small Withdrawals Small Total Medium Medium Medium Medium ves
114. r Hele listen kan ses pa DTU Aquas hjemmeside www aqua dtu dk hvor de fleste nyere rapporter ogsa findes som PDF filer Nr Nr Nr Nr 158 06 159 06 160 06 161 06 162 06 162a 06 163 06 164 06 165 06 166 06 167 06 168 06 sters Ostrea edulis i Limfjorden Per Sand Kristensen og Erik Hoffmann Optimering af fangstveerdien for jomfruhummere Nephrops norvegicus fors g med fangst og opbevaring af levende jomfruhummere Lars Flemming Pedersen Unders gelse af smoltudtraekket fra Skjern A samt smoltdedelighed ved passage af Ringk bing Fjord 2005 Anders Koed Udseetning af geddeyngel i danske s er Effektvurdering og perspektivering Christian Skov Lene Jacobsen S ren Berg Jimmi Olsen og Dorte Bekkevold Avlsprogram for regnbuegrred i Danmark Alfred Jokumsen Ivar Lund Mark Henryon Peer Berg Torben Nielsen Simon B Madsen Torben Filt Jensen og Peter Faber Avlsprogram for regnbuegrred i Danmark Bilagsrapport Alfred Jokumsen Ivar Lund Mark Henryon Peer Berg Torben Nielsen Simon B Madsen Torben Filt Jensen og Peter Faber Skarven Phalacrocorax carbo sinensis L og den speettede s ls Phoca vitulina L indvirkning pa fiskebestanden i Limfjorden Ecopath modellering som redskab i kosystem beskrivelse Rasmus Skoven Konge ens Dambrug et modeldambrug under fors gsordningen Statusrapport for f rste m le r af moniteringsprojektet Lars M Svendse
115. s s sm F F GF G8 348 a8 0 G8 248 am Arbitrary Unit Figure 3 2 1 Example of graph produced from the output tables of TEMAS 150 313 TEMAS Manual 18 February 2008 The unit on the x axis is arbitrary TEMAS finds the minimum and the maximum values simulated and computes the Range Maximum Minimum Then for each simulated value X it assigns the X Mini Class Index INT A 4 0 5 Range where Int is the integer part of a real number The Frequency is then the number of times a Class index was simulated Other types of output graphs from multiple stochastic simulations are shown in Section 7 2 The table left of the graph in Figure 3 2 1 is the table appearance the work sheet NPV Output To get the graph the user must on her his own activate the Chart wizard of EXCEL In this case the production of the graph was straightforward In other cases the output of TEMAS may not match the wishes of the user the user will then need to do some pre processing of the output before the graph can be made Alternatively the user may modify the VISUAL BASIC code of TEMAS to make it produce a suitable output table 4 3 DETAILED BIOLOGICAL OUPUT FROM SINGLE SIMULATION TEMAS does not provide any facilit
116. the case where the vessel age distribution is ignored Figure 2 8 2 b shows an example woth vessel age distribution The explanation below EXCEL Table 5 4 1 says The number of vessels by vessel age group in first period of first year and number of investments number of recruiting vessels in first age group This is the input number of vessels Other table entries are labeled No value because they are derived from the input numbers Recall that fishing vessels are treated as fish stocks so that the input is sufficient to fill in the entire tables See the table Resulting number of vessels The explanation below EXCEL Table 5 4 2 says Multiplier to raise the number of new boats number of investments There is a multiplier for each period of each year 69 TEMAS Manual 18 February 2008 a CUE EE 1 Table 5 4 1 Ireland INITIAL VESSEL AGE DISTRIBUTION AND INVESTMENTS NEW VESSELS 2000 Per 1 Init 2000 2 2000 3 2000 Per 4 2001 Fer 2001 Fer 2001 Per 3 2001 Per 4 2002 35 Trawl Medium Age 1 Mew boats 3b Trawl Medium Age 2 Mew boats 37 Trawl Medium Age 3 Mew boats 38 Trawl Medium Age 4 Mew boats 33 Trawl Medium 5 Mew boats 40 Trawl Medium Age 6 Mew boats Trawl Medium T Mew boats Trawl Medium Age 8 Mew boats Trawl Medium Age 3 Mew boats 44 Trawl Medium Age 10 Mew boats Trawl Medium Age 11 Mew boats
117. this case the option to account for vessel ages 1s not used that is only one vessel age group is chosen One vessel age group does not mean that vessels are scrapped after one year but that all vessels are in a plus group 1 The option to account for vessel ages is mainly relevant when decommission programs are being investigated Usually it is easy to get the age distribution of vessels from vessel registers Table 2 4 12 creates templates for entry of fleet dimensions that is the number of fleet specific vessel size groups and number of gear riggings The number shown in Figure 2 4 12 are the maximum allowed values 3 vessel size groups and 3 riggings with the current TEMAS configuration 26 215 TEMAS Manual 18 February 2008 LI E F G H 12 13 Table 1 1 BASIC DIMENSIONS Table 1 2 STOCKS Tal 14 umber Age groups 15 of periods 16 Mumber of Stocks 17 lumber of Countries 18 Mumber af Areas 13 Mumber of Years 20 Fist Years 22 Table 1 5 1 1 Denmark FLEETS Table 1 5 1 2 Denmark FLEET DIMENSIONS 23 Age groups Number of vessel sizes Mumber of Riggings 24 Gilln en Trawl eb Other 2T 25 Table 1 5 2 1 Germany FLEETS Table 1 5 2 2 Germany FLEET DIMENSIONS 29 Age groups Mumber of Yessel sizes Number of Riggings 30 Gilln 31 Trawl ae Other 33 34 Table 1 5 3 1 Latvia FLEETS Table 1 5 3 2 Latvia FLEET DIMENSIONS Sj Age groups Number of Vezzel sizes Number of Riggings
118. to pressing the F9 key You give the commands to TEMAS by clicking on buttons in the User forms Cale Sheet Sheet Options E n executed by Transition Custom Lists Chart Color TEMAS_CALC i it should be kept in mind View Calculation Edit General that TEMAS does not ae P e computations wnen Automatic Manual calc Now you modify the content Like the input module the calculation module contains a main menu Figure 4 1 1 The main menus have the same basic layout but the main menu for to input module Figures 1 3 5 6 contains more option buttons than the main menu for calculations The calculation module contains only 6 menus see Figure 4 2 1 compared to the input module containing 25 menus see Table 4 2 1 162 TEMAS Manual 18 February 2008 Select Table Select Menu 001 Start Up Appears only when starting 002 Select simulation 003 Select Single simulation output 004 Tuning 005 Select Multiple simulation output 006 Main menu Figure 4 2 1 List of menus on the calculation module from the main menu for the calculation module Figure 4 1 1 1 4 Particulars about the author Rolf Willmann 6 Input Dimensions ofcasestudy Input No of boats 16 Select demonstration example Table 4 2 1 List of menus in the input module This can be achieved from the main menu of the input module see Figure 1 3 5 option
119. under forsegsordningen Statusrapport for 1 malear af moniteringsprojektet Lars M Svendsen Ole Sortkjaer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Skett Rasmussen og Anne Johanne Tang Dalsgaard Implementering af mere selektive og skansomme fiskerier konklusioner anbefalinger og perspektivering J Rasmus Nielsen Svend Erik Andersen Seren Eliasen Hans Frost Ole Jorgensen Carsten Krog Lone Grenbaek Kronbak Christoph Mathiesen Sten Munch Petersen Sten Sverdrup Jensen og Niels Vestergaard Okosystemmodel for Ringk bing Fjord skarvbestandens p virkning af fiskebestandene Anne Johanne Dalsgaard Villy Christensen Hanne Nicolajsen Anders Koed Josianne Stettrup Jane Grooss Thomas Bregnballe Henrik Lokke S rensen Jens Tang Christensen og Rasmus Nielsen Unders gelse af sammenh ngen mellem udviklingen af skarvkolonien ved Toftese og forekomsten af fladfiskeyngel i lborg Bugt Else Nielsen Josianne St ttrup Hanne Nicolajsen og Thomas Bregnballe Nr Nr Nr Nr 180 08 181 08 182 08 183 08 184 08 185 08 186 08 187 08 188 08 189 08 190 08 Kunstig reproduktion af l ROE II og IIB Jonna Tomkiewicz Henrik Jarlbaek Blamuslinge og stillehavsoestersbestandene i det danske Vadehav 2007 Per Sand Kristensen og Niels Jorgen Pihl Kongeaens Dambrug et modeldambrug under forsegsordningen Statusrapport for 2 malear af mon
120. understood by science As such phenomena do occur in reality and sometimes with catastrophic consequences for fisheries and ecosystem they are accounted for as exogenous impacts Thus RecTrend St y can take any value based on any assumption the user of TEMAS want to test EXCEL Table 2 3 land 2 Figure 2 5 5 a contain the initial stock numbers in each area for juveniles and adults respectively The initial stock numbers can be given as input or they Do you want to continue Yes or No can be computed by the program under the assumption of equilibrium and constant fishing mortality constant over age groups This 15 an option in the userform PRE PROCES SING OF STOCK INPUT which will be discussed below Figures 2 5 5 6 shows the input to a calculation of initial stock numbers and Figure 2 5 5 c shows the result of the calculation Table 2 3 1 STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 0 1 West Cod East cod West west Cod west Cod west Cod West Cad West Eastcod East cod Eastood East cod Baltic East Baltic Mot Baltic Bornholm Gotland Baltic East Baltic Mot Baltic Bornholm Gotland Age Per 1 7500 0 0 00 2400 00 Enter O group period 1 here For calculation of initial M E Bd Age 0 Per 2 Enter O group period 2 here for
121. y if TAC St y lt TAC St y 1 Max TAC St y TAC St y 1 L TACZ St y if TAC St gt TAC St y 1 The Fucr of is converted into TAC for the quota management regime by Eq D 4 3 3 1 a In practice it is often accepted that the TAC advised by ICES 15 exceeded With the acceptable exceed factor XR St y the inequality of Eq D 4 3 3 1 a becomes replaced by the weaker inequality because X 2 St y 1 0 Amar St TAC St y lt 51 gt C oa St y a w St y a The historical right relative to landings 15 defined as the historical overage shares of landings ARgt Fl Vs Rg Ct St y g Ar HR8t St y Ar RELARSt ong FL Vs Rg Ct St y q Ar and where y l HRgt a Fl Vs Rg Ct St y g Ar a Fl Vs Ct St y g Where is discount factor assigning lower values to years the longer in the past Therefore HFac lt 1 0 When HFac 1 0 all years have assigned the same Importance Note that RELHRgt _ St y g Ar 1 The general historical right with respect of measure X is HRgt FI Vs Rg Ct St y q Ar HRgt St 4 Ar RELHR t Fl Vs Rg Ct St Ar y l HRgt y FI Vs Rg Ct St y q Ar 2 X FLVs Rg Ct St y q Ar HFac u y Ny gis Note that RELHRgt e e e e St y Ar 1 12
122. you do not need to give effort as input The effort exerted the actual number of days at sea 1s a function of the effort entered in worksheet S04 EFFORT as well as the number of vessels boats entered worksheet S05 BOATS The number of vessels defines an upper limit for the number sea days that can be exerted The effort capacity of a vessel EYmax is the maximum number of fishing effort units fishing days or sea days that a fleet can exert in a time period It is given by the variable EYuaAx Fl Vs Ct q Ar The maximum physical number of effort units per vessel per time unit in Area Ar in worksheet S05 BOATS The total effort exerted by fleet FI Vs Ct during time period q is the sum over riggings and areas NU area Rg Fl E FI Vs e Ct 4 2 gt E FI Vs Ct y q Ar Ar Rg l According to the definition of EY max it is not dependent on the rigging We define the reference effort or the maximum effort by zpj FLVs Ct y q Ar NU 4 FLVs Ct y q o EY Fl Vs Ct y q Ar The number of vessels NU I Fl Vs Ct y q e are contained in worksheet 505 BOATS The reference effort is shown in EXCEL Table 4 1 Figure 2 7 2 The cell background in this table is white indicating that the values are not input but are the results of a calculation They are the product Number of Vessels Maximum number of days per period which are given in two tables in worksheet S05 BOATS se
123. 0 ojoe o o2 o2 0 05 02 03 ao Q3 of ojooz o o2 oi 0 1 0 0 o o2 021 0 05 0 02 03 110101001 o 067 o o2 jois 0 06 0 02 02 o os o 02 os i oo o o o o2 os ofo e o6 02 o o2 Tox A1 Q2 1 o o o of ojoez o o2 o o i o o 0 0 2 o2 0 os o 02 03 41 0 of 01047 0 0 2 013f ojo 0 06 o o2 021 0 05 0 02 03 ros fil of of of of 06 forf of of a2 1 0 0 0 0 0 i o of 0 0 0 1 0 0 0 06 o o2 02f o os ojo2 03 a3 i oo o of of 110 of o o oi o o 0 06 o 05 0 02 03 Aa 1 0 0 0 0 0 110 oy 0 0 0 1 0 0 0 02 02 olos 0 02 05 From Bornholm Gotland wie in e ia cof poof i 4114111 ofofo o of of of oj oo 1 of of of of of 1 91010 oj of o oo 1 of of ojoj of 1 ofofof of of i o o o oo 1 of of of of of 1 O o of o os o orjoo ojo rjojo o 1 of of 1 O o of o os 0 02 05 ojo of 1 of of ofo of 1 pol o of o 021 of of o oo 1 of of of of of 1 ojojojo o o o 04 o2f of ojo i of oj ofo of 1 pif o o o o oj 5 of olof 1 of of ofo of 1 as 1 0 0 0 0 0 o2 ojorzjois ojo rjojo oy o of if of of ojoy of 1 Table 2 5 3 Migration coefficien
124. 0 2080 2000 1800 8 1700 8 1650 4 985 60 65280 48640 24220 Vessel subsidy 40 130125 112 55 106 30 10345 61 600 40 800 30 400 15 200 5 M cash Flow 29554 15208 8818 0 7060 5 7H82 72554 63728 78453 3847 2 77710 MP V cash Flow 4500 5 Table 1 8 FINANCIAL ANALYSIS OF GOVERNMENT TREASURY ALL FLEET 2000 2001 2002 2003 2004 2005 2006 2007 2008 2003 Tantboatiur 0 0 0 0 0 0 0 0 0 0 Subsidiesiboatsiyr 0 0 0 0 0 0 0 0 0 0 Wessel Diecorm Crew Decomm D D D D D D D D D D Management C 30 30 30 30 3 230 3 B Effort tax 12323 12045 158 2 10428 884 31 35572 57075 37803 28167 140 83 137 Effort Subsidy 82153 803 77242 695 21 656 61 63745 38050 25202 187 78 33 883 Licence Fee 2240 2080 2000 1800 8 17008 1650 4 985 60 65280 48640 24220 Vessel subsidy 40 3 125 112 55 106 30 10345 61 600 40 800 30 400 15 200 Revenue tas 3493 3 25285 2067 3 18070 17349 1705 2 146 0 385 85 385 00 670 70 141 N oash Flow 5874 6 4850 0 4299 0 3812 9 36277 35410 22302 16824 1504 9 915 64 M P cash Flow 1559 1 Table 1 9 ECONOMIC ANALYSIS ALL FLEETS Deterministic 2000 2001 2002 2003 2004 2005 2006 2007 2008 2003 Gross revenue 63977 50568 41358 36140 34637 34104 22919 19717 13700 13414 Cast of effort 3242 2 90338 86863 78215 73878 71683 4280 6 28352 2112 5 1056 3 Cast of landings 76 253 55 572 46 081 40532 38 345 38461 25 592 21325
125. 01 Fer 000 Per 2000 Per 1 TT Fer 3 2000 Fer A 2001 Fer 3 2001 Fer A 2002 Fer 3 2002 4 West Baltic East Baltic Baltic Bornholm Small Gotland Medium west Baltic Medium East Baltic Medium Mot Baltic Small Small Small Small M 4 k mf S03 FLEET Z Ark2 Ark3 S04 EFFORT 505 BOATS lt Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan LN CHE E 1l 2000 Fer 3 NON AREA 2000 2001 4 Fer cet V size 2002 2002 Feri Ferz ane 4 2 j 2000 2000 Feri Ferz for all 2001 2001 2 Fer3 ountry 2001 4 2002 Fer 3 2002 4 West Baltic East Baltic Mat Baltic Small Bornholm Small Gotland Medium west Baltic Medium East Baltic Medium Mot Baltic Medium Bornholm Medium Gotland Small Small Small M 4 gt S03 FLEET Z Ark2 Ark3 S04 EFFORT 505 BOATS lt Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan OB Trawler Baltistan OB Trawler Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltista
126. 01 DIM Arki 502 STOCK 503 FLEET 3 504 EFFORT Z 505 BOATS Z 5 lt Figure 2 7 2 Reference effort The explanation below the tables says This is the efforts values Jrom which all other effort values are obtained by multiplication by the effort multipliers and the distribution They equal the capacity which is defined as Capacity Number of Vessels Maximum number of days per period m 5 NN ES Hol EN w KE s Beas E Table 4 2 EFFORT DISTRIBUTION ON AREAS for all Country Fleet V Size 7000 2000 2000 2000 2001 2001 2001 2001 2002 20 Fer 1 2 Fer 3 4 Fer 1 Fer z Fer 3 4 Per Baltistan OB Trawler Baltistan Small west Baltic Baltistan QE Trawler Baltistan Small East Baltic Baltistan OB Trawler Baltistan Small Mot Baltic Baltistan QE Trawler Baltistan Small Bornholm Baltistan OB Trawler Baltistan Small Gotland Baltistan OB Trawler Baltistan west Baltic Baltistan Trawler Baltistan Medium East Baltic Baltistan Trawler Baltistan Medium Mot Baltic Baltistan Trawler Baltistan Medium Eornholm _ 43 Baltistan OB Trawler Baltistan Medium Gotland Baltistan OB Trawler Baltistan Large west Baltic Baltistan QE Trawler Baltistan Large East Baltic Baltistan OB Trawler Baltistan Large Mot Baltic Baltistan OB Trawler Baltistan Large Bornholm Baltistan
127. 02 0 026787 4 37E 02 3 53E 03 3 8 02 0 01433 3 86E 02 2 32 02 2 42E 02 2 16 02 5 28E 03 3 8B5E 07 5h 25E 04 03 4 40E 02 2 57E 02 4 32E 02 4 57 02 2 8 02 2 02 1 33E 03 0 03603 1 53E 02 1 37E 03 L48E 02 2 05E 02 2 02 2 27 02 3 82E 03 2001 2 2 68E 02 2 23E 02 1 54E 2 02 02 0 02595 07E 02 1 35E 07 3 f6E 02 0 01971 4 83E 07 1 41 02 5 84E 03 0 0202 6 01E 03 4 02 4 16 02 4 00E 02 2 02 02 3 06E 02 1 53E 02 1 56 02 2 81 02 4 02 4 31E 02 0 01754 b 62 03 4 42E 07 2 49E 02 4 8 2 4 40E 02 3 16E 02 11 02 5 83E 04 4 7fE 02 2 8 02 4 75E 02 4 52E 02 3 06 02 5 93 03 1 693 02 0 016512 3 87E 02 4_73E 02 2 09 03 4 35E 02 2 55E 02 2 56E 02 4 34E 02 2 22 02 4 02 5 52E 03 55 03 1 02 2 46 02 4 37E 02 2 55E 07 0 037133 4 2 2001 F 1 44 1 62 1 85 5 60 0 0 416 4 86 5 13 4 41 4 03 1 43 4 55 3 05 3 54 1 31 3 13 155 1 04 1 16 3 08 4 88 2 69 T 93 0 02 1 83 0 0 3 94 1 16 2 65 2 2 135 0 0 2 63 1 27 2 09 4 27 amp 57 134 2 32 128 6 42 4 86 1 62 3 67 3 11 0 0 2 3 3 61 4 47 2 66 5 57 2 45 2174 1 09 183 2 10 3 11 3 83 3 12 Table 2 11 1 shows that there 15 a table for each country Table 2 11
128. 06 115 2734 124 1175 137 1825 9 3375 2001 Fer 3 97 9375 113 0625 137 0454 164 4546 186 6429 215 3572 236 4706 266 0294 286 425 316 575 38 10625 48 33375 59 38636 1 26365 20 37257 33 32143 102 4706 115 2734 124 1175 137 1825 o T3375 2001 Fer A 33 8 120 6 146 1818 175 4182 133 0857 229 7143 202 2353 2837647 305 52 337 68 38 10525 45 99375 53 38536 71 26365 20 87857 93 32143 102 4706 115 2734 124 1175 137 1825 5 8625 2002 Fer 1 2002 2 33 8 120 6 146 1818 175 4182 199 0857 228 7143 252 2353 2837647 305 52 337 68 38 10625 48 33375 59 38636 71 26365 S 87857 33 32143 102 4706 115 2794 124 1175 137 1825 5 0625 Figure 2 7 9 a shows the user form for pre processing of effort input Figure 2 7 9 6 shows examples of the three options for pre processing Option 1 makes the data equal from year to year but allow for variations between periods Option 2 makes data equal for all periods but allow for variations between years Option 3 makes the multipliers equal and 1 0 for all periods and years 63 Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OE Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OE Trawler Baltistan OB Trawler Baltistan TEMAS Manual 18 February 2008 7002 2 T2 Fer 1 2001 Pern 20
129. 0mm 1 0 3 0 6 0 85 1 0 5 0 6 0 35 218 west Cod Gillnett Baltistan Small gt 110mm 1 0 9 0 6 0 85 1 0 9 0 6 0 25 213 west Cod Gillnett Baltistan Medium 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 25 220 west Cod Gillnett Baltistan Medium gt Tl rnm 1 0 3 0 6 0 85 1 0 9 0 6 0 25 221 west Cod Gillnett Baltistan Large Tl rmm 1 0 3 0 6 0 85 1 0 5 0 6 0 35 222 west Cod Gillnett Baltistan Large gt 110mm 1 0 3 0 6 0 85 1 0 9 0 6 0 35 223 East cod OB Trawler Baltistan Small 110mm 1 0 3 0 6 0 85 1 0 5 0 6 0 35 224 East cod OB Trawler Baltistan Small gt 110mm 1 0 9 0 6 0 85 1 0 9 0 6 0 25 East cod OB Trawler Baltistan Medium lt 110mm 1 35 8h 1 0 9 0 6 0 25 226 East cod Trawler Baltistan Medium gt 1 0 3 0 6 0 85 1 0 9 0 6 0 25 227 East cod OB Trawler Baltistan Large 11 1 0 3 0 6 0 85 1 0 9 0 6 0 88 220 East cod DE Trawler Baltistan Large gt 110mm 1 0 3 0 6 0 85 1 0 9 0 6 0 25 229 East cad Gillnett Baltistan Small lt 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 35 230 East cod Gillnett Baltistan Small gt 110mm 1 0 5 0 6 0 85 1 0 9 0 6 0 35 231 East cod Gillnett Baltistan Medium 110mm 1 0 3 0 6 0 85 1 0 9 0 6 0 35 232 East cad Gillnett Ealristan Medium gt 110mm 1 0 5 0 6 0 85 1 0 9 0 6 0 35 233 East cod Gillnett Baltistan Large lt 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 35 234 East cod Gillmett Baltistan
130. 1 Tas on operating cost west Baltic on operating cost East Baltic B Tax on operating cost Mot Baltic on operating cost Bornholm B an operating cost Gotland Subsidy on operating cost west Baltic Subsidy on operating cost East Baltic Subsidy on operating cost Mot Baltic Subsidy on operating cost Bornholm Subsidy on operating cost Gotland E Revenue tax rate West Baltic BE Revenue tax rate East Baltic B Revenue tas rate Mot Baltic B Revenue tax rate Bornholm B Revenue tas rate Gotland E Licenze fee B Decommission crew BE Total vessel decommission Age 1 M 506 PRICES X507 ECONOMY 508 TRIP Fieuwe 2 10 3 a Variable costs and fixed costs of three economic models continued The parameters in EXCEL Table 7 2 1 1 1 are Economic model A Financial analysis of fleets Financial operating costs of handling Figure 2 10 3 a COR FLVs Rg Ct y q Ar Cost rate cost per weight unit depending on the yield Financial crew salary Figure 2 10 3 a Rg Ct y q salary per unit of effort Financial operating costs of harvesting Figure 2 10 3 a COR Fl Vs Rg Ct y q Ar Cost rate cost per effort unit depending on the effort in area Ar Financial operating costs of landings Figure 2 10 3 a 83 EM TEMAS Manual 18 February 2008 COR FI Vs Rg Ct y q Cost rate cos
131. 1 26 24 17 14 12 0 7 3 1 17 12 11 12 13 12 0 7 0 6 0 5 0 3 i T2 0 8 0 5 0 5 0 6 0 6 0 5 0 3 0 3 0 3 0 2 i3 0 4 0 2 0 2 0 3 0 3 0 3 0 2 0 1 0 1 0 1 T4 0 2 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 0 1 4 Ti 0 1 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 0 0 Tz 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 T3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 682 T4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 Total 1 258 2567 274 243 210 134 118 27 7 2 4 0 70 T2 285 36 3156 286 231 28 137 9 3 21 47 T3 295 328 334 274 228 228 106 87 5 1 703 T4 255 235 294 240 22 204 135 3 8 81 43 704 TEMAS Manual 18 February 2008 Ecc al bI Stock Output Fleet Dutput 14 4 b MA Stock Output Fleet Figure 3 3 4 Stock Fleet and area specific annual output from worksheet Out Area 153 0 091 Output Summary ukpa E 14 sassa 12 Trawler catching Cod CATCH NUMBERS In shore Deterministic KE Agel ear JAF CUHS CHHG SAAT ZAS JAE C r CHEN 0 6 8 1052 99 5 735 69 5 41 0 28 7 24 4 14 0 1 593 3 T652 581 60435 5262 b b3 324300 2266 1820 1065 KUN z 2 5818 5453 5284 5358 4874 34 2553 21307 1221 3 2718 23385 2538 2785 2512 1565 1545 1330 20 5 4 253 3 15958 104 5 90 2 10 8 122 0 75 4 b2 4 47 6 5 153 7 96 5 61 0 33 1 31 3 47 0 36 6 24 3 30 7 23 7 33 2 5a 35 3 228 15 2 16 2 14 1 14 5 14 7 10 3 T 55 35 5 22 4 12 8 9 4 r 1 3 5 6 5 2 8 24 3 34 5 26
132. 1 This will create the remaining system input tables 12 STEP 2 3 13 Table 1 1 BASIC DIMENSIONS Table 1 2 STOCKS Table 1 3 COUNTRIES Table 1 4 AREAS Number 14 Mumber Mame of stock Age groups of Countr of Fleets of 15 Number of periods 1 Mumber of Stocks Tr Number af Countries 18 Number of Areas 18 Number of Years 20 Fist Years 23 DIMENSIONS NEW CASE STUDY STEP 3 A Please enter names of stocks countries and areas 27 STEP 4 28 23 of Fleet Cancel Marne of Fleet 30 1 31 2 32 3 3 3 Figure 2 4 8 Starting up a new case study with TEMAS Step 3 Entry of names of stocks countries and areas You are now expected to overwrite the standard names as illustrated by Figure 2 4 9 This is step 3 in the procedure Together with the names of stocks you must specify the number of age groups and together with the names of countries you must specify the number of fleets in each country Note that the last name in each Table represents Other Thereby we include all species all countries and all areas of the world in the groupings This inclusion of all landings in all areas by all countries 1s appropriate when modelling the economics and the behaviour of fishing fleets 24 FEM TEMAS Manual 18 February 2008 STEP 3 Table 1 2 STOCKS Table 1 3 COUNTRIES Table 1 4 AREAS Humber of stock Age groups Mame of Countr of Fleets Mam
133. 101 4 vessel Decommission Age T 102 4 vessel Decommission Age 8 103 4 vessel Decommission Age 104 4 vessel Decommission Age 10 105 Vessel Decommission Age 106 vessel Decommission Age 12 107 Vessel Decommission Age 13 108 B Tax on operating cost South area 1039 E on operating cost Morth area 110 B Subsidy on operating cost South area m E Subsidy operating cast Morth area M 4 k HX507 ECONOMY 508 TRIP RU 509 STRUC RU amp al _ Figure 2 10 3 c Example with vessel age specific decommission fee The decommission in Figure 2 10 3 a line 46 is for only one vessel age group because vessel age are ignored in that example mms mm Economic model C Economic model for the Society Fl Vs Rg Ct y q Ar Economic Cost rate cost per weight unit depending on the yield Financial crew salary Figure 2 10 3 b COR F1 Vs Rg Ct y q salary per unit of effort Financial operating costs of harvesting Figure 2 10 3 b FL Vs Rg Ct y g Ar Economic Cost rate depending on the effort in area Ar Financial operating costs of landings Figure 2 10 3 b COR Fl Vs Rg Ct y q Economic Cost rate depending on the value of landings COR F1 Vs Ct y q Opportunity cost rate per crew member per period Oprtunity 85 TEMAS Manual 18 February 2008 SEB 969 969 ari ore CES 974 orb
134. 10mm West Baltic 110mm East Baltic lt 10mm East Baltic gt 110mm Baltic lt Baltic gt 110mm Bormholm lt Bormholm gt H mm Gotland lt 110mm Gotland 110mm Small Small Small Small Small Small Small Small Small Small OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan 424 Baltistan OB Trawler Baltistan we c Table 4 6 EFFORT MULTIPLIERS Country Fleet V Size Area Rig 2000 Fer 1 2000 Fer z 2000 Fer 3 2000 4 21001 Fer 1 2001 Fer z 2001 F er 3 2001 West Baltic lt West Baltic gt East Baltic lt 110mm East Baltic gt 110mm Baltic lt 110mm Baltic gt 110mm Bornholm lt Bornholm Ti rnm Gotland lt 110mm Trawler Baltistan Small Trawler Baltistan Small Trawler Baltistan Small Trawler Baltiztan Small Trawler Baltistan Small Trawler Baltistan Small Trawler Baltistan Small Trawler Baltiztan Small Baltistan OB Trawler Baltistan Small 3 Trawler Baltistan Small Gotland gt M 4 k M S03 FLEET
135. 2 EM TEMAS Manual 18 February 2008 Table 15 2 1 1 RELATIVE STABILITY HARVEST CONTROL RULES West Cod West Baltic S 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2005 2 1 Ferz Fens Fert Perl Ferz Pers Pert Fert Pere Ferns Fed Baltistan Scandinavia Fielatiue stability For TAC allocation between fleets If the proportion of a TAC allocated to fleet remains constant I ah M q k M 513_TABLES 514 TEMAS 5619 Stock lt wi gt Figure 2 16 2 Relative stability for one combination of stock and area The comment below the table says Relative stability for TAC allocation between fleets If the proportion of a TAC allocated to a fleet remains constant from year to year it is called relative stability The parameters of this tables gives the proportions of an area specific TAC for a given stock A TAC share is given by a vessel size of a fleet of a country Thus the index of relative stability is Fleet vessel size country stock area The current version of TEMAS has three X From the basic definition with all indices in use options 1 X Landings 2 X Value of landings 3 X Effort in this case index St is omitted various aggregated historical rights can be defined The present version of TEMAS contains the following options aggregated historical rights X Landings and Value of landings RELHRsgt Fl Vs Rg Ct St y q e RELHRgt Fl Vs
136. 2 03 4 8 02 0 011188 B amp 58E 03 1 03E 2 2 51E 02 4 65E 02 4 41E 02 2 86 02 3 86E 02 0 014366 2 566 02 1 8 02 3 06E 02 2 63E 02 4 02 1 03E 2 J 85E 2 2 2 02 04 3 06 02 1 33E 2 4 33E 07 2 20E 02 4 00E 02 4 02 2 8 7TE 03 igure2 11 3 b The RUM table for one trip behaviour of one country 2000 Per 4 0 00791 0 03 2 8 02 3 00 02 2 1 02 2 8 02 2 02 5 T3E 03 1L23E 02 8 04 4 02 3 8 02 3 8 02 2 2 0 027535 3 A0E 07 4 03 2 13 03 0 01677 4 34E 02 3 30E 07 4 02 4 1 02 3 12E 04 5 05E 03 2 8 0 9 70E 03 4 83 02 3 59 02 4 02 02 4 7 02 4 02 8 0 1 53E 02 0 036 3 31 02 2 06 02 0 04 7117 1 74 02 0 014552 1 29 03 5 43E 03 3 02 4 4 02 4 24 02 3 15E 02 2 55E 02 4 5TE 2 2 4 0 2 04 02 4 82 02 3 61E 02 4 33E 02 2 85E 02 4 53E 02 4 40E 02 0 3 30 02 4 4 02 2 64 02 2001 Per 1 7 HE 03 1 7 7E 02 1 38E 2 1 32 02 2 82 02 8 45E 03 4 4 02 2 65E 02 2 41 02 3 56 02 5 35E 03 0 02876 4 04 5 47 03 07E 02 f 60E 07 110 02 2 02 3 20 02 3 8 02 02 6 65E 07 3 11E 02 3 26 02 2 3 02 J TIE 02 4 14 02 2 8 02 137E 02 3 87 02 2 41 02 3 01E
137. 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 Age 3 Area west Baltic 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 12 0 2 12 0 2 0 2 Age 4 Area west Baltic 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 02 Age 1 1 Area west Baltic 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 Age 1 2 Area west Baltic 0 2 0 2 0 2 0 2 0 2 0 2 0 2 12 0 2 12 0 2 12 0 2 02 Age 1 3 Area west Baltic 0 2 0 2 0 2 0 2 0 2 12 0 2 0 2 0 2 12 0 2 0 2 0 2 02 Age 1 4 Area west Baltic 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 Age 2 Fer 1 Area west Baltic 0 2 Mo Mo Yal No Yal 0 2 Mo No Yal No Yal 0 2 Mo No Yal No Yal 0 2 No Age 2 2 Area West Baltic Wal 0 2 Mo Yal Mo Yal Mo Val 02 Mo Val Mo Yal Mo Val 02 Mo Val Mo Mo Yal Age 2 Per 3 Area West Baltic Wal Mo Yal 0 2 Mo No No Yal 0 2 Mo Mo Yal No 0 2 Mo No Yal No Age 2 4 Area West Baltic Wal Mo Wal Mo Yal 0 2 Yal No Yal No Val 02 Mo Yal Mo Mo Val 02 Mo Yal Mo Age 3FPer 1 Area west Baltic 02 Mo Yal Mo Val Mo Val 0 2 No Yal Mo Val Mo 0 2 No Yal Mo Val Mo Val 0 2 Mo Age 3Per 2 Area West Baltic Wal 0 2 Mo Yal Mo Yal Mo Yal 02 Mo Val Mo Yal Mo Val 02 Mo Val Mo Mo Val Age 3Per 3 Area West Baltic Wal Mo Yal 02 Mo Mo No Yal 0 2 Mo Mo Yal No Yal 0 2 Mo Yal Mo Yal No Age 3 4 Area West Baltic Val Mo Val Mo al 0 2 Mo No Yal Mo Ya
138. 2 52 hi 50 50 50 43 48 48 48 47 46 46 Trawl Large gt 110mm 48 47 47 46 46 45 45 44 44 43 43 42 42 Gill net Small lt 120mm 46 45 44 44 44 43 42 42 42 41 40 40 40 Gill net Small gt 120mm 41 41 40 39 39 39 3 af af af 36 35 35 Gill net Large lt 120mm 339 38 38 37 37 36 35 35 34 34 33 33 Gill net Large gt 120mm 34 34 33 33 ae 32 31 3 1 30 0 29 29 28 Maximum number of sea days given by regulation Table 14 2 2 1 2 2 Baltistan East Baltic SEASONAL CLOSURE BY REGULATION Fleet V Size Rig Country Area Regime 2 2000 Ferd 2000 2 2000 3 2000 4 2001Per1 2001Per2 2001 3 2001 4 2002 Peri 2002 2 2002 2 2002 4 2003 Perd 2003 Trawl Small lt 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Trawl Small gt 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Trawl Large lt H mm 1 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Trawl Large H mm 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Gill net Small lt 120mm 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Gill net Small gt 120mm 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Gill net Large lt 120mm 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Gill net Large gt 120mm 1 0 25 0 25 1 1 0 25 0 25 1 1 0 25 0 25 1 1 0 Fraction of sea days given by regulation lust be in interval 0 1 Total closure of entire period closure 02241 closed in t
139. 223 743 223 7143 22 Baltistan OB Trawler Baltistan Small Bornholm H mm 236 4708 236 4706 2353708 2353705 236 4706 236 4706 2354705 2522353 2522353 25 Baltistan OB Trawler Baltistan Small Bornholm gt 266 0294 266 0294 266 0294 266 0294 266 0294 266 0294 255 0234 2837547 283 7647 28 Baltistan OB Trawler Baltistan Small Gotland lt 110mm 266 425 286 425 2856425 285425 286425 286425 285425 305 52 305 52 Baltistan Trawler Baltistan Small Gotland Tl rnrn 316 975 MET 318 575 MEDS 318 575 16 5768 MESTE 327 58 337 68 Baltistan Trawler Baltistan Medium west Baltic lt 38525 38 10625 3910625 3810625 3810625 3210625 3510525 38910625 38 10625 38 Baltistan Trawler Baltistan Medium west Baltic gt Ti rmmm 48 333 5 48 332375 42 339375 42 393375 42 333275 4233375 42 33375 4539375 485 39375 45 Baltistan Trawler Baltistan Medium East Baltic H mm 53 585565 53 59536 53 55536 5335655 5323865556 5323986536 59 38636 5932365365 5323556526 53 Baltistan OB Trawler Baltistan Medium East Baltic gt H mm 71 26365 71262365 71 26365 7126365 71 26365 71 26365 7126365 7126365 7126365 71 Baltistan OB Trawler Baltistan Medium Mot Baltic lt 110mm 80 87857 80 878571 20 87257 80 87857 20 87257 00 87857 20 97257 20 57957 20 87557 80 Baltistan OB Trawler Baltistan Medium Mat Baltic gt 3332183 3320243 333243 38323283 3332183 33324
140. 3 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 EXCEL Table Table14 2 1 1 1 1 Table14 2 1 1 1 2 Table14 2 1 1 2 1 Table14 2 1 1 2 2 Table14 2 1 1 3 1 Table14 2 1 1 3 2 Table14 2 1 1 4 1 Table14 2 1 1 4 2 Table14 2 1 1 5 1 Table14 2 1 1 5 2 Table14 2 1 2 1 1 Table14 2 1 2 1 2 Table14 2 1 2 2 1 Table14 2 1 2 2 2 Table14 2 1 2 3 1 Table14 2 1 2 3 2 Table14 2 1 2 4 1 Table14 2 1 2 4 2 Table14 2 1 2 5 1 Table14 2 1 2 5 2 Table14 2 2 1 1 1 Table14 2 2 1 1 2 Table14 2 2 1 2 1 Table14 2 2 1 2 2 Table14 2 2 1 3 1 Table14 2 2 1 3 2 Table14 2 2 1 4 1 Table14 2 2 1 4 2 Table14 2 2 1 5 1 Table14 2 2 1 5 2 Table14 2 2 2 1 1 Table14 2 2 2 1 2 Table14 2 2 2 2 1 Table14 2 2 2 2 2 Table14 2 2 2 3 1 Table14 2 2 2 3 2 Table14 2 2 2 4 1 Table14 2 2 2 4 2 Table14 2 2 2 5 1 TEMAS Manual 18 February 2008 Caption Baltistan West Baltic MAXIMUM NUMBER OF SEA DAYS Regime 1 Baltistan West Baltic SEASONAL CLOSURE Regime 1 Baltistan East Baltic MAXIMUM NUMBER OF SEA DAYS Regime 1 Baltistan East Baltic SEASONAL CLOSURE Regime 1 Baltistan Bornholm MAXIMUM NUMBER OF SEA DAYS Regime 1 Baltistan Bornholm SEASONAL CLOSURE Regime 1 Baltistan Gotland MAXIMUM NUMBER OF SEA DAYS Regime 1 Baltistan Gotland SEASONAL CLOSURE Regime 1 Baltistan Not Baltic MAXIMUM NUMBER OF SEA DAYS Reg
141. 3 Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY Length Not Used 2000 1 2000 2000 2000 2001 2001 2001 en 2002 2002 2002 2002 2003 2003 2003 Initial Ferz Fers Pert 1 Ferz Peres Pert Feri Ferz Pens Pert 1 Peng Pers OB Trawler Ealrisran Small e ra ra en 32b Maximum allowable total value of characteritics Length Used Table 5 5 1 Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS COUNTRY AND FLEET Length Na 2000 Ferd 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 330 Initial Pere Pers Perd Ped Pens Ped Perg Pers Pend Perdi Pere Per3 331 Trawler Baltistan 332 Gillnett Exaltistan 333 Maximum allowable total value of characteristics Length oo ol t Table 5 5 5 Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY FLEET AND VESSEL SIA 2000 1 2000 2000 2000 2001 2001 2001 21001 21002 2002 2002 2002 2003 2003 2003 Initial Pere Fera 4 1 2 Fer 4 Fer Pere Pera 4 1 Ferz Pers r2 cna 0d CTI 338 OB Trawler Baltistan Small 333 Trawler Baltistan Medium 340 OB Trawler Baltistan Large 341 Gillnett Baltistan Small 342 Gillnett Baltistan Medium 343 Gillnett Baltistan Large Maximum allowable total value of characteristics Length Mot Used 245
