#V3.30.13.00-trans-beta;_2018_12_26;_Stock_Synthesis_by_Richard_Methot_(NOAA)_using_ADMB_12.0 #Stock Synthesis (SS) is a work of the U.S. Government and is not subject to copyright protection in the United States. #Foreign copyrights may apply. See copyright.txt for more information. #_user_support_available_at:NMFS.Stock.Synthesis@noaa.gov #_user_info_available_at:https://vlab.ncep.noaa.gov/group/stock-synthesis #C fishing mortality uses the hybrid method #_data_and_control_files: data.ss // control.ss 0 # 0 means do not read wtatage.ss; 1 means read and use wtatage.ss and also read and use growth parameters 1 #_N_Growth_Patterns 1 #_N_platoons_Within_GrowthPattern #_Cond 1 #_Morph_between/within_stdev_ratio (no read if N_morphs=1) #_Cond 1 #vector_Morphdist_(-1_in_first_val_gives_normal_approx) # 3 # recr_dist_method for parameters: 2=main effects for GP, Settle timing, Area; 3=each Settle entity; 4=none, only when N_GP*Nsettle*pop==1 1 # not yet implemented; Future usage: Spawner-Recruitment: 1=global; 2=by area 2 # number of recruitment settlement assignments 0 # unused option #GPattern month area age (for each settlement assignment) 1 1 1 0 1 1 4 0 # 6 #_N_movement_definitions 2 # first age that moves (real age at begin of season, not integer) # seas,GP,source_area,dest_area,minage,maxage # 1 1 1 1 8 9 1 1 1 2 8 9 1 1 1 4 8 9 1 1 2 1 8 9 # 1 1 2 2 8 9 # 1 1 3 3 8 9 1 1 3 4 8 9 1 1 4 1 8 9 1 1 4 3 8 9 # 1 1 4 4 8 9 # 4 #_Nblock_Patterns 2 1 1 2 #_blocks_per_pattern # begin and end years of blocks 213 260 261 999 225 244 12 12 121 247 248 999 # # controls for all timevary parameters 1 #_env/block/dev_adjust_method for all time-vary parms (1=warn relative to base parm bounds; 3=no bound check) # # AUTOGEN 1 1 1 1 1 # autogen: 1st element for biology, 2nd for SR, 3rd for Q, 4th reserved, 5th for selex # where: 0 = autogen all time-varying parms; 1 = read each time-varying parm line; 2 = read then autogen if parm min==-12345 # #_Available timevary codes #_Block types: 0: Pblock=Pbase*exp(TVP); 1: Pblock=Pbase+TVP; 2: Pblock=TVP; 3: Pblock=Pblock(-1) + TVP #_Block_trends: -1: trend bounded by base parm min-max and parms in transformed units (beware); -2: endtrend and infl_year direct values; -3: end and infl as fraction of base range #_EnvLinks: 1: P(y)=Pbase*exp(TVP*env(y)); 2: P(y)=Pbase+TVP*env(y); 3: null; 4: P(y)=2.0/(1.0+exp(-TVP1*env(y) - TVP2)) #_DevLinks: 1: P(y)*=exp(dev(y)*dev_se; 2: P(y)+=env(y)*dev_se; 3: random walk; 4: zero-reverting random walk with rho; 21-24 keep last dev for rest of years # # # # setup for M, growth, maturity, fecundity, recruitment distibution, movement # 3 #_natM_type:_0=1Parm; 1=N_breakpoints;_2=Lorenzen;_3=agespecific;_4=agespec_withseasinterpolate #_Age_natmort_by sex x growthpattern 1.3432 1.3432 1.182 1.0208 0.8596 0.6984 0.5372 0.5372 0.5372 0.5372 0.5372 0.564 0.6424 0.712 0.766 0.7976 0.8036 0.7848 0.746 0.6972 0.6492 0.6088 0.5796 0.5604 0.5492 0.5428 0.5396 0.5384 0.5376 # 3 # GrowthModel: 1=vonBert with L1&L2; 2=Richards with L1&L2; 3=age_specific_K_incr; 4=age_specific_K_decr; 5=age_specific_K_each; 6=NA; 7=NA; 8=growth cessation 1 #_Age(post-settlement)_for_L1;linear growth below this 28 #_Growth_Age_for_L2 (999 to use as Linf) -999 #_exponential decay for growth above maxage (value should approx initial Z; -999 replicates 3.24; -998 to not allow growth above maxage) 0 #_placeholder for future growth feature 12 # number of K multipliers to read 2 3 4 5 6 7 8 9 10 11 12 13 # ages for K multiplier # 0 #_SD_add_to_LAA (set to 0.1 for SS2 V1.x compatibility) 0 #_CV_Growth_Pattern: 0 CV=f(LAA); 1 CV=F(A); 2 SD=F(LAA); 3 SD=F(A); 4 logSD=F(A) # 3 #_maturity_option: 1=length logistic; 2=age logistic; 3=read age-maturity matrix by growth_pattern; 4=read age-fecundity; 5=disabled; 6=read length-maturity #_Age_Maturity by growth pattern 0 0 0 0 0 0.1 0.15 0.2 0.3 0.5 0.7 0.9 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 #_First_Mature_Age 1 #_fecundity option:(1)eggs=Wt*(a+b*Wt);(2)eggs=a*L^b;(3)eggs=a*Wt^b; (4)eggs=a+b*L; (5)eggs=a+b*W 0 #_hermaphroditism option: 0=none; 1=female-to-male age-specific fxn; -1=male-to-female age-specific fxn 1 #_parameter_offset_approach (1=none, 2= M, G, CV_G as offset from female-GP1, 3=like SS2 V1.x) # #_growth_parms #_ LO HI INIT PRIOR PR_SD PR_type PHASE env_var&link dev_link dev_minyr dev_maxyr dev_PH Block Block_Fxn # Sex: 1 BioPattern: 1 NatMort # Sex: 1 BioPattern: 1 Growth 1 45 22 22 10 6 -2 0 0 0 0 0.5 0 0 # L_at_Amin_Fem_GP_1 120 170 145 145 10 6 -4 0 0 0 0 0.5 0 0 # L_at_Amax_Fem_GP_1 0.05 0.5 0.455 0.455 0.8 6 -4 0 0 0 0 0.5 0 0 # VonBert_K_Fem_GP_1 -5 5 0.5 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_2 -15 5 0.75 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_3 -15 5 1 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_4 -15 5 1 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_5 -15 5 1 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_6 -15 5 1.8 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_7 -15 5 1.8 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_8 -15 5 1.2 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_9 -15 5 1.2 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_10 -15 5 1 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_11 -15 5 1 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_12 -15 5 1 1 1 0 -1 0 0 0 0 0 0 0 # Age_K_Fem_GP_1_a_13 0.05 0.25 0.1 0.1 0.1 6 -3 0 0 0 0 0.5 0 0 # CV_young_Fem_GP_1 0.05 0.25 0.1 0.1 0.1 6 -3 0 0 0 0 0.5 0 0 # CV_old_Fem_GP_1 # Sex: 1 BioPattern: 1 WtLen -3 3 2.459e-05 2.459e-05 0.8 6 -3 0 0 0 0 0.5 0 0 # Wtlen_1_Fem -3 4 2.9667 2.9667 0.8 6 -3 0 0 0 0 0.5 0 0 # Wtlen_2_Fem # Sex: 1 BioPattern: 1 Maturity&Fecundity -3 3 1 1 0.8 0 -3 0 0 0 0 0 0 0 # Mat50%_Fem -3 3 -0.25 -0.25 0.8 6 -3 0 0 0 0 0 0 0 # Mat_slope_Fem -3 3 1 1 0.8 6 -3 0 0 0 0 0.5 0 0 # Eggs/kg_inter_Fem -3 3 