142. 3 EXCEL Table 6 2 2 Se RE Se 1 INPUT RELATED TO PRICES RUN INFORMATION Date of this run 11 05 2007 11 59 of Run Param Created 12 00 00 AM 00 00 File DEMON 5 Mig Prices given as product of Absolute price and Relative price Absolute price referes to the the maximum price amongst age groups slanirriuir Table 6 2 1 Baltistan MAXIMUM PRICE OVER AGE GROUPS 2000 Ferd 2000 2 2000 2 2000Per4 2 001Peri1 2001Per2 2001Per3 2001Per4 2002 Ferd 2002Per2 2002 15 West Cod Trawler Baltistan Small 15 West Cod OB Trawler Baltistan Medium 16 West Cod OB Trawler Baltistan Large 1 West Cod Gillnett Baltistan Small West Cod Gillnett Baltistan Medium West Cod Gillnett Baltistan Large z East cod OB Trawler Baltistan Small 21 East cod OB Trawler Baltistan Medium 22 East cod OB Trawler Baltistan Large East ood Gillnett Baltistan Small 24 East cod Gillmett Baltistan Medium East end Gillnett Baltistan Large Masimum price over groups Parameter in the model of price Formation Absolute price Price Mani SIE Ts Landings s M 4 hk M Boats 4 505 BOATS 5506 PRICES 507 ECONOMY Z 508 TRIP RL lt TT y Figure 2 9 2 Maximum price over age groups The explanation above the EXCEL table says
143. 3 3322843 3320143 982332143 33 Baltistan OB Trawler Baltistan Medium Bornholm H mm 102 4708 1023706 1023705 1024706 102 4706 1024706 102 4706 102 4706 1024706 10 Baltistan Trawler Baltistan Medium Bornholm gt 15 234 115 2794 115 2734 115 2734 118 2794 115 2734 115 2734 15 2794 115 2734 11 Baltistan CIE Trawler Baltistan Medium Gotland Ti rnm 124 115 1241175 1243155 124 075 1241175 124 1175 124 75 1241175 1241175 1 514 Baltistan Trawler Baltistan Medium Gotland gt Tl rnm 1371825 13714825 1371825 1371825 1374825 1371825 1371825 1374825 1374825 13 315 Baltistan OB Trawler Baltistan Large west Baltic lt 110mm 9 793759 8 79375 8 79375 8 79375 9 793759 8 79375 8 79375 5 8625 5 8625 316 Baltistan OB Trawler Baltistan Large west Baltic gt 130625 1 30625 1 30625 1130625 1 30625 1 30625 1 30625 5375 5375 M 4 k M S03 FLEET Ark2 S04 EFFORT 505 BOATS 506 PRICES lt mm gt Figure 2 7 6 Resulting effort distribution on riggings and areas Explanation below EXCEL table Calculated from the effort by area by Ref Effort Ct Vs Ar Rig Rig Distribution Ct Fl Vs Area Rig Ref Effort Ct Fl Vs Ar B E D 418 Table 4 6 EFFORT MULTIPLIERS Country Fleet V Size Area Rig 2000 Fer 1 2000 Fer z 2000 F er 3 2000 4 2001 Fer 1 2001 Fer z 2001 F er 3 2001 West Baltic lt 7
144. 3 5 3 The results in worksheet Output is derived from the results in worksheet Stochastic Output by the formula CX Net Value NPV y First Year y First Year 1 T r Thus the detailed results are shown in Stochastic Output and the summary results in NPV Output The output from multiple stochastic simulations only shows time series of a few selected key results and their net present values stochastic simulation is also discussed in Section 7 The annual output is given in the form of a frequency distribution for each year as illustrated by the example in Table 3 5 1 which shows the time series of frequencies of 500 simulations of the Cash Flow of Harvesting for a selected fleet The row Class low lim Lower limit of class interval divides the range of output values in interval of equal length The sum of the table entries in each year row is 500 The number in each row gives the number of simulation where the result felt in the interval in question For example in year 2000 there were 54 simulations which gave a Total cash flow in the interval from 165 to 192 The graph shown in Figure 3 2 1 is derived from two tables like Table 3 5 1 one for each fleet From table 3 5 1 one could make 13 graphs In Figure 3 2 1 the 13 graphs has been combined into one single graph by computing the net present value of all net cash flows of 13 years Table 3 5 2 presents a complete list
145. 3 a shows the structure of each country table which is structured by fleet and vessel size FI Vs for each FI Vs input parameters are organice by rule Table 2 11 3 b shows that for each FL Vs the input data coefficient in the utility fubction for each rule are organized by characteristics Pi r and attributes J 91 TEMAS Manual 18 February 2008 As already explained TEMAS offers two alternative ways of setting effort and capacity namely to let it be determined by the behaviour rules or to let it be given as input from the worksheet If the effort capacity is determined by the behaviour rules then the age distribution of vessels input data is not used by TEMAS The initial age distribution first line in Table 5 2 1 in Figure 2 8 2 however is used 1n both options for effort input Figure 2 11 4 shows the form used to start up the simulation in workbook TEMAS CALC This user form contains a toggle button which allows the use to toggle between the two options for input of effort and fleet capacity Use Effort Capacity rules to generate effort and Use Effort and Capacity read from worksheet as input The remaining options offered the user form of Figure 2 11 4 will be further discussed below SELECT SIMULATION TYPE SELECT SIMULATION TYPE B 1 Scientific advice No scientific advice 1 Scientific advice No scientific advice First single simulati
146. 4 Table 2 3 2 STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 2 west Cod East cod West West Cod West West Cod WestCod west East cod Eastood Eastood East cod Baltic East Baltic Mot Baltic Bornholm Gotland Baltic East Baltic Mot Baltic Bornholm Gotland Figure 2 5 5 c Result of the calculation with input from Figure 2 5 5 b The calculations are straight forward and are done in first quarter of first year as 1f it was over a time span of amax St years A B CEC D G amp amp Table 2 4 1 WEIGHTING FACTORS FOR MEAN CALCULATION Age 0 1 West Cod East cod TU Age Fer 1 Age Per 2 T2 Age 0 Per 3 73 Age 0 Per 4 74 Age 1 T5 Age 1 76 Age 1 T Age 1 Table 2 4 2 WEIGHTING FACTORS FOR MEAN F CALCULATION Age 2 west Cod East cod M 4 k HN 501 DIM 5502 STOCK 503 41 94 41 EM TEMAS Manual 18 February 2008 Figure 2 5 6 Sixth part of stock parameters Weighting factors for calculation of mean F Figure 2 5 6 EXCEL Tables 2 4 1 and 2 show the weighting factors WF in the calculation of stock mean F 57 F St a WF St a St 2 9 PF ean 51 gt WF St a a 0 These weighting factors can be used to compute the traditional mean F as presented by ICES Working Groups with WF St a 1 or 0 The example above corresponds to the ICES concept of FMean 2 4 Figures 2
147. 46 Trawl Medium Age 12 Mew boats Trawl Medium Age 13 Mew boats 48 Trawl Large Age 1 Mew boats Large Age 2 Mew boats Large Age 3 Mew boats Large Age 4 Mew boats Large Age 5 Mew boats Large Age Mew boats Large Age 7 Mew boats Large Age 8 Mew boats Large Age 3 Mew boats Large Age 10 Mew boats Large Age 11 Mew boats Large Age 12 boats Large Age 13 Mew boats amp Gill netter Small 1 Mew boats B2 Gill netter Small Age 2 Mew boats 63 Gill netter Small Age 3 Mew boats 64 Gill netter Small Age 4 Mew boats Gill netter Small Age 5 Mew boats E Gill netter Small Age 6 Mew boats ET ill maktar er ll mas TY M 4 k Mf Ak S04 EFFORT 9505 BDATS 506 PRICES 507 ECONOMY lt Figure 2 8 2 b Initial number of vessels and number of new vessels in with vessel age distribution EXCEL Table 5 3 contains the overall multiplier for new boats The number of new vessels investments is created from a reference number multiplied by a Multiplier FLVs Ct y q 0 X 5 X 1 E Vs Cr y jk NU FLVs Ct New Vessels The multiplier is composed of two factors where the first factor is independent 2 EXCEL Table 5 3 and applies to all fleets all time periods whereas the second factor depends on fleet and time period 9 FL Vs Ct y EXCEL Table 5 4 2 Figure 2 8 2 a EXCEL Table 5 4 1
148. 5 7 a c EXCEL Tables 2 5 1 4 show the migration coefficients The full set of migration coefficients for one species Eastern cod is presented in Table 2 5 3 as an example The migration is modelled in a time discrete manner a Migration takes place at the end of each time period and the process of migration takes zero time b During a time period the fish shrimps are assumed to be homogeneously distributed within the area The Migration Coefficient MC from area A to area B 1s defined as the fraction of the animals in area A which moves to area B In this definition the movements include the move from area to area A 1 the event that the animal does not move The migration coefficient depends on or has the indices FAr Starting area TAr Destination area Note that the sum of migration coefficients over destination areas always becomes 1 0 as the starting area is also considered a destination area 1 0 C FAr TAr q a where a age group TAr and q time period division of year Note that there are two tables for each species 1 Migration coefficients for age groups 0 and 1 each year with Qmax period cohorts 2 Migration coefficient for age groups 2 to awa St with one combined age group each year Each of these tables are organised so that columns comes in period groups Figure 2 5 7 a 1 PEROD2 PERIOD3 PERIODA Table 2 5 1 A ERE PERIODA od MIGRATION AGEGR 0 4
149. 501 DII zz 4 Baltistan FLEET Wessel size groups c T Table1 5 1 3 1 501 Olt zz a Baltistan MAME VESSEL SIZES Wessel size groups c II a Table1 5 1 4 1 501 DII 22 16 Baltistan MAME OF RIGGINGS Riggings means a LE 3 Table1 5 2 1 1 501 DIMM er 1 Scandinavia FLEETS Fleet group c 10 Table1 5 2 2 1 501 DII zr 4 Scandinavia FLEET OMMENSIONS Vessel size groups c Ti Table1 5 2 3 1 501 DIF er a Scandinavia MAME OF VESSEL SIZES Wessel size groups c 12 Table 6 2 4 1 501 DIMM er 16 Scandinavia MAME OF RIGGINGS Riggings means a si 13 Table1 B 1 1 Sol 33 1 STOCK TABLES FOR OUTPUT 1 The table is di Zero indicates that 14 Table1 6 2 1 501 DIT 33 1 AREAS TABLES FOR OUTPUT 1 The table is di Zero indicates that 16 Table1 5 3 1 Sol 48 1 STOCKIAREAS TABLES FOR OUTPUT 1 Table Zero indicates that 16 Table1 6 4 1 501 DIT 62 1 COUNTRY TABLES FOR OUTPUT 1 Table disp Zero indicates that 17 Table1 6 5 1 501 68 1 COUNTRYFLEET TABLES FOR OUTPUT 1 Ta Zero indicates that 18 Table1 6 6 1 Sol DIT 1 COUNTRYIFLEETIVESSEL SIZE TABLES FOR Zero indicates that 18 Table1 6 7 1 Sol DIT 92 1 COUNTR YIFEEETIBIG TABLES FOR OUTPUT Zero indicates that 20 Table 5 8 1 501 104 1 RESULTING TABLES FOR OUTPUT 1 Table dis This table contains t 21 Table1 6 9 1 501 DIT 133 1 OF TABLES FOR number of table ez Tablel 7 1 501 141 1
150. 6 5 shown in Figure 2 4 5 are the maximum values allowed in the current implementation of TEMAS These maximum values of dimensions can easily be changed in the Visual Basic code The number of years 20 in Figure 2 4 5 is a default value not a maximum value as TEMAS can handle a time series of any length SUN TTE ERES IET IST TEE DIMENSION TEMAS RUN INFORMATION 3 Evaluation Frame For fisheries management systems Yersion EXCEL 2003 MS isual Basis 6 3 TEMAS 27 Mar 2007 IRL E Marine Fisheries Department STEP 6 DIFRES Danish Institute of Marine Reserch Param Creat 18 04 2007 E STEP 1 File T EM Enn E EN Hote Do not insert or delete rows or columns between gellow cells EN E Note Fill in the above tables and click on on the button NEW CASE Delete This will create the remaining system input tables STEP 2 STEP 3 Table 1 1 BASIC DIMENSIONS Number of stock Mame of Country of Area E Number of periods 1 1 1 E Number of Shock z z z T Mumber of Countries 3 2 2 Number of Areas 4 4 4 EN Number of Years 5 5 5 Fist Years Plan Plan M 4 M Old Dim 3501 DIM Old Stock 502 STOCK 502 STOCK C 503 lt gt Figure 2 4 6 Entry of basic dimensions Starting up a new case study with TEMAS Step 2 Filer Rediger Vis Inds t RNA
151. 60 Vessel Decomm 1 0 d48 o 6 0 2 0 95 0 CrewDecomm 0 0 5878 0 71096 0 16865 4247 0 Effort tax 9 2422 9 2127 8 3751 7 5820 6 8933 7 0079 3 2924 1 8911 1 5258 38115 532 80 30320 24244 60 851 83 609 77 486 53 455 71 225 44 163 89 179 25 63 287 N cash Flow 13085 17791 11270 17497 10548 21965 2823 0 6506 0 553 09 N P V cash Flow 9600 O qd Q Table 2 1 3 ANALYSIS Trawler Deterministic 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Investment 170 255 0 2 0 50 0 1350 27250 0 N P V cash Flow 633388 50 00 Q Table 2 1 4 ADDITIONAL INFORMATION Trawler Deterministic 222222000 2001 2002 2003 2004 2005 20066 2007 2008 2009 NumberofCrew 0 0 0 Q Number of boats 2100 1956 176 15 74 1421 1431 66 59 303 75 a C P U E Plaice 0006 0001 0004 0003 0003 0003 0003 2 0004 0005 0007 Val P U E Cod 0304 0448 Val P U E Plaice 0044 0046 0057 0075 0100 Table 3 4 1 Example of economic output three analyses for selected fleet From worksheet Economic Output 4 5 C P U E Cod 0051 003 0025 0014 0017 0015 0015 0014 0026 0036 5 3 4 156 113 TEMAS Manual 18 February 2008 4 5 OUTPUT FROM STOCHASTIC SIMULATIONS The output from multiple simulations is in worksheets Stochastic Output Tables 3 5 1 2 and NPV Output NPV Net Present Value Table
152. 667 8 772552 49 Total Value 145122 2290042 Mean Value ka 122035 2612276 21 Number of Crew 402 318 22 of b m i ni EL File Name of last run DEMON 5 24 Table Time of last run 06 08 2007 19 08 21 First and Last year Title oF last run DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries 2 Cash Flow FINANCE EI de WE YUS 28 NPY cash Flow Ca WE EE 23 Cash Flow a 30 MPY cash Flow GOVERNMENT BOD ARN ALT z 31 Cash Flow ECONOMIC ANALYSIS 90794035 58715 75 4240783 541317 1 32 NPY cash Flow ECONOMIC ANALYSIS 5214444 5214444 5215295 8215235 Total Landings 15 26572 3 703236 2247213 5D233757 a a nonumm eases casum Figure 3 1 1 Opening of calculation module 3 1 START UP Figure 3 1 1 shows the opening form appearing after activating the workbook TEMAS CALC Date To start the calculations the simulation click on simulations That will activate the userform for selection of type of simulation you want to execute see the following section Commandbutton Main frame allows you to make various types of file manipulation and it offers the option for tuning of model which is executed by a new userform see Section 3 6 129 EM TEMAS Manual 18 February 2008 3 2 SELECT SIMULATION Figure 3 2 1 shows the u
153. 8 areas No Value No Value 3 60 No Value No Value No Value 5 69 No ValueNo Value No Value 10 1 49 4 All areas 50 Age Per 1 Area West E QR E 49 JT M 4 gt Mj 509 STRUC RU X510 TUNING 511 OBS S12 DEMON 513 TABLES 514 TEMAS lt 3i Figure 2 13 3 b Research survey or commercial fisheries indices of stock numbers lt PREPROCESSING OF TUNING INPUT Figure 2 13 3 Options for pre processing of tuning data The option Make Tuning Fs equal for all areas takes the tuning F of first area and assigns that value to all other areas F St y g Ar FO St y q l If you select that option the value Mean Mean the cells for other areas than the first areas will become irrelevant The option Make Tuning Fs equal for all time periods takes the tuning F of first time period and assigns that value to all other periods St y 4 Ar St yl Ar and For uus Sts y q mean St VoL Mean Mean If you select that option the value in the cells for periods later than first period will become irrelevant 103 TEMAS Manual 18 February 2008 2 14 OBSERVATIONS INPUT S11 OBS Observations plays the same role in TEMAS as tuning data actually Observations are tuning or calibration data in the context of TEMAS The concepts tuning and calibrations which are almost the same are explained in Section 2 13 Observations mean observed landin
154. 8 18 4 13 3 3 3 5 1 3 3 4 7 1 2 TELD 28038 20118 16115 1364 8 12764 12372 8214 6912 6789 4570 Trawler catching Cod FISHING MORTALITY In shore Deterministic Agel ear CHHF CUHHS ZARI SO Sa CHER 0 020 0020 00198 0017 0018 0009 0008 0005 0 002 1 0 2158 0 210 0152 1 2 0100 0066 0 049 0 025 z 0 379 0570 0 356 0521 303 0294 WEB OE 0087 0 043 3 0 338 0 3853 0574 0557 0518 03503 0189 0122 0091 0 046 4 401 0 291 0 238 0 313 1 55 0125 0091 0 046 5 0 400 0 331 0 338 03200 0310 0125 n31 0 046 37 0400 0 351 0376 0 338 0 320 n 310 0185 0125 0091 0 046 T 0 400 0 351 0 376 0338 0 320 030 d85 0125 n31 0 046 a 1401 0 2391 0358 320 0185 0 123 0 046 EM TEMAS Manual 18 February 2008 Numbers of cod caught by Trawlers in Inshore Area E Age Gr 0 E Age Gr 1 Age Gr 2 Age Gr 3 m Age Gr 4 Age Gr 5 m Age Gr 6 Age Gr 7 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Figure 3 3 1 Example of graphical presentation of fleet structured output Derived from Figure 3 3 4 Figure 3 3 1 uses lines 16 25 of Table 3 3 4 as input to the EXCEL graph wizard without any modifications of the data Naturally you must Know how to operate the graph wizard of EXCEL but once you master that technique it takes little time to produce Figure 3 3 1 Once y
155. 8 98 18 98 18 98 18 98 18 98 18 88 18 98 18 8 18 88 18 98 18 98 18 88 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 98 18 38 18 98 22 TY FF TT 22 PY 22 TT FF TT 22 PY 22 22 PY 22 rrr rrr 22 TT feet feet feet 22 TY 22 7T 22 TY 22 TT FF 7T 22 PY FE TT 22 PY 22 TT 22 22 22 TT feet 2277 2e 22 TT 22 22 TT 2277 22 TT FF TT 2277 22 22 rni rrr 22 fort 22 22 Fedt Fedt L755 Body length at which 75 5 of the fish caught are discarded Discarding iz modelled by the logistic curve gt Figure 2 6 5 Discard selection parameters 52 TEMAS Manual 18 February 2008 209 Table 3 2 5 1 Baltistan West Baltic RELATIVE PERIOD CATCHABILITY max value 1 Species 210 2000 Fert z000 2 2 2 z 0nPer4 2001Per1 2001Perz 2001Per3 2001Fer 4 20 ell weet Cod DE Trawler Baltistan Small 1 0 5 0 6 0 85 1 0 9 0 6 0 35 212 west Cod OB Trawler Baltistan Small 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 35 213 west Cod Trawler Baltistan Medium lt Tl rnm 1 0 5 0 6 0 85 1 0 9 0 6 0 35 214 west Cod OB Trawler Baltistan Medium gt 110mm 1 0 3 0 6 0 85 1 0 3 0 6 0 88 216 west Cod OB Trawler Baltiztan Large lt 1 0 3 0 6 0 85 1 0 5 0 6 0 25 216 west Cod Trawler Baltistan Large gt H mm 1 0 3 0 6 0 85 1 0 3 0 6 0 35 21 west Cod Gillnett Baltistan Small 11
156. 9 INET 3 1639 INET Number of Crew 5300 584 2900 304 We Number of boats 2100 220 00 TE 103 _ C F U E Cad 0056415 1033574 016925 028072 104 C P U E Plaice 00054630 1010302 0016355 0032705 105 Val P LI E Cad 051638 085094 15431 25529 Es Val P LI E Plaice 0050673 010153 015202 030458 Figure 3 1 2 Second portion of Summary output 148 TEMAS Manual 18 February 2008 102 Table 1 7 FINANCIAL ANALYSIS OF HARVESTING ALL FLEETS Determin RUN 2000 2001 2002 2003 2004 2005 2006 2007 2008 2003 il Grrevenuebeforetas 69877 50563 41359 361400 34637 2404 22919 19717 19700 13414 112 revenue taw 3493 3 2528 5 2067 3 1807 0 17349 1705 2 146 0 385 85 385 00 570 70 Gr revenue after tas 66384 48041 39291 34333 32362 32393 2173 18731 18715 12743 14 Costs of effort 3242 2 90338 86863 78215 73878 71683 42806 28352 2112 5 1056 3 15 Cost of landing 76 253 55573 46 081 40592 38 945 38461 25 582 21325 21762 14 714 16 Crew share 8810 4 60497 47272 40914 29487 28970 2712 2475 6 25953 18325 A Crew salary 8215 3 8030 77212 69521 65661 63715 28050 25202 1877 8 938 89 Fixed Costs 7875 T3125 70313 63313 5980 58025 365 2295 1710 855 3 Investment 0 0 n 0 0 0 0 0 0 0 Decommission Effort tas 12323 12045 158 2 10428 884 31 35572 570 75 37803 28167 140 83 Effort subsidy 82153 803 T7212 695 21 656 61 63745 38050 25202 18778 93 889 123 Licence fee 224
157. AME OF VESSEL SIZES Table 1 5 2 4 Germany NAME OF RIGGINGS sei Ves siz 2 3 Fig 1 Fig 2 Fig 3 Sizname 1 V Siz name 2 5iz name 3 Fig 1 Rig Name 2 Fig Name Trawl Y Siz mame 1 W Sizname 2 W Siz I Trawl Rig Name 1 Rig Name 2 Rig Name Cither 5iz name 1 Other Hig Name Table 1 5 3 3 Latvia OF VESSEL SIZES Table 1 5 3 4 Latvia NAME OF RIGGINGS Wes siz 1 Ves siz 2 Wes si 3 Fag 1 Fag 2 Fag 3 Gilli V Siz name 1 Y Siz 2 W Siz name 3 Aig 1 Rig 2 Rig Name Trawl Sizname 1 3 Other 5izname 1 Table 1 5 4 3 Poland NAME OF V Nes siz 1 Ve Gilln Siz name 1 5 W iz mare 1 Other W Siz name 1 Table 1 5 5 3 Sweden NAME OF VESSEL SIZES Table 1 5 5 4 Sweden OF RIGGINGS Vez zlz 1 Ves siz 2 Yes siz 3 Fig 1 Fig 2 Fag 3 Gill Siz name 1 WV Siz name 2 Siz name 3 Gilln Fig Name 1 Rig Name 2 Rig Mame Trawl Y Sir 1 W Siz name 2 5iz name 3 Trsul Rig Mame 1 Rig 2 Rig Name Other V 5iz name 1 Other Rig Mame 1 Table 1 5 6 3 Other NAME OF VESSEL SIZES Table 1 5 6 4 Other OF RIGGINGS Wes siz 1 Ves siz 2 siz 3 1 Fag 2 Fig 3 Other W iz name 1 Other Fig Name 1 Figure 2 4 14 Starting up a new case study with TEMAS Step 6 28 TEMAS Manual 18 February 2008 After Table 2 4 13 TEMAS 15 ready to take the number of vessel sizes and gear riggings as input
158. AS Manual 18 February 2008 RUN INFORMA TIOM Date of this run of Run Param Created File Hame gt wif S11 OBS 512 DEMON 3 813 TABLES 514 TEMAS 515 HER Figure 2 4 19 List of tables in TEMAS_INPUT 58 53 B bz 53 4 Bo Be ri fe T 74 rh 0 E Table 1 6 1 STOCK TABLES FOR OUTPUT 1 The table is displa Western Cod Eastern Cad Sprat Plaice Other species Plumber Table 1 6 2 AREAS TABLES FOR OUTPUT 1 The table ts displa Baltic West Balic East Bornhalm Gotland Mot Baltic Plumber M 4 k M Old Dim SD1_DIM Old Stock Z 502 4 Figure 2 4 20 Output table options 32 18 04 2007 18 04 2007 BalticCodl Indez Table Number Index Sheet Name Start How Start Col Caption mm 1 T ablet 1 1 S01 Dil 13 1 BASIC DIMENSIONS The Dimensions of a ca 2 Table1 2 1 501 DIMM 13 5 STOCKS A Shocks here means 3 Table1 3 1 501 13 3 COUNTRIES Fleets can be grouped bi 4 Tabl 1 4 1 501 Op 13 13 AREAS Areas are fishing grounc 5 Table1 5 1 1 1 501 Olt zz 1 Denmark FLEETS A Fleet iz group oF Fai 5 Table1 5 1 2 1 501 DIB zz 4 Denmark FLEET DIMENSIONS Vessel size groups E T Table1 5 1 3 1 501 Dif Ze Denmark MAME OF wESSEL SIZES Wessel size groups E a Table1 5 1 4 Sol Ze 13 Denmark MAME OF RIGGINGS Rigging means a subdi 3 Table1 5 2 1 1 501
159. Ark2 S04 EFFORT 505 BOATS 506 PRICE Figure 2 7 7 Effort multipliers A Before clicking on Read effort from sheet B After clicking on Read effort from sheet Explanation below EXCEL table Effort Mults by Country Fleet V Size Area and Rig by which you can change effort Effort Ct Fl Vs Ar Rig Mult Ct Fl Vs Ar Rig Ref Effort Ct Fl Vs Ar Rig NOTE That 0 lt Mult lt 62 TEMAS Manual 18 February 2008 Figure 2 7 7 EXCEL Table 4 6 contains effort multipliers In this case they have all got the maximum value of 1 except for cell 422 which has got value 2 Figure A Figure B shows the results after clicking on read effort from sheet The program will normalize the multipliers within the period in question so that the maximum value becomes one Any multiplier value above 1 is absurd as the multiplier is applied to the maximum possible effort Baltistan Baltistan 547 Baltistan 548 Baltistan 543 Baltistan 550 Baltistan 551 Baltistan 552 Baltistan 553 Baltistan 554 Baltistan Baltistan Baltistan 557 Baltistan 552 Baltistan 553 Baltistan 560 Baltistan 561 Baltistan 562 Baltistan Baltistan 564 Baltistan Baltistan OE Trawler Baltistan Trawler Baltistan Trawler Baltistan OE Trawler Baltistan OE Trawler Baltistan
160. B Traulrr Pallinlan Largr Borehole allinlas GB Trauler Ballinlan Large Gulland imlan railluellBallinlan Small ee Ballin allinlas Gillarll Ballinlas 5mall Ballin allinlas Gillanll Ballizlas allinlan raillurll Eallinlasa mall Hal Dallia mall allinlas Gillarll Ballinlas 5mall Galland raillaell Ballinlan Firdinm S ral Ballin allinlasn Gillarll Ballinlan FHrdinm Bullis allinlan Gillarll Ballinlas d d dinm Hal Fallin rdinm Borehole d allinlan aillaril Eallinlan Hrdinm Galland allinlas Gillarll Ballinlas Large Weel Ballin allinlas Gillarll Ballinlas Large Essl Ballin Large Hal Ballia allinlas Gillarll Ballinlan Large i 5 5 i 5 H H raillurll Ballinlan Ae H H L L L L L ielan Gillaril Pallinlan Largr Galland inania Small ral Dallin imamia Small Bullis Hot Eornhalm Gotland Werk imania Small Hal Pallin imania Small Borehole imania Small Galland imania Hrdinm Weal Pallin inania Hrdium Pallin imania Hrdisam Hal Fallin Enrnhnlm Gotland Work imania Borehole imania Hrdinm Galland barrer Viral Ballin Hot bali Enrnhnlm Gotland Mark Eart Hot baltic Eornholm Gotland Work un 3 3 3 3 3 3 a a x 7 on 2 n 2 2 n
161. COMMENTS TO MAMES Comments explana 23 Table2 1 1 2 S02 STOCK 11 1 GROWTH MATURITY PARAMETERS Von Bertalanffy gro 24 Table2 1 2 2 502 STOCK 16 1 CONDITION FACTOR Condition Factor is eb Tablez 2 1 2 S02 STOCK 21 1 RECRUITMENT PARAMETERS Parameters in Four 26 Tablez 2 2 2 502 STOCK 2 1 RECRUITMENT DISTRIBUTION OM PERIODS Distribution af recru 2 Table2 2 3 2 S02 STOCK 31 1 RECRUITMENT OI TRIBUTION Of AREAS Distribution of recru 29 Tablez 2 4 2 S02 STOCK 3B 1 LOW SPAWNING SUCCESS ON AREAS weighting Factor 23 Tablez 2 5 2 502 STOCK 41 1 HIGH SP 4 WING SUCCESS ON AREAS The weighting Factor KUN 30 Tablez 2 6 2 502 STOCK 46 1 RECRUITMENT TREMO OVER YEARS I We assume 31 Table2 3 1 2 502 STOCK 51 1 STOCK NUMBERS FIRST PERIOD OF FIRST Y Initial number of juwe Je Tablez 3 2 2 S02 STOCK 1 STOCK NUMBERS FIRST PERIOD OF FIRST Y Initial number of age 33 Table2 4 1 2 S02 STOCK 68 1 WEIGHTING FACTORS FOR MEAN F CALCUL MeanF over arange 34 Table2 4 2 2 502 STOCK T9 1 WEIGHTING FACTORS FOR MEAN CALCUL MeanF over range 45 ah Tahle 1 an STOCK Weer Lad GA 1 Bsflinr atirin eaetfieier 4 512 DEMON 813 TABLES ark4 F 514 TEMAS sis TT gt Fi igure 2 17 2 Complete list of tables Figure 2 17 1 shows the user form of sheet 513 TABLES This is different from the menus ofthe input sheets The user form of 513 TABLES is the main menu of TEMAS INPUT
162. Cll nat Srl nat mall 120mm Gill nat Lange 120mm net Large gt 1mm Maainnium riumber of sea days gwen by regulation Table 14 2 1 1 1 2 Baltistan West Baltic SEASONAL CLOSURE BY REGULATION Fleet V Size Rig Country Area Regime 1 A000 Perd 2000 Perz 2000 Perd 2200 Perd 2001 Pert 2001 Peet 2007 Pera 2001 Perd ZU Ped 2002 Per OMO Par 3 2002 Perd tg e a en e eel ee eno A Traw Small 110mm 41 Trl Small 110mm 42 Try Large 11mm 43 Traps Large 110mm 44 Gall nat Small 45 n t 1X mm Ao net Large x Tzlmm AT Gill net Lange Fimm i Frachon of sea days green by regulation Musi be in inberal 0 1 1 Total clasure of entire LL x closed m the X Hf Ert where 29 F igure 2 15 3 Maximum number of sea days and seasonal closure MPA given by regulations EY FL Vs Rg Ct y q Ar and X cos F Vs Re Ct y g Ar 0x X Core lt for one Fraction of sea days given by regulation Must be in interval 0 1 1 Total closure of entire period 0 No closure x 0 lt lt 1 closed the X Ref Effort where Reference Effort Maximum Possible Effort in units of fishing days Figure 2 15 3 shows the maximum number of allowed sea days per time period Section D 5 3 EY Rg Ct y q Ar and the MPA closure reduction factor x MPA Core CE Vs Re
163. DAYS Regime 1 Traul Small 2148 Traul Small 1182 Traul L ee Traul L 111 Gill srl Gill arl Small 408 Wien TH wher nra dag Table 14 2 1 1 1 2 Baltistan West Baltic SEASONAL CLOSURE Regime 1 able 14 2 1 1 2 1 Baltistan East Baltic MAXIMUM NUMBER OF SEA DAYS Regime i Y m mpra eq oW ow E K bk DE PPP rere rrr able 14 2 1 1 2 2 Baltistan East Baltic SEASONAL CLOSURE Regime 1 ees diliilliillililli ue a ara daqa ginra kq reqalalion bei ardia lbr X ErF E Furl r EFFarl Hanimum EFFarl in anila aF Finking daga Table 14 2 1 1 3 1 Baltistan Bornholm MAXIMUM NUMBER OF SEA DAYS Regime 1 Traul Small 998 Traul Small 2141 Traul Larqe 211 Traul Large 7111 Gill arl 5mall 2428 Gill arl Small 2128 acl L TU Gill ael L 42 Hanimum somber oF ara daqu hy rrqulalinn Table 14 2 1 1 3 2 Baltistan Bornholm SEASONAL CLOSURE Regime 1 Traul Small 24348 Traul Small 5448 Traul Largr 4341 Traul Large gt 11 Gill arl Small 2428 Gill arl Small 420 Gill ael L Gill ael L TU Franlinn aF nra daqa ginra rrqulalinn Haal br wal hA d Talal alan ind nluuurr n ikasi nlnurdinlkr X ErF E Furl ukrrr ErFrrruur EFFarl HanimumFuuniklr CF Ford in anila af Finkinn daga Table 14 2 1 1 1 1 Baltistan Gotlan
164. DO aram mb 17 99 00 00 00 READ STOCK INPUT FROM SHEET mon 5 Migs STOCK INPUT P EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 St Dev ac 3 West Cod East cod Options for Preprocessing of data B Goto Mam Menu B m West Cod East cod Read stock parameters fram diskife EN Ig E EN N E ES ma EN Read stock parameters from worksheet B aetrr West Cod 4 k H N 501 DIM 3 502 STOCK 4 503 FLEET 4 50 4 Figure 2 5 2 User form for entry of stock related parameters EXCEL G B 23 Tabe21l Zl GROWTH AND MATURITY PARAMETERS AND MATURITY PARAMETERS CONDITION FACTOR LOW SPAWNING SUCCESS ON AREAS O OoOO o o oo Table 2 2 4 LOW SPAWNING SUCCESS ON AREAS 29 Table 2 2 5 HIGH SPAWNING SUCCESS ON AREAS STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 2 East cod MIGRATION AGE GR 0 1 East cod MIGRATION AGE GR 2 39 NATURAL MORTALITY West Cod Table 2 6 2 NATURAL MORTALITY East cod Table 2 5 1 Tables in the Stock input sheet S02_STOCK Dn nm 34 EE TEMAS Manual 18 February 2008 Figure 2 5 2 shows the input user form for worksheet S02 STOCK As you will see the layout of this userform Is repeated for all other input sheets Only the text on the command buttons are slightly modified to reflect the type of input of the worksheet in question Then four command buttons are 1 Options for p
165. E PRICE over age groups Trawler Ealri OB Trawler Balti Trawler Balti Gillnett Baltistan Gillnett l Ane Per 1 4 4 3806 PRICES 507 ECONOMY soa Thal o Figure 2 9 1 User form for entry FI prices related data and parameters EXCEL Table Table6 2 1 Baltistan MAXIMUM PRICE over age groups Table6 2 2 Baltistan RELATIVE PRICE over age groups Table6 2 3 Baltistan PRICE FLEXIBILITY Table6 3 1 Scandinavia MAXIMUM PRICE over age groups Table6 3 2 Scandinavia RELATIVE PRICE over age groups Table6 3 3 Scandinavia PRICE FLEXIBILITY Table 2 9 1 Tables the prices input sheet 806 PRICES The price concept used TEMAS is the Ex vessel price that is the price of the landings given to the vessel the vessel owner They are given as a maximum price over age groups and a relative price by age Pmax FI Vs Rg Ct St q Maximum Price over age groups and PrelFl Vs Rg Ct St q is the relative price of age group Note that Pmax depends on the year and the period but not the age group whereas P depends on the age group of the animals but not the year The product becomes the age dependent absolute price 77 3335 TEMAS Manual 18 February 2008 P FLVs Rg St y q Pmax Fl Vs Ct St y q Pre FI Vs Rg Ct St q a The maximum prices are shown in Table 2 9 2 EXCEL Table 6 2 1 and the relative price is shown in Figure 2 9
166. E SERIES OF OBSERVED LANDINGS 12 First First 13 fear 14 Period 18 Table 11 2 1 Baltistan West Cod OBSERVED LANDINGS 13 2000 2000 2000 2000 2001 2001 2 2001Per 3 2001 4 2002 Ferd 20 20 Trawler Baltistan Small lt 21 Trawler Baltistan Small lt zz Trawler Baltistan Small lt 23 Trawler Baltistan Small lt 24 OB Trawler Baltistan Small lt 25 Trawler Baltistan Small 5 26 Trawler Baltistan Small 110mm 2r OB Trawler Baltistan Small 110mm 28 OB Trawler Baltistan Small 5 29 Trawler Baltistan Small 110mm 40 OB Trawler Baltistan Large lt 110mm 41 Trawler Ealtistan Large H mm 42 OB Trawler Baltistan Large Timm 43 Trawler Baltistan Large Timm 44 OB Trawler Ealtistan Large lt 110mm 45 Trawler Ealtisran Large gt H mm 46 OB Trawler Baltistan Large gt 110mm 47 Trawler Ealtistan Large gt 110mm 45 Trawler Baltistan Large gt H mm M 4 MSIO0 TUNING 511 West Baltic East Baltic Mat Baltic Bornholm Gotland West Baltic East Baltic Mot Baltic Bornholm Gotland 30 Trawler Ealtistan Medium lt west Baltic 3 OB Trawler Baltistan Medium lt East Baltic 32 OB Trawler Baltistan Medium
167. ENTRY OF NEW CASE SYSTEM DIMENSIONS Gilln 3 Trawl 3 Other 1 Table 1 5 2 2 Germany FLEET DIMENSIONS N W C A S DI N EN SI O N 5 B SC LIC ELS Version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Gilln 3 i Trawl 3 Dther 1 File list Main Menu Table 1 5 3 2 Latvia FLEET DIMENSIONS of Vessel sizes Number of Riggings STEP 1 FIVE Hae io fen fase study Done Gilln 3 EA suite wu ya y ee HE 3 STEP2 Read basie dimensions gt Done Table 1 5 4 2 Poland FLEET DIMENSIONS Number of vessel sizes Mumber of Riggings STE P 3 Read names of stocks COLI MT Tex and areas B Done Gilln 3 3 T pP SIEP4 Done Table 1 5 5 2 Sweden FLEET DIMENSIONS Number of Vessel sizes Number of Riggings STEP Gilln 3 Other 1 Mot Dane Table 1 5 6 2 Other FLEET DIMENSIONS QUIT Go Back Cancel entry of new case study B Number of Vessel sizes Number of Riggings MEC __ Other 1 Figure 2 4 13 Starting up a new case study with TEMAS Step 5 Table 1 5 1 3 Denmark NAME OF VESSEL SIZES Table 1 5 1 4 Denmark NAME OF RIGGIMGS Ves siz 1 Ves siz 2 Ves siz 3 Rig 1 Fig 2 Fig 3 Gill W 5iz mame 1 W 5izname 2 3 Gilln Fig Mame 1 Rig Name 2 Fig Name Trai 1 V Sizname 2 V Siz name 3 Trad Fig Mame 1 Rig Name 2 Rig Mame Other _Sizname 1 Other Fig Name Table 1 5 2 3 Germany N
168. EST CONTROL RULES summed o over areas West Cod 2000 2000 2000 2000 2001 2001 eun eun 2002 2002 2002 2009 2005 nm Per Pert Pers Pert Feri Fert Pers Ferdi Ferz Pers Fert Feri Fi 0 2516 0 2535 0 2863 0 2992 0 2809 0283 0 2867 2882 D2766 02795 0 2845 1280 02797 I 0 2194 0 7165 0 7121 0 7108 0 7191 OT 027133 0718 r234 D72802 0 7151 OO 07203 102 Baltistan 103 Scandinavia B M 4 k M 513 TABLES 514 TEMAS 515 HCR Stock lt u gt Figure 2 16 3 Relative stability for one stock summed over areas Information table 2 17 LIST OF TABLES S13 TABLES H11 Z amp The Dimensions of a case study has a spcial status as input parameters as it B determines the numbers of the other parameters as well as the number of variables INPUT TABLES In the model Thus if you change the dimensions all other parameters must also be changed Same sometimes alll table dimensianss will be changed when dimensions are changed 5 of Run EX Param Created File Name Table Sheet Start Index Table Number Index Sheet Name How Start Col Caption Comment 11 1 Table1 1 1 501 DIT 13 1 BASIC DIMENSIONS The Dimensions of 2 Table1 z 1 501 13 5 STOCKS A Stacks here mes 3 Tablel 3 1 501 13 3 COUNTRIES Fleets can group EN 4 Table1 4 1 501 Olt 13 13 AREAS Areas are Fishing gr Table1 5 1 1 1 501 DII 22 1 Baltistan FLEETS A Fleet is a group c EN Table1 5 1 2 1
169. EW CASE STUDY STEP 1 Mat Done Give new name of data file STEP 1 Mot Done Cancel Mot Done Mot Dane Go Back Cancel entry of new case study B Figure 2 4 4 Giving name to new case study Starting up a new case study with TEMAS Step I 2 2 F RUN INFORMATION ETICA Date of this ri 18 04 2007 09 00 ENS Name of Run NEXT STEP FE Param Creat 18 04 2007 09 00 FileName BalticCodi ES 10 Note Hill the above tables and click on on the button NEW CASE Delete curren EN This will create the remaining system input tables E 2 3 1 Table 1 1 BASIC DIMENSIONS Number Marne of stack Mame of Country Marne of Area 15 Number of periods 1 1 1 Number of Stocks z z z Tr Number of Countries 2 2 2 Number of Areas 4 4 4 Number of Years F 20 Fist Years 4 STEP 5 STEP 6 Marne of Fleet of Fleet of Fleet Marne of Fleet 1 1 1 1 2 2 2 2 3 DIMENSIONS NEW CASE STUDY STEP 2 Marne of Fleet 1 2 Annuller 3 M M Old Dim 4501 DIM Old Stock 502 STOCK 4 S02 STOCK 503 FLEE mi Klar Figure 2 4 5 Starting up a new case study with TEMAS Step 2 22 TEMAS Manual 18 February 2008 After OK the screen will turn into Figure 2 4 5 You are now ready to enter the dimensions of the new case study The basic dimensions 12 5