0 0 0.8 6 -3 0 0 0 0 0.5 0 0 # Eggs/kg_slope_wt_Fem # Hermaphroditism # Recruitment Distribution # -3 3 0 0 0.05 1 -4 0 0 0 0 0 0 0 # RecrDist_GP_1 # -5 5 0 0 0 0.25 -3 0 0 0 0 0 0 0 # RecrDist_Area_1 # -5 5 0 0 1 0.05 -3 0 0 0 0 0 0 0 # RecrDist_Area_2 # -5 5 0 0 1 0.5 -3 0 0 0 0 0 0 0 # RecrDist_Area_3 # -5 5 -0.319268 0.5 0 0.25 2 0 2 121 288 7 0 0 # RecrDist_Area_4 # -5 5 -0.389579 0.5 0 0.25 1 0 23 121 296 2 0 0 # RecrDist_Area_4 # 0 0 0 0 0 0 -4 0 0 0 0 0 0 0 # RecrDist_timing_1 -5 5 0 0 0 0.25 -3 0 0 0 0 0 0 0 # RecrDist_GP_1_area_1_month_1 #area 1 is the base, so parameter=0.0 -5 5 -0.319268 0.5 0 0.25 1 0 2 121 288 2 4 2 # RecrDist_GP_1_area_4_month_1 with time block # Cohort growth dev base 0.1 10 1 1 1 6 -1 0 0 0 0 0 0 0 # CohortGrowDev # Movement -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_1from_1to_2 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_1from_1to_2 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_1from_1to_4 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_1from_1to_4 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_1from_2to_1 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_1from_2to_1 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_1from_3to_4 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_1from_3to_4 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_1from_4to_1 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_1from_4to_1 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_A_seas_1_GP_1from_4to_3 -15 15 -10 0 4 6 3 0 0 0 0 0 0 0 # MoveParm_B_seas_1_GP_1from_4to_3 # Age Error from parameters # catch multiplier # fraction female, by GP 0.000001 0.999999 0.5 0.5 0.5 0 -99 0 0 0 0 0 0 0 # FracFemale_GP_1 # # timevary MG parameters #_ LO HI INIT PRIOR PR_SD PR_type PHASE # 0.5 2 1.5 1 0.5 6 -7 # RecrDist_Area_1_dev_se # -0.99 0.99 0 0 0.5 6 -6 # RecrDist_Area_1_dev_autocorr # 0.5 2 1.5 1 0.5 6 -7 # RecrDist_Area_4_dev_se # -0.99 0.99 0 0 0.5 6 -6 # RecrDist_Area_4_dev_autocorr -5 5 -0.0319268 0.5 0 0.25 3 # RecrDist_Area_4_BLK4repl_121 -5 5 -0.0319268 0.5 0 0.25 3 # RecrDist_Area_4_BLK4repl_248 0.5 2 1.5 1 0.5 6 -3 # RecrDist_Area_4_dev_se -0.99 0.99 0 0 0.5 6 -2 # RecrDist_Area_4_dev_autocorr # info on dev vectors created for MGparms are reported with other devs after tag parameter section # #_seasonal_effects_on_biology_parms 0 0 0 0 0 0 0 0 0 0 #_femwtlen1,femwtlen2,mat1,mat2,fec1,fec2,Malewtlen1,malewtlen2,L1,K #_ LO HI INIT PRIOR PR_SD PR_type PHASE #_Cond -2 2 0 0 -1 99 -2 #_placeholder when no seasonal MG parameters # 3 #_Spawner-Recruitment; Options: 2=Ricker; 3=std_B-H; 4=SCAA; 5=Hockey; 6=B-H_flattop; 7=survival_3Parm; 8=Shepherd_3Parm; 9=RickerPower_3parm 0 # 0/1 to use steepness in initial equ recruitment calculation 0 # future feature: 0/1 to make realized sigmaR a function of SR curvature #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name -2 25 10 10 5 6 1 0 0 0 0 0 0 0 # SR_LN(R0) 0.2 1 0.8 0.8 0.2 6 -1 0 0 0 0 0 0 0 # SR_BH_steep 0 2 0.6 0.6 0.8 6 -4 0 0 0 0 0 0 0 # SR_sigmaR -5 5 0 0 1 6 -4 0 0 0 0 0 0 0 # SR_regime 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SR_autocorr 1 #do_recdev: 0=none; 1=devvector (R=F(SSB)+dev); 2=deviations (R=F(SSB)+dev); 3=deviations (R=R0*dev; dev2=R-f(SSB)); 4=like 3 with sum(dev2) adding penalty 101 # first year of main recr_devs; early devs can preceed this era 288 # last year of main recr_devs; forecast devs start in following year 3 #_recdev phase 0 # (0/1) to read 13 advanced options #_Cond 0 #_recdev_early_start (0=none; neg value makes relative to recdev_start) #_Cond 0 #_recdev_early_phase #_Cond 0 #_forecast_recruitment phase (incl. late recr) (0 value resets to maxphase+1) #_Cond 1 #_lambda for Fcast_recr_like occurring before endyr+1 #_Cond -987 #_last_yr_nobias_adj_in_MPD; begin of ramp #_Cond -15 #_first_yr_fullbias_adj_in_MPD; begin of plateau #_Cond 280 #_last_yr_fullbias_adj_in_MPD #_Cond 285 #_end_yr_for_ramp_in_MPD (can be in forecast to shape ramp, but SS sets bias_adj to 0.0 for fcast yrs) #_Cond 1 #_max_bias_adj_in_MPD (-1 to override ramp and set biasadj=1.0 for all estimated recdevs) #_Cond 0 #_period of cycles in recruitment (N parms read below) #_Cond -5 #min rec_dev #_Cond 5 #max rec_dev #_Cond 0 #_read_recdevs #_end of advanced SR options # #_placeholder for full parameter lines for recruitment cycles # read specified recr devs #_Yr Input_value # # all recruitment deviations # 101R 102R 103R 104R 105R 106R 107R 108R 109R 110R 111R 112R 113R 114R 115R 116R 117R 118R 119R 120R 121R 122R 123R 124R 125R 126R 127R 128R 129R 130R 131R 132R 133R 134R 135R 136R 137R 138R 139R 140R 141R 142R 143R 144R 145R 146R 147R 148R 149R 150R 151R 152R 153R 154R 155R 156R 157R 158R 159R 160R 161R 162R 163R 164R 165R 166R 167R 168R 169R 170R 171R 172R 173R 174R 175R 176R 177R 178R 179R 180R 181R 182R 183R 184R 185R 186R 187R 188R 189R 190R 191R 192R 193R 194R 195R 196R 197R 198R 199R 200R 201R 202R 203R 204R 205R 206R 207R 208R 209R 210R 211R 212R 213R 214R 215R 216R 217R 218R 219R 220R 221R 222R 223R 224R 225R 226R 227R 228R 229R 230R 231R 232R 233R 234R 235R 236R 237R 238R 239R 240R 241R 242R 243R 244R 245R 246R 247R 248R 249R 250R 251R 252R 253R 254R 255R 256R 257R 258R 259R 260R 261R 262R 263R 264R 265R 266R 267R 268R 269R 270R 271R 272R 273R 274R 275R 276R 277R 278R 279R 280R 281F 282F 283F 284F 285F # 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # implementation error by year in forecast: 0 # #Fishing Mortality info 0.1 # F ballpark 220 # F ballpark year (neg value to disable) 3 # F_Method: 1=Pope; 2=instan. F; 3=hybrid (hybrid is recommended) 2.9 # max F or harvest rate, depends on F_Method # no additional F input needed for Fmethod 1 # if Fmethod=2; read overall start F value; overall phase; N detailed inputs to read # if Fmethod=3; read N iterations for tuning for Fmethod 3 4 # N iterations for tuning