170. Figure 1 3 1 are 2560 Kb and 2850 Kb These sizes however changes with the case study TEMAS has a tendency to grow in size if you do not from time to time clear the sheets by the TEMAS button Clear all sheets in the main menu Figure 1 3 5 This Calculation module will not delete input data which are stored in text files on the hard Evaluation Frame for fisheries management EXCEL 2003 MS Visual Basis 6 3 disk Only output and cells prepared by the user will be deleted Output can easily be regenerated If you don t want your additional calculations to be deleted write then on an additional worksheet Clear all sheets only applies to the standard sheets of TEMAS Simulation Many enu File Name af last run DEMON 5 Mig3 I Time of last run 27 03 2007 13 14 24 Several of the topics dealt with in this section will be further DEMONSTRATION EXAMPLE 5 WITH FAKE DATA 2 Countries Number of fleets 1 2 2 2 2 Stock s 5 Area s 10 elabor ated in the f ollowing Year s dt 1 4 years Circular movement minimum 3 sectlons ETT i Title of last run Figure 1 3 7 The opening form of TEMAS CALC When running the program you may do any calculation or manipulation of the input tables and output tables by aid of the facilities in EXCEL With the output produced by the calculation workbook there is no special instruction on things yo
171. In this case we choose 3 vessel sizes and 3 riggings for gillnet and trawlers where as for other gears there is only one vessel size group and one rigging Table 2 4 14 shows the templates for entry of names of vessel size classes and gear rigging names The names shown in Table 2 4 14 are the standard names given by TEMAS which you are supposed to overwrite The names given of vessel size classes and gear riggings are shown in Figure 2 4 15 Again the same vessel size names and gear rigging names are chosen for all fleets in all countries That is vessel sizes are small vessels less than 12 meters medium size vessels between 12 and 24 meters and large vessels over 24 meters The names Small Medium and Large might have been chosen as well Table 1 5 1 5 Gilln Trawl Other Table 1 5 2 3 Gilln Trawl Other Table 1 5 3 3 Gilln Trawl Other Table 1 5 4 3 Gil Trawl Other Table 1 5 5 3 Gilir Trawl Other Table 1 5 6 3 Other Denmark NAME OF VESSEL 1 5 1 4 Wes siz 2 Ves siz 3 Gilln Trawl Other Germany NAME OF VESSEL SIFhBle 1 5 2 4 Vessi1 Wees siz 2 Wes siz 3 Gilln Trawl Other Latvia NAME OF VESSEL SIZES able 1 5 3 4 Wes siz Vesisiz 2 Vez siz 3 Gilln Trawl Other Poland NAME OF VESSEL 1 5 4 4 Vessi1 Wees siz 2 Wes siz 3 ailln Trawl Other Sweden NAME OF VESSEL SI7Eible 1 5 5 4 Wes ciz 1 Wes siz
172. LLOWED FLEET CHARACTERISTICS BY COUNTRY FLEET AND VESSEL SIZE Not Used Not Used 18 Table5 5 34 Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY AND FLEET Tonnage NotUsed 2 132 Table5 5 38 _ Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY KgWat NotUsed O Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY FLEET AND VESSEL SIZE KoWat Not Used Scandinavia START NUMBER OF VESSELS FLEET CHARACTERISTICS Not Used Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY Not Used Not Used Table5 5 44 Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY AND FLEET Not Used Not Used Table5 5 45 Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY CTRY FLEET AND VESSEL SIZE Not Used Not Used Table5 5 46 Scandinavia FLEET CHARACTERISTICS Not Used Table5 5 47 Scandinavia START NUMBER OF VESSELS FLEET CHARACTERISTICS Not Used Table5 5 48 Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY Not Used Not Used Table5 5 49 Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY AND FLEET Not Used Not Used Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY CTRY FLEET AND VESSEL SIZE Not Used Not Used Table 2 8 1 b Tables in the boats input sheet which not used S05 BOATS
173. Model 5 4 Version OFFICE 2000 21 Mar 2001 START Date of this run 03 04 01 11 41 Fisheries Department Hame of Run Param Created 12 00 00 AM 00 00 File Name DEMON 4 14 43 SELECT SIMULATION TYPE fleet HELP SELECT ONE DETERMINISTIC SIMULATION Page 1 of 1 Pat Gill Met fist of Tables 2003 53882 39644 Hote air memi This option allocates Ehe value 1 0 to all stochastic Factors 140 IE makes one single simulation and displays detailed results in the work sheets nat show messages B 93186 Summary Output Summary Qutput 1 53 2 Economic Outpuk Economic Qutput 2 53882 3 Stock Output Annual Stock Gutpuk summed over areas Tuning of Model B 4 Fleet Output Annual Fleet Output summed over areas 365 5 Stochastic Output Qutput From multiple stochastic simulations One deterministic simulation n 81 amp MPV Output OUTPUT OF WEY Net Present Value Output multiple simulations 17664 7 Tuning Output Tuning Output Yer stochastic simulation B 8 Rules Behaviour Rules Output j d d 9 Ogives gives yearfi 10 Sk Out Period Stock output by time period summed over areas Afuitipe stochastic simulation B 2003 11 5t Out Area Annual Stock output by area summed over periods agag 12 5 Out Per Ar Stock output by time period and area 23580 Qut Period Fleet output by time period summed over areas Read Effort and capa
174. NDANCE Numbers at age Table10 2 1 East cod TUNING FISHING MORTALITY AND BIOMASS INDEX Table10 2 2 East cod INDEX OF ABUNDANCE Numbers at age Table 2 13 1 Tables in the tuning input sheet 8010 TUNING ER rr r INPUT RELATED TO TUNING RUN INFORMATION Date of this run 03 0 Hame of Run Param Created 12 00 File Name DE Oo CD P Mm uo 11 Table 10 1 1 West Cock TUNING FISHING MORTALITY AND BIOMASS INDEX 2000 Perl z000 Ferz 2000 Per 3 2000 4 2001 2001 Per 2 2001Per3 2001 Plean stock F Area West Baltic Mean F Area East Baltic Area Mot Baltic T Area Bornholm 18 Area Gotland 13 Stock SSE z S56 Area west Baltic 21 SSE Area East Baltic 22 S56 Area Mar Baltic 23 SSE Area Bornholm 24 S56 Area Gotland eb M 4 k SDQ_STRUC RU 510 TUNING 511 lt gt Figure 2 13 2 From worksheet Tuning_Input Figure 2 13 2 contains the Index of stock biomass or SSB from research vessel survey or from catch per unit of effort of commercial vessels and mean stock F Fishing mortality from for example fish stock assessment of ICES working groups Mean F and SSB be given for the stock all areas and by area Figure 2 13 3 a and b contain the indices of stock numbers from research vessel survey or from commercial vessels TEMAS offers the opt
175. O Enter O group period 3 here for calci Age 4 E EM 0 m 5000 Enter C group period 4 here for calci Age 1 Fer 1 Enter constant Fs here For calculation Age 1 Fer 2 Age 1 Per 3 Age 1 4 Table 2 3 2 STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 2 west God West Cod East cod East cod West East West Cod West Cod west Cod West East East cod Eastood Eastcad Baltic Baltic Baltic Bornholm Gotland Baltic Baltic Mor Baltic Bornholm Gotland Age 2 Age 3 Age 4 Figure 2 5 5 b Input for calculation of initial stock numbers Input data are in the gray and orange coloured cells Note that the constant fishing mortality is given in the row for period 1 age group L The yellow cells are used for input in this special case Table 2 3 1 STOCK NUMBERS FIRST PERIOD OF FIRST YEAR Age 0 1 west Cod East cad West West Cod West Cod West Cod wesrCod West Fastood Eastcod Eastcod Eastcad Baltic East Baltic Mot Balic Bornholm Gotland Baltic East Baltic Mot Baltic Bornholm Gotland Age Fer 1 55250 0 0 0 0 0 0 0 0 0 2000 0 0 0 6000 0 2000 0 Enter O group period 1 here F Age 0 2 00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 00 Enter O group period 2 here Age 0 3 Enter O group period 3 here Age 4 160517 4709 3 14128 1 4703 3 Enter O group period 4 here Age 1 Per 1 Enter constant Fs here For cal Age 1 2 Age 1 Per 3 Age 1 Per
176. Other technical measures are e g mesh size regulations These measures are indirectly covered by the selection of parameters in gear selection ogives Also MPAs are indirectly covered by the input effort effort is zero in MPAs or by the RUM Random Utility Model for the behaviour of fishers The utility of selecting an as fishing ground is assigned the value of oo Sheet 514 TEMAS however also contains options for direct handling of MPAs and closed seasons which makes it simple to compare two alternative management regimes which differ in terms of closed areas and closed seasons This is regime comparison No 6 in Table 1 1 1 Two alternatives for TAC with first option TAC with second option for closed definition of MPAs and for closed season and season and MPA closed seasons MPA Figure 2 15 1 shows the user form of sheet 514 TEMAS and Table 2 15 1 lists the EXCEL tables in the sheet There is one table for the minimum landing sizes and one table with maximum number of sea days for each combination of country and area sr 1 TECHNICAL MANAGEMENT MEASURES x TECHNICAL MANAGEMENT MEASURES B TECHNICAL MAN AGEMENT MEASURES Options for Preprocessing of data 7 x Read TEMAS fram disk Goto Mgr Mer B B Read TEMAS fram sheet Figure 2 15 1 User form for entry of parameters for technical management measures 109 Index 177 178 179 180 181 182 18
177. Output summed over areas Annual Stock Output summed over areas and periods fd ie iv ie e iv iv ie Number of vessels and effort ki Figure 3 3 3 Message at the end of simulation The left hand side completion message represents a run with no display of output and the right hand side the maximum number of tables displayed as indicated on the lower part of the picture 135 TEMAS Manual 18 February 2008 3 4 INCLUDE EXCLUDE BEHAVIOUR RULES ag m Behaviour Rules Apply Attrition rules Apply Dis investment rules H v Apply Investment rules H Apply Decommission rules H Apply discard practice rule H Apply Effort rigging allocation rule B Apply Effort area allocation rule B Apply Effort level rule H Back Select simulation Figure 3 4 1 Selection of behaviour rules for inclusion exclusion 136 TEMAS Manual 18 February 2008 3 5 SELECT CASE STUDY Select case study gt x 2 B KE a B 9 With MPA Season Option 1 With MPA Season Option Figure 3 5 1 Selection of case study 137 313 TEMAS Manual 18 February 2008 3 6 MAIN MENU FOR CALCULATION MODULE MAIN MENU Evaluation Frame for fishereis management systems MAIN CALCULATION MENU Time of last run 06 08 2007 19 08 71 File Name of last run DEMON 5 Mig3 DEMONSTRATION EXAMPLE 5 WITH FAKE DATA 2 Countries Number of fleets CE 1 2 2 2 Stoc
178. REEM xs Figure 2 4 2 Menu for Starting up a new case study with TEMAS CHTEMAS Datal Baltic Codz There are 6 steps in the procedure and the user form will Multiple Output Baltic _Cod _ PARAM CONSTANT TXT Baltic Cod PARAM 1 Perl TXT Baltic Cod _PARAM_ 1_Per2 TXT Baltic Cod PARAM Y1 Per3 TXT Baltic Cod2 PARAM Y1 Per4 TXT Baltic Cod2 PARAM Y1 Per5 TXT Baltic Cad PARAM Y1 Per amp TXT Baltic Cod2 PARAM Y2 Per1 TXT Baltic PARAM Y2 Perz TXT Baltic Cod PARAM Y2 Per3 TXT Baltic Cod PARAM Y2 Per4 TXT Baltic Cod2 PARAM Y2 Per5 TXT Baltic Cod 2 Per amp TYT Baltic Cod Perl TXT Baltic Cod Perz TXT Baltic Cod2 PARAM Per3 TXT B Baltic Codz PARAM TST Cad PARAM keep track of where you are in the process as indicated in the right hand side column with Not Done As you proceed Not done will be replaced by Done Clicking on the question mark next to STEP 1 Give name to new case study gives an explanation of what a name means in the context of TEMAS Figure 2 4 3 as well as the conventions for names used in TEMAS It Is important to choose names that makes sense and are explanatory so that at a later state you will be able to remember the particulars about the case study Note that the name of the case study will also become is part
179. RISTICS BY COUNTRY Tonnage Table5 5 11 Baltistan FLEET CHARACTERISTICS KgWat 101 102 105 106 120 121 125 l 5 26 Table5 5 32 Scandinavia START NUMBER OF VESSELS FLEET CHARACTERISTICS Tonnage 127 Table5 5 33 Scandinavia MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY CTRY Tonnage 130 Table5 5 36 Scandinavia FLEET CHARACTERISTICS KgWat 131 Table5 5 37 Scandinavia START NUMBER OF VESSELS FLEET CHARACTERISTICS KgWat able 2 8 1 Tables in the boats input sheet which are actually used S05 BOATS Index Table Caption Table5 5 9 Table5 5 14 Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY AND FLEET Koet Not Used Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY FLEET AND VESSEL SIZE KqWat Not Used 1 Baltistan FLEET CHARACTERISTICS Not Used Baltistan START NUMBER OF VESSELS FLEET CHARACTERISTICS Not Used Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY Not Used Not Used 113 Table55 19 Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY AND FLEET Not Used Not Used Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY FLEET AND VESSEL SIZE Not Used Not Used Baltistan START NUMBER OF VESSELS FLEET CHARACTERISTICS Not Used Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY Not Used Not Used Baltistan MAXIMUM TOTAL A
180. SONAL CLOSURE Regime 2 Scandinavia Gotland MAXIMUM NUMBER OF SEA DAYS Regime 2 Scandinavia Gotland SEASONAL CLOSURE Regime 2 Scandinavia Not Baltic MAXIMUM NUMBER OF SEA DAYS Regime 2 Table 2 15 1 Tables in the technical management measures input sheet S014 TEMAS 110 TEMAS Manual 18 February 2008 RUN INFORMATION Date of this run E Ii 16 47 Name of Run Param Created EZ E 00 00 File Hame DEMON 5 Migs Table 14 1 MINIMUM LANDING SIZE 2000 2000 2000 e 2001 e 2001 2001 2002 2002 Fer 1 Fer 4 Fer Ferz Fer 4 Fer 1 Ferz 13 West Cod West Baltic E West Cod East Baltic west Cod Baltic ES West Cad Bornholm Tr west Cod Gotland East cad west Baltic KI East cad East Baltic 20 East cod Mot Baltic 21 East cod Bornholm 22 East cod Gotland M 4 k M 512 DEMON 513 TABLES X514 TEMAS 51 lt Figure 2 15 2 Minimum landing sizes Lgt St y q Ar Min Figure 2 15 2 EXCEL Table 2 15 2 shows the minimum landing sizes Lgt St Ar The fish below the minimum allowed landing length is named undersized fish The influence of minimum legal landing Lgt St Ar size is accounted for in TEMAS in two ways 1 The choice of mesh size and thereby the choice of gear selection parameters 2 The discard model practice If the minimum landing size is smaller than LGT the length at which 25 are retained
181. Select menu Figure 4 2 2 shows the user forms by which you can start the simulation by clicking on compute There are two user forms from which the computations can be started in the calculation module The first menu SELECT SIMULATION TYPE lets you choose between deterministic stochastic simulation and in case of stochastic simulation you can choose between single simulation and multiple simulation The second menu SELECT OUTPUT in Figure 4 2 2 starts the computation of single simulations which produces a suite of detailed output The form is used to select output and to start the computations Once you are in the scope of user forms you loose access to the spreadsheet but you can at any time easily toggle between user forms and spreadsheets You go from sheets to user forms by clicking on the green button with the Fish school and Start on it You leave the user forms by clicking on the Go to Sheets button or the X in the upper right corner of the form As an example of a user form Figure 1 3 5 shows the form for entry of stock structured input Changing parameter values of the worksheet cells in TEMAS INPUT will have an effect on the simulation results only after the modified parameter values have been copied to the disk files from which the computation module of TEMAS takes its input 163 SELECT SIMULATION TYPE 43 4 iist of Tables 13 Goto Mal menu B Do nat show messages B Tuning of Mod
182. Stocks 2 Areas dt 1i 4 years Parameters Created 1922001 21 32 File Mame 4 TOTAL OBSERYED AND CALCULATED STOCK FISHING MORTALITY Summed over fleets areas and time periods Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Cod Observ 8000 8000 8000 8000 3000 8000 2000 8000 2000 8000 Cale 7750 4433 66932 2298 6316 23755 2583 2523 1783 Observ 5000 5000 5000 5000 5000 5000 S000 5000 5000 5000 Calc A844 4648 4386 4183 23898 3947 2353 1371 1577 1115 Differences TOTAL OBSERYED AND CALCULATED STOCK FISHING MORTALITY Summed over Fleets areas and time periods Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 Cod x Diff 3 1 7 1 12 3 16 3 220 211 5 gt 24 60 6 685 77 7 Plaice gt Diff 3 1 7 1 12 3 16 3 220 211 523 606 685 777 TOTAL OBSERYED AND CALCULATED LANDINGS WEIGHT Summed over Fleets areas and time periods Year 2000 2001 2002 2003 2004 2005 2006 2007 2008 2003 Cod Observ 82430 E2430 62420 62430 562430 62430 52430 52430 62420 52430 44 Cale 2001 5889 4798 4357 4005 4000 2617 2713 2725 2451 Observ 61473 61473 81473 81473 81473 61473 81473 81473 81473 61473 Calc 656 574 535 513 498 521 343 343 330 283 Differences TOTAL OBSERYED AND CALCULATED LANDINGS WEIGHT Summed over fleets areas and time periods 48 Year 2000 2001 2002 2003 2004 2005 2006 2007 200 2009 50 Cod x Diff 87 2 30 6 923 8 0 93 6 9 6 35 8 35 6 95 6 96
183. TONING 2 u aqsu 99 2 14 OBSERVA HONS INPUT OBS iresi Ea io iiaii 104 2 16 INPUT OF HARVEST CONTROL RULES 15 nsn 119 205 LOGT OF TABLES 913 TABLE 0 124 2 18 PARAMETERS USED TO CREATE STOCHASTIC 5 126 EXECUTION OF A SIMULATIONu T P 128 129 2 TOIMULA TION uuu u u uuu E E 130 3 3 SELECT OUTPUT FOR SINGLE SIMULATION a aaa 131 INCLUDE EXCLUDE BEHAVIOUR RULES 9 ul uuu 136 SELECT OA PE ee eee 137 3 6 MAIN MENU FOR CALCULATION MODULE 138 3 7 MULTIPLE STOCHASTIC SIMULATION ssesciccetensucdcsidanndeaspimcceensansdouesseudeasdacndendpiecdnebdeusdatuehesduamseendeneiweensdetmeaucde 142 20 BRILEIMILOSNUMI 9 144 4 1 SUMMARY OUTPUT FROM SINGLE 000 2 0 erne 147 3 2 GRAPARICAL OUTPUT FROM TEMAS 2 iu postu 150 4 3 DETAILED BIOLOGICAL OUPUT FROM SINGLE SIMULATION
184. Tablel5 3 2 5 RELATIVE STABILITY HARVEST CONTROL RULES summed over areas East cod 203 15 4 1 5 RELATIVE STABILITY HARVEST CONTROL RULES by country West Cod 204 Tablel5 4 2 5 RELATIVE STABILITY HARVEST CONTROL RULES by country East cod Table 2 16 1 Tables in the harvest control rule input sheet S015 119 333 TEMAS Manual 18 February 2008 B D E F G H HARVEST CONTROL RULES J K RUN INFORMATION Date of this run E E ri 10 47 EH of Run Param Created LIL T 00 00 File Name DEMON 5 Mig3 cp en ce CT HR 5 c Table 15 1 HARVEST CONTROL RULES OF PRECAUTIONARY APPROACH 2000 2000 2000 2000 2001 eun 2001 2001 2002 2002 12 Fer Per z Per 3 Per 4 Per 1 Ferz Pers 4 Fer 13 West Cod 14 West Cod Flim 15 West Cod Blim 16 West Cod West Cod Exceed factor west Cod Adapt 4 Vlas TAC 19 west Cod dapt A 4 down 20 East cod Fpa z East cod Flim zz East cod Blim East cod 24 East cod Exceed Factor eb East cod Marx TAC up eb East cod Adapt A Mas 1 dawn Em Harvest control rule af the precautionary approach F Fpaif Biomass gt Bpa F if Biomass lt 4 k 513 TABLES Arka 514 TEMAS 4515 xl Figure 2 16 2 The comment below the table says Harvest control rule of the precautionary a
185. Tech Dieu G0 esp u Tech Dev Riq Effect CJ St Dev Q Relative standard deviation of catchability used for stochastic simulation Biom Param Parameter in model Q0 Biomass Biom Param Tech Dev Q0 exp y Tech Dev Rig Effect Q Q0 exp Rig Effect DIS FI Vs Rg Ct St y a q l 1 1 exp Disl Fl Vs Rg Ct St y q Vs Rg Ct St y q Lgt St a q where parameters of the logistic ogive are defined as those of the maturity ogive Thus Disl FL Vs Rg CtSt y q In 3 LGTsowpiscaras Fl Vs Rg Ct St y q St LG Tosoopiscards 5 Dis2 FL Vs Rg Ct St y q In 3 LGTosospiscaas Fl Vs Rg Ct St y q St LGTsospiscaras and LGTxepiscaras Fl VS Rg Ct Sty q St Length at which X are retained EXCEL Tables 3 2 4 5 and EXCEL Table 3 2 10 11 contain the discard parameters LG os Discards and LGT50 Discaras Figure 2 6 5 The discard parameters can be modified any time period of any year The remaining tables gives the parameters in the model that links effort E to total area fishing mortality F F Fl Vs Rg Ct St y a g Ar E FL Vs Rg Ct y g Ar FL Vs Rg Ct St Ar 2 FL Vs Reg Ct St y q Ar B St Ar 4 1 oe FLVs Rg St x SEL FI Vs Rg Ct St y a q Eg FI St y 50 TEMAS Manual 18 February 2008 Table 3 2 1 Baltis
186. The economic model calculates the cash flow revenue costs for each time period and eventual it computes the net present value over the time horizon simulated The economic model was designed by Mr Rolf Willmann of the fisheries department of FAO Rome Sparre and Willmann 1993 The key performance measures of project analysis are the net present value NPV equal to the discounted net cash flow The NPV is defined Value NPV r gt Y first 1 py oe where r is a user defined input parameter the discount rate The discount rate is country specific and model specific as appears from Figure 2 10 2 which shows the input table for Discount rates m INPUT RELATED TO ECONOMY 1 2 3 4 5 T 8 Table 7 1 RATE OF DISCOUNT Baltistan Scandinavia A FINANCIAL AMAL SiS OF FLEETS GOVERNMENT BUDGET 515 C ECONOMIC ANALYSIS Discount rate of 3 economic analyses For calculation of net present value Ur M 4 k H4 PRICES 4507 ECONOMY S08 TRIP 4 ll Figure 2 10 2 Rate of discount The explanation below EXCEL Table 7 1 says Discount rate of 3 economic analyses for calculation of net present value Unit Per year absolute number not percent There are 3 economic analyses A FINANCIAL ANALYSIS OF FLEETS The financial input parameters to analyse the finacial performance of fishing fleets i e from the point of view of vessel owners B GOVERNMENT BUDGET ANALYSIS The financial input
187. Tl rmm 0 0 0 0 37 Bornholm Baltistan Trawler Baltistan Large zTl mm 0 0 38 Gotland Baltistan OB Trawler Baltistan Large lt 110mm 33 west Baltic Baltistan DE Trawler Baltistan Large 110mm 0 3575 0 7594 0 6139 0 1316 0 6671 4 East Baltic Baltistan Trawler Baltistan Large gt TOmm 0 0 0 41 Mot Baltic Baltistan OB Trawler Baltistan Large gt 110mm 0 0 0 0 42 Bornholm Baltistan OB Trawler Baltistan Large gt Tl rmm 43 Gotland Baltistan OB Trawler Baltistan Large 110mm 44 West Baltic Baltistan Gillnett Baltistan Small ti rnm 0 332 24298 20442 0 5122 1 3946 4h East Baltic Baltistan Gillmett Baltistan Small Tl rmm 46 Baltic Baltistan Gillnett Baltistan Small lt 110mm 47 Bornholm Baltistan Gillnett Baltistan Small lt w M 4 k H Annual SSD Period SSD f Annual Land Period Land Annual Obs Z Period Obs Z1 4 I 1 5 HH YG EE TEMAS Manual 18 February 2008 East gue DE Aggregated ae m 11 m I 11 f qui m T I qnp n a npo gm n quo agni m m
188. Trip related rules EXCEL 2003 M5 Visual Basis 6 3 TEMAS 27 EN e M Rumu 5 SET Figure 2 11 1 User form for entry of trip behaviour related parameters Index EXCEL Table Table 8 1 NAMES OF TRIP BEHAVIOUR RULES AND CHOICES Table 8 2 Baltistan TRIP BEHAVIOUR COEFFICIENTS OF R U M Table 8 3 Scandinavia TRIP BEHAVIOUR COEFFICIENTS OF R U M Table C 2 11 1 Tables in the trip behaviour input sheet S08 TRIP RU 88 TEMAS Manual 18 February 2008 c D E F G H J L INPUT RELATED TO TRIP BEHAVIOUR RUN INFORMATION Date of this run 02 07 2007 10 54 Name of Run Param Created 12 00 00 AM 00 00 File Hame DEMON 5 Mig the option to apply the behavioural rules to determine the number of boats Names of rules and names of choices are fixed inthe present version of TEMAS They cannot be given as input inthe present version Table 8 1 NAMES OF TRIP BEHAVIOUR RULES AND CHOICES Mame of Mame of Marne of Mame of Mame of Marne of of Mame of Mame of Mame of Hame of rule Choice Choice Choice Choice Choice Choice Choice Choice Choice Choice Baltistan Trip Baltistan Trawler OB Trawler Gillnett Gillnett related Rule Go Fishing Baltistan Gio Baltistan Stay Baltistan Go Baltistan Stay 17 Mo 1 Hot Go Fishing fishing in port fishing in port Baltistan Trip Baltistan
189. USER S MANUAL FOR THE EXCEL APPLICATION 5 or Evaluation Frame by Per J Sparre Technical University of Denmark National Institute of Aquatic Resources DTU Aqua Charlottenlund Slot 2920 Charlottenlund Juli 2008 ISBN 978 87 748 1 078 0 DTU Aqua rapport nr 190 08 TEMAS Manual 15 February 2008 Abstract This DTU Aqua report contains an users manual and a reference manual for the EXCEL Visual Basic implementation of the TEMAS model Technical measures Development of evaluation model and application in Danish fisheries or the Evaluation Frame EF The implementation is based on EXCEL Visual Basic because of the wide use of this software in fisheries institutes and elsewhere Microsoft Office is chosen only because of its abundance not because it is considered suitable for fisheries modelling The source code is open and the coding has been prepared with the intension that the users should be able to check it and if needed to modify it The highest level of user friendliness has been attempted in the implementation The report also contains a demonstration of the software with a set of hypothetical data The present application of TEMAS is for the analysis of the effect of closed seasons and areas in the Baltic for the recovery of the Baltic cod stocks These applications are contributions case studies to the EU FP6 Projects EFIMAS mainly Closed seasons and PROTECT ma
190. a m nn ae LENT SG pe See r Table 2 2 1 RECRUITMENT PARAMETERS 5 0 5 5 5 Biom ConstRec H S Slope Ricker 1 Coeff 2 5 RelStOev Freq Durst Bag lutst Aurocorr D Model 22 BH 1 2 2 2 coeff 3 Exp 3 4 4 4 R Yrs YTS utst Yrs Choice 23 West Cod 24 East God eh Table 2 2 2 RECRUITMENT DISTRIBUTION ON PERIODS 2 3 Per 4 23 30 Table 2 2 3 RECRUITMENT DISTRIBUTION ON AREAS 32 West Baltic East Baltic Mot Baltic Bornholm Gotland 33 west Cod 34 East cod 3n Table 2 2 4 LOW SPAWNING SUCCESS ON AREAS west Baltic East Baltic Baltic Bornholm Gotland 38 west Cod East cad 40 Table 2 2 5 HIGH SPAWNING SUCCESS ON AREAS West Baltic East Baltic Baltic Bornholm Garland 44 45 Table 2 2 6 RECRUITMENT TREND OVER YEARS 2000 2001 2002 2003 2004 2005 2008 2007 2008 2003 43 501 DIM 3502 STOCK SD3_FLEET 504 EFFORT 5D5_BOATS 506 Ps Figure 2 5 4 Second part of stock parameters stock recruitment parameters EXCEL Table 2 2 1 Figure 2 5 4 contains the parameters of the chosen stock and recruitment model There are four options and the last column Model Choice points at the selected model The four S R model options are 1 Holt BH1 St SSB St 1 stock recruitment STR SSB St y 1 51 st y mo
191. a N St A U i Where for example St y q a Ar is 3 8 Ar and the survey index is derived gt N St y q i Ar i l St y q a Ar from say catch per hour CPUEsurvey 9 St y g a Ar Max St gt CPUE St y q i Ar i Also indices of biomass or SSB be made relative and compared to indices predicted by TEMAS Sue y Qe SSB St y q SSBS St y q St 1 Y Y first q l 58 44 St q 2 _ Fishing mortality be compared to fishing mortalities estimated persons independent of TEMAS e g ICES WGs SER NS Eya Fist MEAN St ly y first q 1 Fee St 4 Wr rr E 1 INPUT RELATED TO TUNING TUNING DATA Ed TUNING DATA EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 KR ITY AND BIC Options for Preprocessing of data B 2000 Per 4 153 st 8 45 Goto Menu B WE Mean F Tr TI Read tuning data fram disk BH D 35 20 SSB id c Read tuning input fram sheet SSE Area Bornholm 24 SSB Area Gotland M 4 k M SD9_STRUC_RU 4 910 TUNING 511 41 Figure 2 13 1 User form for entry of tuning data 100 BEER TEMAS Manual 18 February 2008 Index EXCEL Table Caption Table10 1 1 West Cod TUNING FISHING MORTALITY AND BIOMASS INDEX Table10 1 2 West Cod INDEX OF ABU
192. a File For parameters independent of year and period then there is a Files For earch year and a file For each combination of year period The File name given here is the complete file name it is used only as prefix XXXXX to the predefined data File name aces PARAM CONSTANT TAT XXXEX PARAM YX TXT or PARAM Yx Pers TAT The prefix www must contain at least 3 characters but can contain any number of characters letters and or numbers are allowed in File names but spaces and no 4 amp s c orna gt Data are stored in Folder optional directoryTdatalVxxxxxt where saana is prefix defined above for the text file names Figure 2 4 3 Name of case study explanation Click on the button Starting up a new case study with TEMAS Step I Clicking on Give name to new case study gives the input form shown in Figure 2 4 4 The name given here is BalticCod1 BalticCod indicates that the TEMAS simulation focuses on the cod fisheris in the Baltic The meaning of the number 1 is more cryptic but it might refer to the first simulation In as series of alternative simulations 21 TEMAS Manual 18 February 2008 ENTRY NEW CASE SYSTEM DIMENSIONS NEW CASE DIMENSIONS fF Version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 File list Main Menu B SIEP 1 Give name to new case study B Not Done Read basic dimensions gt Not Done CREATE N
193. able 3 3 2 Example of stock structured output Stock numbers Biomass 55 from worksheet Stock Output by time period here by quarter Figures 3 3 3 4 shows examples of output tables which are less aggregated than Tables 3 3 1 2 which refers to all fleets and areas combined Figures 3 3 3 4 are tables from worksheet Fleet_ Output Figure 3 3 3 refers to one selected fleet whereas Figure 3 3 4 refers to a combination of selected fleet selected area Figure 3 3 3 gives the results by time period whereas Table 3 3 4 give result by year The numbers caught from Table 3 3 4 are given a graphical presentation in Figure 3 3 1 152 E ir Trawler catching Cod 661 DISCARDS Deterministic 662 FOER ZEGE FRET CUBA FREE 2 Fods 0 5 8 5 7 47 44 4 3 26 18 15 0 3 664 T2 148 81 150 123 1180 11 3 5 8 4 8 4 0 23 855 13 426 434 358 234 274 270 1 amp 4 14 37 666 T4 882 844 740 553 238 203 T i 1 1 1215 1397 1335 1083 92 898 550 274 298 17 0 T 138 1614 1613 126 00 1034 65 7 451 353 208 563 T3 2 0 1293 4238 1022 330 S56 284 308 180 T4 66 0 764 77O 526 2544 200 118 671 aT 1 333 10 355 253 T1 100 5 5 T2 M5 97 158 353 30 ns E 1 5 0 29 673 T3 6 4 6 0 5 8 5 8 5 3 3 6 25 25 14 T4 28 26 34 3
194. acted from the logbooks The same model is used for both prediction and estimation Xcatculatea depends on the indigenous parameters and x is minimised with respect of the indigenous parameters Indices is a subset of the indices available in TEMAS The most detailed version of Eq E 1 2 1 is achieved with the 14 1 Explanation Note that the sequence of indices will be 1 Age group a 0 1 2 amax St Fl Vs Rg Ct St y qa Ar for all variables 2 A Area APH 1 2 Arme Cte 1 Time variables in alphabetical order 168 EM TEMAS Manual 18 February 2008 complete set of all indices used in TEMAS i e Fl Vs Rg Ct St y a q Va is given by Eq E 1 2 2 Ct FI Ct VS Max FI Ct R8 FI Ct St yay Y last St d Max Ct Fl Arya 2 gt gt 2 2 2 2 2 2 gt Ct l Vs 1 St 1 Y first a q l Va Ar 1 FL VS Rg Ct St y a g Va Ar FL Vs St y a q Va Ar 1 2 2 1 2 Y FLVs Rg Ct St y a q Va Ar y FL Vs Rg Ct St y a q Va Ar y FL Vs Rg Ct St y a q Va Ar Discards Discards yo FL Vs Rg Ct St y a q Va Ar Discards Eq contains the sum of squares of deviation SSD for both landings and discards for each vessel age group Removing the discards which are usually not rather never direct observations as well as the vess
195. acteristics are given in EXCEL Table 5 2 Figure 2 8 2 Length Tonnage and KgWat The column Index Max Charact indcates the it is characteristics no 2 that is tonnage which is used to define the Maximum regulation Only one choice 1s available 67 4 A TEMAS Manual 18 February 2008 a See Sa ZP T Se RU T TIPI ES INPUT RELATED TO NUMBER OF BOATS RUN INFORMATION Date of this run 05 05 7007 15 52 EH Hame of Run Param Created 12 00 00 AM 00 00 File Hame DEMON 5 Migt behavioural rules are applied to determine the number of boats Table 5 1 NUMBER OF FLEET CHARACTERISTICS LEVEL AND INDEX OF MAX TOTAL CHARACTERISTICS Mumber of Level flax Indes Mlay Charact Charact Charact lax level charac refers to the maximum allowed zum over of characteristics over all indice Humber Level Index I E Index Islan Charact indicates the selected characteristics ro be used in the definition of lay lumber of Fleet characteristics vessel length tonnage engine power etc see nest table There are 3 possible levels used for definition of maximum allewec Table 5 2 NAMES OF FLEET CHARACTERISTICS 20 1 21 2 FE Selected characteristics Used for definition of maximum allowed total summed characteristics e g the definition of mas number of Fishing lic 22 Mame Mo 3 23 4 Not used 24 5 Not used
196. ader 15 referred to the report on the TEMAS model NE SAN EN CRESS ENE 1 STOCK STRUCTURED INPUT RUN INFORMATION Date of this run 17 04 2007 16 24 EH Name of Run Param Created 12 00 00 AM 00 00 File Name DEMON 5 Mig3 H Table 2 1 1 GROWTH AND MATURITY PARAMETERS Cond Exp 12 Loa 2 Pelaturity Lode RelSrDleu K FielStDleu C F 1 west Cod 14 East cod 16 Table 2 1 2 CONDITION FACTOR 1 2 3 4 West Cod EN East cad 3 an E LL M 4 k M4 501 DIM S02 STOCK 503 FLEET 804 EFFORT sole gt Figure 2 5 3 First part of stock parameters growth parameters The fourth column Cond Exp Refers to the exponent in the model for relationship between length and weight The other parameter the length weight relationship is the condition factor which is period specific and therefore has been given a separate table EXCEL Table 2 1 2 Mean Body weight is derived from the body length CondExp St Wet St y a q ConditionF actor St q Lgt St y a q The condition factors 1s assumed to depend on the time of the year q That means that the user has the option to let the condition factor vary over seasons of the year The condition exponent 15 assumed to remain constant during the year The columns Maturity L50 and Maturity L75 are the parameters
197. ages Message Scientific advice Ho scie gt temas Evaluation Frame for Fisheries management sgstems EE Yersion EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 2007 Marine Fisheries Department DIFRES Danish Institute of Marine Reserch Mea nm all 5 calculations for regime completed MULTIPLE STOCHASTIC SIMULATION Management Regime 1 Advice 2 To display the results of the multiple stochastric simulations please use the workbook TEMAS STO Management Regime 2 Ho ACFM Advice 3 smulations for regime 2 completed E R ure 3 7 2 a Message from stochastic multiple simulations during execution oe G a stochastic simulation messages Message Scientific advice Ho scientific advice R 2 bite Evaluation Frame for fisheries management systems Yersion EXCEL 2003 5 Visual Basis 6 3 TEMAS 27 Mar 2007 Marine Fisheries Department DIFRES Danish Institute of Marine Reserch MULTIPLE STOCHASTIC SIMULATION Management Regime 1 Advice 2 To display the results of the multiple stochastric simulations please use the workbook TEMAS STO_OUT Po Pee Pe Pe P TD mm Ems EXECUTION TIME Management Regime 2 Ho ACFM Advice a COMPLTATION COMPLETED Execution tine 32 Seconds or 53 minutes Ex k Da