F in hybrid method (recommend 3 to 7) # #_initial_F_parms; count = 0 #_ LO HI INIT PRIOR PR_SD PR_type PHASE #285 305 # F rates by fleet # Yr: 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 # seas: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # FISHERY1 0.00517911 0.00519335 0.00520984 0.00522855 0.0051568 0.00517649 0.0051951 0.00521154 0.00582149 0.00583333 0.00584213 0.00584868 0.00702799 0.00703387 0.00703896 0.00704346 0.00718813 0.00719273 0.00720447 0.00722116 0.00740125 0.00746528 0.0075097 0.00754082 0.00672571 0.00677569 0.00680887 0.0068355 0.0125053 0.0124992 0.0124763 0.0124709 0.00790603 0.0079161 0.00790968 0.00790165 0.0084424 0.00846434 0.00847116 0.00846458 0.00893569 0.0089594 0.00895047 0.00893751 0.00844412 0.00843613 0.00842311 0.00843126 0.0113104 0.0113243 0.0113091 0.0113209 0.0152221 0.0152152 0.0151932 0.0152016 0.0196746 0.0198041 0.0200015 0.0202569 0.0214912 0.0215499 0.0218654 0.0216758 0.0277119 0.0278617 0.028523 0.0280305 0.028073 0.0281108 0.0290217 0.0281146 0.0285372 0.028977 0.0296989 0.0293032 0.0268979 0.0269082 0.0273048 0.0269088 0.0260624 0.0259846 0.0263903 0.0258933 0.0230938 0.0231166 0.0238992 0.0232517 0.0276256 0.0276587 0.028428 0.0277927 0.0243714 0.0185469 0.0217428 0.0323213 0.0428585 0.038937 0.0446262 0.0626016 0.0598314 0.0445239 0.0649945 0.0746518 0.072464 0.0509688 0.0748817 0.0852949 0.0625462 0.0503225 0.0821247 0.110215 0.043843 0.036509 0.0691536 0.09569 0.0445078 0.0476813 0.0712577 0.113826 0.0343628 0.0344861 0.0727288 0.101587 0.042138 0.0414983 0.0819486 0.112787 0.0509558 0.0597892 0.0916935 0.118817 0.0216168 0.0341589 0.0400113 0.054073 0.0390109 0.050979 0.0834251 0.127908 0.0512221 0.0731906 0.1196 0.13034 0.0974519 0.146274 0.194275 0.324769 0.320051 0.560757 1.39394 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY2 0.0031596 0.00316595 0.00317359 0.00318282 0.00315298 0.00316484 0.00317806 0.0031923 0.00322584 0.00323692 0.00324552 0.00325179 0.00325425 0.0032577 0.00326032 0.00326245 0.00327285 0.0032748 0.00328116 0.00329004 0.00377969 0.00381955 0.00384372 0.00385796 0.00338286 0.00341024 0.00342594 0.00343786 0.00297018 0.00296174 0.00294995 0.00294641 0.00296007 0.00296575 0.00296216 0.00295774 0.00343531 0.00344781 0.00345217 0.00345006 0.00296928 0.00298337 0.00298097 0.00297754 0.00300427 0.00300077 0.00299293 0.00299422 0.00296487 0.00296551 0.00295467 0.00295632 0.00296777 0.00296524 0.00295869 0.00296142 0.00300299 0.00301142 0.00301361 0.00301605 0.00324495 0.00325605 0.00325706 0.00326074 0.00353283 0.00355878 0.00356117 0.00357067 0.00437315 0.00437233 0.00435239 0.00434041 0.00495282 0.00505652 0.00509287 0.0051041 0.00512664 0.0051213 0.00508934 0.00509769 0.0051984 0.00516537 0.00512629 0.00510828 0.00701488 0.00703071 0.00705649 0.00708683 0.0091949 0.00920416 0.00919666 0.00920887 0.0109868 0.0110031 0.0110205 0.0110933 0.0186952 0.0189722 0.0196616 0.0206124 0.0279047 0.0277153 0.019211 0.0271175 0.0426156 0.0299164 0.0237972 0.0308361 0.0430466 0.0327228 0.0277945 0.0402985 0.0450913 0.0347055 0.0292179 0.0462363 0.0411188 0.0333494 0.0360639 0.0419152 0.0481886 0.0386825 0.042368 0.0500371 0.0510896 0.042073 0.0457675 0.053433 0.0480566 0.0413868 0.0443515 0.0504803 0.0475436 0.0445278 0.0459131 0.0491459 0.0686364 0.0606476 0.0670288 0.0822321 0.0896095 0.0916314 0.0991299 0.115924 0.162876 0.230332 0.221121 0.314789 0.762849 1.08382 1.94264 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1.02365e-05 0 0 0 0.00125888 1.54704e-05 0 0 0.000188874 1.85414e-05 0 0 0.000203803 2.0993e-05 0 1.71476e-06 0.000411992 0.0115664 0 9.77363e-05 0.0222236 0.000225014 0 3.03633e-05 0.00507395 0.000128483 0 2.05933e-05 0.000514295 0.00117609 0 1.73437e-06 0.000448315 4.74546e-05 0 1.74101e-06 0.000495283 5.19686e-05 0 1.70482e-06 0.000953054 0.000513412 0 1.69465e-06 0.000779105 0.000808551 3.41707e-06 3.42248e-06 0.0342338 0.0142656 0 5.44189e-06 0.0148156 0.0080574 0.000112311 4.93255e-05 1.12432e-05 0.00453293 8.31648e-05 8.42644e-05 0.0821851 0.0103846 6.92004e-05 0.000214664 0.00711598 0.00391103 4.04815e-05 9.93563e-05 0.000202758 0.000547868 4.88916e-05 0.00013738 0.000289419 0.00260749 7.64732e-05 0.000196131 2.74489e-05 0.00043091 7.34654e-05 0.000207827 5.77744e-05 0.000747337 9.45029e-05 0.000218365 0.00322661 0.00191844 0 0 8.58562e-06 0.00248982 0.00044865 0.00199167 4.63555e-06 0.000102662 0 0.000118385 0.000377753 0.000231388 8.57421e-06 0 0.00147341 0.00374482 0.000421744 0.000423288 0.000215274 3.75857e-05 0.000635359 0.000299042 0.00254258 3.50294e-05 2.64824e-05 2.98006e-06 0.000176142 7.79978e-05 0.000127869 0.000595823 0.000137549 0.00116879 0.000115311 0 0.00475427 0.0035737 0 0 0.000189918 0.0018872 0 8.29714e-05 0.101487 0.348361 0.0206267 1.69485 2.9 0.704911 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY4 0.000130676 0.000130976 0.000131322 0.000131691 3.97518e-05 3.98729e-05 3.99969e-05 4.01194e-05 3.63422e-05 3.6438e-05 3.65218e-05 3.65932e-05 4.05817e-05 4.06399e-05 4.06886e-05 4.07297e-05 7.23311e-05 7.23958e-05 7.25639e-05 7.28067e-05 0.000109325 0.00011071 0.000111677 0.00011229 0.000135576 0.000136985 0.000137872 0.000138541 0.000157369 0.000156922 0.00015613 0.000155702 0.000183779 0.000183972 0.000183633 0.000183213 7.70164e-05 7.72749e-05 7.73569e-05 7.7266e-05 0.000163348 0.000164158 0.000164115 0.000163954 0.000234926 0.000234839 0.000234467 0.000234857 0.000149141 0.000149285 0.000148779 0.000148757 0.000187325 0.000186924 0.000186268 0.0001862 0.000339224 0.000339901 0.000339971 0.000339962 0.000183335 0.000183845 0.000183807 0.000183955 0.00017975 0.000181364 0.000181797 0.000182569 0.000280726 0.000280999 0.000279837 0.000278938 0.000152412 0.000155931 0.000157513 0.00015813 0.000143964 0.000143986 0.000143125 0.000143367 0.000151014 0.000149978 0.000148738 0.000147935 0.000218594 0.000218541 0.000218915 0.000219533 0.000229344 0.000229685 0.000229621 0.000230015 0.000310227 0.000313021 0.000315553 0.000319422 0.000395483 0.000403167 0.000411872 0.000424209 0.00044778 0.000458288 0.000467959 0.000478613 0.000691812 0.000699779 0.000706264 0.000714057 0.000557676 0.000564654 0.000574308 0.000590373 0.0011786 0.00118649 0.00117827 0.00118413 0.00138897 0.001357 0.00134345 0.00134834 0.00129997 0.00129945 0.00130063 0.00130903 0.00132646 0.00124365 0.00121748 0.00123253 0.00227982 0.0019622 0.00185301 0.00188514 0.000878283 0.000829802 0.000818534 0.000836743 0.00471823 0.00245804 0.00159405 0.00175635 0.00443321 0.00482985 0.005094 0.00565384 0.00265396 0.00304425 0.00345607 0.00459863 0.0168373 0.0201879 0.0362489 0.203829 1.07488 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY5 0.0224864 0.0225654 0.0226369 0.0226993 0.0224376 0.0224816 0.0225187 0.0225494 0.0215679 0.0215868 0.0216035 0.0216187 0.020818 0.0208307 0.0208424 0.0208548 0.0212767 0.021291 0.0213169 0.0213521 0.0278947 0.0280659 0.028197 0.0282927 0.0294862 0.0296484 0.0297655 0.0298634 0.0294805 0.0295014 0.0294903 0.0294957 0.0302625 0.0302928 0.0302824 0.0302606 0.0286258 0.0286557 0.0286565 0.028631 0.0163382 0.0212453 0.0280213 0.0110047 0.0261301 0.0221763 0.0376366 0.0234117 0.0254095 0.0229073 0.0397824 0.0263669 0.0305191 0.0246257 0.0411763 0.0305391 0.0330981 0.0254424 0.0409765 0.0326307 0.0250171 0.0203126 0.0303417 0.0224608 0.0281995 0.0217075 0.037255 0.024347 0.0339024 0.0253438 0.042338 0.0298524 0.0317844 0.025301 0.0440268 0.0271488 0.0342208 0.0273625 0.0474079 0.0286975 0.0500758 0.0342603 0.0527593 0.0327676 0.0366127 0.0249487 0.0262083 0.0361706 0.0674848 0.031414 0.0635692 0.03648 0.162673 0.0881319 0.141373 0.113204 0.12387 0.0734799 0.123384 0.152491 0.0797271 0.102947 0.140839 0.0515991 0.113967 0.0618725 0.158827 0.126481 0.107358 0.0530781 0.143549 0.13656 0.129253 0.0444097 0.0969681 0.157358 0.123569 0.110159 0.141347 0.104778 0.151726 0.100287 0.157767 0.0555617 0.175618 0.120792 0.164087 0.13741 0.102534 0.049417 0.208429 0.159701 0.150989 0.22658 0.217863 0.138542 0.199698 0.128313 0.257427 0.265223 0.286048 0.13945 0.229179 0.367587 0.41622 0.183009 0.175838 0.357508 0.617525 0.49678 1.07649 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY6 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # FISHERY7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00134244 0.000678489 0.0300568 0.029025 0.106953 0.157322 0.0746747 0.11133 0.186885 0.153319 0.136491 0.136261 0.102845 0.0142262 0.0294536 0.0354751 0.0730833 0.044393 0.0126173 0.0329169 0.0513824 0.0799528 0.0378416 0.0340625 0.105125 0.110028 0.0241095 0.0931502 0.0831794 0.063661 0.0533423 0.120112 0.114201 0.0700852 0.0157482 0.107513 0.0550567 0.0222945 0.00801632 0.0608841 0.0510813 0.0582373 0.0173447 0.0411257 0.0857407 0.0510686 0.0346987 0.0702978 0.156196 0.105509 0.0807485 0.159264 0.132433 0.0608098 0.0294219 0.0590755 0.354691 0.333928 0.167098 0.222318 0.208238 0.0820491 0.125859 0.227752 0.0849836 0.0554208 0.0210686 0.0721029 0.0905444 0.0898876 0.133396 0.122472 0.122034 0.0799643 0.0886579 0.115051 0.0747296 0.055757 0.0387704 0.0740711 0.0693158 0.0474598 0.0573922 0.0991612 0.0426735 0.0357381 0.0391109 0.103402 0.0246815 0.0365743 0.0337135 0.0237683 0.0754228 0.143285 0.223508 0.295306 0.260416 0.11434 0.0290294 0.199854 0.101677 0.0652635 0.0463801 0.067583 0.0323376 0.049246 0.0260727 0.074775 0.0740852 0.0873603 0.0744449 0.109154 0.136057 0.218946 0.132248 0.213891 0.131134 0.207644 0.130487 0.191391 0.139757 0.17818 0.0854465 0.130563 0.225629 0.314914 0.270134 0.613435 0.918997 1.57162 0.894753 2.90001 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # FISHERY9 2.58296e-05 2.58806e-05 2.59352e-05 2.59936e-05 2.60552e-05 2.61198e-05 2.61868e-05 2.62545e-05 3.23947e-05 3.2472e-05 3.25433e-05 3.26078e-05 3.26665e-05 3.272e-05 3.27679e-05 3.28113e-05 3.2854e-05 3.28946e-05 3.29915e-05 3.31349e-05 3.34335e-05 3.39698e-05 3.43749e-05 3.46489e-05 2.85412e-05 2.89534e-05 2.92354e-05 2.94584e-05 2.96068e-05 2.95415e-05 2.93738e-05 2.92695e-05 2.92566e-05 2.92768e-05 2.91931e-05 2.90869e-05 3.58168e-05 3.59325e-05 3.59586e-05 3.58888e-05 2.92282e-05 2.94053e-05 2.94139e-05 2.93894e-05 2.94559e-05 2.94694e-05 2.94336e-05 2.95013e-05 2.96543e-05 2.97061e-05 2.95964e-05 2.95818e-05 2.96325e-05 2.95436e-05 2.93978e-05 2.93503e-05 2.9385e-05 2.94205e-05 2.93992e-05 2.93655e-05 3.28482e-05 3.29407e-05 3.29264e-05 3.29526e-05 3.32818e-05 3.36632e-05 3.37933e-05 3.39927e-05 4.13818e-05 4.14842e-05 4.13152e-05 4.11642e-05 4.1801e-05 4.29939e-05 4.35992e-05 4.38743e-05 4.43854e-05 4.44992e-05 4.42476e-05 4.43602e-05 0.000936822 0.000912927 0.000853554 0.00141589 0.000811994 0.000927034 0.00066218 0.00100983 0.00143883 0.000856446 0.000644652 0.000809598 0.00144715 0.00117408 0.00099572 0.00184452 0.00219693 0.000926974 0.00107511 0.00183837 0.00258875 0.00141411 0.00184027 0.00241231 0.00385623 0.00238522 0.00296362 0.00358567 0.00579108 0.0027221 0.00230885 0.00360498 0.00354751 0.00178077 0.00258616 0.00389274 0.00720793 0.00261873 0.00342135 0.00291198 0.00857456 0.00343903 0.00379408 0.00475223 0.00855467 0.00525525 0.00627968 0.00548458 0.00407958 0.00351844 0.00402956 0.00359811 0.00398784 0.00097969 0.00198107 0.00154813 0.00282837 0.00150816 0.00168876 0.00174044 0.00404609 0.00171876 0.00428324 0.00438858 0.0072922 0.0020327 0.00512141 0.0093041 0.0362225 0.0123279 0.0457451 0.205253 2.09405 0.824028 2.9 2.9 2.9 1.62492 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.112176 0.167416 0.0881402 0.046996 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY11 0 0 0 0 0 0 0 0 0 0 0 2.9 2.9 0.885342 0.220876 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY12 0.00625476 0.00626364 0.00627186 0.0062791 0.0112778 0.0112993 0.0113191 0.0113373 0.0106419 0.0106552 0.0106675 0.010739 