198. altistan OF MEW BOATS MULTIPLIER Multiplier to raise the number c Table 4 3 BOATS Baltistan CREW PER VESSEL lumber of crew members per x s 4 S12 DEMON 4513 TABLES 4 514 TEMAS 4 5 lt Figure 2 17 3 Summary list of tables 125 gt 113 TEMAS Manual 18 February 2008 2 18 PARAMETERS USED TO CREATE STOCHASTIC FACTORS No model in fisheries can predict the exact value of any predictor To the simple model one should ideally add a stochastic term e or multiply a stochastic factor so a general stochastic model reads Model Input Parameters Output amp Or Model Input Parameters Output The stochastic term e takes an unpredictable value from a probability distribution which we may have some knowledge about Usually is assumed to be normally symmetric or log normally skewed to the left distributed in fisheries models The stochastic term accounts for all the elements not accounted for in the conceptual model If the model actually reflects the true relationship between input and output that is rarely the case in any fisheries model the Frequency stochastic term has a known mean value usually zero However the fisheries 6000 models are always incomplete with an unknown bias 5000 The deterministic model predicts a single value whereas the stochastic model predicts a probability distrib
199. altistan Gillnett Baltistan Medium West Baltic lt 110mm gt 110 mm IS a a 1s 5 3 2 5 amp 2 2 a 29 5 2 5 Figure 2 7 5 b Effort distribution on riggings after distribution on areas with focus on the structure of EXCEL Table 4 4 The table shown here represents about 40 of EXCEL Table 4 4 Baltistan Gillnett Baltiztan Medium West Baltic gt 110mm Figure 2 7 5 a and b shows the effort distribution on riggings after distribution on areas In this case there are only two riggings gt 110mm and gt 110 There fore each of the two cells for given Country Fleet Vessel Size Area sum up to 1 0 E g cells B170 and B171 sum up to 1 0 Figure 2 7 5 a shows only a minor part of EXCEL Table 4 4 Figure 2 7 5 b shows a larger part but not all of EXCEL Table 4 4 Figure 2 7 5 6 shows some 40 of EXCEL Table 4 4 which is considered enough to reveal the table structure Figure 2 7 6 EXCEL Table 4 5 shows the resulting effort after multiplication with the distribution on riggings E FL Vs Rg Ct y g Ar E E FI Vs e Ct y q o PL VS Ct y q Ar E pie piss FL Vs Rg Ct y q Ar Assessing the effect of changing effort by fleet rigging area and season 15 the key exercise of TEMAS Therefore a multiplier Xg to facilitate the manipulation of effort has been introduced Actual effort used
200. an add further details to the fleets such as gear riggings vessel size classes etc 19 RN 2 DIMENSIONS 15 Number of periods E Number of Stacks Tr 19 Number af Years File list Main Menu B Table 1 5 1 1 Denmark FLE STEP 1 Give name to new case study B Not Done 20 Da c3 2 653 55 02 P TS PE LT Po ca en P es M o4 k M Table 1 1 BASIC DIMENS m Mumber of Countries Mumber of Areas Fist Years groups Table 1 5 2 1 Germany FLE Age groups Table 1 5 3 1 Latvia FLEETS groups Table 1 5 4 1 Poland FLEE groups NEXT STEP TEMAS Manual 18 February 2008 RUN INFORMATION Date of this run 25 03 2007 of Run Param Created 25 03 2007 File Hame BaticCod ENTRY OF NEW CASE SYSTEM DIMENSIONS NEW CASE DIMENSIONS f Version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 B Mot Done Read names of stocks countries and areas B Mot Done Read basic dimensions STEP 4 Read fleet names and age groups B Not Done Read fleet dimensions B Not Done Read names og sizes and riggings B Not Done Go Back Cancel entry of new case study B raw k Old Dim S01 DIM Old Stock 502 STOCK 502_5 _ 503
201. and withdrawal NUwew vessei Fl Vs Ct q 1s the simulated or predicted number of new vessels number of investments in new vessels The simulated or predicted numbers may be either given as input parameters or be determined by the Structural or long term Fleet behaviour rules When the number of vessels are computed according to the so called structural behaviour rules they are computed as a fraction of the existing number of vessels and it becomes essential in which sequence numbers are computed The sequence of events is 1 Decommission 2 Disinvestments 3 Attritions 4 Recruitments Investments EXCEL Tables 5 1 and 2 Figure 2 8 2 contain the number and names of the fleet characteristics The values of the fleet characteristics are given in subsequent EXCEL tables Examples of fleet characteristics are Vessel tonnage Length of vessel and KgW of engine The TEMAS model allow for a user selected number of fleet characteristics to be accounted for These fleet characteristics may be used in two ways 1 The definition of fisheries regulations as in the example with tonnage above 2 Measures of fleet features used in output tables as additional information and explanation EXCEL table 5 1 contains the number of fleet characteristics and indicates which of them are used for definition of fisheries regulations As appear from EXCEL table 5 1 are three fleet characteristics The names of the three fleet char
202. ange the model behind TEMAS However once the user starts to modify the source code the Visual Basic module of TEMAS he she should assume the full responsibility for the version of TEMAS he she has created TEMAS Manual 18 February 2008 TEMAS CALC ETT o Summary economic landings Output Summary Output 2 5 Evaluation Frame for fisheries management sgstems Yersion EXCEL 2003 MS Visual Basis 6 3 TEMAS 20 Mar 2007 5 Marine Fisheries Department DIFRES Danish Institute of Marine Reserch Irus z eee Sa ee ee S MU TAE tes p aei am 1 4 _ 1 x L A TET tags E tthe HT rurai H at Fa Table 1 1 1 i Regime 1 Advice Summary of summary by fleet Fair Deterministic First and Last year Baltistan DB Baltistan Baltistan Baltistan Scandinauiz Sammenlign ved w x Trawler Trawler Gillnett Gillnett OE Trawler Baltistan Baltistan Baltistan Baltistan Scandinaviz 214 Luk Side side 2000 2009 2000 2009 12000 12 Cash Flow FINANCIAL ANALYSIS OF FLEETS 13300 43 B2377 87 288r 04 43 713 26129 13 NPY cash Flow FINANCIAL Sis OF FLEETS 5305133 0 932474 8 21415 14 Cash Flow GOVERNMENT BUDGET 515 21471 91 2T 3 5 54 102623 8 16783 15 14177E ea MEY cash Flow GOVERNMENT BUDGET ANALYSIS 4273781
203. anges in fishing efficiency over time The table for absolute catchability contains a row and a column for multipliers Figure 2 6 2 The multipliers in the row line 23 are applied to the column above and the column of multiplier column N is applied to the row The multiplier in rightmost corner is applied to the entire table The relative standard deviation of catchability amp FT St y the parameters in the model biomass OB Fl Vs Rg St dependence b S t 4 1 model of technical oe F1 Vs Rg St y and the rigging effect exp RE F1 Vs Rg St are contained in EXCEL Tables 3 1 2 and 3 1 4 Figure 2 6 3 51 EIN West Cod West Cad West Cod Weet Cod 55 West Cod E West Cod West Cod 158 West Cod 159 West Cod 160 West Cod EN West Cod West Cod East cod East cad East cod East cod East cod 168 East cod East cad East cod East cod East cad East cod East cod 152 153 154 157 152 153 164 167 Tr 171 ire 173 174 175 j qa West Cod West Cod Weet Cod West Cod 185 West Cod 186 West Cod West Cod West Cod 189 West Cod Weet Cod West Cod West Cod East cod East cod 195 East cod East cod East cad East cod N East cod Gillnett Baltistan Small Tl rmm 182 183 184 187 188
204. apter 4 8 BehavouRulesOuput The single simulation can be of the first or the second alternative The pair of deterministic simulations executes both alternative scenarios and makes a comparison This option pair of stochastic simulations draws the stochastic factors from random number generators Parameters the model which are modified by the so called stochastic factors Modified Parameter Reference Parameter Stochastic Factor The stochastic parameters are described in Section 2 18 It makes two comparative simulations and displays detailed results in the work sheets It also compares the two simulations The format of output 1s exactly the same as that for the single stochastic simulation The last option pair of multiple stochastic simulations uses stochastic input described above It makes a number of simulations the number on the user s choice and displays distributions of selected output variables in the work book TEMAS STO OUT Thus the multiple stochastic simulation repeats the calculations a large number of times say 1000 times and each time with a new set of input parameters The outputs are frequency diagrams of selected key output values The toggle button in Figure 3 2 1 lets you choose the between two options for the creation of effort by fleet area and time period 1 Give all efforts as input parameters in module TEMAS INPUT 2 Let the effort be determined b
205. ard output tables of TEMAS It all depends on the objectives of using TEMAS in the actual situation The detailed output is thought of as a options for the user by which she he can check and assess the simulations The detailed results may reveal inconsistencies and questionable assumptions in the input parameters 154 113 TEMAS Manual 18 February 2008 4 4 DETAILED ECONOMIC OUPUT FROM SINGLE SIMULATION The economic output combined with a few biological summary results is considered the principal output of TEMAS as explained in Section 3 1 This section present some detailed economic results as well as some results of a technical employment biological nature Table 3 4 1 shows an example of fleet specific economic output from a single deterministic simulation In this case it shows the two financial analyses and the economic analysis for the trawler fleet together with some additional information The economic analyses are explained in detail in the theoretical paper on TEMAS The economic results are shown for each fleet Table 3 4 1 as well as for all fleets combined in the summary outpt The additional information for the fleet specific economic analysis Table 3 4 1 shows the total landings the value the CPUE Catch Per Unit of Effort the Val PUE Value Per Unit of Effort for each stock In the example of Table 3 4 1 there are two species Cod and Plaice The additional information thus is summary of the bi
206. arge Ti Gillnett E altistan Small r Gillmett Baltistan Medium Gillnett Baltistan Large DE The maximum number af effort units Say days per time unit vessel oF the Fleet can exert This parameter defines the efhort capacityT rh M 4 k M ark Z Arka 504 EFFORT X505 BOATS 506 PRICES Z 5 lt gt Figure 2 8 3 Crew per vessel and maximum number of sea days per period Explanation below EXCEL Table 5 4 3 Number of crew members per vessel used to define employment There is a crew number for each period of each year Explanation below EXCEL Table 5 4 4 The maximum number of effort units say days per time unit a vessel of the fleet can exert This parameter defines the effort capacity There is a value of this parameter for each period of each year Figure 2 8 4 shows the Number of disinvestments or vessel withdrawals NUwitharawai Fl Vs Ct y q Va EXCEL Table 5 4 5 number of attritions NU Attrition Fl Vs Ct y q Va EXCEL Table 5 4 6 and number of decommissioned vessels NUpecomm F1 Vs Ct y q Va EXCEL Table 5 4 7 The input values of removals NUwitharawail Fl Vs Ct Va NUattrition Fl Vs Ct y Va and NUpecomm FI Vs Ct y should match the number af vessels in the sense that the number of removal connot exceed the current number of vessel NUvesse Fl Vs Ct y Va 71 EE TEMAS Manual 18 February 2008 When calculation the resulting number of vess
207. asy to access The options for calibration data are 1 Catches Landings and discards on various dis aggregation levels From Fl Vs Ct St y q Va Ar to St y These data are entered through worksheet 511 OBS 2 Index of stock numbers from research vessel survey or from catch per unit of effort of commercial vessels 3 Index of stock biomass or SSB from research vessel survey or from catch per unit of effort of commercial vessels 4 Mean stock F Fishing mortality from for example fish stock assessment of ICES working groups The r for landings summed over age groups is Fly Ct VS Max FI Ct R8 Max FI Ct Stax last d Max Ary gt gt gt Y gt gt gt 1 1 Rg l 91 1 Y Y first 4 FL Vs Ct St y e g e Ar J FIL Vs St y e g e Ar Landings Landings Fl Vs Rg Ct St y e q e Ar Landings summed over vessel age groups and fish age groups are the observations expected in the current version of TEMAS These data are entered in worksheet 511 OBS 99 EM TEMAS Manual 18 February 2008 The index of stock numbers can be catch per day by age group converted into relative numbers to make them compatible with relative numbers predicted by TEMAS Wus Qua CD Nra St y q a Ar St y q a AV 2 Calc St 1 Y first q 1 a l IN s St y q
208. ate the management procedure than the eco system it is still a lot more difficult than simulation a cockpit The physical flight simulator Figure 1 1 2 may be considered the parallel to the source code of the Evaluation Frame If you are a designer of the flight simulator or the evaluation frame you must master the bricks from which the thing is build But the features that there is no relationship to the real world and all input and output is created inside the simulator are the same for Evaluation Frame and Flight Simulator f The idea with the Evaluation Frame 15 to glve the B managers the opportunity to test alternative T management strategies which may or may not lead M f catastrophe Figure 1 1 4 The philosophy is 4 Perea a B NS that one should never test anything for the first os bs m ea a Zs time in the real world If you cannot simulate it you should not implement it in the real world FEM TEMAS Manual 18 February 2008 Figure 1 1 4 Running the Evaluation Frame E VB Ey TEMAS_INPUT_20June01 Es E OUTPUT xi 1 3 1WNw s Fr T s Lar 1 Tables of system dimensions Dimensions HAND El TEXT FILES TEMAS RUN INFORMATION LING s Analysis of Technical Management Measures 4 Wersion OFFICE 2000 16 Apr 2001 Date of this run 671272088 me 5 Department of Mari
209. aviour in the Baltic case The structure of this table 15 the same as that for the trip related RUM Figures 2 11 3 a b 97 24 eb eb er 28 23 21 oe 93 34 35 3b TEMAS Manual 18 February 2008 Table 9 1 1 Baltistan STRUCTURAL BEHAVIOUR COEFFICIENTS OF 2000 Per Rule 1 Charact 1 Hist Cashflow Baltistan OB Trawler Baltistan Small Accept Qecomm Rule 1 Charact 1 Hist Cashflow Baltistan OB Trawler Baltistan Small Reject Diecornm Rule 1 Attrib 1 Qecommission Fee Baltistan OB Trawler Baltistan Small Trawler Baltistan Small Dis investment Trawler Baltistan Small Dis invest Rule 2 Charact Rule 2 Charact 2 Charact Rule 2 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact 1 Hist Cashflow 1 Hist Cashflow 2 d Mas Capacity Baltistan 2 d Mas Capacity Baltistan t Hist Cashflow 1 Hist Cashflow i d Mas Capacity Baltistan 2 2 Capacity Baltistan Baltistan Baltiztan Baltistan Baltiztan OB Trawler Baltistan Small Dis investment Trawler Baltistan Small Ma Dis invest Trawler Baltistan Small Investment OB Trawler Baltistan Small Ma Invest Trawler Baltistan Small Investment OB Trawler Baltistan Small Invest 2000 Per 2 2000 Per 3 2000 Fer af Rule 1 Charact 1 Hist Cashflow Baltistan OB Trawle
210. b z T z ubT i 21903 43 1645915 1zToz zz 6 4 4 k M Extral Fleet Output Z Stock Output Economic Output Summary Dutput lt gt Figure 4 1 1 First portion of Summary output with two alternatives 145 L TEMAS CALC 0 0 Table 1 1 1 Summary ot summary by fleet Table 1 1 4 Summ ary of summary By fleet Regime 1 Pair Deterministic First and Last RegimeZ Palr Deterministic First and u ACFM Advice year Ho ACFM Last year ELES FL rT L I TIL TLIdIL a TIllIL Hoi Nm i W z s domm 4 2 omm EI s lia l rl sc sm a s il Some Hee ee Foi Hiei beet eee li E uS 7 ete i free beets ee ERE m u imi ma PAra limt Jinis rex rum ur ip MH TH pM m EF ee pm DER Om DM E ars ima B L TU Pe Es Cee Fee BTS BO ee ee Ser HAT HEHE i R H fea Fess STHEN Capt mmn uds ST Ld wda T T EB asi Li T LR ska HET Lett Men M ibid 1 c Pi
211. ble The explanations to EXCEL Table 5 2 say Row 2I Selected characteristics Used for definition of maximum allowed total summed characteristics e g the definition of max number of fishing licenses Row 25 Names of Fleet characteristics such as vessel length tonnage engine power etc The explanations to EXCEL Table 5 3 say Row 30 This multiplier raises all boat numbers that is it applies to number of vessels in the first period of first year as well as the number of new vessels It applies to all fleets of all counties in all years 68 EE TEMAS Manual 18 February 2008 The maximum regulation 1s an upper limit MAL Maximum allowed level of the characteristics summed over vessels TEMAS allows for limitations of total characteristics of three levels Country Fleet and Vessel Size Level 1 Country level Ct Vs CFI Ct TT NU FI Vs Ct y CHARACT FL Vs Ct lt MALO Ct Fl 1 Vs 1 Level 2 Fleet level Vs ya FL Ct NU FL Vs Ct y CHARACT FI Vs Ct lt MAL Go ag FL Ct Vs 1 aract Level 3 Vessel size level Level 3 NU FL Vs Ct y CHARACT FI Vs Ct lt MAL haract FI Vs Ct The column Level Max Charact in EXCEL Table 5 1 indicates Level 1 that it the country level Thus there is an upper limit for the total tonnage of all vessels of each country in this example EXCEL Table 5 2 shows that there are options for up to 5 different fleet c
212. by period year and vessel age group This number may also be determined by the program trhough the so called structural behavio Table 5 4 7 Baltistan NUMBER OF DECOMMISSIONED VESSELS 98 99 n Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 2003 2003 2004 2004 200 number Pens Per Ferz Pens Pert Peri Ferz Pens Pert Peri Per Pers Pert Ferl Per Per EN OB Trawler Baltistan Small Age 1 Trawler Baltistan Medium Age 1 Trawler Baltistan Large Age 1 104 Gillnett Baltistan Small Age 1 105 Gillnett Ealtistan Medium Age 1 106 Gillnett Baltistan Large Age 1 107 Mumber of vessels withdrawn due to decommission a government buy back programme This number may also be determined by the program trhough the so called structural 108 l 4 k h Arki g S02 STOCK 4 503 FLEET Arke 4 S04 EFFORT 4505 BOATS 506 PRICE gt Figure 2 8 4 Number of disinvestments number of attritions and decommissioned vessels Explanation below EXCEL Table 5 4 5 Number of vessels withdrawn due to low cash flow by period year and vessel age group This number of vessels may also be determined by the program trough the so called structural behaviour rules Explanation below EXCEL Table 5 4 6 Number of vessels withdrawn due to old age by period year and vessel age group This number may also be determined by the program trough the so called structural behaviour rules
213. by the gear if encountered Lgtr St Ar gt LGT Fl Vs Rg St Ct y then few undersized fish will be caught The discard practice TEMAS can be determined in two ways 1 Using the behaviour model RUM for discard practice 2 Not using the behaviour model for discard practice 1 e use a fixed assumption for discard practice The model of option 2 lets all undersized fish be discarded in case the behaviour model for discard practice is turned off One of the choices available for discard practice is to let all undersized fish be discarded The model reads Section A 3 2 111 TEMAS Manual 18 February 2008 DIS St Fl Vs Rg y a q Ar 1 exp Disl Fl Vs Rg St 0152 Vs Rg St y Lgt St a q if Lgt St a q gt Lgt St y q Ar if Lgt St a q lt St y q Ar Dis1 St 3 LGT soxpiscaras St LG T25 piscaras St LGT socmpiscards St Dis2 St In 3 LG T25 Discaras St LGT so piscards St and LGT xegpiscards St Length at which X are retained E Table 14 2 1 1 1 1 Baltistan Wast Baltic MAXIMUM NUMBER SEA DAYS BY REGULATION Fleet V Size Rig Country Area Regime 1 Parl 2000 Per XXX Ferd AO Ferd 2001 Feri 2001 Pee 2001 2001 Par 4 Fee 2000 Per 2007 Par3 2007 Trad Senall 110mm i Ira Small gt 10min Tred L ge 110mm Tremi Large 1110r
214. ce effort with about 2 2 96 Reduction factor 0 977 Now you may not want all these massages there may be many of them and you can suppress them by clicking on Cancel That will suppress all the following messages Input effort exceeds capacity ear 2001 Fleet Trawler Effort 154037 Period 1 WBINE Capacity 150562 5 Areas dt 1 4 ves 201 Reduction Factor 9774438 2008 200 8122 ggr0 5 11310 Ves Cancel 006 0 ABE Lo 4730 6 5189 1833 2813 4 3252 610 1 81 5 315 4 ood 1006 2 1402 5 1920 Figure 5 5 1 that input effort has exceeded the capacity of a fleet Compare Table 4 5 1 Clicking on cancel however will only make the messages not appear on the screen Messages will always be kept in two text files RULES MESSAGES and RUN MESSAGES in directory TEMAS The file RULES MESSAGES contains a message for each time a behavioural rule of the industry Sections 2 11 and 6 6 The text file RUN MESSAGES contains all other messages The message shown in Figure 4 5 1 will go to text file RUN MESSAGE Table 4 5 1 shows an example of the contents of RUN MESSAGES Whenever you start a simulation these two text files will be deleted and overwritten with the new messages 166 EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT EFFORT
215. ce has shown that some knowledge of VB programming 15 very useful or rather it is almost a prerequisite for a successful execution of TEMAS TEMAS 1s implemented in the form of 4 independent workbooks 1 TEMAS INPUT entry of input to TEMAS 2 TEMAS CALC Simulations and output from TEMAS 3 TEMAS STO OUT Stochastic simulation output 4 TEMAS TUNING calibration of parameters 113 TEMAS Manual 18 February 2008 TEMAS INPUT must be executed before TEMAS CALC as will be further explained in Section 4 Most often you will run the two workbooks in parallel Figure 1 2 1 You will make changes to the input parameters by TEMAS INPUT and then you will move to TEMAS CALC to make a simulation with the modified parameters The module TEMAS TUNING is optional and may be used to condition the model the parameters on a suite of observations 1 3 INSTALLATION AND START UP OF TEMAS As TEMAS is implemented in EXCEL 2003 MS Office 2003 you need MS Office 2003 or later on your PC to run TEMAS You may downgrade TEMAS to MS Office 97 8 and it appears that the workbooks are still working properly however this has not been thoroughly tested TEMAS DEMO Filer Rediger Vis Foretrukne Funktioner Hj lp Tibag d yp S80 2 Mapper Fi adresse D cemas Demo C S Mapper Navn St rrelse Type ndret den Skrivebord Data File Folder 20 03 2007 20 13 3 Dokumenter EXTRAS File Folder 28 03 2007 18 27 8
216. cells are those to fill in with numerical values The column index in Table 2 5 1 1s simply to count the number of tables in the input module of TEMAS As will appear there is a total of 204 input tables in this demonstration example With more dimensions the number and the size of Tables will increase That 1s one reason why the full data set for the Baltic is not used for demonstration The first item 1n Table 2 5 1 1s the table for input of growth and maturity parameters EXCEL table 2 1 1 in Figure 2 5 3 The first three columns in WXCEL Table 2 1 1 contain the three von Bertalanffy growth parameters by species Mean Body length of stock St in the middle of time ee 99 period q of year y of age group a LGT St a y 1s given by Lgt St y a q Loo S1 l expl K St Age a q qa Tzero St The age of the fish or cohort in units of years is defined a q qa 0 5 dt ifa lt 2 Age a q qa a da St q 0 5 dt if a22 dmax where day St gt qa 1 RecDistPeriod St qa qa l 35 EM TEMAS Manual 18 February 2008 RecDistPeriod St qa 15 the fraction of the annual recruitment which occurs in period qa from which the mean time at recruitment damean st is derived to be defined in connection with EXCEL Table 2 2 2 This is the basis of age allocated to fish at age 2 and older For details behind the definition of growth parameters and all other parameters the re
217. city from agga 14 Fl Out Area Annual Fleet output by area summed over periods worksheets i agg Per Ar Fleet out 27031 20546395 Sefect Output 3530 2 2638 4 2633 5 1254 2 3131334 3162767 2440262 2455017 1893551 1623504 1355435 Mean Value kg 211 13 ah2 88 553 33 aab r 908 02 324 83 347 30 363 47 383 00 1000 3 Mumber af Crew EIE 3038 TESZ 10300 a 12242 ee trai 4n Mumher nf Raats I4 4 M Summary Output NPV 14 Figure 5 4 1 The menu for selection of simulation type with an example of help text box compare Figure 2 7 2 165 FEM TEMAS Manual 18 February 2008 In addition there are two options for creation of effort capacity input See Figure 4 4 1 which are 1 Use the Effort Capacity rules to let TEMAS determine the effort and number of vessels 2 Head effort and number of vessels from the worksheets After you have selected the simulation type you can proceed with the selection of output tables As shown in Figure 4 2 1 in the case of single simulations 5 5 RUN MESSAGES When you start a simulation with TEMAS it will sometimes produce messages on the screen as the calculations proceed Figure 4 5 1 shows such an example Here it tells you that the input effort exceeds the capacity for trawlers in first time period of year 2001 Then TEMAS will reduce the input effort to the capacity by application of an effort reduction factor in this case it will redu
218. d MAXIMUM NUMBER OF SEA DAYS Regime 1 mk Fa ra Fa F mm m ms Sa or mee oe l k L K E m m wher afara daga ginra kq rrqulalin Table 14 2 1 1 4 2 Baltistan Gotland SEASONAL CLOSURE Regime 1 Traul Small 411 Traul Small ie Tra Larger 111 Tra I Large dila Gill arl Small 2428 Gill arl Small 7121 Gill arl Largr 2120 Gill srl Large Fraalins ul nrddagumiur aul aliua Hani kr wal Ea d Talal alee ind slssarr m nlnurdinlkr ahere Table 14 2 1 1 5 1 Baltistan Not Baltic MAXIMUM NUMBER OF SEA DAYS Regime 1 r Effarl Hanimum EF Ford in of Finkinn daga Traul Small 2448 Traul Small 2 118mm Traul L 1 Traul L 111 Gill arl Small cizlmm Gill arl Small Gillarl L 110 Gillarl L zi somber nF dawn wimrm hn rrqulalinn Table 14 2 1 1 5 2 Baltistan Not Baltic SEASONAL CLOSURE Regime 1 Traul Small 2134 Traul Small 1 Traul L Inm Traul L dilas Gill arl Small Gill arl Small gt 12 Tan Gill arl L 110 Frimliun aF ara damu hu Haal br ininlrrnal ji d 1 1 nlunurr u rulirr prrind 1 nluuurr lt 11 nlnurdinlke Fr FLER Furl ubrrr At nuiluuF Finking dagal 113 Figure 2 15
219. d TEMAS CALC All tables have got assigned a unique number with a hierarchical structure such as Table 3 4 2 1 for Work sheet no 3 Fleet No 4 Stock No 2 and Area No 1 The first 8 rows of the worksheet is the heading for the worksheet see example in Figure 2 2 2 All worksheets of TEMAS has a similar heading The first line 1s the title of the worksheet Cells A2 A6 contains the program identification The most interesting part for you 1s probably cell A4 which contains the version number of TEMAS Versions are simply indicated by the data of release B B D F DIMENSIONS RUN INFORMATION Date of this run 22 03 2007 19 31 Name of Run Param Created 12 00 00 AM 00 00 File Name DEMON 5 Mig3 Figure 2 1 2 Example of the worksheet heading heading for worksheet Dimensions Cells G2 J7 contains Information on the current case Cell 15 contains the Name of Run which can be text string on the user choice which may help her him identifying the case study In TEMAS CALC the Name of Run can also be used to lable alternative runs with the model In this example only a part of the Name of Run 15 shown in Figure 2 1 2 The file name Cell I7 is the name of the text file in subdirectory Data which contains the input parameter values Her the name is DEMON 5 Mig3 which is a set of fake data prepared by the program for demonstration purposes only Th
220. d to click on New case other worksheets will have only one button to read the content of the worksheet and that option will read all input values of the worksheet The dimensions however have a different status compared to other input The dimensions will change the format of all input tables so changing the dimensions 15 a different concept compared to changing the non dimension parameters which you can modify without influencing the values of other parameters Which units to use for numbers length and weight are entirely up to the user of TEMAS It is not essential for the calculations which units are used cm mm gram kilo tons thousands millions etc It 1s the users responsibility to secure that the units are matching each other This applies to input as well to output As will appear TEMAS never assigns units to variables or parameters The only unit which is fixed 1s that of time Here is used the unit of one year as is the tradition in 16 EM TEMAS Manual 18 February 2008 fish stock assessment Thus all mortality rates as well as discount rates are given in the unit per year 2 3 DEMONSTRATION EXAMPLES OF TEMAS The TEMAS program contains two pre prepared fake LJ TEMAS DEMO demonstration examples Data DEMON 4 Migl and DEMON 5 Mig3 Each demon DEMON 4 Mig stration data set is stored in sub directory in the El 2 DEMON 5 Mig3 DATA directory DEMON 4 Mig is the all purpos
221. del 1 BH2 St SSB St y 1 where BH1 St and BH2 St are the parameters PA Hockey stick If SSB gt HSBiom St then stock recruitment STR SSB St y l e e HSConRec St model 37 113 TEMAS Manual 18 February 2008 If SSB lt HSBiom St then STR SSB St y 1 e e HSSlope St SSB St y 1 e e where the parameters are HSBiom St and HSConstRec St The slope is not a parameter as it is defined by the two parameters HSSlope St HSConstRec St HSBiom St 3 Ricker STR SSB St y 1 e e stock recruitment model Ric ker Coeff St SSB St y l e e exp Ric ker Exp St SSB St y 1 where the parameters are RickerCoeff St and RickerExp St 4 Deriso Schnute stock STR SSB St 1 DSCoeff St SSB St y 1 6 6 recruitment model DSExp S 1 DSCoeff 2 St SSB St y le e 1 0 where the parameters DSCoeff1 St DSCoeff2 St and DSExp St It is only required to fill the parameters matching the choice of model Parameters of other model be assigned any values as they are ignored by the program the example of EXCEL Table 2 2 1 the Beverton and Holt model Model no 1 is chosen Parameters of other models zero The names of stock and recruitment parameters are explained in Table 2 5 2 Comm S Ricker oeit S Fist cocficientin Dersoschnutemodel S Second
222. dium west Baltic Medium East Baltic Medium Baltic Medium Bornholm Medium Gotland Value Landings Baltistan Gillmett Baltistan Medium 1 1 Tradition 1 1 Tradition 1 Tradition Tradition Tradition Baltistan Baltistan Baltistan Baltistan Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltiztan Gillnett Baltistan MPA Baltistan Gillmett Baltistan Medium 1 Tradition Baltistan Gillmett Baltistan Large Go Fishing 1 Tradition Baltistan Gillmett Baltistan Large Stay in port Expected value Landings Baltistan Gillnett Baltistan Large 1 1 1 1 1 Tradition Tradition Tradition Tradition Tradition Baltistan Baltistan Baltistan Baltistan Baltistan Gillnett Baltistan Gillnett Baltiztan Gillnett Baltistan Gillnett Baltistan Gillnett EBaltistan Large Large Large Large Large West Baltic East Baltic Baltic Bornholm Gotland Value Landings Baltistan Gillnett Baltistan Large Attrib 2 MFA Baltistan Gillnett Baltistan Large Baltistan 2000 Fert 2 02 3 34 03 0 01981 2 75E 02 4_86E 02 2 1 02 0 031443 2 09E 02 4 2 02 3 02 2 21 02 3 30 02 4 86E 2 4 02 02731 1 35 02 4 80E 2 2 56 02 T 52E 03 4 00E 02 3 37 02 147E 2 2 13 02 1 74 02 1 33 02
223. e Ae Age 1 Bae 1 Da KP Aqe 1 Aiqe 1 Table 2 5 4 East cod MIGRATION AGE GR 2 WEST Bu EAST BALTIC Bun NOT BALTIC FROM BORNHOLM FROM GOTLAND Fer 1 Fer 1 From Fer 1 Fer 1 From Fer 1 Fer 1 Fer 1 From Fer 1 fFer 1 1 1 Fer 1 Fer 1 From Work From From From Hort From From From From From Fer d fFer 1 Fer 1 Fer 1 From Fer 1 Merk Wark Baltic Wert Eart Ealtiz Hot Mot Enrnhnl Enrnhnl Eornhol Enrnhnl From From From From Gotland From Ealtiz tn Ealti i Ealtiz tn i Ealtiz Ealtiz mtn mto m ko mto Gotland Gotland Gotland to Gotland toot Enrnhnl to toEart toot Eornhol to knEark toHot Enrnhnl to Work Hot Eornhol mtn kn Markt toEark tnlint Enrnhnl to Baltic Ealtic Gotland i Baltic Baltic Gotland i Baltic Ealtiz Gotland Baltic Baltic Baltiz Gotland Baltic Baltic Ealtiz Gotland Figure 2 5 7 b Third part of stock parameters Migration coefficient for Eastern Cod first period The EXCEL sheet is reduced to a size so that all From area s are displayed Details are not detectable Table 2 5 3 East cod MIGRATION AGE GF 0 1 1 Fer 1 1 1 1 Per 1 From 1 1 Per 1 1 From 1
224. e j Multiple Output demonstration example whereas DEMON 5 Migj is an 3 C Help example with a number of features that resembles the HELP CALC Baltic cod case study This manual uses the E HELP IMPLIT DEMON 5 Mig3 demonstration example to illustrate the TEMAS software D E z G H 68 59 File name DEMONSTRATION EXAMPLE No 4 WITH FAKE DATA 2 Countries Number of fleets Ct 1 2 Ct2 2 70 EXAMPLE No 4 DEMON_4_Mig1 2 Stock s 2 Area s 10 Year s dt 1 4 years No migration Default 71 Number of Countries 2 Max 5 1 Denmark 2 Norway 72 Number of Stocks 2 Max 3 1 Plaice 2 Cod 73 Number of Areas 2 Max 5 1 In shore 2 Off Shore 74 Number of Quarters 4 Max 12 75 Country 1 Denmark Number of Fleets 2 5 1 OB Trawler Denmark 2 Gillnett Denmark 76 Fleet 1 OB Trawler Denmark Number of Vessel Ages 13 15 Fleet 1 Number of Vessel Sizes 2 Max 1 Small 2 Large 78 Fleet 1 Number of Rigs 2 Max 5 1 Cod Trawl 2 Lobster Trawl 79 Fleet 2 Gillnett Denmark Number of Vessel Ages 12 Max 15 80 Fleet 2 Number of Vessel Sizes 2 Max 6 1 Small 2 Large 81 Fleet 2 Number of Rigs 2 Max 5 1 Cod net 2 Sole net 82 Country 2 Norway Number of Fleets 2 Max 5 1 OB Trawler Norway 2 Gillnett Norway 83 Fleet 1 OB Trawler Norway Number of Vessel Ages 12 Max 15 84 Fleet 1 Number of vessel Sizes 2 Max 1 Srnall 2 Large 85 Fleet 1 Number of Rigs 2 Max 5 1 Cod Trawl 2 Lobster Trawl 86 Fleet 2 Gillnett N
225. e 14 2 1 1 2 1 Baltistan East Baltic MAXIMUM NUMBER SEA DAYS BY REGULATION Fleet V Size Rig Country Area Regime 1 2000 1 2000 Per 2 2000 3 2000Per4 2001 2001 2 2001 3 2001 4 2002 2002 2 2002 3 2002 4 2003Per1 2003 Fr Trawl Small Trawl Small gt Trawl Large lt Trawl Large gt imm Gill net Small lt 120mm Gill net Small gt 120mm Gill net Large lt 120mmi Gill net Large gt 120mm P lasimum number of sea days given by regulation Table 14 2 1 1 2 2 Baltistan East Baltic SEASONAL CLOSURE BY REGULATION Fleet V Size Rig Country Area Regime 1 2000 Perd 2000 2 2000 2000 4 2001 Feri 2001Pen2 20 01Per3 2 001Per 4 2002 Ferdi 2002 2 2002 2 2002 Per 2003 Perl 2003 Trawl Small lt Trawl Small gt 110mm Trawl Large lt 110mm Trawl Large gt 110mm Gill net Small lt 120mm Gill net Small gt 120mm Gill net Large Term Gill net Large gt 120mm Fraction of sea days given by regulation Must be in interval 0 1 1 Total closure of entire period closure s 2 sz 1 closed in the s Fef Effort where Reference Effort Table 14 2 1 1 3 1 Baltistan Bornholm MAXIMUM NUMBER OF SEA DAYS BY REGULATION Fleet V Size Rig Country Area Regime 1 2000 Ferd 2000 2 2000