0.00985459 0.0098873 0.00990561 0.00994423 0.0117889 0.0119505 0.0121056 0.0121833 0.0126415 0.012753 0.0127837 0.0128069 0.0146467 0.0148504 0.0149667 0.0150108 0.0150934 0.0153216 0.0153797 0.0153181 0.0160991 0.016163 0.0160951 0.0159654 0.014582 0.0145506 0.0144872 0.0143974 0.0168858 0.0169766 0.0170194 0.017008 0.0200489 0.0199965 0.0199338 0.0199758 0.0246566 0.0247926 0.0249451 0.0250811 0.029286 0.0291831 0.0290755 0.0290133 0.0301443 0.0300968 0.0301372 0.0301699 0.0285256 0.0285617 0.0285508 0.0284851 0.0501551 0.0502073 0.0502786 0.0504583 0.0556276 0.0559433 0.0561418 0.0562252 0.0593523 0.059546 0.0594958 0.0594368 0.0648993 0.0653966 0.0656497 0.0658103 0.0402337 0.0430759 0.0805387 0.053356 0.033684 0.0385045 0.0652567 0.0422133 0.0512298 0.0563 0.0789784 0.0765431 0.0635128 0.0696457 0.0931877 0.0908839 0.061467 0.0707716 0.092428 0.0943138 0.0541345 0.0683993 0.101789 0.104646 0.0986939 0.116346 0.157689 0.163419 0.102566 0.125242 0.178143 0.183753 0.125562 0.13272 0.149484 0.152502 0.0392137 0.0791862 0.164909 0.26716 0.019686 0.0265445 0.496729 0.11373 0.0187919 0.0269859 0.651685 0.0732212 0.18691 0.200864 0.232621 0.237444 0.170958 0.182089 0.211311 0.215594 0.143136 0.156035 0.186598 0.188844 0.182987 0.190204 0.279948 0.231336 0.189161 0.21044 0.239259 0.210832 0.0716229 0.783093 0.0955569 0.194097 0.294757 0.348169 0.499833 0.578207 2.9 0.323802 0.567036 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY13 0 0 0 0 0 0 0 0 0 0 0 0.142761 0.0565901 0.046721 0.0274099 0.104882 0.122832 0.300544 0.162905 0.158623 0.259787 0.196632 0.100105 0.180215 0.33424 0.356952 0.204899 0.222983 0.421102 0.461749 0.117442 0.184687 0.295237 0.265085 0.0354758 0.101595 0.11935 0.179657 0.044247 0.0925171 0.149483 0.297641 0.091954 0.193676 0.148205 0.0722778 0.0766842 0.217732 0.264048 0.170787 0.291516 0.188094 0.094835 0.0630497 0.0651584 0.0977883 0.084701 0.0744267 0.166788 0.0778067 0.123544 0.145931 0.0768737 0.0790095 0.103754 0.0723287 0.112926 0.147885 0.167196 0.160247 0.114666 0.102132 0.205981 0.0804746 0.0794396 0.0713926 0.183236 0.208295 0.0846793 0.161846 0.162602 0.108933 0.449 0.166284 0.180786 0.213658 0.0349364 0.0314219 0.0917484 0.108945 0.109139 0.0600849 0.110399 0.0629864 0.0301711 0.0531285 0.0640961 0.0482776 0.0505679 0.0826983 0.193749 0.111525 0.152254 0.0620196 0.194033 0.134118 0.136578 0.167516 0.215746 0.302576 0.261087 0.151799 0.17499 0.251396 0.464309 0.120741 0.144376 0.285472 0.50283 0.198556 0.29502 0.389885 0.495228 0.142003 0.204371 0.139908 0.253631 0.171437 0.190539 0.123133 0.213952 0.201827 0.485727 0.174615 0.293543 0.268292 0.547472 0.260836 0.327062 0.412186 0.708473 0.401937 0.610129 0.296949 0.985648 0.266462 0.492358 0.437056 1.00961 0.423553 0.391375 0.569132 1.74128 0.770363 0.964002 1.21898 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY14 0.000323001 0.000323343 0.000323693 0.000324057 0.000485525 0.000486471 0.000487443 0.000488431 0.000382102 0.000382836 0.000383541 0.000387437 0.00028186 0.000283174 0.000283832 0.00028536 0.000268983 0.000274284 0.000279289 0.000281538 0.000264588 0.000267731 0.000268214 0.000268519 0.000358778 0.000365946 0.000369598 0.000370434 0.000381554 0.0003901 0.000391469 0.000387984 0.000423451 0.000425482 0.000421959 0.000416173 0.00044404 0.000442932 0.000440285 0.000436423 0.000566624 0.000571896 0.000574352 0.000573863 0.000707801 0.000704665 0.000700476 0.000702392 0.00107012 0.00107851 0.00108815 0.00109686 0.00146237 0.00145216 0.00144214 0.00143654 0.0013869 0.00138339 0.0013869 0.00138993 0.00134282 0.00134699 0.00134719 0.00134298 0.000874616 0.000873787 0.000873891 0.000877628 0.000972011 0.000979414 0.000983725 0.000985086 0.00112283 0.00112769 0.0011254 0.00112326 0.0012604 0.0012745 0.00128038 0.00128334 0.00101233 0.00101244 0.00102867 0.00104445 0.000757749 0.000757894 0.000752885 0.000742426 0.00121759 0.00121435 0.00121825 0.00122115 0.00148861 0.00149722 0.00150189 0.00150783 0.001332 0.00134455 0.00136122 0.00138523 0.00112906 0.0011596 0.00118767 0.00121059 0.00224745 0.00229997 0.00235893 0.00242231 0.002393 0.00246759 0.00254939 0.00260779 0.0121746 0.00595317 0.0230382 0.013675 0.0123864 0.00588344 0.0230111 0.0135895 0.0147821 0.00718732 0.0279081 0.016602 0.0178872 0.00870207 0.0329687 0.0197659 0.0232605 0.0104029 0.0453393 0.0261117 0.0246765 0.0107711 0.0469818 0.0267616 0.0255211 0.0104793 0.0493859 0.0273268 0.0275854 0.0114558 0.0552035 0.0317886 0.00801917 0.0107351 0.0803205 0.036168 0.0338739 0.0149349 0.0721876 0.0419553 0.053328 0.0240899 0.131519 0.0840121 0.362047 0.102207 0.137727 1.02659 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY15 0.00300813 0.00301135 0.00301462 0.00301799 0.00522714 0.00523721 0.0052475 0.00525792 0.00527634 0.00528623 0.00529577 0.00535296 0.0052947 0.00532309 0.00533854 0.00537173 0.00678757 0.00693689 0.00708203 0.0071529 0.00770151 0.00781159 0.00783818 0.00785691 0.00882408 0.00902419 0.00913333 0.00916636 0.00930111 0.00953506 0.00958451 0.00950319 0.0100061 0.0100632 0.00997992 0.00983514 0.00831162 0.00828598 0.0082295 0.00814713 0.00954981 0.00963693 0.00967714 0.00966423 0.00834166 0.00853213 0.0201407 0.00826568 0.0118155 0.0123476 0.0157158 0.011276 0.0146917 0.0133075 0.0162002 0.0122462 0.0169079 0.0132541 0.0178243 0.0130971 0.0146734 0.0131728 0.015214 0.0127771 0.0156597 0.0136932 0.0162582 0.0133107 0.0179893 0.0151005 0.0191905 0.0145076 0.0161585 0.0145839 0.0167265 0.01415 0.0166787 0.0153537 0.0174503 0.0151225 0.0152455 0.0135818 0.0160554 0.0136669 0.016247 0.0136968 0.0169752 0.0128502 0.0193902 0.0167957 0.0201451 0.0162648 0.0250273 0.0247951 0.0240223 0.0169454 0.0261287 0.025074 0.0286025 0.0245057 0.0347468 0.0355584 0.0389823 0.0355243 0.0295916 0.0371575 0.0898748 0.0375763 0.052288 0.0662427 0.0607525 0.0537162 0.0511964 0.0304338 0.057398 0.0256009 0.0626917 0.0247663 