226. e first EXCEL tables all EXCEL tables are country specific 64 TEMAS Manual 18 February 2008 x BC INPUT RELATED TO NUMBER OF BOATS behavioural rules are applied to determine the number of boats READ NUMBER OF BOATS bacicRISTICS LEVELA Indes Charact E Number of boats Wessel length tonnage engine pc SCEL 2003 MS visual Basis 6 3 TEMAS 2 Mar EXCEL MS Visual Basis 6 TEMAS Mar ACTERISTICS erizticz Used For definition of m T 3 T rnm 4 4 uch as vessel length tonnage en Table 5 3 OVERALL MULTIPLIER FOR NUMBER OF BOATS i Boats Fraction Effort Fraction AM Mt o DENEN 1 Ft 4 k M SD4 EFFORT 505 BOATS SD6_PRIC Figure 2 8 1 Userform for entry of boat related data and parameters 80 5 4 6 Baltistan NUMBER OF ATTRITION VESSELS 86 Table5 4 12 Scandinavia NUMBER OF NEW BOATS MultS O 89 TableS 4 I5 Scandinavia NUMBER OF DIS INVESTMENT WITHDRAWAL VESSELS 90 TableS 4 16 Scandinavia NUMBER OF ATTRITION VESSELS 4 o O 96 5 5 2 Baltistan START NUMBER OF VESSELS FLEET CHARACTERISTICS Length 65 TEMAS Manual 18 February 2008 Table5 5 7 Baltistan START NUMBER OF VESSELS FLEET CHARACTERISTICS Tonnage Table5 5 8 Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTE
227. e heading gives the date and time the worksheet was created or modified last time Cell I2 and the date the parameters under the given File name were created for the first time Cell I6 In this case the date of creation 15 also fake 14 TEMAS Manual 18 February 2008 2 2 SYSTEM DIMEMSIONS OF TEMAS S01_DIM The system specification inputs are stored in the work sheet S01 DIM By the dimensions of a case study in TEMAS is meant see example in Figure 2 2 1 1 The number of stocks and the name of each stock 2 The number of age groups of each stock 3 The number of fleets and the name of each fleet 4 The number of vessel age groups of each fleet 5 The number of areas and the name of each area 6 The number of time steps per year or the basic time step dt of the simulation 7 The first year and the number of years simulated The basic time step 1s the optional division of the year Examples are dt 1 0 dt 0 25 and dt 1 12 which corresponds to using a time step of one year a time step of a quarter of the year and one month respectively The first year is the year say 1999 2001 or 2002 which you want it to appear in the output tables Its value has no significance for the simulation outputs The number of years determines the length of the time series of simulation results There will be a results for each Number of years Number of time steps per year
228. e last year of simulation In addition to first part of the summary part two gives the CPUE Catch Per Unit of Effort by stock Part 3 Table 3 3 3 gives the single simulation results for all fleets combined but now for all years in the time series Behind these summary tables of single simulations are tables with more details about the single simulations as will be exemplified in the following 147 TEMAS Manual 18 February 2008 A E ERE L D F 43 Table 1 3 FINANCIAL ANALYSIS OF HARVESTING Deterministic Trawler 2000 Trawler 2009 Gill Met 2000 Gill Met 2003 45 Gr revenue before 34333 34333 5707 46 revenue tax 1746 3 335 35 1745 3 335 35 Gr revenue after tax 33132 56371 6 33132 Barir 48 Costs of effort 6161 5 704 17 3080 7 352 08 48 Cost of landing 39 126 7 3553 30 126 7 3553 50 Crew share 4177 3 994 58 1732 5 947 96 Crew salary 6161 5 704 17 2053 8 234 72 52 Fired Costs 5250 ari 2625 295 53 Investment 0 0 0 B4 Decommission 55 Effort tax 324 22 105 63 303 07 35 208 Effort subsidy 616 15 70 417 205 38 23 472 br Licence fee 1650 182 40 Sen 60 300 Vessel subsidy 105 11 400 35 3 8000 53 Mcash Flow 3513 5 3235 2 20034 4475 8 B M P V cash Flow 535 58 3304 3 Bl Table 1 4 FINANCIAL
229. e next section 56 TEMAS Manual 18 February 2008 A B C D Ej Ses I H Ij SE SS Se j F G WB INPUT RELATED TO EFFORT RUN INFORMATION Date of this r 22 11 of Run Param Creat 00 00 FileName DEMON 5 Mig 2 Note Effort may also be defined by the effort capacity rules in which case the program will ignore the data on this sheet Effort is defined as the product of four factors 1 Effort Capacity Fl Vs Ct YOIFI Vs Ct 2 Effort Dist On Areas 5 3 Effort Dist On Rigs Given Area YO FI Vs Rg Ct Ar 4 Effort Multipliers 5 1 where FI Fleet Vs Vessel size Rg Rig Ct Country Y 2 Year q Period mo Reference effort is the efforts values from which all other effort values are obtained by multiplication by the effort Mults and distributions They equal the capacity which is defined as Capacity Number of Vessles Maximum number of days per period Table 4 1 REFERENCE EFFORT MAXIMUM POSSIBLE EFFORT For all Country Fleet V Size Ref Effort Humber of 2001 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 z003 2403 2004 Feri Pere Pens Pert Peri Pere Fers Pernt Feri Ferg Ferns Peet Feri Fers Peed Pend Ferd 23 Baltistan OB Trawler Eraltistan Small 2010 2010 2010 2010 2010 2010 2010 2144 2144 2144 2144 2144 2144 2144 2345 24 Baltistan Trawler Baltistan Medium ari ari ar
230. e of Area Figure 2 4 9 Names of stocks countries and areas Starting up new case study with TEMAS Step 3 1 DIMENSIONS ia RUN INFORMATION NEXT STEP 29 03 2007 ne of Param 25 03 2007 File Nan BalticCod Mo eT 5 13 Table 1 1 BASIC DIMENSIONS Table 1 2 STOCKS Table 1 3 COUNTRIES Table 1 4 AREAS 14 Number 15 Slumber of periods 16 Number of Stocks Tr Slumber of Countries 15 Number of Areas 13 Number of ears 20 Fist Years Age groups lumber of Fleets DIMENSIONS NEW CASE STUDY STEP 4 22 Table 1 5 1 1 Denmark FLEETS 2 Vessel Age qr 28 Table 1 5 2 1 Germany FLEETS Vessel Age qr ee Bap 2 x 33 AN Please enter names of Fleets and number of vessel age groups 34 Table 1 5 3 1 Latvia FLEETS 35 Vessel Age gr 40 Table 1 5 4 1 Poland FLEETS Vessel Age qr 46 Table 1 5 5 1 Sweden FLEETS Vessel Age qr j 52 Table 1 5 6 1 Other FLEETS Vessel ge qr en Fe igure 2 4 10 Starting up a new case study with TEMAS Step 4 25 EM TEMAS Manual 18 February 2008 With the information on the number of fleets TEMAS is now able to create the table templates shown in Figure 2 4 10 These tables are for the entry of country specific names of fleets and the number of vessel age groups TEMAS allows for an account of vessel ages e g in connection with decommi
231. ec is the number in the 0 group N St year 0 period area First step is to calculate the tuning factor 177 TEMAS Manual 18 February 2008 Total Observed Landings Stock First year TuningFactor n VC Total Calculated Landings Stock First year Second step is to change the Beverton amp Holt parameter BH1 by the tuning factor BH1 Stock is replaced by TuningFactor BH1 Stock Q New Q old Land Obs Land Calc Tune Catchability to landings This tuning uses the landings by weight for each combination of Stock fleet area and time period as input If modifies the catchabilities of each combination so that Observed landings Calculate landings for each combination The tuning factor is thus Observed Landings Stock Year Period Area Fleet Tuning Factor A lt Calculated Landings Stock Year Period Area Fleet And the computation of the tuning becomes Q catchability coefficient Q Stock Year period area fleet is replaced by Tuning Factor Q Stock Year period area fleet Q New Q old F Obs F Calc This tuning uses the total stock fishing mortality given as input Fruning The tuning changes the Reference catchability so that F caicuated Stock period Fruning Stock period Recall that Featculated Effort Reference catchability Selection First step is to calculate the tuning factor TuningFactor Fruning Stock period
232. eds not to be in action all year round It might for example be active only in period 2 and 3 Figure 2 15 5 a shows the overall structure of all MPA and all closed season parameters for all countries and two alternative rimes Figure 2 15 5 b shows the upper 25 of Figure 2 15 5 a namely the complete set of parameters for one regime no 1 one country Baltistan and all areas Scandinavia Baltistan REGIME 2 Scandinavia re ma Figure 2 15 5 a The overall structure of MPA and closed season parameters Figure 2 15 6 shows the 6 options for pre processing of minimum landing size and maximum sea days seasonal closure parameters Option 1 Make minimum landing size equal for all areas copies the parameter values for the first area to all other areas Option 2 Make maximum regulation sea days and closed seasons equal for all areas copies the parameter values for the first area to all other areas Option 3 Make minimum landing size equal for all years and time periods copies the parameter values for the first period in the first year to all other periods in all other years Option 4 Make maximum regulation sea days and closed seasons equal for all years and time periods copies the parameter values for the first period in the first year to all other periods In all other years 116 A TEMAS Manual 18 February 2008 Table 14 2 1 1 1 1 Baltistan West Baltic MAXIMUM NUMBER SEA
233. eet TEE Accept Accept Accept Accept The probabilities of accepting Ppecomm gt DPwihdrawal P Attrition D New vesse thus determines the exit entry model They can be modelled by the RUM Random Utility Model For a more comprehensive explanation of the RUM applied to fisheries see Annex A The decommision rule is presented here as an example of the structural rules The mathematical formulations 1s similar for all 4 structural rules Accept Accept __ exp U 5 d DA ject m pre Decomm Re ject Accept an Decomm Decom exp U pecomm T exp U pecomm po A I ges ae T Decomm 18 the utility of accepting decommission and U necomm 15 the utility of rejecting decommission The general expression for utility fransformed to the vessel exit entry model reads CFL Vs Ct y q Decomm Foam A ccept r X 1 F1 Vs Ct 4 Decomm r 5 Decomm gt y W e FLVs Ct y q Decomm s Decomm s s Attributes The RUM applied in the Baltic case is summarized the Table 2 12 1 The idea is that if the historical cash flow is low during a certain period then decommission is accepted if it exists and if no decommission 1s available dis investment withdrawal from fishing industry applies If cash flow has been high for a while and there are free licenses available then investments are made If no free licenses are available investment
234. el age group data which will usually not be available we come to Eq 1 2 3 Ct Fly Ct VS Max R8 FI Ct St Y last St Max AT Max Joi 2 2 2 gt 2 2 1 Fi 1 Vs 1 Rg l St lyoy first 1 9 1 1 CFL Vs Ct St y a g e Ar Y rds CFL Vs Ct St y a q e Ar Calc Y Fl Vs Rg Ct St y a q Ar 1 2 3 Eq E 12 3 gives the SSD s by age group which again will be observations estimated from samples However Eq may be applicable in some cases where a comprehensive biological technical data collection program is being implemented The chi squared expression for landings summed over age groups is given in Eq E 1 2 4 This is the standard expression used in the current version of TEMAS Ct yas Ct VS Max FI Ct R8 Max FI Ct Stua J last d Max r max 2 gt gt 2 LALA 1 Fi 1 Rg l St l first 4 1 Vs Ct St y e g e Ar Y Vs Re Ct St y q e Landings Landings Calc Y Fl Vs Rg Ct St y e q 9 E 1 2 4 Landings summed over vessel age groups and fish age groups are the observations expected in the current version of TEMAS This feature of the current TEMAS can easily be changed Eq E 1 2 4 calculates SSD by rigging In case rigging data are not available the next version with landings aggregated over riggings is
235. el B One deterministic simulation B One stochastic simulation AZjtipe stochastic simulation B Read Effort and capacity from worksheets Select Output Figure 4 2 2 User form to start up the computation TEMAS Manual 18 February 2008 SELECT OUTPUT Select output for single sim tion x B Show Ogives x lt a gt OT MR Output by year divisioms 2 B Shaw Heet Output B Show Stack Output Goto Mar i B Show Output by Area Alternative Show only biology output Only biology Alternative Only economy Do nat show any Do not show only summary Stock output Back Camnpure Show only Economy output 5 4 RUN OPTIONS OF TEMAS AND RUN MESSAGES Running TEMAS that is execute simulations is done with workbook TEMAS CALC The run option in workbook TEMAS CALC relates to management regime and type of stochastic deterministic simulation The options for stochastic deterministic simulation are see Figure 2 7 2 and Figure 4 4 1 1 Single deterministic simulation 2 Single stochastic simulation 3 Multiple stochastic simulations 164 EM TEMAS Manual 18 February 2008 In case 3 you are also requested to enter the number of simulations you want TEMAS to execute BEAM CALC 9 Apr01 E x ee E 1 Summary Output Summary Output 44 BEAM 5 4 RUN INFORMATION EioEconomic Analgtical
236. els the chronological order is 1 Decommission 2 Attrition 3 Dis investment If it is attepted to remove more vessels than there are the input values are changed so that the removals become feasible as described in the 3 steps algorithm We use the sign to denote assignment The fourth step the recruitment of new vessels will never create inconsistencies Step 4 1s included to show that vessel recruitment is the last step in the calculation of resulting number of vessels Step 1 Decommission If NU vesse Fl Vs Ct y q Va gt NUnecomm Fl Vs Ct q Va Then NUVvessei Fl Vs Ct q Va lt NUVvessei Fl Vs Ct q Va E NU pecomml EL Vs Ct Else NUbpecomm FI Vs Ct y Va NUvesse Fl Vs Ct y q Va and NUvessei Fl Vs Ct 9 Va lt 0 Step 2 Attrition If NUvessei Fl Vs Ct y q Va gt NUattrition Fl Vs Ct y q Va Then NU vessei Fl Vs Ct y q Va NUvessei Fl Vs Ct y q Va NU attrition FI Vs Ct y q Va Else NU attrition F1 Vs Ct q Va lt NU Vessei FI Vs Ct V sls Va and NUVvessei Fl Vs Ct y q Va 0 Step 3 Disinvestment Withdrawal If NU Vessei FI Vs Ct y q Va NU withdrawai FL Vs Ct y Then NU Vvessei Fl Vs Ct y q Va NUvessei Fl Vs Ct q Va NUwitmarawa Fl Vs Ct y q Va Else NUwithqarawal Fl Vs Ct q Va lt NU Vessei F1 Vs Ct y q Va
237. enting distributions of net cash flow compared to Figure 3 2 1 Figure 3 5 1 indicates the probability distributions for the cash flow every year in the time series The probability distributions are indicated by the mean value of the distribution and mean value plus minus standard deviation SD The graph also shows the minimum and the maximum values among the simulations made Figure 3 5 1 is very easy to produce with the present version of TEMAS as TEMAS produces the number shown in Table 3 5 2 These tables can easily be converted into graphs by aid of the EXCEL graph wizard One does not need to make any modifications of the numbers in Table 3 5 2 to produce the graph 3 5 1 Table 3 5 3 shows the complete content of sheet NPV Output which gives estimated probability distribution the Net Present Values of the three analyses by fleets The probability distributions are estimated by the frequencies in this case of only 100 simulations Somehow one may claim that Table 3 5 3 represents the overall summary output of a TEMAS exercise as it shows both the economic key results as well as their probability estimation Actually it is the estimate of the probability distribution which Table 3 5 3 shows and that estimate is based on the questionable assumption that TEMAS gives an unbiased reflection of the real world 158 Minimum 23241 47711 53439 38095 30880 10716 2 280 64380 35454 74500 60386 60851 75042
238. ers 2 Figure 1 3 5 Pull down list for finding table of the main menu of TEMAS INPUT The explanations of the other buttons on the main menu will be given in Section 4 Here the main menu 15 shown just to illustrate how a successful start up of TEMAS should be To each worksheet of TEMAS is linked a user form All these READ STOCK INPUT FROM SHEET user forms the same basic layout HE an example is shown the user form of ork sheet Stock Input in Figure 1 3 6 STOCK INPUT B Bach worksheet has M button with the EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 TEMAS logo and clicking on that button 8B The start up of the TEMAS CALC Goto Main Menu B workbook follows a similar pattern see Figure 1 3 7 TEMAS CALC also has main menu which has the same basic features as that of TEMAS INPUT Read stock parameters from Read stock parameters from worksheet Figure 1 3 6 The menu for stock data entry of TEMAS workbook TEMAS INPUT If you are a new user of TEMAS and just want a demonstration of if you don t need to prepare a set of input data TEMAS INPUT offers a suite of already made demonstration examples click on button Create demonstration example as will be explained in Section 2 3 Thus within a few minutes you should be able to run TEMAS with the pre prepared input data sets TEMAS Manual 18 February 2008 The sizes of the TEMAS workbooks given in
239. f TEMAS INPUT are tables derived from the input tables for the information of the user Such information tables are made for checking purposes TEMAS Manual 18 February 2008 A B D F H J K L M N FLEET FLEET STOCK STRUCTURED INPUT RUN INFORMATION Date of this run 26 03 2007 09 04 Name of Run Param Created 12 00 00 AM 00 00 File Name DEMON 5 Mig3 Table 3 1 1 Baltistan ABSOLUTE CATCHABILITY Species Area by Fleet V Size Country Rigging OB OB OB OB OB OB Trawler Trawler Trawler Trawler Trawler Trawler Gillnett Gillnett Gillmett Gillnett Gillnett Gillnett Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Small Smal Medium Medium Large Large Small Small Medium Medium Large Large 2110mm 110mm 110mm 13 West Baltic 9 82 05 gt 1 9E 0 14 East Baltic 97 115 West Cod Not Baltic 15 West Cad Bornholm 17 West Cod Gotland East cod West Baltic East cad East Baltic East cod Not Baltic East cod Bornholm East cod Gotland Mult 211 mm lt 110mm 110mm lt 110mm 110mm 2110mm 110mm lt 110mm 110mm hult o o ee ELT oo og Catchability Fl s Size Rig Ctry Spec Y Per Area Absolute Catchability Fl s Size Rig Ctry spec Area Relative Catchability Fl W Table 2 1 1 Example of the standard table layout of TEMAS INPUT an
240. f performance in the economic model The maximum number of sea days EYmax FI Vs Ct Ar multiplied by the number of vessels gives the upper limit of the effort sea days that can be exerted We define the reference effort or the maximum effort by Fl Vs Ct y q Ar NU FLVs Ct y q e EY FLVs Ct y q Ar As the time periods are quarters of the year in this example the upper limit of maximum number of days becomes 90 92 days Here the values 65 67 are given so that vessels stay 33 35 days in port every time period Table 5 4 3 Baltistan CREW PER VESSEL 2000 Per 1 Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 z003 2003 200 number Per Pers Pend Ferdi Pern Pees FPer4 Peri Pert Pers FPer4 Perl Pere Pers Perd Fer 57 OB Trawler Baltistan Small 58 Trawler Baltistan Medium 53 Trawler Baltistan Large 60 Gillnett Baltistan Small 61 Gillnett Exaltistan Medium Gillnett Baltistan Large Number of crew members per vessel used to define employment There is a crew number For each period of each year Table 5 4 4 Baltistan MAX DAYS PERIOD 2000 Per 1 Initial z000 2000 2000 2001 2001 2001 2001 2002 2002 2002 62002 2003 2003 2003 2009 200 BT number Fer3 Fer4 Feri Perz Pers Perg Feri Pernt Pers FPer4 Ferd Per Ferns Ferd Fer ES OE Trawler Baltistan Small OE Trawler Baltistan Medium Trawler Baltistan L
241. f Fleets Table 1 4 AREAS Table 1 5 1 3 Baltistan NAME OF VESSEL SIZES Ves siz 1 Ves siz 2 Ves siz 3 Ves siz 4Ves siz 5 Ves siz OB Trawler Baltistan 5 Gillnett Baltistan Table 1 5 2 3 Scandinavia NAME OF VESSEL SIZES 28 Ves siz 1 Ves siz 2 Ves siz 3 Ves siz 4Ves siz 5 Ves siz 29 OB Trawler Scandinavi 30 Gillnett Scandinavia FOSIBJIEKJIBAIKAIBAIKXSIKSIS m a k k Ct2 2 2 Stock s 5 Area s 10 Year s Table 1 5 1 4 Baltistan NAME OF RIGGINGS E 1 E 2 Rig 3 Rig 4 Rig 5 Table 1 5 2 4 Scandinavia NAME OF RIGGINGS 3 1 E 2 Rig 3 Rig 4 Rig 5 OB Trawler Baltistan Gillnett Baltistan OB Trawler Scandinavia Gillnett Scandinavia M gt MNS01_DIM S02 STOCK 503 FLEET 504 EFFORT 505 BOATS 506 PRICES 507 ECONON lt T gt Figure 2 3 2 b Pseudo Baltic demonstration example 2 4 STARTING UP A NEW CASE STUDY WITH TEMAS S01_DIM To start up a new case study the first thing to do is to enter the system dimensions see example in Figure 2 2 1 and then click on New case Delete current case in the menu Figure 2 4 1 18 TEMAS Manual 18 February 2008 EA Microsoft Excel TEMAS INPUT DEM4 29Mar07 5 1 DIMENSIONS B See RUN INFORMATION Date of this run Name of Run Param Created File Name SYSTEM DIMENSIONS DIMENSIONS version EXCEL 2003 MS Visual Basis 6 3
242. f the current TEMAS program The operational model is the same in all regime comparisons The operational model simulates fish stocks fishing fleets etc and from the simulates quantities it simulates input data to the pair of management models The TEMAS model can do single deterministic simulations or multiple stochastic simulations The multiple stochastic simulations executes a number of single deterministic simulations say 1000 simulations each of which based on parameters drawn by a random number generator We shall forget about multiple stochastic simulations for the time being and concentrate on single deterministic simulations In the present context of MPA and closed seasons of Baltic fisheries focus will be on case study 3 but also the other cases are more or less relevant Misreporting for example is considered a major problem in the Baltic cod fisheries ICES 2006 TEMAS Manual 18 February 2008 TEMAS accounts for a number of different types of errors in the system An error means a deviation from the model or something that go wrong 1 Measurement error Errors in input data such as catch at age data caused by data being estimated from samples and not from complete enumeration 2 Estimation error Errors caused by the method used to estimate parameters or erroneous assumption about the data 3 Model misspecification error Errors caused by incomplete or wrong understandings of the
243. fleets selected Period Fleet Output Summed over areas Annual Fleet Output Summed over areas and periods Economic Output summary Output HERRERNE 3 5 gt E Figure 3 3 1 Userform selection of output from the chosen simulation 133 TEMAS Manual 18 February 2008 SELECT OUTPUT FORMAT Ogwes growth curves geor selection discard etc Period Area Fleet Output Area Fleet Output Summed over periods Baltistan Trawler Baltiskan Baltistan Gillnett Baltistan 3 Sean I p E Trz PA 5 ka Period Fleet Output Summed over areas gcantalnmavia tp Irawler Scarndinavie Scandinavia Gillnetk Scandinavia a i 2 E Annual Fleet Output Summed over areas and periods Economic Output Summary Output 809 8 NM ee NN Figure 3 3 2 Userform for selection of output from the chosen simulation Her illustration of selection of a single fleet which will be the only one for which results are displayed 134 TEMAS Manual 18 February 2008 EXECUTION TIME EI EXECUTION TIME i COMPUTATION COMPLETED i 3 COMPUTATION COMPLETED Execution time 32 Seconds or 53 minutes Execution time 404 Seconds or 6 73 minutes Period Area Stock Output Area Stock Output summed over periods Period Stock
244. ge Stay in port Expected value Landings Baltistan OB Trawler Baltistan Large 1 1 1 1 1 Tradition Tradition Tradition Tradition Tradition Baltistan Baltistan Baltistan Baltistan Baltistan OB Trawler Baltistan OB Trawler Baltistan Trawler Baltistan OE Trawler Baltistan OB Trawler Baltistan Large West Baltic Large East Baltic Large Mot Baltic Large Bornholm Large Gotland Value Landings Baltistan OB Trawler Exaltistan Large MFA Baltistan Trawler Baltistan Large 1 Tradition Baltistan Gillnett Baltistan Small Go fishing 1 Tradition Baltistan Gillnett Baltiztan Small Stay in port Expected value Landings Baltistan Gillmett Baltistan Small 1 1 1 1 1 Tradition Tradition Tradition Tradition Tradition Baltistan Baltistan Baltistan Baltistan Baltistan Gillnett Baltistan Gillnett EBaltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Small Small Small Small Small West Baltic East Baltic Baltic Bormholm Gotland Value Landings Baltistan Gillnett Baltistan Small MFA Baltistan Gillmett Baltistan Small 1 Tradition Baltistan Gillmett Baltistan Medium Go Fishing 1 Tradition Baltistan Gillmett Baltistan Medium Stay in port Expected value Landings Baltistan Gillmett Baltistan Medium Me
245. gs in the present version of TEMAS Figure 2 14 1 shows the user form for sheet 511 OBS and Table 2 14 1 shows the tables of S11_OBS There is a table for each combination of stock and country OBSERVED LANDINGS USED FOR TUNING READ OBSERVED YIELD x Observed Yield used for tuning OB Trawle E E ES E E a N 13 MW Goto Mai Meri H Read abs Read obs yield from diisi from disk Read abs yield fram sheet Figure 2 ET zi br entry df observations EXCEL Table Table 11 1 Time series of observed landings Table 11 2 1 Baltistan West Cod OBSERVED LANDINGS Table 11 2 2 Baltistan East cod OBSERVED LANDINGS Table 11 3 1 Scandinavia West Cod OBSERVED LANDINGS Table 11 3 2 Scandinavia East cod OBSERVED LANDINGS Table 2 14 1 Tables in the observations input sheet 8011 OBS Figure 2 14 3 shows EXCEL Table 11 1 giving the length of time series of observations This range from First period of first year to Last period of last year may be equal to or shorter than the time span of the simulation In this example the observation runs from second quarter of 2001 to third quarter of 2007 whereas the simulation runs from first quarter of 2000 to last qyarter of 2009 EXCEL Table 11 2 1 shows the actual observations for West cod landed by one country Baltistan The periods for which data are not available will automatically be filled in with No Value and
246. haracteristics in the present version of TEMAS but only three of them are used Table 5 4 1 Baltistan INITIAL VESSEL AGE DISTRIBUTION AND INVESTMENTS NEW VESSELS 2000 Per 1 Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 2003 2003 200 number 2 Pers Pert Perl Perz Pers Pert Pend Pere Peres FPer4 Perl Pere Fer OB Trawler Baltistan Small 1 Mew boats Trawler Baltistan Medium Age 1 Mew boats OB Trawler Baltistan Large 1 Mew boats Gillnett Baltistan Small Age 1 Mew boats Gillnett Baltistan Medium Age 1 New boats Gillnett Baltistan Large 1 Mew boats The number of vessels by vessel age group in first period of First year and number of investments number of recruiting Table 5 4 2 Baltistan NUMBER OF NEW BOATS MULTIPLIER 2000 Fer Initial 2000 2000 2000 2001 2001 2001 200i 2002 2002 2002 2002 2003 2003 200 number Ferz Peres Pernt Peri Ferz Fer3 Pert Perl Pere Feros Fer4 Ferdi Ferz 46 Trawler Baltistan Small 4 Trawler Baltistan Medium Trawler Baltistan Large 43 Gillnett Baltistan Small Gillnett Baltiztan Medium Gillnett Baltistan Large h2 MTultiplier to raise the number of new boats number of investments There iz multiplier for each period of each year 4 Ark2 Arka 504 EFFORT 5505 BDATS 506 PRICES 507 lt T Figure 2 8 2 a Initial number of vessels and number of new vessels in
247. hastic simulations The output from stochastic simulations comprises a set of selected key results only Output produced by workbook TEMAS CALC is divided into the groups 1 Stock structured Output Output independent of the fleet structure 2 Fleet structured Output which may or may not be fleet structured 3 Economic output Each output group is further divided into 1 Results from single deterministic simulation 2 Results from single stochastic simulation 3 Results from multiple stochastic simulation TEMAS produces large amounts of output for single simulations The total output for a single simulation is so voluminous that it is not likely ever to be used in The idea with the large amounts of output is that the user should select whatever subset she he considers useful in the context of the case study The detailed output from single simulations produced by the TEMAS is rather extensive and the reader is referred to the demonstration example of TEMAS to see further details TEMAS however contains a suggestion for such a sub set of output from a single simulation Figures 3 1 1 3 To fully understand the content of the Tables in Figures 3 3 1 3 you should read Sections 5 and 6 but the titles of table entries should indicate the overall meaning of the table contents 4 1 SUMMARY OUTPUT FROM SINGLE SIMULATION The first part of the summary single simulation output contains two tables Table 3 3 1 One table summarisi
248. he Ref Effort where Reference Effort Table 14 2 2 1 3 1 Baltistan Bornholm MAXIMUM NUMBER OF SEA DAYS REGULATION Fleet V Size Rig Country Area Regime 2 2000 Perl 2000 2 2000 2000 4 2001 1 2001Per2 20 01Fer3 2001 Per4 2002 Pernt 2002 2 2002Per3 2002 4 2002 Perl 2003 Trawl Small lt 0 0 0 0 0 0 0 Trawl Small Trawl Large lt H mm Trawl Large gt 0 0 0 0 0 0 0 0 0 Gill net Small lt 120mm Gill net Small 120mm 0 Gill net Large 120mm 0 0 0 0 0 0 0 0 0 Gill net Large 120mm Maximum number of sea days given by regulation Table 14 2 2 1 3 2 Baltistan Bornholm SEASONAL CLOSURE BY REGULATION Fleet V Size Rig Country Area Regime 2 2000 Peri 2000 Ferz 2000 2 2000 4 2001Per1 200iPen2 2001 P er 3 2001 4 2002 Ferdi 2002 2 2002 Per 3 2002 4 2003 Perl 2003 Trawl Small lt 110mm 1 1 1 1 1 1 1 1 1 1 1 1 Trawl Small gt 110mm 1 Trawl Large 1 Trawl Large Timm 1 Gill net Small lt 120mm 1 Gill net Small gt 120 1 1 m k
249. he landings from the stock in question on the fleets This is achieved by assigning the values to catchability coefficients that produces the fishing mortalities which in turn gives the observed landings by fleet area and time period To summarize Tuning means assigning values to 1 The Beverton and Holt parameter BH1 Stock 2 Catchability coefficient Q Stock Fleet Area Time period so that Observed landings Calculated landings for all combinations of Stock Fleet Area and Time period in a given year which is usually the most recent data year so that the system is in equilibrium gives the same results in all years Hecommendation The tuning procedure changes the input files in the disk 1 The stock input files are changed 2 The fleet input files are changed Therefore MAKE A BACKUP OF THE DISKFILES BEFORE TUNING You may regret the tuning and want to return to the starting point Returning to the starting point is difficult unless you made a backup 173 TUNING OF TEMAS Evaluation Frame for fisheries management EXCEL 2003 MS Visual Basis 6 3 Mant Menu File Name af last run DEMON 5 Migs Title of last run DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries Number of fleets 1 2 2 2 2 Stock s 5 10 Yearfs dt 174 years Circular movement minimum 3 areas Choose aggregation level 174 TEMAS Manual 18 February 2008 TEMAS Manual 18 February
250. he same as the userform for the stock structured input 502 STOCK P II Boo lg gs p gor 4 FLEET FLEET STOCK STRUCTURED INPUT RUN INF Date of t Name of Param File Na Table 3 1 1 Baltistan ABSOLUTE CATCHABILITY Specie OB QB FLEET INPUT lb Trawler Trawler an Baltistan Baltistan Large Fleet Input C lt gt 110mm UGERS _ CEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 414 West 415 West West Options for Preprocessing of data B West C Goto Main B ES dote E Read FLEET INPUT from disk file Read Heet parameters fram worksheet B LI Per Area Absolut M 4 k HN 501 DIM S02 STOCK 503 FLEET 50 l Figure 2 6 1 User form for entry of fleet related parameters Table 2 6 1 lists the tables in userform 503 FLEET Note that all tables 503 _ FLEETS are country specific The parameters in the fleet structured tables are all related to the relationship between effort and area fishing mortality Area Fishing mortality is the sum of area landing mortality and area discard mortality F FI Vs Rg Ct St y a q Ar m Fiana s Faisc Where indicates the full set of indices Vs Rg Ct St y a q Ar and Fiana Area landing mortality Fais Area discard mortality and F Area Fishing mortality They are defined by F 1 DISC and F DIS
251. hing mortality from for example fish stock assessment of ICES working groups The index of stock numbers can be catch per day by age group converted into relative numbers to make them compatible with relative numbers predicted by TEMAS y bo N index St y q a Ar St y q a AN N Calc E 1 2 7 51 1 Y first 4 1 index 57 q a N St Where for example N7 St y q a Ar y q a Ar and the survey index is derived from gt N St y q i i l CPUE St y q a Ar a max St gt CPUE St Y q i Ar i Also indices of biomass or SSB can be made relative and compared to indices predicted by TEMAS say catch per hour CPUEsuvey St y q a Ar Y Y SSBp St y q SSBC St y q d SSBC St St ly yg q l E 1 2 8 Fishing mortality can be compared to fishing mortalities estimated by persons independent of TEMAS e g ICES WGs Mean Mean pa 4 2 St y E 1 2 9 St 1 Y Y frs q l Mean SR 9 d Fes St y q St y q In theory the 2 expression could make the basis for estimating the parameters designated P Eq E 1 2 9 by minimization Because of the large number of parameters and the small number of degrees of freedom this approach would be very problematic in practice X Obs u X Obs _ P y Indices X Calc P
252. ies on its own for printing hard copies of output The user is supposed to manage on her his own by aid of the print facilities of EXCEL Table 3 3 1 shows an example of a table with annual stock structured output produced by TEMAS In this case the output comes from a single simulation which allows for very detailed output Species A STOCK NUMBERS Deterministic O 2000 0 1300 0 1296 4 1296 0 1295 1 12936 1291 7 1289 6 1287 4 1285 3 1283 5 1281 8 1280 6 6 6024 4783 4284 3863 3591 3701 3892 2550 2555 257 0 2580 2589 2601 8 7 4038 3205 2868 2575 2320 2103 1968 2037 2142 140 8 1415 1424 1434 9 3306 4773 5845 6403 6617 6603 6461 6264 6181 6218 5702 5328 5069 Biomass 142323 127434 125697 121980 1116900 111223 105802 100766 96422 92936 89988 87877 86532 SSB 130086 116857 115657 112803 108507 103377 98296 93477 89271 85864 82970 80899 79574 Species A CATCH NUMBERS Deterministic o 3 7 63 62 61 60 59 59 58 56 56 55 54 54 6 4736 11961 171 3 150 55 1360 136 7 144 2 938 91 5 922 918 896 901 7 1387 8 1606 1401 1227 1084 971 999 1045 667 671 670 655 660 8 3175 1315 1147 1004 884 760 710 725 744 490 480 479 483 9 7 2600 195 8 2338 2496 2520 2414 2328 220 7 209 5 2093 1890 1708 1621 YIELD 114208 51207 49462 47034 44229 40599 38317 35967 33350 32065 30738 29165 28730 Species A FISHING MORTALITY Deterministic O 0 009
253. ill never strictly be the case in any application of TEMAS Actually many of the crucial parameters of TEMAS cannot be estimated by robust statistical methods involving estimation of variance and co variances and all their derivatives in the form of statistical diagnostics The general parameter estimation problem in fisheries is illustrated by the fact that most fish stock assessments in ICES are made by highly questionable non standard methods like the XSA that is methods that do not live up to the standards of textbooks in bio statistical analysis e g Sokal and Rohlf 1981 ICES could have chosen to apply strict statistical methods like those of the SAS the S or the R system of methods but have so far refrained from using the standard approach The TEMAS is not in any better situation than any other current model currently available to fisheries science TEMAS perhaps differs from other approaches in that it accepts and fully accounts for its limited capability in parameter estimation TEMAS lacks a proper methodology for parameter estimation and many most parameters of TEMAS are guesstimates rather than estimates as defined in standard textbooks of statistical inference The reason for this is not that parameter estimation methodology is not available but that available data are of a poor quality but perhaps more important is that the basic mechanism behind the system dynamics is not understood The so called process errors of TEMAS
254. illnett Baltistan Small Gillnett Baltistan Medium Gillnett Baltistan Large Country Total stock Fleet Country OB Trawler Baltistan Baltistan Total stock Gillnett Baltistan Scandinavia Table 2 14 3 Examples of aggrecation levels of observations When data are aggregated they must be filled in cells belonging to the aggregation 107 424 TEMAS Manual 18 February 2008 The observation question is the Total landings by stock fleet area year and time period Figure 2 14 2 Total landings means landings in units of whole body wet weight summed over age groups This kind of data is often available from the annual statistics of fisheries Such data may be used to tune TEMAS that is to modify selected parameters of TEMAS so that TEMAS becomes able to reproduce the observed landings as output from the simulation How this tuning of TEMAS is made will be discussed in Appendix E The tuning can be made in many ways The main techniques suggested by TEMAS is to tune the recruitment to produce the observed catches Ignoring a suite of details it is essentially true that Weight of landings Almost constant Factor Number of recruits Thus when you raise the recruitment you raise the landings and when you reduce the recruits you reduce the landings It is also essentially true that Weight of landings Almost constant Factor Catchability Effort if the effo
255. ime 1 Baltistan Not Baltic SEASONAL CLOSURE Regime 1 Scandinavia West Baltic MAXIMUM NUMBER OF SEA DAYS Regime 1 Scandinavia West Baltic SEASONAL CLOSURE Regime 1 Scandinavia East Baltic MAXIMUM NUMBER OF SEA DAYS Regime 1 Scandinavia East Baltic SEASONAL CLOSURE Regime 1 Scandinavia Bornholm MAXIMUM NUMBER OF SEA DAYS Regime 1 Scandinavia Bornholm SEASONAL CLOSURE Regime 1 Scandinavia Gotland MAXIMUM NUMBER OF SEA DAYS Regime 1 Scandinavia Gotland SEASONAL CLOSURE Regime 1 Scandinavia Not Baltic MAXIMUM NUMBER OF SEA DAYS Regime 1 Scandinavia Not Baltic SEASONAL CLOSURE Regime 1 Baltistan West Baltic MAXIMUM NUMBER OF SEA DAYS Regime 2 Baltistan West Baltic SEASONAL CLOSURE Regime 2 Baltistan East Baltic MAXIMUM NUMBER OF SEA DAYS Regime 2 Baltistan East Baltic SEASONAL CLOSURE Regime 2 Baltistan Bornholm MAXIMUM NUMBER OF SEA DAYS Regime 2 Baltistan Bornholm SEASONAL CLOSURE Regime 2 Baltistan Gotland MAXIMUM NUMBER OF SEA DAYS Regime 2 Baltistan Gotland SEASONAL CLOSURE Regime 2 Baltistan Not Baltic MAXIMUM NUMBER OF SEA DAYS Regime 2 Baltistan Not Baltic SEASONAL CLOSURE Regime 2 Scandinavia West Baltic MAXIMUM NUMBER OF SEA DAYS Regime 2 Scandinavia West Baltic SEASONAL CLOSURE Regime 2 Scandinavia East Baltic MAXIMUM NUMBER OF SEA DAYS Regime 2 Scandinavia East Baltic SEASONAL CLOSURE Regime 2 Scandinavia Bornholm MAXIMUM NUMBER OF SEA DAYS Regime 2 Scandinavia Bornholm SEA
256. imum allowable total value of characteritics Tonnage Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY AND FLEET 2000 1 2000 2 2000 2 2000Per4 2001 2001Per2 2000Per3 2001 4 2002 Maximum allowable total value of characteristics Tonnage Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY FLEET AND 2000 1 2000 Fer 2000 2 2000Per4 20001Per1 2001 2 2001 2 2001Per4 2002 Per Plasimum allowable total value of characteristics Tonnage Mot Used M 4 Hj Boats 4 505 BOATS 506 PRICES 507 ECONOMY Figure 2 8 7 a Second fleet characteristics vessel tonnage used or used Note that there are no options for pre processing of boats data Figure 2 8 1 76 EM TEMAS Manual 18 February 2008 2 9 PRICES INPUT S06 PRICES The userform for entry of price data in worksheet S06 PRICES is shown in Figure 2 9 1 and Table 2 9 1 shows the list of EXCEL tables in S06 PRICES iri Ea 3 4 al EN ES EB ES Pes ES INPUT RELATED TO PRICES f B READ PRICES b Prices B VER AGE GROUPS Pera 2000 Per 4 EXCEL 2003 MS Visual Basis 6 3 Options for Preprocessing of data Goto Main Sal eal Eod Ed eod Een mm m Read prices fram disk file Read prices from work sheet B eter Price Jar YO in the model of price Table 6 2 2 Baltistan RELATIV
257. in mode M 4 k MN 501 DIM Ark1 S02 STOCK 3 503 Ark2 Arka Z 50 lt mem gt Figure 2 18 3 Relative standard deviation of catchability coefficients for one country Daltistan The explanation below the table says St Dev Q Relative standard deviation of catchability used for stochastic simulation Biom Param Parameter in model Qo Biomass Biom Param Tech Dev Qo exp y Tech Dev Rig Effect Q 00 exp Rig Effect 127 EM TEMAS Manual 18 February 2008 3 EXECUTION OF A SIMULATION TEMAS is implemented in the form of 4 independent workbooks 5 TEMAS INPUT entry of input to TEMAS 6 TEMAS CALC Simulations and output from TEMAS 7 TEMAS STO OUT Stochastic simulation output 8 TEMAS TUNING calibration of parameters Chapter 3 deals with the worksheet TEMAS CALC which executes the simulations and produces the output from single simulations Output from stochastic multiple simulations is handled by the worksheet TEMAS STO OUT Worksheet TEMAS CALC appears very much as TEMAS INPUT Menus are activated by a fish school command button The following sections will explain the menus of TEMAS CALC When running the program you may do any calculation or manipulation of the input tables and output tables by aid of the facilities in EXCEL With the output produced by the calculation workbook there is no special instruction on things you should not do You can do anything you like with the o
258. in the logistic model of maturity as a function of body length Maturity ogive that 15 the fraction of mature fish as a function of body length 15 l Daal a ruway a ps ODE a 1 exp Matl St Mat2 St Lgt St a y q where Mat1 St In 3 Lso Mat St L s Mat St Ls0 Mat St Mat2 St In 3 75 51 Lso Mat St and Lxx pMat St Length at which X are mature The columns RelStDev K and RelStDev C Fac are parameters in the stochastic model of growth The body length at age can be made a stochastic variable in TEMAS by introduction of the stochastic factor 36 EM TEMAS Manual 18 February 2008 Lgt St y a q L Sr 1 exp K St e St Age a q T St if a gt 2 Lgt St y a q qa L St 1 exp K St e St Age a q aq T St if a lt 2 where x St y is a year and stock dependent normally distributed stochastic variable with mean value 1 0 and standard deviation RelStDev K The length weight relationship can be made stochastic in TEMAS through the stochastic factor or Wet St y a q QF St q eg St Let St y a q where or St 8 y or St y 2 and where or St y is a year and stock dependent normally distributed stochastic variable with mean value 1 0 and standard deviation RelStDev C Fac Body weight is assumed to be the same for stock landings and discards in the operational model
259. ing in to account all the sources of uncertainties involved in TEMAS there is no reason to make too much effort in achieving a complete reproduction of observed catches Tuning parameters F Q Effort Catch Recruiotment Function F M The five types of tuning offered by TEMAS is see also Figure 4 6 1 showing the tuning menu form N first year N last year To achieve equilibrium BH New BH old Land Obs Land Calc Tune recruitment to observed landings Q New Q old Land Obs Land Calc Tune catchability to observed landings Q New Q old F Obs F Calc Tune catchability to observed total fishing mortality 1 2 3 4 5 Q F Effort by area and fleet Compute individual catchabilities to observed area fishing mortalities _ The total landings from a stock is almost proportional to the parameters BH1 in the stock and recruitment model Beverton amp Holt model with all other parameters kept constant Thus for a given fishing mortality BH1 can be selected to give any landings you want As the parameter BH1 is usually an unknown parameter you may consider the tuning of TEMAS as a pseudo estimation of BH1 it is not a proper estimation You calibrate BH1 to produce the observed landings 172 EE TEMAS Manual 18 February 2008 The procedure of calibrating BH1 gives you the total landings for a given total fishing mortality Next step in the tuning is then to distribute t
260. inly Closed areas Marine Protected Areas MPAs LIST OF CONTENTS Geog 6 ua u 1 L PA TID TEMA 1 12 iFIOW IS TEMAS gulzuzgicbrc 5 1 3 INSTALLATION AND START UP OF TEMAS 8 ect 13 2 1 WORKSHEETS OF THE INPUT MODULE OF TEMAS iecur a 13 2 2 SYSTEM DIMEMSIONS OF TEMAS S01_DIM LEE EEN 15 2 3 DEMONSTRATION EXAMPLES OF 5 20004 0 1 17 2 4 STARTING UP A NEW CASE STUDY WITH TEMAS S01_DIM u 18 PO IN UT 202220102 9 33 48 24 EFFORT INPUT OPTIONAL S04 EFFORI u 55 2 8 BOATS INPUT 905 BOA S u uu uu ee 64 2 9 s een IEIUNII Plo E 77 2 10 ECONOMIC INPUT S07 ECONOMY u uu u u 81 211 TRIP RULES INPUT TRIP RU 87 2 12 STRUCTURAL RULES INPUT S09_ STRUC_RU 1 93 213 TUNING INPUT S TO
261. ion for one index only Should more indices be available as 15 often the case for ICES WG assessments the user of TEMAS must combine into one index before entry in TEMAS Figure 2 13 3 a shows the structure of the index table which starts with the index for all area combined and then gives the data by area Figure 2 13 3 b shows that individual index data must be structured as the stock numbers are structured in TEMAS That is with period groups in ages 0 and 1 period groups merged into age groups for age 2 and older 101 TEMAS Manual 18 February 2008 Table 10 1 2 West Cod INDEX OF ABUNDANCE Numbers at age ALL AREAS Figure 2 13 3 a Structure of table for Research survey or commercial fisheries indices of stock numbers 102 TEMAS Manual 18 February 2008 Ta SESI WE ESE t 28 Table 10 1 2 West Cod INDEX OF ABUNDANCE Numbers at age 2000 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 29 Per 1 Per 2 Per 3 Per 4 Per 1 Per 2 Per 3 4 1 Per 2 Per3 Per 4 30 1 All areas 2 All areas 1 32 3 All areas 33 4 All areas 34 1 All areas 35 2 All areas 36 3 All areas 37 4 All areas 38 1 All areas 121 39 2 All areas 40 3 All areas 41 4 All areas 42 1 All areas 43 2 All areas 44 3 All areas 45 4 All areas 46 1 All areas 47 2 All areas 4
262. istan Trawler Baltistan Small Stay in port Expected value Landings Baltistan Trawler Baltistan Small ie 1 1 1 1 Tradition Tradition Tradition Tradition Tradition Baltistan Baltistan Baltistan Baltistan Baltistan OE Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Small Small Small Small Small West Baltic East Baltic Mat Baltic Barnhalm Gotland Value Landings Baltistan OB Trawler Exaltistan Small Baltistan Trawler Baltistan Small 1 Tradition Baltistan Trawler E altistan Medium Go Fishing 1 Tradition Baltistan Trawler Baltistan Medium Stay in port Expected value Landings Baltistan Trawler Baltistan Medium l 1 Tradition 1 Tradition 1 Tradition Tradition Tradition Baltistan Baltistan Baltistan Baltistan Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan OB Trawler Baltistan Trawler Baltistan Medium Medium Medium Medium West Baltic East Baltic Baltic Bornholm Gotland Value Landings Baltistan OB Trawler Baltistan Medium MFA Baltistan Trawler Baltistan Medium 1 Tradition Baltistan DB Trawler Baltistan Large Go Fishing 1 Tradition Baltistan OB Trawler Baltistan Lar
263. iteringsprojektet med veesentlige resultater fra 1 malear Lars M Svendsen Ole Sortkjaer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Taskekrabben Biologi fiskeri afs tning og forvaltningsplan Claus Stenberg Per Dolmer Carsten Krog Siz Madsen Lars Nannerup Maja Wall og Kerstin Geitner Tvilho Dambrug et modeldambrug under forsegsordningen Statusrapport for 2 malear af moniteringsprojektet med veesentlige resultater fra 1 malear Lars M Svendsen Ole Sortkjzer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Erfaringsopsamling for muslingeopdreet i Danmark Helle Torp Christensen Per Dolmer Hamish Stewart Jan Bangsholt Thomas Olesen og Sisse Redeker Smoltudvandring fra Stora 2007 samt smoltdedelighed under udvandringen gennem Felsted Kog og Nissum Fjord Henrik Baktoft og Anders Koed Tingkaervad Dambrug et modeldambrug under forsegsordningen Statusrapport for 2 malear af moniteringsprojektet med veesentlige resultater fra forste malear Lars Svendsen Ole Sortkjaer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Ejstrupholm Dambrug et modeldambrug under forsegsordningen Statusrapport for 2 malear af moniteringsprojektet med veesentlige resultater fra
264. jorden inddragelse af borgere og interessenter i forslag til en forvaltningsplan Helle Torp Christensen og Ingrid Elmedal Kystfodring og kystekologi Evaluering af revlefodring ud for Fjaltring Josianne St ttrup Per Dolmer Maria Rejbek Else Nielsen Signe Ingvardsen Per S rensen og oune Riis Serensen Lojstrup Dambrug ost et modeldambrug under forsegsordningen Statusrapport for 1 malear af moniteringsprojektet Lars M Svendsen Ole Sortkjaer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Tingkaervad Dambrug et modeldambrug under forsegsordningen Statusrapport for 1 m le r af moniteringsprojektet Lars M Svendsen Ole Sortkjaer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Abildtrup Dambrug et modeldambrug under forsegsordningen Statusrapport for 1 malear af monitoreringsprojektet Lars M Svendsen Ole Sortkjar Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen Anne Johanne Tang Dalsgaard Nor Dambrug et modeldambrug under forsegsordningen Statusrapport for 1 malear af moniteringsprojektet Lars M Svendsen Ole Sortkjaer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Skett Rasmussen Anne Johanne Tang Dalsgaard Rens Dambrug et modeldambrug
265. k s 5 Area s 10 Year s dt 1 4 years Circular movement minimum 3 areas Select Table Select Menu 1 Select Worksheet Wear all sheets 2 Select simulation Options 2 Write list of all tables 2 Tuning Figure 3 6 1 Main menu of calculation module MAIN MENU Evaluation Frame for fishereis management systems MAIN CALCULATION MENU Time nf last run 06 08 2007 19 08 21 File Name of last run DEMON 5 Mig3 DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries Number of fleets 1 2 CE 2 2 2 Stock s 5 Area s 10 Year s dt 1 4 years Circular movement minimum 3 areas Select Table Select Menu 001 Start Up form 002 Tuning 003 Select simulation 004 Select Multiple simulation output _ 005 Select case study 006 Select Single simulation output 007 Main menu 008 Select rules Figure 3 6 1 b Main menu of calculation module with illustration of selection of menu 138 TEMAS Manual 18 February 2008 MAIN MENU IL YT CE z CLEAR CONTENTS OF ALL SHEETS The Schon will ai output in the warkshaats Are you sure you really want to do this OPTIONS Show cell comments Figure 3 6 2 Options in Main menu 139 TEMAS Manual 18 February 2008 Tuning of parameters fhe tuning is executed by workbook TUNING Date fhe tuning options in that workbook are Nifirst year
266. l 02 Mo Mo Yal Mo Val 02 Mo Yal Mo Age 4 1 Area west Baltic 0 2 Mo Mo Yal No Yal 0 2 Mo Mo No Y al 0 2 Mo Mo No Yal 0 2 Mo Age 4 2 Area West Baltic Yal 0 2 Yal Yal Mo Yal 0 2 Mo Val Mo Yal No Val 02 Mo Val Mo Mo Val Age 4 3 Area West Baltic Wal Mo Wal 0 2 Mo No Mo Yal 0 2 Mo Mo No Yal 0 2 Mo No Val No Age 4 Per 4 Area west Baltic Val Mo Mo al 0 2 Yal Mo Yal Mo Yal 02 Mo val Mo Yal Mo Yal 02 Ho val Mo Age Per 1 Area East Baltic 0 2 0 2 0 2 0 2 0 2 12 0 2 0 2 0 2 12 0 2 0 2 0 2 Age 0 Per 2 Area East Baltic 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 0 2 Age 3 Area East Baltic 0 2 D 12 0 2 0 2 0 2 0 2 0 2 0 2 12 0 2 12 0 2 Age Per 4 Area East Baltic E E 0 2 02 0 2 02 0 2 02 12 Teor F sor E siri n n f gt n ih gt PREPROCESSING OF STOCK INPUT Assign Migration to migration coefficients Mot done C Compute initial stock numbers done C Assign same M to all age groups times and areas Not done Assign standard values to Stock Mat done Ref Sta Dev Stochastic simulation E e s Figure 2 5 9 Options for pre processing of stock parameters 47 Em TEMAS Manual 18 February 2008 2 6 FLEET INPUT 503 FLEET Figure 2 6 1 shows the input user form for worksheet 503 FLEET fleet structured input The layout of the userform is t
267. lear All sheets button from time to time as the workbook otherwise will grow in size Without any data in the work sheets each of the workbooks takes up about 2 Mb but they may easily grow to 10 Mb after a number of applications 128 TEMAS Manual 18 February 2008 In general The package consists of two EXCEL workbooks Follow the normal precautionary approaches when running EXCEL workbooks TEMAS CALC O6Aug 0B xls A J B C n E F 6G H 3 Summary economic landings Output Summa Output Scientific advice TEMAS RUN INFORMATIO Evaluation Frame For Fisheries management systems version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 2007 e e Date of this run Marine Fisheries Department 4 of Run EN DIFRES Danish Institute of Marine Heserch fe Param Created File Name Table 1 1 1 Regime 1 ACFM Advice Summary of summary by fleet Pair Deterministic First and Last year Scandina 3 Scandinaui TEMAS Scandinauvi Trawler a Gillnett Scandinaui Scandinaui m Calculation module em Te Cash Flow FIMANCIA 153718 3 104295 6 NPY cash Flow FIR 2 g3E 07 Cash Flow GOVERNESS HI Frame for pm a 377E 07 15 NPY cash Flow GOV EXCEL 2003 MS Visual Basis 6 3 46 Cash Flow ECONO x 3323727 1799362 17 NPY cash Flow Simulati 352E 07 48 Total Landings SHON 33 98
268. ler Baltistan Small Baltic lt Timm 175 Baltistan CIE Trawler Baltistan Small Baltic gt 110mm r amp Baltistan OB Trawler Baltistan Small Bornholm lt 177 Baltistan Trawler Ealtisran Small Bornholm gt 110mm 178 Baltistan CIE Trawler Baltistan Small Gotland lt 173 Baltistan OB Trawler Baltistan Small Gotland 110mm KN Baltistan OB Trawler Baltistan west Baltic Timm 181 Baltistan Trawler Baltistan tedium west Baltic gt Tl rmm 152 Baltistan OB Trawler Baltistan Medium East Baltic lt 153 Baltistan CIE Trawler Baltistan Medium East Baltic gt 110mm 154 Baltistan CIE Trawler Baltistan Baltic lt imm 105 Baltistan Trawler Baltistan Medium Mot Baltic gt 11 Baltistan OB Trawler Baltistan Medium Bornholm H mm 157 Baltistan OB Trawler Baltistan Medium Bornholm gt 110mm 158 Baltistan CIE Trawler Baltistan Medium Gotland lt 110mm 189 Baltistan OB Trawler Baltistan Medium Gotland gt 110 1 Baltistan OE Trawler Exaltistan Large West Baltic lt 110mm M 4 k 503 FLEET Ark2 3 904 EFFORT 505 BOATS 506 PRICES 507 4 Figure 2 7 5 a Effort distribution on riggings after distribution on areas The structure of EXCEL Table 4 4 is illustrated in
269. ltistan Gillnett Baltistan Gillnett Baltistan Gillnett Baltistan Medium Ois investment Medium Diis invest Medium Ois investment Medium Mo Dis inwest Medium Investment Medium Mo Invest Medium Investment Medium Mo Invest Large Accept Decomm Large Reject Desomm Rule 1 Attrib 1 Decommission fee Baltistan Gillnett Ealtistan Large Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact 4 1 Hist Cashflow Baltistan Gillnett Exaltistan Large 1 Hist Cashflow Baltistan Gillnett Baltistan Large d Mas Capacity Baltistan Gillnett Ealtistan Large 2 2 Mas Capacity Baltistan Gillnett Baltistan Large 1 Hist Cashflow Baltistan Gillnett Baltistan Large 1 Hist Cashflow Baltistan Gillnett Baltistan Large Dis investment Dis invest ment Mo Diz invest Investment Invest 2 d Mas Capacity Baltistan Gillnett Ealtistan Large Investment d Mas Capacity Baltistan Gillnett Baltistan Large Invest Figure 2 12 3 Parameters in structural behaviour model RUM 98 113 TEMAS Manual 18 February 2008 2 13 TUNING INPUT 5 10 TUNING By tuning is meant the processes of finding the reference simulation of TEMAS The reference simulation is the situation scenario relative to which all the other simulations a
270. m mir has me en RR Se SL Ll m eS OT mE lee RE B h T i et Pos eT EFF BEFRI r ub i 8 hl mina ge GOH aaskb ee ee ee E AE a AN CEU ak Fen DL EALLI mur Full domm a ges war ae Cm LIS ipm ow oe F chaTIT E nmm oe To tee F E f LII ra as F B B Table 1 1 2 Summary of summary by Camparisan country Pair Deterministic of regimes First and Last year fer d amm i mia n mit NR es F Ss puis Pd Be Se um E grt P LESE n i ab a Pas De ee i TATE EE RPM AR ad tai a ws m ar Wm Pe ESE b har i E L usr Seelam ore E u Pe a aris Fee D ama CER CUM ei HAHAH WALLY umet 1 1 s E pm Figure 4 1 1 b First of Summary output 73 two alternatives and comparison of alternatives Note that the left hand side is identical to Figure a 146 TEMAS Manual 18 February 2008 The output for single simulations deterministic or stochastic provides many more details than the output from stoc
271. ming problems in implementing TEMAS Often the VB program broke down for no obvious reason and when restarted it appeared to be functioning perfect Thus the problems appeared not to be caused only by the programming bugs of the TEMAS developers but also but bugs in the Microsoft Office package The present TEMAS implementation uses the EXCEL worksheets for input and output only EE TEMAS Manual 18 February 2008 The cells of the worksheets do not contain any formulas such as Al A2 All calculations are made by VB code in the so called VB modules which you can inspect by clicking on the icon for the VB editor Thus TEMAS is 100 open source software It is an experience that complicated models should not be coded as EXCEL formulas although this is possible because the documentation and maintenance of large spreadsheet application becomes very cumbersome Therefore VB modules make all data manipulation in TEMAS The advantage of using EXCEL is that the user is in a well known environment and can use all the facilities of EXCEL for entry of input pre processing further processing and presentation of results from TEMAS It is furthermore the idea that the implementation TEMAS should be so that model and VB program can be modified by the users to meet special request from users Thus the user should also consider her himself a developer of TEMAS and with some knowledge of the EXCEL macro language the user can ch
272. n Trawler Baltistan Trawler Baltistan Table 4 6 EFFORT MULTIPLIERS Country Fleet V Size Area Rig 2000 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2 Per Pere Pers Pert Peri Ferz Pers Pert Perl Ferz Per 3 Pe West Baltic lt 110mm West Baltic gt 110mm East Baltic East Baltic Baltic Baltic Bornholm lt 10mm 3 gt H mm lt H mm gt H mm lt H mm M 4 k SOS FLEET Z Ark2 Ark3 W504 EFFORT 505 BOA Figure 2 7 9 b Examples of applications of options for pre processing of effort data and parameters compare figure 2 7 9 b 1 Make effort equal for all years 2 Make effort equal for all periods 3 Assign I to all effort multipliers 2 8 BOATS INPUT 505 5 Figure 2 8 1 shows the user form for entry of boats or number of vessel input data in worksheet S05 BOATS Table 2 8 1 a shows a list of the EXCEL tables in worksheet BO5 BOATS used the present demonstration example Worksheet S05 BOATS offers called fleet characteristics a blue template filled in vith no value a suite of options for definition of the so and if an option is not utilized the table is not deleted but displayed This 1s done to facilitate the comprehension of data data structure Table 2 8 1 b lists the tables of fleet characteristics that are deselected in the present demonstration example Note that except for the thre
273. n Gillnett Baltistan Large EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 Mar 335 335 335 335 29 Scandinavia OB Trawler Scandinavia 5 3350 3350 3350 3350 30 Scandinavia OB Trawler Scandinavia Options for Preprocessing of data E 1742 1742 1742 1742 31 Scandinavia OB Trawler Scandinawia L 402 402 402 402 32 Scandinavia Gillnert Ecandinavia Small 2814 2514 2814 2514 33 Scandinavia Gillnett Scandinavia Medi Goto Main Menu Main fener 1541 1541 1541 1541 34 Scandinavia Gillnett Scandinavia Large 402 402 402 402 er effort values are obtained by multiplication bu the effart Pelults and Read effort from disk F q 4 k h E 3 L EFFORT Read effort fram sheet E Li Ready Figure 2 7 1 User form for entry of effort related data and parameters worksheet S04 EFFORT The text in rows 12 19 reads Note Effort may also be defined by the effort capacity rules in which case the program will ignore the data on this sheet Effort is defined as the product of four factors 1 Effort Capacity Fl Vs Ct Vs Ct 2 Effort Dist On Areas YO FI Vs Ct Ar 3 Effort Dist Rigs Given Area YO FI Vs Rg Ct Ar 4 Effort Multipliers YO Fl Vs Rg Ct Ar where Fl Fleet Vs Vessel size Rg Rig Ct Country Ar Area Y Year q Period Reference effort is the efforts values from which all other effort values are obtained by multiplication by the effort Mults and distrib
274. n Ole Sortkj r Niels Bering Ovesen Jens Skriver S ren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard A pilot study Evaluating the possibility that Atlantic Herring Clupea harengus L exerts a negative effect on lesser sandeel Ammodytes marinus in the North Sea using 5 TBM data Mikael van Deurs Ejstrupholm Dambrug et modeldambrug under forsegsordningen Statusrapport for f rste malear af moniteringsprojektet Lars M Svendsen Ole Sortkjeer Niels Bering Ovesen Jens Skriver Seren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Blamuslinge og Stillehavsestersbestanden i det danske Vadehav efter ret 2006 Per Sand Kristensen og Niels Jorgen Pihl Tvilho Dambrug et modeldambrug under forsegsordningen Statusrapport for f rste malear af moniteringsprojektet Lars M Svendsen Ole Sortkjeer Niels Bering Ovesen Jens Skriver S ren Erik Larsen Per Bovbjerg Pedersen Richard Sk tt Rasmussen og Anne Johanne Tang Dalsgaard Nr Nr Nr Nr Nr Nr 169 07 170 07 171 07 172 07 173 07 174 07 175 07 176 07 177 08 178 08 179 08 Produktion af bledskallede strandkrabber i Danmark ny marin akvakulturproduktion Knud Fischer Ulrik Cold Kevin Jorgensen Erling P Larsen Ole Saugmann Rasmussen og Jens J Sloth Den invasive stillehavsosters Crassostrea gigas i Limf
275. n Minimum E 1 2 10 Some parameters a subset of P however may be estimated that way That could apply to the catchability coefficients 170 EM TEMAS Manual 18 February 2008 Other observations than landings can be used to calibrate TEMAS That could be CPUE observations from research surveys that are believed to be a proxy for SSB or recruitment 171 TEMAS Manual 18 February 2008 6 3 TUNING OF TEMAS By tuning is meant the processes of finding the reference simulation of TEMAS The reference simulation is the situation scenario relative to which all the other simulations are made and are compared to when addressing the What if then questions Tuning involves the calculation of certain parameters as discussed Sections 2 12 It should be noted that tuning does not involve a proper statistical estimation of parameters The reference simulation will usually be chosen to be a simulation in equilibrium that is a simulation where all results are equal in all years of the time series under study Furthermore the reference simulation will usually be chosen to be the fisheries situation of the current situation current year TEMAS is said to reproduce the current situation when it can reproduce the landings in weight observed the last data year for each combination of fleet stock time period and area To achieve this goal completely is usually impossible so one can only hope for a reasonable approximation Tak
276. n the component of the workbook that 1s the table the worksheets and the menus the user forms This 15 done by aid of the three pull down lists see Figure 1 3 5 TEMAS Manual 18 February 2008 When clicking on one of the items in the list you will be moved to that element table worksheet or user form The main menu also contains a number of auxiliary functions the eight buttons under the pull down lists MAIN MENU Evaluation Frame for fisheries management systems MAIN INPUT MENU Time of last run 27 03 2007 13 14 24 File Name of last run DEMON 5 Mig3 Title of last run DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries Number of fleets CE 1 2 CEZ 2 2 Stockis 5 Areals 10 Year s dt 1 4 ears Circular movement minimum 3 areas Select Table 073 Table5 2 NAMES OF FLEET CHARACTERISTICS 074 Table5 3 OVERALL MULTIPLIER FOR NUMBER OF BOATS AND EFFORT ALL FLEETS ALL COUNT 075 Table5 4 1 Baltistan INITIAL VESSEL AGE DISTRIBUTION AND INVESTMENTS NEW VESSELS 076 Table5 4 2 Baltistan NUMBER OF NEW BOATS MultS 077 Table5 4 3 Baltistan CREW PER VESSEL 078 Table5 4 4 Baltistan DAYS PERIOD 079 Table5 4 5 Baltistan NUMBER DF DIS INVESTMENT WITHDRAWAL VESSELS 080 Table5 4 6 Baltistan NUMBER OF ATTRITION VESSELS Clear all sheets Create Demonstration data Backup File Read existing case study from disk Delete File s Check input paramet
277. nary approaches when running EXCEL workbooks RECOMMENDATION 2 Use the Clear All sheets button from time to time as TEMAS otherwise will grow In size Without any data in the work sheets each of the workbooks takes up about 2 Mb but they may easily grow to 10 Mb after a number of applications Both main menus main menu of the input module Figure 1 3 5 6 and the calculation module Figure 4 4 1 contains the option to Clear all sheets 161 TEMAS Manual 18 February 2008 MAIN MENU Evaluation Frame for fishereis management systems MAIN CALCULATION MENU Time of last run 27 03 2007 13 14 24 Tien lack dune File Name of last run DEMON 5 Migs DEMONSTRATION EXAMPLE No 5 WITH FAKE DATA 2 Countries Number of fleets Chi 2 CE 2 2 2 Stock s 5 Area s 10 Year s dt 1 4 years Circular movement minimum 3 areas Select Table Select Menu Select Worksheet Clear all sheets gt Select simulation Options Write list of all tables Figure 4 1 1 The main menu for the calculation module 5 2 START CALCULATIONS Calculation in TEMAS is Automatic except tables v Recalculate before save of a cel as in an ordinary spreadsheet Actually there 15 option in EXCEL for manual calculation If you select this option calculations will be made only when you press the F9 key Likewise TEMAS 5 will only execute when you request it to do so corresponding
278. ne Fisheries Name of Hun BES Danish Institute for Fisheries Research Param Created 102001 File Name DEMON 4 VB Table 1 1 DIMENSIONS Table 1 2 STOCKS Table 1 3 FLEET VISUAL BASIC MODULE H DATA PROCESSING Humber T 1 z 3 4 5 T 8 3 VB VISUAL BASIC MODULE cn c J ga cH Jd CS DP INPUT Econom Ir HAN D LING TEXT FILES Figure 1 2 1 Flowchart for data and results of the TEMAS software 1 2 HOW IS TEMAS IMPLEMENTED The software implementation of TEMAS is intended to become a public software package That is to become of a professional standard with extensive documentation and user friendly design As DIFRES like most other fisheries research institutes associated with ICES use Microsoft Office as their standard package and most fisheries scientists are familiar with EXCEL this commercial software was considered suitable as user interface However this choice does not imply any validation or recommendation as to the qualities of MS Office EXCEL 1s selected the obvious choice for computer language is VISUAL BASIC VB the macro language of EXCEL and other MS Office components The present version of TEMAS is implemented in EXCEL 2003 Actually the developer of TEMAS encountered many program
279. ng error messages from EXCEL The problem may be caused by a bug in TEMAS or it may be caused by you doing something you should not do The latter explanation applies to Figure 4 7 1 You may also try to handle the error message yourself If you click on debug EXCEL will take you to the VISUAL BASIC editor and an arrow will point at the VISUAL BASIC line where the Run Time Error occurred and the line will be highlighted by yellow background as shown in Figure 2 14 2 As can be seen this should give you an indication that something might be wrong with the HUN _MESSAGES TXT and you may get the idea to close the EXCEL workbook which uses the message file and TEMAS will be running again m Microsoft Visual Basic BEAM CALC 17Jan 1 xls break M 3 MAIN Code 148 File Edit View Insert Format Debug Run Tools Add Ins Window Help Ea H EX n Ca Continue F5 482 2 ings coli Break Obrl Break General MAIH SINGLE DYNAMIC SIMUL az Dim year RZ Design Mode Open DirMm amp RULES For Output 34 Figure 4 7 3 How to restart TEMAS However to restart TEMAS you may either close it down and restart it or you may restart it by clicking on Reset in the VISUAL BASIC editor as shown in Figure 2 14 3 181 DTU Aqua rapportindex Denne liste d kker rapporter udgivet i indev rende ar samt de foreg ende to kalender
280. ng the results by fleet by showing some key results for the first and the last year by fleet The second table shows the same results for all fleets combined and now for all years in the time series simulated As appear all the key results given in the Summary of Summary are of an economic technical nature It also shows the total employment of the fleets There is only one direct biological result namely the total landings in weight units The output is divided into the three economic analyses 1 Financial analysis of the harvesting stakeholder Fishing industry 2 Financial analysis of the government treasury 3 Economic analysis stakeholder Society in general For each analysis is shown the Net cash flow and the net present value of cash flow To that is added information on total landings number of boats and crew This is a choice made by the authors to emphasize on the economic technical employment aspects TEMAS however offers you the possibility to create your own summary of output by aid of the facilities of EXCEL If you master the VISUAL BASIC language you can change the modules of TEMAS CALC but you can also manipulate the output by spreadsheet formulas Part two Table 3 3 2 of the summary single simulation output extends the first table in Figure 3 3 1 with more details It shows some details of the costs of fishing and it split the landings by stocks The results are shown by fleet for the first year and th
281. nged relative to the main directory TEMAS is ready to run without any further preparation The programs are ordinary EXCEL workbooks You start TEMAS by clicking on TEMAS INPUT see figure 1 3 1 Actually you may also start by TEMAS CALC if your input data has already been prepared but the first time you run TEMAS you should start with clicking on TEMAS INPUT When activated the first image you should see 15 shown on figure 1 3 2 You click on Enable Macros there are no viruses or worms in the macros of TEMAS if they come in the original form from the author TEMAS cannot run without the macros Microsoft Excel E E xl CATEMASATEMAS INPUT 0 01 xls contains macros Macros may contain viruses It is always safe to disable macros but if the macros are legitimate veu might lose some Functionality Enable Macras More Info Figure 1 3 2 first form shown when starting TEMAS The next form appearing on the screen is the opening form of TEMAS as shown in figure 1 3 3 The purpose of the opening form is primarily to inform you that TEMAS has been started up properly It also gives you some information of the data set currently in use if any Clicking on main menu takes you to the main menu for data entry Figure 1 3 4 Clicking the question mark buttons displays some textbox with additional information about the button next to the question mark In TEMAS INPUT module