0.0590583 0.0336461 0.0689062 0.0780517 0.0857998 0.0455805 0.0558832 0.131972 0.0624223 0.0615932 0.0686961 0.166142 0.0861749 0.0804846 0.0535304 0.0705365 0.140616 0.0657061 0.0808903 0.123099 0.0935114 0.0492633 0.0520063 0.0830243 0.339414 0.0985441 0.0736156 0.0920676 0.199129 0.0543309 0.130253 0.148237 0.217339 0.149673 0.167414 0.210784 0.253278 0.206319 0.24288 0.470006 0.85869 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY16 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.9 2.9 2.9 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 0 2.9 0 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 2.9 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 2.9 0 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 2.9 0 0 0 # FISHERY17 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 2.9 0 2.9 2.9 0 2.9 2.9 2.9 0 0 0 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 0 0 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 0 # FISHERY18 0.308363 0.326237 0.344356 0.363056 0.403242 0.425523 0.448255 0.471162 0.519969 0.546157 0.572146 0.597957 0.655392 0.686302 0.717613 0.749319 0.831509 0.891653 0.951611 1.00534 1.93623 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY19 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.000553108 0 0.000123036 0.000162474 0.0122036 0.00201817 0.00156827 0.000568076 0.00333161 0.00263658 0.00198227 0.000738023 0.00368836 0.00259048 0.0015785 0.000201252 0.000996833 0.00352806 0.00308196 0.000813795 0.00419002 0.00279028 0.00261587 0.000246472 0.00142827 0.00608938 0.00792659 0.000680236 0.00368556 0.00462291 0.00622109 0 0.0035134 0.00419173 0.00648051 0 0.000398992 0.0102365 0.0111635 0.00135097 0.00743226 0.00371445 0.00529538 0.00078176 0.00482735 0 0 0 0 1.75679 0 2.9 0 2.9 0 0 2.9 2.9 0 0 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 0 0 0 2.9 2.9 0 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 0 0 2.9 2.9 2.9 0 0 2.9 2.9 2.9 0 2.9 0 0 0 2.9 2.9 0 0 0 0 0 0 0 2.9 0 0 0 0 0 0 0 2.9 0 0 0 2.9 0 0 0 2.9 2.9 2.9 0 0 # FISHERY20 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0.00289917 0 1.06219e-05 0.00194637 0.00960267 0.000313375 0.000820191 0.000985622 0.00255085 0.000860421 0.00168899 0.0014313 0.00281407 0.0002397 0.000468141 0.000392678 0.000781062 0.000959805 0.00191351 0.00161228 0.00315635 0.000443067 0.000563767 0.000464267 0.000927607 0.00090645 0.00145339 0.00608241 0.00230554 0.00086368 0 0 0.00041398 5.27256e-05 0 0 0 0.0098698 0.00254862 0.00220069 0.00442932 0.000503711 0.00110982 0.00102586 0.00503814 0 0 0 0 0.165411 0.0934985 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 0 2.9 2.9 0 0 2.9 2.9 0 2.9 2.9 2.9 2.9 2.9 2.9 0 # FISHERY21 0.000329778 0.000330065 0.000330356 0.000330652 0.000100083 0.000100236 0.000100397 0.00010057 8.91283e-05 8.93003e-05 8.94822e-05 9.10088e-05 0.000105134 0.000106193 0.000106829 0.000108032 0.000194991 0.000202585 0.000210596 0.000214911 0.000331288 0.000340638 0.000343524 0.000345306 0.00042176 0.00043986 0.000450872 0.000454637 0.0067124 0.00704499 0.0071392 0.00702824 0.00769019 0.00776445 0.00763848 0.00741131 0.00744135 0.00737493 0.00726766 0.00711754 0.0093796 0.0095171 0.00959492 0.00957088 0.0119173 0.0118119 0.0116467 0.0116676 0.0172629 0.0175249 0.0178209 0.0181197 0.0240247 0.0236649 0.023278 0.0230174 0.0224151 0.0222256 0.0222514 0.0222957 0.0211318 0.0212324 0.0212319 0.0210941 0.0139618 0.0139042 0.0138681 0.0139418 0.0157423 0.0159283 0.0160209 0.0160171 0.0177727 0.0178939 0.0177893 0.0176828 0.0197696 0.0201564 0.0203237 0.0203856 0.0162724 0.01631 0.0168192 0.0173952 0.0130634 0.0131338 0.0130072 0.0126618 0.0200991 0.01995 0.0198675 0.0197121 0.0264929 0.0255511 0.0244419 0.0248133 0.0255213 0.0239844 0.0241072 0.0259653 0.0298899 0.0311956 0.0286679 0.0223892 0.0434254 0.0614701 0.0527765 0.054738 0.0610279 0.0745809 0.0658147 0.0702552 0.117612 0.10032 0.100222 0.0986466 0.115469 0.106546 0.115781 0.131326 0.174174 0.178749 0.176723 0.158726 0.236373 0.22447 0.20681 0.200308 0.246044 0.246088 0.224325 0.274901 0.191431 0.174496 0.186242 0.188416 0.195157 0.171521 0.175338 0.195513 0.231484 0.231249 0.243003 0.23831 0.290683 0.241149 0.272453 0.272465 0.39432 0.372729 0.374403 0.400882 1.12769 1.03096 1.04364 1.52724 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 2.9 0 # #_Q_setup for fleets with cpue or survey data #_1: fleet number #_2: link type: (1=simple q, 1 parm; 2=mirror simple q, 1 mirrored parm; 3=q and power, 2 parm; 4=mirror with offset, 2 parm) #_3: extra input for link, i.e. mirror fleet# or dev index number #_4: 0/1 to select extra sd parameter #_5: 0/1 for biasadj or not #_6: 0/1 to float #_ fleet link link_info extra_se biasadj float # fleetname 22 1 0 0 0 0 # SURVEY1 23 2 22 0 1 0 # SURVEY2 24 2 22 0 1 0 # SURVEY3 25 2 22 0 1 0 # SURVEY4 -9999 0 0 0 0 0 # #_Q_parms(if_any);Qunits_are_ln(q) #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name -25 25 4.01817 0 1 0 1 0 0 0 0 0 0 0 # LnQ_base_SURVEY1(26) -25 25 4.01817 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_SURVEY2(27) -25 25 4.01817 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_SURVEY3(28) -25 25 4.01817 0 1 0 -1 0 0 0 0 0 0 0 # LnQ_base_SURVEY4(29) #_no timevary Q parameters # #_size_selex_patterns #Pattern:_0; parm=0; selex=1.0 for all sizes #Pattern:_1; parm=2; logistic; with 95% width specification #Pattern:_5; parm=2; mirror another size selex; PARMS pick the min-max bin to mirror #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_6; parm=2+special; non-parm len selex #Pattern:_43; parm=2+special+2; like 6, with 2 additional param for scaling (average over bin range) #Pattern:_8; parm=8; New doublelogistic with smooth transitions and constant above Linf option #Pattern:_9; parm=6; simple 4-parm double logistic with starting length; parm 5 is first length; parm 6=1 does desc as offset #Pattern:_21; parm=2+special; non-parm len selex, read as pairs of size, then selex #Pattern:_22; parm=4; double_normal as in CASAL #Pattern:_23; parm=6; double_normal where final value is directly equal to sp(6) so can be >1.0 #Pattern:_24; parm=6; double_normal with sel(minL) and sel(maxL), using joiners #Pattern:_25; parm=3; exponential-logistic in size #Pattern:_27; parm=3+special; cubic spline #Pattern:_42; parm=2+special+3; // like 27, with 2 additional param for scaling (average over bin range) #_discard_options:_0=none;_1=define_retention;_2=retention&mortality;_3=all_discarded_dead;_4=define_dome-shaped_retention #_Pattern Discard Male Special 0 0 0 0 # 1 FISHERY1 0 0 0 0 # 2 FISHERY2 0 0 0 0 # 3 FISHERY3 0 0 0 0 # 4 FISHERY4 0 0 0 0 # 5 FISHERY5 27 0 0 5 # 6 FISHERY6 0 0 0 0 # 7 FISHERY7 27 0 0 5 # 8 FISHERY8 0 0 0 0 # 9 FISHERY9 0 0 0 0 # 10 FISHERY10 0 0 0 0 # 11 FISHERY11 0 0 0 0 # 12 FISHERY12 0 0 0 0 # 13 FISHERY13 0 0 0 0 # 14 FISHERY14 0 0 0 0 # 15 FISHERY15 15 0 0 6 # 16 FISHERY16 15 0 0 8 # 17 FISHERY17 0 0 0 0 # 18 FISHERY18 15 0 0 6 # 19 FISHERY19 15 0 0 8 # 20 FISHERY20 0 0 0 0 # 21 FISHERY21 0 0 0 0 # 22 SURVEY1 0 0 0 0 # 23 SURVEY2 0 0 0 0 # 24 SURVEY3 0 0 0 0 # 25 SURVEY4 # #_age_selex_patterns #Pattern:_0; parm=0; selex=1.0 for ages 0 to maxage #Pattern:_10; parm=0; selex=1.0 for ages 1 to maxage #Pattern:_11; parm=2; selex=1.0 for specified min-max age #Pattern:_12; parm=2; age logistic #Pattern:_13; parm=8; age double logistic #Pattern:_14; parm=nages+1; age empirical #Pattern:_15; parm=0; mirror another age or length selex #Pattern:_16; parm=2; Coleraine - Gaussian #Pattern:_17; parm=nages+1; empirical as random walk N parameters to read can be overridden by setting special to non-zero #Pattern:_41; parm=2+nages+1; // like 17, with 2 additional param for scaling (average over bin range) #Pattern:_18; parm=8; double logistic - smooth transition #Pattern:_19; parm=6; simple 4-parm double logistic with starting age #Pattern:_20; parm=6; double_normal,using joiners #Pattern:_26; parm=3; exponential-logistic in age #Pattern:_27; parm=3+special; cubic spline in age #Pattern:_42; parm=2+nages+1; // cubic spline; with 2 additional param for scaling (average over bin range) #_Pattern Discard Male Special 20 0 0 0 # 1 FISHERY1 12 0 0 0 # 2 FISHERY2 12 0 0 0 # 3 FISHERY3 20 0 0 0 # 4 FISHERY4 20 0 0 0 # 5 FISHERY5 0 0 0 0 # 6 FISHERY6 12 0 0 0 # 7 FISHERY7 0 0 0 0 # 8 FISHERY8 20 0 0 0 # 9 FISHERY9 12 0 0 0 # 10 FISHERY10 12 0 0 0 # 11 FISHERY11 20 0 0 0 # 12 FISHERY12 12 0 0 0 # 13 FISHERY13 20 0 0 0 # 14 FISHERY14 15 0 0 9 # 15 FISHERY15 0 0 0 0 # 16 FISHERY16 0 0 0 0 # 17 FISHERY17 15 0 0 9 # 18 FISHERY18 0 0 0 0 # 19 FISHERY19 0 0 0 0 # 20 FISHERY20 12 0 0 0 # 21 FISHERY21 15 0 0 7 # 22 SURVEY1 15 0 0 10 # 23 SURVEY2 15 0 0 11 # 24 SURVEY3 15 0 0 13 # 25 SURVEY4 # #_ LO HI INIT PRIOR PR_SD PR_type PHASE env-var use_dev dev_mnyr dev_mxyr dev_PH Block Blk_Fxn # parm_name # 1 FISHERY1 LenSelex # 2 FISHERY2 LenSelex # 3 FISHERY3 LenSelex # 4 FISHERY4 LenSelex # 5 FISHERY5 LenSelex # 6 FISHERY6 LenSelex 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Code_FISHERY6_6 -0.001 1 0.27 -1 0.001 1 3 0 0 0 0 0 0 0 # SizeSpline_GradLo_FISHERY6_6 -1 0.02 0.02 0.02 0.001 1 -3 0 0 0 0 0 0 0 # SizeSpline_GradHi_FISHERY6_6 13 200 23.125 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_1_FISHERY6_6 13 200 41.9035 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_2_FISHERY6_6 13 200 45.6322 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_3_FISHERY6_6 13 200 110.298 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_4_FISHERY6_6 13 200 145.923 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_5_FISHERY6_6 -35 0 -15 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_1_FISHERY6_6 -10 7 0.0715442 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_2_FISHERY6_6 -10 7 0.278668 -1 -1 0 -2 0 0 0 0 0 0 0 # SizeSpline_Val_3_FISHERY6_6 -10 7 0.615126 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_4_FISHERY6_6 -10 7 5.17336 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_5_FISHERY6_6 # 7 FISHERY7 LenSelex # 8 FISHERY8 LenSelex 0 0 0 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Code_FISHERY8 -1 1 0.895621 -1 0.001 1 3 0 0 0 0 0 0 0 # SizeSpline_GradLo_FISHERY8 -1 0.02 -0.10202 -1 0.001 0 3 0 0 0 0 0 0 0 # SizeSpline_GradHi_FISHERY8 13 200 23.125 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_1_FISHERY8 13 200 41.9035 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_2_FISHERY8 13 200 45.6322 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_3_FISHERY8 13 200 110.298 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_4_FISHERY8 13 200 145.923 0 0 0 -99 0 0 0 0 0 0 0 # SizeSpline_Knot_5_FISHERY8 -10 7 -8.60135 0 0.001 0 -2 0 0 0 0 0 0 0 # SizeSpline_Val_1_FISHERY8 -10 7 0.29167 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_2_FISHERY8 -10 7 0.278668 -1 -1 0 -2 0 0 0 0 0 0 0 # SizeSpline_Val_3_FISHERY8 -10 7 -0.531305 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_4_FISHERY8 -10 7 -0.305428 0 0.001 0 2 0 0 0 0 0 0 0 # SizeSpline_Val_5_FISHERY8 # 9 FISHERY9 LenSelex # 10 FISHERY10 LenSelex # 11 FISHERY11 LenSelex # 12 FISHERY12 LenSelex # 13 FISHERY13 LenSelex # 14 FISHERY14 LenSelex # 15 FISHERY15 LenSelex # 16 FISHERY16 LenSelex # 17 FISHERY17 LenSelex # 18 FISHERY18 LenSelex # 19 FISHERY19 LenSelex # 20 FISHERY20 LenSelex # 21 FISHERY21 LenSelex # 22 FISHERY22 LenSelex # 23 FISHERY23 LenSelex # 24 FISHERY24 LenSelex # 25 FISHERY25 LenSelex # 26 SURVEY1 LenSelex # 27 SURVEY2 LenSelex # 28 SURVEY3 LenSelex # 29 SURVEY4 LenSelex # 1 FISHERY1 AgeSelex 1 12 7 7 3 6 3 0 0 0 0 0 1 2 # AgeSel_P1_FISHERY1(1) -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY1(1) -10 9 -1 -1 3 6 4 0 0 0 0 0 1 2 # AgeSel_P3_FISHERY1(1) -5 9 3 3 1 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY1(1) -10 9 -6 -6 