282. ning success factor 15 defined as Sf nompa St AT Espo St if Espo St lt IF Pr St y Sf Nomra St AT Esra St tow rSf nompa St Ar Esra St if Esra St gt IF Pr St y where 0 lt pa 57 Ep St St Ar E 51 1 39 TEMAS Manual 18 February 2008 EXCEL Table 2 2 6 1s the last recruitment parameter table It contains the exogenous recruitment trend parameters TEMAS allows for analysing the effect of a recruitment trend that 1s analysing the effect of average recruitment slowly going downwards or going upwards Rec St y g Ar RecDist Area HELP Compute initial stock numbers Page 1 of 3 Pages This option be used if you do nat know the age distribution of the stock in the First period of the First year This option assumes that the stock is in equilibrium and that total Fishing mortality remains constant for alle age groups in all periods and areas The equilibrium stock is then computed by MstartiSt year 1 period 1 area age Mstart Stock vear 1 period 1 area age 1 Expt M FiStock age 1 17 The constant Fishing mortality is the user s choice and it is entered through as explained below A 9 2 3 St Ar RecDisty St q STR SSB py St y 1 RecTrend St RecTrend St y can be any function of y year Recruitment sometimes shows such a trend over a long series of years for reasons which are not
283. nt examples one could think of and should be considered illustrations of the concepts rather than the only examples for TEMAS Regime Comparisons Regime B Scientific advice Advice No Advice TAC based on last No scientific advice based on harvest years landings and selected CPUE control rule trends TAC regime with Advice TAC Misreporting Various assumptions No misreporting based on harvest effect of regulations on With Misreporting control rule misreporting No misreporting With without new TAC With current TAC with NEW Technical Technical manage ment Technical management management measures E g closed measures E g closed measures except for seasons and or closed areas MPA seasons and or closed areas closed areas MPA seasons TAC Effort regimes with TAC based on the Effort An alternative regime ACFM s harvest control current HCR of management by effort regulations rule ACFM Both regimes based on the current HCR of ACFM TAC Effort regimes with TAC based on the Effort An alternative regime NEW harvest control rule current HCR of management by effort regulations ACFM Based on an alternative HCR mixed fisheries fleet based Two alternatives for TAC with first option TAC with second option for closed definition of MPAs and for closed season season and MPA closed seasons MPA Table 1 1 1 The five pairs of regime comparisons o
284. nual 18 February 2008 SUBR Fl Vs Rg Ct y q Subsidy rate on landings not used in current version of TEMAS SUBR Fl Vs Rg Ct y q Subsidy rate on effort called operation costs in current version of TEMAS SUBR Fl Vs Rg Ct 4 Subsidy rate on value of landings not used in current version of TEMAS Pwuinpo Fl Vs Rg Ct St y a q Intervention price the PO price is not used in the present version of TEMAS LICR FI Vs Ct y Annual license fee of one vessel DECCR FI Vs Ct y q Decommission fee of one crew member DECVR FI Vs Ct y q Va Decommission fee of one vessel CO Ct y q Cost of fisheries management is not in the current version of TEMAS Management n F 79 80 Table 7 2 1 1 2 Ireland Trawl Large COSTS 2 2000 2000 F er 2 2000 Per 2000 Per 4 2001 Per 2001 F ez A Operating cost South area amp 3 A Operating cast Morth area 84 4 Crew salary South area 25 A Crew salary Morth area 4 Handling cost South area Sr A Handling cast Morth area eo A Sale cast South area 83 A Sale cost Morth area 90 4 Crew share 31 A License fee 92 A Insurance 33 Other fired costs 34 A Investment per new vessel 35 Vessel Decommission Age 1 96 A Vessel Oecommission Age 2 97 4 Vessel Decommission Age 3 38 4 Vessel Oecommission 4 33 A Vessel Decammission Age 5 100 4 vessel Decommission Age
285. o movements out of Bornholm or Gotland Movements in Quarter 2 Ages 0 4 60 moves from Bornholm to East 20 to Gotland 20 remain in Bornholm 50 moves Gotland to East 20 tol Bornholm and 30 remain in Gotland No movements out of East Baltic Movements in Quarter 3 Ages 0 1 20 moves from East to Bornholm 13 moves to Gotland and 67 remain East 60 moves from Bornholm to East 20 to Gotland and 20 remain in Bornholm 50 moves from Gotland to East 20 to Gotland and 30 remain in Gotland Ages 2 4 No movements out of East 60 moves from Bornholm to East 20 to Gotland and 20 remain in Bornholm 50 moves from Gotland to East 20 to Gotland and 30 remain in Gotland Movements in Quarter 4 Ages 0 4 No movements in age group 0 No movements out of Bornholm and Gotland Some movements from East to Bornholm and Gotland The last stock table EXCEL Table 2 6 1 is shown in Figure 2 5 8 a b It contains the natural mortality M Here it is possible to let natural mortality depend on area time and age Figure 2 5 8 shows the organization of the EXCEL table for one stock The columns are the years divided into periods and the rows are the areas and the age period groups In this case however the traditional ICES approach to let M 0 2 for all ages to all times all areas In that case you may either use the facilities of EXCEL to fill in the table with 0 2 everywhere you may here ignore that some cells contain the text
286. od but not all of them From the pure economic point of view it is irrelevant where the landings come from in terms of stock and area and therefore it may usually not make sense to make an economic analysis for a fish stock or a fishing area in isolation The NPVs Net Present Values of the net cash flows are shown below the column for the first year but it refers to the entire time series by the formula where r is either the discount rate for the financial analysis or the discount rate for the economic analysis see discussion in the theoretical paper on TEMAS Net Value NPV r gt 5000 1 ac 155 EE TEMAS Manual 18 February 2008 Table 2 1 1 FINANCIAL ANALYSIS OF HARVESTING Trawler Deterministic I 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 9730 5 9114 3 4509 0 3277 9 3585 1 1265 7 Revenue tax 18 2 2 1316 5 851 83 609 77 486 53 455 71 225 45 163 89 179 25 63 287 Gr revenue after tax 355 2 25013 16185 11586 92440 8658 6 4283 6 3114 0 3405 8 1202 5 Investment 1 0 255 0 260 0 50 0 1350 27250 0 Decommission 70 0 14400 0 18900 0 42600 0 10500 00 532 80 30320 24244 60 Flow 11866 3065 3 2517 1 5142 7 5504 4 6761 0 N P V cashFlow 190000 0 O Qd Q Table 2 1 2 FINANCIAL ANALYSIS OF GOVERNMENT TREASURY Trawler Deterministic 2006 2007 2008 2009 Subsidies boats yr 16800 15954 1450 13129 11936 12135 5701 3274 6 26422 6
287. odels but the RUM has nicer mathematically properties It was not considered necessary to have two almost equal options for behaviour models in TEMAS EXCEL Table 8 1 Figure 2 11 2 shows that names of rules are organized by country four rules for country Baltistan followed by four rules for country Scandinavia Column B in EXCEL Table 8 1 contains the name of the rule for example Choose fishing ground in cell B18 The rest of the line contains the available choises which in the case of fishing grounds are the 5 areas West Baltic East Baltic Bornholm and Gotland There is a set for each fleet Trawlers and Gill netters 89 EM TEMAS Manual 18 February 2008 Table 8 2 Baltistan TRIP BEHAVIOUR COEFFICIENTS OF R U M COG Fer 2000 Fer Z 0 0 For 2000 F er 2001 Fer COOP r RULE 1 CEharazk 17 Iradikinn 7 E alki rkan SMALL Ghearack 1 Tradition E alkirtan RULE 2 CGharazt 1 Tradition E alkirtan Eharazk 17 Ira4dikinn 7 E aleurear fiEErIB 17 V alus Landing PARTIC 7 PIP H 0 r HULE 1 harsk 17 Iradikinn 7 TRAWLER Ghearack 1 Tradition E alkirtan RULE 2 Gharact 1 Tradition E altirtan 17 Iradikinn 7 E aleure ar Akkrib 17 V alus Landinr PARTIC 7 PIP H 7 OE Ir HULE 1
288. of the same species P LCFL Vs Re Ct St y q P yas o Vs Rg Ct St q e St y e e e where PFlex Fl Vs Rg Ct St is the price flexibility Fl Vs Rg Ct St y is constant coefficient 78 TEMAS Manual 18 February 2008 The price flexibility is shown in Figure 2 9 3 EXCEL Table 6 2 3 23 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 43 50 51 52 53 54 58 53 60 61 62 63 64 65 66 67 68 63 70 71 72 73 74 75 76 77 4 k S04 EFFORT 505 BOATS 3 506 PRICE west Cod West Cod west Cod West Cod west Cod West Cod west Cod West Cod west Cod west Cod west Cod west Cod west Cod west Cod west Cod Weet Cod west Cod west Cod west Cod west Cod East cad East cad East cod East cad East cod East cad East cod East cad East cad East cad East cad East cad East cod East cad East cod East cad East cad East cad East cad East cad West Cod East cod E E Li E F 3 H Table 6 2 2 Baltistan RELATIVE PRICE over age groups Trawler OB Trawler OB Trawler Gillnett Gillnett Gillnett Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Small Medium Large Small Medium Large Age Per Age Fer Per Age Fer 1 1 1 Age 1 Age Z Age 2 Age 2
289. ological output related to the production of fleets Furthermore the additional information shows the capacity the number of vessels and the employment All these results are key results and may be used as indicators for the performance of the fleets CPUE and Val PUE represent the production in the economic model But CPUE also indicates the stock biomass so somehow these are central indicators of the system of interest both to biologists and economists The gross revenue Table 3 4 1 is derived as the product of Val P U E and price The gross revenue minus the costs of fishing and investments gives the Cash flow in the financial analysis of the harvesting sector The cash flow represents the profit of the fleet Table 3 4 1 or the industry summary output A similar concept is used in the economic analysis where the stakeholder is considered to be the society For the government treasury the perspective is kind of turned around with for example tax being an income not a cost Note that table 3 1 3 and 3 4 1 does not match in all lines Table 3 1 3 shows results for all fleets combined and then it does not make sense to give any results on effort CPUE and Val PUE as these concepts are linked to individual fleets Table 3 1 3 contains only output for which the units are fleet independent so that they can be summed over fleets Some output of the economic tables can in a meaningful way be given by stock area and by time peri
290. on V First single simulation Second single simulation Second single simulation SIAR AS EH w m Figure 2 11 4 The user form for selection of type of simulation including the toggle button to select between the two effort capacity options 92 TEMAS Manual 18 February 2008 2 12 STRUCTURAL RULES INPUT 509 STRUC RU The sheet 509 STRUC RU contains the input parameters the RUM Random Utility Model for long term or structural behaviour This model is mathematically the same as that for short term behaviour For a definition of the RUM model see foregoing section Section 2 11 The four structural rules currently in the TEMAS package are 1 Decommission Rule This and the three following rules are the so called long term rules which determines the capacity of the fishing fleets The decommission rules takes the decision on accept of a decommission compensation based on the recent economic performance of the fleet and the age structure of the fleet 2 Dis investment rule This rule decides on the bankruptcy of a vessel based on the recent economic performance of the fleet 3 Attrition rule The attrition rule takes the decision on scrapping a vessel due to old age based on the age structure of the fleet not implemented in the Baltic case 4 Investment rule This rule decides on the investment in a new vessel based on the recent economic performance of the fl
291. or TAC T EM TEMAS Manual 18 February 2008 2 5 STOCK INPUT 502 STOCK This section and the following section will introduce the formats of TEMAS input by a hypothetical example which has some resemblance with the Baltic cod fisheries The dimensions of this demonstration example are shown in Figure 2 5 a b m DIMENSIONS RUN Date of this run Name of Run Param Created File Name Table 1 1 BASIC DIMENSIONS Table 1 2 STOCKS Number Age groups Mumber of periods Number of Stocks Number of Countries Number of Areas Number of Years Fist Years Table 1 5 1 1 Baltistan FLEETS Table 1 5 1 2 Baltistan FLEET DIMENSIONS Age groups Wessel sizes Riggings Trawler Baltistan Gillnett Baltistan Table 1 5 2 1 Scandinavia FLEETS Table 1 5 2 2 Scandinavia FLEET DIMENSIONS 28 Age groups Vesselsizes Figgings 23 Trawler Scandinavia 30 Gillnett Scandinavia 3 M 4 k MNSD1 DIM 502 STOCK 503 FLEET 504 EFFORT Figure 2 5 1 a Dimensions of Demonstration example used to illustrate input formats 22 03 2007 19 31 leets Cri 2 Ct 2 2 2 Stockis 5 P 12 00 00 AFA 00 00 DEMONS Mig Table 1 3 COUNTRIES Table 1 4 AREAS lumber of Fleets Table 1 5 1 3 Baltistan NAME OF VESSEL SIZES Table 1 5 1 4 Baltistan RIGGINGS Mes siz 1 Yez siz 2 Wez ziz 3 Wezziz4
292. orway Number of Vessel Ages 11 Max 15 87 Fleet 2 Number of Vessel Sizes 2 Max 1 Small 2 Large 88 Fleet 2 Number of Rigs 2 Max 5 1 Cod net 2 Sole net 89 S09 STRUC RU 510 TUNING 4 512 DEMON 513 TABLES 514 TEMAS X 51 lt gt Figure 2 3 1 Dimensions of Demonstration example No 4 17 TEMAS Manual 18 February 2008 EN NENNEN D S SK L2Z i X T gt gt ss IT 1 IDIMENSIONS Table 1 1 BASIC DIMENSIONS Number 15 Number of periods 15 Number of Stocks 17 Number of Countries 18 Number of Areas 18 Number of Years 20 Fist Years Table 1 5 1 1 Baltistan FLEETS Age groups 1 OB Trawler Baltistan sillnett Baltistan Table 1 5 2 1 Scandinavia FLEETS Age groups Gillnett Scandinavia eo a RO SOL ROLL RO LOL LOL ROLL fois co c tn Ca F3 OB Trawler Scandinayvia RUN INFORMATION Date of this run Name of Run Param Created File Name Table 1 2 STOCKS Table 1 5 1 2 Baltistan FLEET DIMENSIONS essel Hui Table 1 5 2 2 Scandinavia FLEET DIMENSIONS essel Pdl x M MASU1 DIM 502 STOCK 503 FLEET 504 EFFORT 505 BOATS 4 lt Klar Figure 2 3 2 a Pseudo Baltic demonstration example a M TN R Ss 22 03 2007 19 31 12 00 00 AM 00 00 DEMON 5 Mig3 Table 1 3 COUNTRIES Number o
293. ou have the graph it will stay in the worksheet and be modified every time you make a new simulation Like that you can customize the graphical output of TEMAS If you master the VISUAL BASIC language you may add sub routines which produces tables for graphs on your own choice You may as well make your own tables derived from the standard output tables of TEMAS but then you should remember that TEMAS clears the output sheets when it restart the calculations Thus you should make a copy your private tables in a separate non standard sheet in TEMAS CALC This is the main reason why EXCEL has been chosen for the implementation of TEMAS namely to give the user the maximum freedom to customize input and output handling and presentation by aid of a well known tool Section 4 3 describes an example of a user defined table to manipulate input data to TEMAS One problem with the TEMAS output is that the there is so much of it It is necessary to be rather selective concerning the choice of results to present in the report on the TEMAS analysis Probably one will not show age structured results in the final report unless there is a request to address questions related to size distribution A TEMAS analysis aiming at assessing the effect of mesh size changes may require the presentation of age size structured data whereas for other analyses if will suffice to present only total landings by weight and or by value Thus there is no set of stand
294. parameters to analyse the impact of the fleets on the government budget B ECONOMIC ANALYSIS The economic input arameters to analyse the economic performance of fishing fleet s and the entire fishery i e from the point of view of the economy as a whole Figures 2 10 3 a b contain the rates of costs investment and decommission of the three models A FINANCIAL ANALYSIS OF FLEETS B GOVERNMENT BUDGET C ECONOMIC ANALYSIS where the models are indicated by A B and C The table 1s country fleet and vessel size specific Some of the costs are area specific 82 TEMAS Manual 18 February 2008 E Li E Table 7 2 1 1 1 Baltistan OB Trawler Baltistan Small COSTS 2000 F er 1 2000 2 2000 F er 3 2000 F er 4 2001 F 4 Operating cost west Baltic A Operating cost East Baltic A Operating cost Mot Baltic A Operating cast Bornholm A Operating cast Gotland A Crew salary west Baltic A Crew salary East Baltic A Crew salary Mot Baltic A Crew salary Bornholm A Crew salary Gotland A Handling cost west Baltic A Handling cast East Baltic A Handling cost Mot Baltic 4 Handling cost Bornholm 4 Handling cost Gotland 4 Sale cost West Baltic 4 Sale cast East Baltic A Sale cast Baltic A Sale cost Bornholm A Sale cast Gotland A Crew share A License fee A Insurance A Other fired costs A Investment per new vessel A Yessel Decommission Age
295. pproach F Fpa if Biomass gt By F 0 if Biomass lt Bim if Bim lt Biomass lt Bpa then F Fyq Biomass B jim Bpa Biim Fra Fishing mortality of the precautionary approach Critical lower limit of Fishing mortality Bim Lower biomass limit of the precautionary approach Bpa Biomass of the precautionary approach The amount af HCR excess accepted here given as a factor Exceed factor That is Landings lt Exceed Factor TAC The adaptive appraoch maximum changes in TAC is defined Maximum change up 9o of TAC in two consecutive years when F gt Fpa or B lt Bpa Maximum change down 96 of TAC when F lt Fpaor B lt Bpa Figure 2 16 2 EXCEL Table 15 1 contains the parameters of the ICES harvest control rule fishing mortality of the precautionary approach Flim Critical lower limit of Fishing mortality Bim lower biomass limit of the precautionary approach and Bpa Biomass of the precautionary approach Figure 2 16 2 also contains acceptable exceed factor X 2 St y for TAC and the maximum relative change of TAC between consecutive years of the adaptive approach that is if the TAC increases TAC St y and if TAC decreases TAC St y The Harvest control rule of ICES is implemented by assigning a value the mean fishing mortality in the forecast Fror Mean St y 2 The forecast is made in year y this year based data in last data year y for next year
296. put 240 1 GOVERNMENT BUDGET ANALYSIS Baltistan CIE Trawler Baltistan These are the financial input er Table 2 1 1 2 2 z 2 Economic Output 260 1 Annual GOVERNMENT BUDGET ANALYSIS Baltistan Trawler B These are the Financial input 28 Table 2 1 1 2 3 1 2 Economic Output Zit 1 ECONOMIC ANALYSIS Baltistan OB Trawler Baltistan Medium These are the economic input 23 Table 2 1 1 2 3 2 2 Economic Output 234 1 Annual ECONOMIC ANALYSIS Baltistan OB Trawler Baltistan These are the economic input 30 Table 2 1 1 2 4 1 2 Economic Output 303 1 S0DITIONAL INFORMATION Baltistan Trawler Baltistan Mediu Additional information 31 Table 2 1 1 2 4 2 2 Economic Output 342 1 ANNUAL ADODITIOMAL INFORMATION Baltistan Trawler E altist Annual Additional informatior 32 Table z 1 1 3 1 1 2 Economic Output 375 1 FIMAMNCIAL ANALYSIS OF FLEETS Baltistan Trawler Baltistan These are the financial input 33 Table 2 11 3 1 2 2 Economic Output B 1 Annual FINANCIAL 515 OF FLEETS Baltistan OB Trawler Ba These are the financial input 34 Tahle2112321 2 Fronomic 1 BUDGET mI Raltistan OF Trawler Raltistan These are the Finanrial innuit Table List Fl Out Per Ar Fi Effort Message Fl_Out_A lt gt 424 TEMAS Manual 18 February 2008 3 7 MULTIPLE STOCHASTIC SIMULATION EE j E C jJ D J E eee Summary economic landings
297. r OB Trawler OB Trawler Gillnett Gillnett Gillnett Gillnett Gillnett Gillnett Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Baltistan Small Small Medium Medium Large Large Small Small Medium Medium Large Large lt H mm gt 110mm lt gt Timm lt 10mm H mm lt 10mm 10mm 110mm 10mm West Baltic East Baltic Mot Baltic Bornholm Gotland West Baltic East Baltic Not Baltic Bornholm Gotland Relative catchabilities over years and periods are normalized zo that lt Relative Catchability lt 1 501 DIM Arki 502 STOCK 4503 FLEET 504 EFFORT SDS BOATS j Figure 2 6 2 Fleet structured input Absolute catchability coefficients The explanation below the table row 24 25 says Catchability Fl V Size Rig Ctry Spec Y Per Area Absolute Catchability Fl V Size Rig Ctry Spec Area Relative Catchability Fl V Size Ctry Rig Spec Y Per Area Relative catchabilities over years and periods are normalized so that 0 lt Relative Catchability lt I 49 28 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 43 50 West Cod west Cod west Cod west Cod west Cod west Cod West Cod West Cod West Cod west Cod west Cod west Cod East cad East cad East cad
298. r Baltistan Accept Decomm 38 39 40 41 42 43 44 45 46 47 48 43 0 51 52 53 54 55 5E 57 5B 58 51 62 63 64 65 EE BF 68 69 71 72 72 74 75 7E 77 78 73 en 91 82 83 84 85 BE 88 89 90 31 Rule 1 Charact 1 Hist Cashflow Baltiztan DE Trawler Baltistan Medium Reject Aule 1 Attrib 1 Qecommission Fee Baltistan CIE Trawler Baltistan Medium OB Trawler Baltistan Medium Dliz investrment Trawler Baltistan Medium Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 1 Charact Rule 1 Charact t Hist Cashflow t Hist Cashflow 2 d Mas Capacity Baltistan d Mas Capacity Baltistan 2 1 Hist Cashflow t Hist Cashflow e lan Capacity Baltistan 2 d Mas Capacity Baltistan 1 Hist Cashflow Baltistan 1 Hist Cashflow Baltistan Baltistan Baltistan Baltistan Baltistan OB Trawler Baltistan Medium Dis inwestment OB Trawler Baltistan Ma OB Trawler Baltistan Investment Trawler Baltistan Ma Invest Trawler Baltistan Medium Investment OB Trawler Baltistan Medium Ma Invest OE Trawler Baltistan Large Accept Decomm OB Trawler Baltis
299. r original data 113 TEMAS Manual 18 February 2008 RECOMMENDATION 2 Use the Clear All sheets button from time to time as the workbook otherwise will grow in size Without any data in the work sheets each of the workbooks takes up about 2 Mb but they may easily grow to 10 Mb after a number of applications 2 INPUT TO TEMAS 2 1 WORKSHEETS OF THE INPUT MODULE OF TEMAS Input to TEMAS is entered by ten EXCEL worksheets of the TEMAS INPUT workbook 1501 DIM 502 STOCK 503 FLEET 504 EFFORT 505 BOATS 506 PRICES 507 ECONOMY 508 TRIP RU 509 STRUC RU 510 TUNING 511 OBS 512 DEMON 513 TABLES 514 TEMAS 515 There is in addition a worksheet Table list which gives only information generated by the program about the contents of the input sheets Thus the TEMAS INPUT workbook consists of 11 spreadsheets Input to TEMAS is partitioned into ten main groups as structured by the worksheets of TEMAS INPUT Observation used for model calibration S09 STRUC RU Structural rules input Parameters of the long term behaviour algorithms The input parameters are organized in tables All tables of TEMAS INPUT and TEMAS CALC have exactly the same layout exemplified by Table 2 1 1 They are all produced by the same VB subroutine The cells used to enter input parameters have yellow background colour Thus you should enter input values only in yellow cells Tables without yellow cells in the worksheets o
300. re made and are compared to when addressing the What if then questions The reference simulation will usually be chosen to be a simulation in equilibrium that is a simulation where all results are equal in all years of the time series under study The reference simulation will usually be chosen to be the fisheries situation of the current situation current year TEMAS is said to reproduce the current situation when it can reproduce the landings in weight observed the last data year for each combination of fleet stock time period and The idea of calibration is closely related to tuning Calibration means to adjust certain parameters of TEMAS so that TEMAS can make a simulated prediction for a historical period that does not deviate too much from the observed fisheries For example TEMAS should be able to simulate predicted catches from 1995 to 2005 that do not deviate too much from the actual observed catches 1995 2005 TEMAS calibrates some of its parameters by aid of the so called modified y7 criterion Sokal and Rohlf 1981 2 XY Observed Indices X Calculated where Xeakculated symbolises prediction variable of the model for example the weight of cod caught by a certain gear rigging of a fleet fleet at a certain time in a certain area Xobservea indicates the value of X observed from a historical period The variables X are selected so that they are e
301. re processing of data 2 Go to Main menu 3 Read Stock Parameters from disk file 4 Read Stock parameters from works sheet Option 1 for pre processing of data takes you to a new user form which will offer you a number of options for pre processing of data Pre processing essentially means to assign values to parameters according to some rules for example 1 Assign the same value to all years 2 Assign the same value to all time periods 3 Assign zero to all parameters of a certain type ie etc You might have got the same explanation by clicking on the question mark next to the command button Option 4 reads the values currently in the worksheet and store them in text file on the hard disk Thus there 1s always a backup of your parameter values on the hard disk They remain unchanged until next time you click on the yellow button Read stock parameters from worksheet You can always refresh the worksheet values with the values from the text file by clicking on the blue button Read stock parameters from disk file Al parameters are stores in one single subdirectory and you may take a copy of that subdirectory to get a second backup of parameter values Table 2 5 1 shows a list of the EXCEL Tables of S02 STOCK the tables you will have to fill in with parameter values We shall use the name EXCEL Tables to separate the Tables shown in the figures the worksheet examples from the Tables of the manual Recall that the yellow
302. resent TEMAS version for the Baltic Max Capacity Actual capacity Ct Vs Fl Ct pie l Fl Max P MAL Ct FL Vs Ct y q e TON Fl Vs Ct EPT Fl Vs 1 The variable vacant licenses is defined to prevent investment when no licenses are vacant that 15 95 EM TEMAS Manual 18 February 2008 Vacant Licenses Fl Ct VS max FI Ct 0 if MAL gt NUyy A El Vs Ct y q e TON FLVs Ct Fl Vs 1 Fl Ct VS max FI Ct Level 1 0 if MAL C s NU 4 FLVs Ct y q e TON FI Vs Ct y Fl Vs 1 EN INPUT RELATED TO STRUCTURAL BEHAVIOUR EE F Ed READ STRUCTURAL RULES EN it meo Structural Rules 2 mber of bos Long term rules Hote Goto Mam Men i Read Huge from fram diskhle B i Read Rules fram sheet B M 4 gt M SDS TRIP RU 3509 STRUC_RU Si 4 Figure 2 12 1 User form for entry of structural behaviour related parameters Index EXCEL Table Table9 STRUCTURAL BEHAVIOUR RULES Table9 1 1 Baltistan STRUCTURAL BEHAVIOUR COEFFICIENTS OF R U M Scandinavia STRUCTURAL BEHAVIOUR COEFFICIENTS OF R U M Table 2 12 2 Tables in the structural behaviour input sheet 809 STRUC RU 96 215 TEMAS Manual 18 February 2008 JE np 1 IINPUT RELATED TO STRUCTURAL BEHAVIOUR 2 3 4 5 8 3 the option to apply the behavioural rules to determine the n
303. rt is not given very high or very low values The equation above is valid only in a limited range of stock biomasses Anyway essentially we can tune the catchability to reproduce an observed landings PREPROCESSING OF OBSERVED LANDINGS aj ee Figure 2 14 4 Options for pre processing of observation data Table 2 14 4 shows the Pre processing menu of worksheet 511 OBS The option Make observed landings equal for all years takes the observed landings from the first year and assigns that value to all other years Y FLVs Rg Ct St Ar YO Vs 511 4 Ar If you select that option the values of the cells of years later than first year become irrelevant The option Make observed landings equal for all time periods takes the observed landings from the first period and assigns that value to all other periods J FL Vs Rg Ct St y q Ar Fl Vs Rg Ct St If you select that option the values of the cells of periods later than first period become irrelevant 108 EM TEMAS Manual 18 February 2008 2 15 INPUT OF TECHNICAL MANAGEMENT MEASURES S14 TEMAS Technical management measures TEMAS are measures which are not catch quotas in the terminology of the TEMAS model In the present version of TEMAS there are considered only four technical management measures namely 1 Minimum landing size 2 MPA Marine Protected Areas 3 Maximum number of sea days 4 Closed seasons
304. s may be preceded by scrapping dis investment of old vessels For example small vessels may be replaced by large vessels if large vessels give higher cash flow Also move of investments from one fleet to another fleet can occur 93 113 TEMAS Manual 18 February 2008 Coefficient Dis Investment Characteristics 1 Historical cash flow Historical cash flow Historical cash flow Characteristics 2 Maximum Allowed Maximum Allowed capacity Capacity Attributes 1 Decommissionfee j Table 2 12 1 Characteristics and attributes for three models of fleet capacity dynamics applied to the baltic Case study Characteristics in the three rules are FIL Vs Ct 4 CF Vs Ct q Decomm 1 Dis Invest 5 Ct y q FI Vs Ct y q X X X pis Invest Ct y q Vacant Licenses X FL VS Ct y q FLVs Ct X Invest FL Vs Ct y q Vacant Licencses and the single attribute considered in the decommission rule 15 FLVs Ct y q Decommission fee for one vessel The cash flow concept CF Fl Vs Ct y q used in the present RUM is the average cashflow per period during the period 4 Ll y 1 and the periods for year y 1 2 q 1 The cash flows of hesorical years are weighted by a factor Fac which could be FacF 07 where Fac is a constant 0 lt lt 1
305. s of the cockpit are produced by a Video film and what the video film shows depends on how you operate the navigation instruments Thus everything is fake and has no relationship to the real world However despite its illusion features the flight simulator is a very useful tool because it 1s almost the same as the real world and the pilot trainees achieve experiences in a safer way than in real aeroplanes They can actually see what happens when they break rules without making any damage Figure 1 1 2 Look at a flight simulator from the outside Hitting the virtual control tower of the virtual airport 1s kind of ok in a flight simulator Nobody get killed or anything damaged in a flight simulator The Evaluation Frame is like a flight Operatinal model simulator The simulated management system 15 like the fake cockpit of the flight simulator The operational model of TEMAS 16 like the video film you see on the windows of the flight simulator 4 mei peri a 4 E i a E principles this comparison correct but when it comes to the details you may claim that the operational model cannot mimic the ecosystem to the same degree as the flight simulator can mimic say the run way and the airport Figure 1 1 3 Look at a flight simulator from the inside The simulation of the cockpit is almost perfect the flight simulator and although it is easier for us to simul
306. s the effect of the management regulations on the eco system and the fisheries Thus you may consider TEMAS as a triple model Firstly it executes the simulation of management regime A using the operational model to produce input to the management simulation Secondly it does the same of management regime B and thirdly it compares the two simulations Comparison _ Update dynamics of operating system Update dynamics of operating system Year year 1 Year year 1 gt Figure 1 1 1 The principal components of TEMAS for time period of a dynamic process The operating model produces Input to the management model for year y The management produces management regulations for year y 1 The management regulations for year y 1 is used as Input to the operational model to produce input to the management model in year y 1 Etc TEMAS Manual 18 February 2008 In the context of evaluation of MPAs and closed seasons the alternative management regimes could be e The current management regime with no closed seasons and MPAs The current regime could be Eg TAC and maximum number of sea days mesh size regulations etc e The current management regime with closed seasons and MPAs In the standard implementation of TEMAS five pairs of alternative management regimes are considered Table 1 1 1 The six pairs or regime comparisons suggested here may not be the most releva
307. s the same as standard deviation since the mean value is one The parameters which can be made stochastic variable in TEMAS are indicated by light blue cells in the work sheet These are Bertalanffy growth parameter K normally distributed EXCEL Table 2 1 1 Figure 2 18 2 Condition factor normally distributed EXCEL Table 2 1 1 Figure 2 18 2 The stock recruitment relationship log normally distributed EXCEL Table 2 2 1 Figyre 2 1 8 2 Catchability coefficient EXCEL Table 3 1 2 Figure 2 18 3 FON 126 EM TEMAS Manual 18 February 2008 mu able 2 1 1 GROWTH AND MATURITY PARAMETERS Cond Maturity Maturity REIMO RelStDe Loa K t zero 50 175 ev K West Cod 0 1 0 1 East cod 0 1 0 1 able 2 1 2 CONDITION FACTOR Fer 1 Per 2 Per 3 Per 4 West Cod East cod able 2 2 1 RECRUITMENT PARAMETERS H 5 D 5 H 5 Const Re H S Ficker Ficker 5 Coer 2 D S Exp RelStD Fregout Mag Out Autocorr Model Biom 2 2 Slope 2 coeH 3 Exp 3 14 4 4 ewHR sts str Durst Yrs Choice west Cod 0 5 East cad 0 5 OF M 4 k HN 501 DIM Z Arki 56502 STOCK S03 FLEET Z Ark2 Z Arka 504 EF I lt gt Figure 2 18 2 Relative standard deviations of Bertalanffy growth parameter K normally distributed and Condition factor normally distributed St DewO BiomParm Rig Effect West Cod Trawler Baltistan Small lt
308. sels Decommissions Artritionz Withdrawals Total Large Mew vessels Large Decommissions Large Attritians Large withdrawals Large Total Decommissions 2000 F er 1 Initial 2000 2000 2000 2001 2001 2001 2001 2002 2002 2002 2002 number Fer z Fer 3 Fer A Fer 1 Fer z Fer 3 Fer 4 Perl Fer z Fer 3 4 Decommissions Decommissions ca L c ol oe s h Da c 2 oc co mm oOo Oo oc co oc oO oc co ow co wo co mm oc mm amp c oc mm l r oc oc mm rx D o rn pra mm amp E a 4 a co I ccu nra a Oo co x T a Oo oc oc rx T 5 5 4 4 These summary values are derived from the other tables for checking and presentation purposes 2003 Fer 1 co ra 8c amp Fx r2 Figure 2 8 6 Summary of number of vessels showing New vessels Decommissions Attritions and Withdrawals Explanation below EXCEL Table 5 4 10 These summary values are derived from the other tables for checking and presentation purposes 74 424 TEMAS Manual 18 February 2008 mz TEES
309. ser form for selection of type of simulation Recall that TEMAS executes two alternative simulations two alternative scenarios and makes a comparison We call the alternatives first simulation and second simulation You may execute the simulations as a single simulation or as a pair of comparative simulations You may execute the simulation in deterministic mode or stochastic mode In stochastic mode there is the option to make many simulations of pairs of alternative scenarios in order to estimate probability distributions of outputs These options lead to 5 different types of simulations five option buttons 2 Explanation lations Many repetitions of two stochastic alternatives simulations SELECT SIMULATION TYPE EVALUATION FRAME fndude Exchnde behaviour rides Select Hegimes Case study Selected study 17 Scientific advice Na scientific advice Oo Pair of deterministic simulations Pair of stochastic simulation Pair of Multiple stochastic simulations Select Output Figure 3 2 1 Userform for selection of case study behaviour models and run type 130 EE TEMAS Manual 18 February 2008 The option to select a single deterministic simulation allocates the constant value 1 0 to all stochastic factors That 15 the input values of parameters as they appear on the spreadsheet are used It produces output distributed over 16 optional worksheets The details about the output sheets are presented in ch
310. shown in Figure E 1 2 5 Ct Fl VS Max FI Ct St Max Y last Max AT Max 2 gt 2 gt 2 2 2 Ct 1 Fi 1 Vs 1 St ly y 4 1 Ar l 1 2 5 F1 Vs e Ct 51 4 Ar i m F1 Vs e Ct St y e g e Ar YE FI Vs e Ct St y e q e Ar Fl 1 2 Flmax Ct time age 7 Rg Riggingofgear Rg 1 RQmax FI Ct Year y Yiirst ytirst 1 9 5 Stock St Va 1 Vs 1 VSmax FI Ct 169 TEMAS Manual 18 February 2008 From Eq E 1 2 5 one may reduce the number of indices of SSD further depending on the actual case study E g one might consider only the total annual landings by stock Stax y St Jy e o 0 p e e e e St y 9 9 e e 2 __ Landings Landings A Yield 7 Calc St ly y first Y e e e e St 1 2 6 In addition to yield landings and discards the TEMAS software offers three more options for calibration to observations The options for calibration data are 5 Catches Landings and discards on various dis aggregation levels From Fl Vs Rg Ct St y Va Ar to St y s s s 6 Index of stock numbers from research vessel survey or from catch per unit of effort of commercial vessels 7 Index of stock biomass or SSB from research vessel survey or from catch per unit of effort of commercial vessels 8 Mean stock F Fis
311. ssion The value 15 1s the maximum allowed number of vessel groups in the current implementation of TEMAS Table 1 1 BASIC DIMENSIONS Table 1 2 STOCKS Table 1 3 COUNTRIES Table 1 4 AREAS EW Age groups Number of Fleets of periods Mumber of Stocks of Countries KN of Areas oF Years FN Fist ears 121 22 Table 1 5 1 1 Denmark FLEETS 23 Vessel Age gr ENTRY OF NEW CASE SYSTEM DIMENSIONS 24 a NEW CASE DIMENSIONS P Table 1 5 2 1 Germany FLEETS Version EXCEL 2003 MS Visual Basis 6 3 TEMAS 27 File list Main Menu B Give name to new case study Done Age groups Table 1 5 3 1 Latvia FLEETS B Read basic dimensions B Done Table 1 5 4 1 Poland FLEETS Age groups Read names of stocks countries and areas B Done Read Heet names and age groups NotDe Table 1 5 5 1 Sweden FLEETS Read Feet dimensions Age groups Read names og sizes and regimes Table 1 5 6 1 Other FLEETS Go Back Cancel entry of new case study Age groups F 2 4 11 Starting new case study with TEMAS Step 4 In table 2 4 11 the names of fleets have been given for all countries In this case see Table 2 4 12 we use the same 3 fleet names for all countries Gill netters trawlers and other fleets but any country specific fleet definition would be accepted In
312. such for TEMAS You just copy the directorates and put them on the C drives as shown in figure 1 3 1 Note that the location is in the first level C TEMAS or CATEMAS DEMO in case you install the demonstration version of TEMAS In the following we shall use the demonstration version of TEMAS to explain the software The location of directories must be as shown in Figure 1 3 1 as TEMAS otherwise will not function The important thing is the location of the data files as the TEMAS programs TEMAS CALC and TEMAS INPUT must know where data files are located Note that the date 27 07 has been added to the names of the TEMAS excel files Actually you may change the names of the TEMAS EXCEL files as you like But you should not change the names of the standard directories of TEMAS and these are See Figure 1 3 1 8 EM TEMAS Manual 18 February 2008 C TEMAS C TEMAS DATA C TEMAS DATA Help C TEMAS DATA Help HELP_ CALC C TEMAS DATA Help HELP_ INPUT There are two non standard directories shown in Figure 1 3 1 namely Copy of Data and EXTRAS You are free to add any new subdirectories to the standard directories of TEMAS It is recommended always to have a backup copy of both data and EXCEL files Actually it is rather easy to change the name and location of the main directory C TEMAS by changing one single line in the declaration modules of the VIRTUAL BASIC but the other standard directories cannot be cha
313. t Baltic gt 110mm East Baltic lt 110mm East Baltic 110mm Baltic lt Baltic gt 110mm Bornholm H mm Bornholm gt 110 Gotland lt 110mm Gotland 110mm West Baltic lt 110mm West Baltic gt Timm East Baltic lt 110mm East Baltic gt 110mm Baltic 110mm Baltic gt 110mm Bornholm H mm Bornholm gt H mm Gotland lt Gotland gt Figure 2 10 4 Constant revenue from Other stocks Explanation below table says Revenue from other stocks is a lump sum accounting for the revenue generated by landings of species which are not modelled explicitly in TEMAS Note this is a Year period Fl Vs Rg Ct Ar specific constant Figure 2 10 4 EXCEL Table 7 2 2 2 3 1 shows the Revenue from other stocks The revenue from other stocks is a lump sum accounting for the revenue generated by landings of species which are not modelled explicitly in TEMAS The revenue from other stocks is a Year period Fleet Vessel size Rigging Country Area specific constant Figure 2 10 5 shows the userform for pre processing of economic data The options are 1 Make all parameters equal for all years This potion will take the values for first year and apply it to all years 2 Multiply all costs with a common multiplier This option will present a form where the common factor can be entered And then all
314. t Ct FL Vs Ar Rig Mult Ct Vs Ar Rig Ref Effort Ct Fl Vs Ar Rig PREPROCESSING OF EFFORT INPUT Figure 2 7 9 Options for pre processing of effort parameters 2000 Fer 87 3375 113 0625 137 0454 154 4546 186 6429 215 3572 236 4706 266 0294 285 425 316 575 3810625 45 99375 BO 38636 1 26365 20 27257 33 32143 102 4706 115 2734 124 1175 137 1825 9 79375 2000 Fer z 97 9375 113 0625 137 0454 154 4545 186 6429 215 3572 236 4706 266 0294 296 425 316 575 28 10625 42 99375 53 3853b T126365 80 87857 33 32143 102 4706 115 2794 124 1175 137 1825 9 3375 2000 Fer 3 27 3375 113 0625 137 0454 154 4545 126 6429 215 3572 236 4706 266 0294 286 425 316 575 32 10625 42 99375 59 38536 71 26365 20 87857 93 32143 102 4706 115 2734 124 1175 137 1825 9 3375 2000 Fer 4 87 3375 113 0625 137 0454 164 4546 186 6429 215 3572 236 4706 266 0294 286 425 316 575 38 105625 48 39375 59 38636 71 26365 80 87857 33 32143 102 4706 115 2794 124 1175 1371825 2799375 2001 Fer 1 97 9375 113 0625 137 0454 154 4545 186 6429 215 3572 236 4706 266 0294 256 425 315 575 38 105625 43 333175 53 3853b 71 26365 20 87857 93 32143 102 4706 115 2794 124 1175 137 1825 9 3375 2001 Fer z 27 39375 113 0625 137 0454 164 4546 136 6429 215 3572 236 4706 266 0294 256 425 316 575 38 10525 48 39375 53 38 3 71 26365 20 87857 33 32143 102 47
315. t is already being used be another application That will cause the error message shown in Figure 2 1 4 1 TEMAS will break down Enel e C ANALYTICAL MODEL Microsoft Visual Basic RUE Run time error 20 Permission denied AN E 1 s dt 1 4 nsh ARE 55 Continue End Help me 11 81 006 0 4374 1 4600 40962 306120 37946 4325509 4306 5 Figure 4 7 1 Example of error message from EXCEL am Microsoft Visual Basic BEAM CALC 17Jan01 xls break M03 MAIN CALC Code 148 File Edit View Insert Format Debug Run Tools Add Ins Window Help gd Ba k II m BP E TS D 7 ings coli Project VBAProjE3 General MAIN SINGLE DYNAMIC SIMULATION Dim year Integer H atpybaen 1 80 funcres I Open DirNm amp RULES MESSAGES TXT For Output s 34 Fy Micrasc CBE Sht Call INITIALIZE DYNAMIC SIMULATION MAIN Multiple Stochastic 8 BBY She She THe central year loop Hr DEAN S x She For year 1 To Number of Years B8 She Call SIMULATE BASIC STOCK DYNAMICS FOR ONE YEAR year E She Call MAKE FLEET ECONOMICS AND TOTAL SUMMED OVER STOCKS ve Figure 4 7 2 Example of EXCEL debugger 180 TEMAS Manual 18 February 2008 At this stage you may close TEMAS CALC and restart it That will be the standard way of handli
316. t per value unit depending on the value of landings Crew share income Figure 2 10 3 a CF Vs Ct y q Relative crew share Fraction of divisible earnings Crew Financial Fixed costs Figure 2 10 3 a Ct q Period Licence fee per vessel COR Fl Vs Ct y q Period Insurance per vessels Fl Vs Ct y q Other fixed costs per vessel per period Financial investment cost in harvesting capacity Figure 2 10 3 a A C Economic operating cost west Baltic C Economic operating cost East Baltic Economic operating east Baltic C Economic operating cost Bornholm C Economic operating cost Gotland C Crew opportunity costs west Baltic C Crew opportunity costs East Baltic C Crew opportunity costs Mot Baltic C Crew opportunity costs Bornholm C Crew opportunity costs Gotland Economic handling cost west Baltic C Economic handling cost East Baltic C Economic handling cost Mot Baltic C Economic handling cost Bornholm C Economic handling cost Gotland Economic sale cost west Baltic C Economic sale cast East Baltic C Economic sale cost Baltic Economic sale cost Bornholm C Economie sale cost Gotland C Investment per new wessel Costs and investments of the 3 economic models There are 3 economic an M 4 k 506 PRICES 5507 ECONOMY S08 TRIP Figure 2 10 3 b Continued from Figure 2 10 3 a Variable costs and fi
317. tan Large Reject Diecornm 1 Attrib 1 Decommission Fee Baltistan Trawler Baltistan Large Baltistan Trawler Baltistan Large Dis inwestment OE Trawler Baltistan Large Dis inwest Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 2 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 1 Charact Rule 1 Charact 1 Hist Cashflow 1 Hist Cashflow 22 Capacity Baltistan Baltiztan lt e Mas Capacity Baltistan 1 Hist Cashflow 1 Hist Cashflow Baltiztan Baltiztan 2 2 Mas Capacity Baltistan lt e Mas Capacity 1 Hist Cashflow 1 Hist Cashflow Baltistan Baltistan Baltistan OB Trawler Baltistan Large OB Trawler Baltistan Large Ois inwest OE Trawler Baltistan Large Investment OE Trawler Baltistan Large Invest Trawler Baltistan Large Investment OB Trawler Baltistan Large Mo Invest Gillnett Baltistan Small Accept Qecamm Gillnett Baltistan Small Reject Decomm Rule 1 Attrib 1 Decommission Fee Baltistan Gillnett Baltistan Small Rule 2 Charact 1 Hist Cashflow Rule 2 Charact 1 Hist Cashflow Rule 2 Charact 2 flax Capacity Rule 2 Charact 2 Capacity Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 3 Charact Rule 1 Charact Rule 1 Charact lt
318. tan MESH SIZE generalized concept Species Fleet V Size Rig EN z000 Ferdi 2000 Ferz 2000 Per 3 2000 Fert 2001Per1 2001Per2 2001Fer3 2001 eb 106 Trawler Baltistan Small lt OE Trawler Baltistan Small gt 110mm MEN DE Trawler Baltistan Medium lt Trawler Baltistan Medium gt 110mm KUN Trawler Baltistan Large lt Trawler Baltistan Large gt Tl rmm 112 Gillmett Baltistan Small lt 113 Gillmett Baltistan Small 110mm 14 Gillmett Baltistan Medium lt 115 Gillnett Baltistan Medium gt 110mm E Gillnett Baltistan Large H mm Wr Gillmett Baltistan Large gt Mesh sizes in a user defined unit of the gear riggings by Fleet and country Gear selection iz modelled by the logistic curve with L50221 Gear selection Factor na Table 3 2 2 Baltistan GEAR SELECTION FACTOR L50 MeshSize Species Fleet V Size Rig 2000 Ferdi 2 000Perz 2000 Per 3 2000 4 2001 2001Per 2 2001Per 3 2001 4 20 123 West Cod Trawler Baltistan lt 110mm 124 West Cod OB Trawler Baltistan gt 110mm 125 west Cod Gillnett Baltistan Timm 126 West Cod Gillnett Baltistan gt 110mm 127 East cod OB Trawler Baltistan lt 128 East cod OB Trawler Baltistan gt 123 East cod Gillnett Baltistan
319. tan Medium 362 OB Trawler Baltistan Large 363 Gillnett Baltistan Small 354 Gillnett Baltistan Gillnett Baltistan Large 366 Table 5 5 8 uo Tq S Trawler Baltistan Small E j Table 5 5 9 Trawler Baltistan Gillnett Baltistan T 78 a j Poo 62 oo oo J x mo 22 r2 Table 5 5 10 L c 2 384 Trawler Baltistan Small 385 Trawler Baltistan Medium Trawler Baltistan Large 3er Gillmett Baltistan Small 388 Gillnett Baltistan Medium 389 Gillnett Baltistan Large 330 TEMAS Manual 18 February 2008 Baltistan FLEET CHARACTERISTICS Tonnage 2000 1 2000 Per 2 2000 Fer 3 2000 Per 4 2001 2001 2 2001Fer3 2001Per4 2002 Per Fleet characteristics Tonnage Baltistan START NUMBER OF VESSELS FLEET CHARACTERISTICS Tonnage 2000 Per 1 Ir 2000 Ferg 2000Per 3 2000 4 2001 Fer 2001 Ferg 2001Per3 2z lPer 4 B00 BOO 600 Bun B00 B00 B00 700 EKD ESD ESD B50 B50 B50 0 0 0 0 fell re fe red rel fell fell 380 380 380 880 380 380 0 0 0 0 Fleet characteristics Tonnage 2002 Per Baltistan MAXIMUM TOTAL ALLOWED FLEET CHARACTERISTICS BY COUNTRY Tonnage 2000 1 2000 2 2000 2 2000Per4 20001Per 2001 2 2001 2 2001Per4 2002 Per Plas
320. tan OB Trawler Baltistan Large COSTS 155 Table7 2 1 2 1 Baltistan Gillnett Baltistan Small COSTS 156 Table7 2 1 2 2 Baltistan Gillnett Baltistan Medium COSTS 157 Table7 2 1 2 3 Baltistan Gillnett Baltistan Large COSTS 158 Table7 2 2 1 1 Scandinavia OB Trawler Scandinavia Small COSTS 159 Table7 2 2 1 2 Scandinavia OB Trawler Scandinavia Medium COSTS 160 Table7 2 2 1 3 Scandinavia OB Trawler Scandinavia Large COSTS 161 Table7 2 2 2 1 Scandinavia Gillnett Scandinavia Small COSTS 162 Table7 2 2 2 2 Scandinavia Gillnett Scandinavia Medium COSTS 163 Table7 2 2 2 3 Scandinavia Gillnett Scandinavia Large COSTS 164 Table7 2 2 2 3 1 Revenue from other species Table 2 10 1 Tables in the economy input sheet SO7_ECONOMY 81 113 TEMAS Manual 18 February 2008 The Visual Basic code of the TEMAS program for the economy has been constructed so that it is flexible That means that the economic model can be modified extended or reduced should a special application required it The tables shown as examples below are slightly simpler than the theory explaned in Annex C of the TEMAS report For example it is a relatively simple thing for the programmer to change the number of economic models Whenever a feature from Annex C is not in the current version of TEMAS this is explained All three models operate with the same concepts of costs earnings and investments but possibly with different parameters
321. that it produces the right The overall Fpa is subsequently distributed on countries fleets riggings and areas and the combined landings will automatically sum up to the desired TAC If the effort corresponding to FpA exceeds the capacity of the fleets E FI Vs e Ct y g NU FL Vs Ct y q EY Fl Vs Ct then fishing mortality 1s reduced below Fpa with the reduction factor E Fl Vs e Ct y q e NU vessel FL Vs q EY vax FI Vs Ct y q That is no F can be bigger than the maximum capacity allows for TEMAS contains an option to distribute effort according to the relative stability that is the distribution of effort is in the same proportions as the historical rights see Section D 6 121 TEMAS Manual 18 February 2008 One feature of the adaptive approach as implemented by the EU 1s that the change of from year to year TAC St y TAC St y 1 is not allowed to exceed a certain percentage of TAC St y 1 if the TAC increases TAC St y and if TAC decreases TAC St y TAC St 1 TAC St y TAC St y 1 IA TACO St y if TAC St y 1 2 TAC St y TAC St y TAC St y 1 TAC St y 1 lA TACE 81 if TAC St y 1 lt TAC St y This lead to the definition of a TAC concept we call TAC of the adaptive approach Eq D 7 1 2 TAC a naps St y Mini 51 TAC St y I TACE St
322. ther species 42 43 Table 2 2 3 RECRUITMENT DISTRIBUTION ON AREAS 44 Baltic west Balic East Bornholm Gotland Mot Baltic 45 Western Cod 4 Eastern Cod Sprat 48 Plaice Other species Table 2 2 4 LOW SPAWNING SUCCESS OM AREAS 52 Baltic West Balic East Bornholm Gotland Mot Baltic 53 54 M 4 MN Old Dim 501 DIM 502 STOCK SD2_STOCK_C 503 FLEET SC lt 1 Figure 2 4 18 Table templates for new case study Depending on the dimensions TEMAS can produce a number of output tables A complete list of all tables can be achieved through the main menu Figure 1 3 4 by option Write list of all tables The list is long and a part of it is shown in Figure 2 4 19 In the present case there is total of 534 Input tables When it comes to simulation results output from TEMAS CALC the list is a lot longer The total output is so large that it becomes more or less inaccessible In most practical applications only a subset of the potential output tables will be used TEMAS offers options to exclude certain combinations of output tables Table 2 4 20 shows some of the tables to select output options Worksheet Table 1 6 1 in Table 2 4 20 for example specifies that tables shall be made for Western cod Eastern cod sprat and plaice but no tables shall be printed for other species Worksheet Table 1 6 2 exclude Not Baltic area from printing 31 25 536 537 538 539 540 541 542 543 544 TEM
323. ts for Eastern cod W West E East N Not Baltic B Bornholm G Gotland 0 01 A0 Q3 A0 Q4 1 01 1 02 1 03 1 04 gt gt gt Q ID 44 EE TEMAS Manual 18 February 2008 Within each period the columns are organised in groups according to where the migration starts that from which area the migration starts Figure 2 5 7 b In the present case there are five areas From each of these five areas the migration can go to 5 areas as staying in the area 15 also an option for migration 1 e no migration As appears it Is not possible to make a readable version of the EXCEL table and therefore Table2 5 3 was made Table 2 5 7 c shows a part of the EXCEL table with all details visible Table 2 5 2 1s reorganized to match the A4 format so that period groups are placed on top of each other There are no movements in the two areas West and Not Baltic in the hypothetical example of Table 2 5 3 This 1s because From West to West Is 1 and other cells 0 And from Not Baltic to Not Baltic is 1 and other cells 0 Thus is this example the movements are only between East Bornholm and Gotland To explain the nature of migration coefficients the text below translate to migration matrix in Table 2 5 3 into words Movements in Quarter 1 Ages 0 1 Movements from East to Bornholm but only age gr 1 No movements out of Bornholm or Gotland Ages 2 4 Movements from East to Bornholm and Gotland N
324. tt Baltiztan Gillnett Baltiztan Gillnett Baltistan Gillnett Baltistan Gillnett Baltiztan Gillnett Baltistan Gillnett Baltistan Gillnett Baltiztan Gillnett Baltistan Gillnett Baltiztan Gillnett Baltistan Small Small Small Small Small Small Small Small Small Small west Baltic lt 110mm M 4 k b S07 ECONOMY S08 TRIP RU 4 509 STRUC RU f 510 TUNINC Small Small Small Small Small Small Small Small Small Small Medium Medium Medium Medium Medium Medium Medium Medium Medium Medium Large Large Large Large Large Large Large Large Large Large Table 7 2 2 2 3 1 REVENUE FROM OTHER STOCKS 2000 2000 21000 2000 2001 1 Pers 1 2002 2 Fer 4 2002 2 2002 Fer 3 2001 4 2002 Perl 7001 Fer z 2001 Fer 3 West Baltic Ti rmm West Baltic gt East Baltic lt 10mm East Baltic gt Baltic 110mm Mot Baltic gt 10mm Bornholm Timm Bornholm gt Timm Gotland 110mm Gotland gt West Baltic lt 110mm West Baltic gt 110mm East Baltic lt 10mm East Baltic Baltic Baltic Bornhalm gt H mm lt 10mm 10mm timm Bornholm gt 170mm Gotland lt Gotland gt West Baltic lt 110mm Wes
325. u should not do You can do anything you like with the output workbooks except for deleting the sheets or renaming them There are five general warnings on thing you should not when running the package WARNING 1 Do NOT delete any of the standard spreadsheets of the workbook as that action will cause the program to crash WARNING 2 Do NOT insert or delete rows or columns between the input cells cells indicated by colours predominantly yellow colour The yellow cell occur only in the data entry workbook WARNING 3 Do NOT change the names of the standard worksheets If you do the package will not function WARNING 4 Do NOT change the location of the standard directories WARNING 5 Do NOT delete files or folders in the directory C XTEMAS Data by aid of Windows explorer where TEMAS is a generic name of the main directory of the system as chosen by the user The data files can be deleted from main input menu and when you want to delete data files do it with the button Delete File s in the menu of the main menu RECOMMENDATION 1 Do always keep a Backup file of your original data set To be on the safe side you may from time to time make a copy of the entire data subdirectory Make also a backup of the entire system so that in case everything goes wrong you can start up with a fresh version of system and your input data Making these backups takes very short time seconds whereas you may loose days of work if you loose you
326. umber of boats 12 13 i Note When entering names of rules choices do not write the name of country fleet Write only the name of rule choice 15 Table 9 STRUCTURAL BEHAVIOUR RULES 16 Baltistan Trawler Ealtistan Trawler Ealtistan Gillnett Baltistan Accept Gillnett Baltistan 17 Baltistan Structural related Rule Ma 1 Decommission rule Accept Desomm Reject Decomm Decomm Reject Decomm Le Trawler Baltistan Trawler Baltistan Gillnett Baltistan Dis Gillnett Baltistan D Trawler Baltistan Trawler Baltistan Gillnett Baltistan Gillnett Baltistan pon Trawler Scandinavia Trawler Scandinavia Gillnett Scandinavia Gillnett Scandinavia i Trawler Scandinavia OB Trawler Scandinavia Gillnett Scandinavia Dis Gillnett Scandinavia i as OB Trawler Scandinavia OB Trawler Scandinavia Gillnett Scandinavia Gillnett Scandinavia 77 M 4 507 ECONOMY SDS TRIP RU 509 STRUD RU Z 510 TUNINC lt gt Figure 2 12 2 Names of structural behaviour rules choices Figure 2 12 1 shows the userform of sheet 509 STRUC RU and Table 2 12 2 lists the three tables of the sheet The structure is exactly the same as for sheet 508 TRIP RU Figure 2 12 2 shows the names of rules EXCEL Table 9 and is exactly the same format as that for the trip related RUM Figure 2 11 2 Figure 2 12 3 shows the parameters of the RUM for structural beh
327. ummed over riggings after distribution on areas E FI Vs e Ct y g Ar E Fl Vs o Ct y q o E FL Vs e Ct y q Ar rea dist are shown in EXCEL table 4 3 Figure 2 7 4 58 EM TEMAS Manual 18 February 2008 Trawler Baltistan z _ Scandinavia Figure 2 7 3 b Effort distribution on areas with focus on the table structure T version shows the entire table the cells of which are hardly readable The last column hardly readable contains the area names West East Not Baltic Bornhol and Gotland for each vessel size Table 4 2 DISTRIBUTION ON AREAS for all Country Fleet V Size n n n NE EK 7 7 17 HE HH HH 13 13 allinlan OB Trauler Ballinlan Small cal balli allinlan OB Traulrr RPallinlan 5mall Baal OB Trauler Ballinlan Small Hal B llin allinlan OB Trauler Ballinlan Small inlan R Trauler Ballinlan Small Galland imlan OB Trauler Ballinlan Aled ral Ballin allinlan OB Trauler Ballinlan Adie Boel balli Mot Enrnhnlm Gotland islan R Traulrr Pallinlan diam Hal balli lin Galland allialan GB Traulrr Ballinlan Hr Hr inlan OB inan R Tranlrr RPallinlan Large Weal Fallin Lar Lar allinlan 26 Trouler Ballislon allis talon R Traulrr Pallialan Hal Ballia allinlan G
328. ution of the output Pr Y lt Output lt Y where Y i 4000 3000 2000 and Y are limits defining some intervals of Output Figure 2 18 1 probability distribution depends on the stochastic term g which may have an assumed distribution or a distribution estimated from time series OUTPUT of observation of Input Output 1000 Figure 2 18 1 Output from stochastic simulation When using a stochastic model for prediction the standard procedure is to let a computer program repeat the same prediction or simulations many times say 1000 times or 10000 times In each simulation the computer program draws the values of parameters from a random number generator Eventually the probability distribution is estimated by the frequency distribution of output see Figure 2 18 1 That means that a stochastic model requires the parameters of the probability distribution of parameter estimates as input For a general introduction see for example Manly 1998 TEMAS uses a stochastic factor The value of the stochastic factor is in TEMAS drawn from a random number generator which assumes either a Anormally distributed stochastic variable with mean value 1 0 b Alog normally distributed stochastic variable with mean value 1 0 In addition to the man value these distributions need the variance as parameter which in TEMAS is derived from the relative standard deviation Standard deviation mean value which in this case i
329. utions They equal the capacity which is defined as Capacity Number of Vessels Maximum number of days per period The EXCEL Tables of worksheet 504 EFFORT are listed Table 2 7 1 Only three out of seven EXCEL tables are yellow input tables The remaining four white tables are so called resulting tables that is tables derived from input tables as information and check options for the user 55 EM TEMAS Manual 18 February 2008 IL a RN Index Table Caption 65 Table4 1 REFERENCE EFFORT MAXIMUM POSSIBLE EFFORT Not input 66 Table amp 2 EFFORT DISTRIBUTION ON AREAS oo 68 Table4 4 EFFORT DISTRIBUTION ON RIGS AFTER DISTRIBUTION ON AREAS 69 Table45 RESULTING EFFORT AFTER DISTRIBUTION ON RIGS AND AREAS Not input Table4 6 EFFORT MULTIPLIERS Table4 7 RESULTING EFFORT DISTRIBUTION ON RIGS AFTER DISTRIBUTION ON AREAS Table 2 7 1 Tables in the effort input sheet S04 EFFORT Effort can be controlled in TEMAS two ways 1 Giving effort as input 2 Let the Effort rule decide the effort see Section 5 Worksheet S04 EFFORT deals with only the first way of entering effort in the TEMAS model This feature of effort input in the context of TEMAS Is why the data are said to be optional In case you chose the option to let the effort be determined by the effort rules the short term and long term behaviour models also called trip behaviour and structural behaviour
330. utput workbooks except for deleting the sheets or renaming them There are five general warnings on thing you should not when running the package WARNING 1 Do NOT delete any of the standard spreadsheets of the workbook as that action will cause the program to crash WARNING 2 Do NOT insert or delete rows or columns between the input cells cells indicated by colours predominantly yellow colour The yellow cell occur only in the data entry workbook WARNING 3 Do NOT change the names of the standard worksheets If you do the package will not function WARNING 4 Do NOT change the location of the standard directories WARNING 5 Do NOT delete files or folders in the directory CATEMAS Data by aid of Windows explorer where TEMAS is a generic name of the main directory of the system as chosen by the user The data files can be deleted from main input menu and when you want to delete data files do it with the button Delete File s in the menu of the main menu RECOMMENDATION 1 Do always keep a Backup file of your original data set To be on the safe side you may from time to time make a copy of the entire data subdirectory Make also a backup of the entire system so that in case everything goes wrong you can start up with a fresh version of system and your input data Making these backups takes very short time seconds whereas you may loose days of work if you loose your original data RECOMMENDATION 2 Use the C
331. ve version 1s presented in Ulrich et al 2007 while the present manual represents the latest version The TEMAS software is implemented in EXCEL with extensive use of macros written in Visual Basic In the context of the EU FP6 EFIMAS and PROTECT projects it should be noted that closed seasons and MPAs in the terminology of TEMAS 15 technical management measures Therefore this latest version of TEMAS reported here contains components to evaluate closed seasons and MPAs The case study of this application is the Baltic fisheries with focus on the cod fisheries and the areas and seasons closed to protect the cod spawners The overall contents of TEMAS are illustrated by the data flowchart Figure 1 1 1 The system compares two management regimes and B by simulating the fisheries system over a series of years for both regimes and eventually it compares the performance of the two regimes during the time period Thus the figure illustrates a dynamic system where the arrows indicate the processes of one single time period month quarter or year The operating system Figure 1 1 1 is a model simulation of the eco system and the fisheries system The boxes Management regime A and Management regime B indicates two models which can simulate the management processes which may include simulation of ICES WG setting of TACs etc The operating system generates fake or hypothetical input data to the management models and it predict
332. xed costs of three economic models The explanation below the EXCEL table says Costs and investments of the 3 economic models There are 3 economic analyses A FINANCIAL ANALYSIS OF FLEETS The financial input parameters to analyse the finacial performance of fishing fleets i e from the point of view of vessel owners B GOVERNMENT BUDGET ANALYSIS The financial input parameters to analyse the impact of the fleets on the government budget C ECONOMIC ANALYSIS The economic input arameters to analyse the economic performance of fishing fleet s and the entire fishery i e from the point of view of the economy as a whole INVR F Vs Ct y q Cost of one new vessel Vessel decommission payment Figure 2 10 3 a and c DECVR FI Vs Ct 4 Decommission fee of one vessel of age Va In Figure 2 10 3 a only one vessel age is considered See example in Figure 2 10 3 c with 13 vessel age groups Economic model B Government treasury The cost rates are the same in model A B and C and therefore they do not appear under model B The taxes are also the same Taxes however are given under model B in EXCEL table 7 2 1 1 Tax on Operating Costs Figure 2 10 3 a TAXR Tax on gross revenue Figure 2 10 3 a FL Vs y q Tax rate of operation costs tax per value unit Operation TAXR yz Fl Vs Ct y rate of revenue tax per value unit Subsidy on Operating Costs and prices 84 144 TEMAS Ma
333. y Fleet First and Last year are the Financial input p 5 Table 1 3 1 2 1 Summary Output nni 1 FINANCIAL ANALYSIS OF FLEETS by Country All years These are the financial input p Table 1 3 2 1 1 Summary Output 32 1 GOVERNMENT BUDGET A amp TAL S SIS by Heer First and Last year are the Financial input p Y Table 1 3 2 2 1 Summary Output 107 1 GOVERNMENT BUDGET SIS by Country All years These are the financial input p amp Table 1 3 3 1 1 Summary Output 121 1 ECONOMIC AMALYSIS by fleet First and Last year These the economic input 3 Table 1 3 3 2 1 Summary Output 136 1 ECONOMIC ANALYSIS by Country All years These are the economic input Table 1 3 4 1 1 Summary Output 151 1 amp DIDITIONAL INFORMATION by fleet First and Last year Additional information by cau 11 Table 1 3 4 2 1 Summary Output 176 1 400ITIONAL INFORMATION by country All years Additional information by cau 12 Table 1 4 1 1 Summary Output 205 1 FINANCIAL AMALYSIS OF FLEETS ALL FLEETS COUNTRIES AMDO These are the financial input p 15 Table 1 4 2 1 Summary Output 220 1 GOVERNMENT BUDGET ANALYSIS ALL FLEETS COUNTRIES AMI These are the Financial input 14 Table 1 4 3 1 Summary Output 234 1 ECONOMIC ANALYSIS ALL FLEETS COUNTRIES VESSEL 51 These are the economic input 15 Table 1 4 4 1 Summary Output 247 1 INFORMATION ALL FLEETS COUNTRIES YESS Additional information
334. y area summed over periods Fl_Out_Per_Ar Fleet output by time period and area Table List List of all tables produced by TEMAS CALC 1 14 15 16 144 TEMAS Manual 18 February 2008 i a p e Pp ERES jis C CARES DERE NT ERES J BE 5 Summary econamicilandings Output Summary Output Zrisatific advice f Hu scientific advice Regime 1 Advice Regime 2 Hm Advice 2 Bre Evaluation Frome For Firkerias wage syste Get 2 Get Z Z Steckir 5 Area s Table 1 1 1 Table 1 1 1 Regime 1 Summary of summary by fleet Pair Regime 2 No Summary of summary by fleet Pair ACFM Advice Deterministic First and Last year ACFM Advice Deterministic First and Last year Ealktirtan Ealtirtan Baltirtan Baltirtan Scandinavi Scandinavi Esandirvavi Ezandinavia Ealtirtan Ealtirkan E ltirtan Ealkirkan Scandinay Scandinayvi Scandinayvi DE E Gillnekk a a QE a 7 ill keo QE Trauler QE Trauler Gillnetk Gillnete ia OE ia OE a Dillnekt a Gillnekk Trauler Ealkirtan Ealkirtan Trauler Trauler Ezandinavi Scandinavia Ealtirkan Ealtirkan Ealtirtan Ealkirtan Trawler Trawler Scandinavi Scandinavi Ealtirkan Balkirtan 2000 z na Ezandinasi a 2000 e004 z na 000 Scandinay Scandinau a 2000 a 2009
335. y the behaviour rules structural and trip behaviour rules 131 TEMAS Manual 18 February 2008 The behaviour model contains eight Effort Capacity rules for the 1 Fishing effort rule 2 Dis Investment rule 3 Investment rule 4 Attrition rule 5 Dis investment rule STOP 1 FISHING EFFORT RULE If during A time periods e g one month Gross revenue lt F operating cost F landing cost crew share income crew effort income Then a percentage X of the fleet will stop fishing for Y time periods 2 DIS INVESTMENT RULE If for a continuous period of T years Financial net cash flow excluding vessel decommission lt 0 Then a percentage Z of the fleet round to integer will withdraw from the fishery T and Z are input variables Withdrawal is either with or without decommission compensation STOP 3 INVESTMENT RULE If for a continuous period of G years Financial net cash flow gt W Then a percentage Q round to integer of the fleet will be added 4 ATTRITION RULE Every year a percentage B round to integer of the fleet retires due to having reached the end of the technical life time of the vessels 132 TEMAS Manual 18 February 2008 3 3 SELECT OUTPUT FOR SINGLE SIMULATION SELECT OUTPUT FORMAT EJ I Mules E gives gro arves Gear selection discard ofc Feriod Area Fleet Output Area Fleet Output Summed over periods Select Fleet s z All

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