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY1(1) -9 5 -2 -2 1 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY1(1) # 2 FISHERY2 AgeSelex # 1 40 10 10 5 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY2(2) # -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY2(2) # -10 9 -1 -1 3 6 4 0 0 0 0 0 0 0 # AgeSel_P3_FISHERY2(2) # -5 9 3 3 1 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY2(2) # -10 9 -6 -6 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY2(2) # -9 5 -2 -2 1 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY2(2) 2 18 10 10 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY3(3) 2 8 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY3(3) # 3 FISHERY3 AgeSelex # 8 30 14 14 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY3(3) # 0.1 6 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY3(3) 8 18 14 14 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY3(3) 2 6 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY3(3) # 4 FISHERY4 AgeSelex 1 40 5 5 3 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY4(4) -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY4(4) -10 9 -3 -3 1 6 4 0 0 0 0 0 0 0 # AgeSel_P3_FISHERY4(4) -5 9 5 5 1 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY4(4) -10 9 -6 -6 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY4(4) -9 9 -1 -3 1 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY4(4) # 5 FISHERY5 AgeSelex 1 10 3 3 1 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY5(5) -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY5(5) -7 5 -2 -2 1 6 4 0 0 0 0 0 0 0 # AgeSel_P3_FISHERY5(5) -5 9 3 3 1 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY5(5) -10 9 -6 -6 1 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY5(5) -9 9 -3 -3 1 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY5(5) # 6 FISHERY6 AgeSelex # 0 2 0 0 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Code_FISHERY6_6 # -1 2 1.5 1.5 0.5 6 -3 0 0 0 0 0 0 0 # AgeSpline_GradLo_FISHERY6_6 # -1 1 -0.1 -0.1 0.1 6 3 0 0 0 0 0 0 0 # AgeSpline_GradHi_FISHERY6_6 # 1 14 2 2 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_1_FISHERY6_6 # 1 24 4 4 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_2_FISHERY6_6 # 4 24 7 7 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_3_FISHERY6_6 # 4 24 16 16 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_4_FISHERY6_6 # 4 27 20 20 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_5_FISHERY6_6 # -10 10 -5 -5 2 6 2 0 0 0 0 0 0 0 # AgeSpline_Val_1_FISHERY6_6 # -10 10 -2.5 -2.5 0.5 6 2 0 0 0 0 0 0 0 # AgeSpline_Val_2_FISHERY6_6 # -10 10 -3 -3 0.5 6 2 0 0 0 0 0 0 0 # AgeSpline_Val_3_FISHERY6_6 # -10 10 0 0 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Val_4_FISHERY6_6 # -10 10 -0.5 -0.5 1 6 3 0 0 0 0 0 0 0 # AgeSpline_Val_5_FISHERY6_6 # 7 FISHERY7 AgeSelex 8 18 14 14 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY7(3) 2 6 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY7(3) # 8 FISHERY8 AgeSelex # 0 2 0 0 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Code_FISHERY8_8 # -1 3 2 2 0 0 -3 0 0 0 0 0 0 0 # AgeSpline_GradLo_FISHERY8_8 # -1 1 -0.5 -0.5 0.2 6 3 0 0 0 0 0 0 0 # AgeSpline_GradHi_FISHERY8_8 # 1 14 2 2 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_1_FISHERY8_8 # 1 24 4 4 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_2_FISHERY8_8 # 4 24 9 9 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_3_FISHERY8_8 # 4 24 11 11 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_4_FISHERY8_8 # 4 27 13 13 0 0 -99 0 0 0 0 0 0 0 # AgeSpline_Knot_5_FISHERY8_8 # -10 10 -3 -3 0.5 6 2 0 0 0 0 0 0 0 # AgeSpline_Val_1_FISHERY8_8 # -10 10 0 0 2 6 -2 0 0 0 0 0 0 0 # AgeSpline_Val_2_FISHERY8_8 # -10 10 -1 -1 2 6 2 0 0 0 0 0 0 0 # AgeSpline_Val_3_FISHERY8_8 # -10 10 0 0 1 6 3 0 0 0 0 0 0 0 # AgeSpline_Val_4_FISHERY8_8 # -10 10 -0.5 -0.5 2 6 4 0 0 0 0 0 0 0 # AgeSpline_Val_5_FISHERY8_8 # 9 FISHERY9 AgeSelex 1 10 2.5 2.5 1 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY9(9) -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY9(9) -7 3 -2 -2 1 6 4 0 0 0 0 0 0 0 # AgeSel_P3_FISHERY9(9) -5 9 4 4 1 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY9(9) -10 9 -6 -6 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY9(9) -9 7 1 1 2 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY9(9) # 10 FISHERY10 AgeSelex 8 18 14 14 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY10(10) 2 6 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY10(10) # 11 FISHERY11 AgeSelex 8 18 14 14 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY11(1) 2 6 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY11(11) # 12 FISHERY12 AgeSelex 1 10 5.5 5.5 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY12(12) -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY12(12) -10 5 2 2 2 6 4 0 0 0 0 0 0 0 # AgeSel_P3_FISHERY12(12) -5 9 1 1 2 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY12(12) -10 9 -6 -6 1 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY12(12) -9 9 -2 -2 1 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY12(12) # 13 FISHERY13 AgeSelex 8 18 14 14 2 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY13(13) 2 6 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY13(13) # 14 FISHERY14 AgeSelex 1 10 2 2 1 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY14(14) -20 -3 -9.70313 -3 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY14(14) -15 2 -6 -6 2 6 4 0 0 0 0 0 0 0 # AgeSel_P3_FISHERY14(14) 0 12 7 7 1 6 4 0 0 0 0 0 0 0 # AgeSel_P4_FISHERY14(14) -10 9 -6 -6 1000 6 -5 0 0 0 0 0 0 0 # AgeSel_P5_FISHERY14(14) -9 9 0 0 1 6 5 0 0 0 0 0 0 0 # AgeSel_P6_FISHERY14(14) # 15 FISHERY15 AgeSelex # 16 FISHERY16 AgeSelex # 17 FISHERY17 AgeSelex # 18 FISHERY18 AgeSelex # 19 FISHERY19 AgeSelex # 20 FISHERY20 AgeSelex # 21 FISHERY25 AgeSelex 5 20 14 14 1 6 3 0 0 0 0 0 0 0 # AgeSel_P1_FISHERY25(21) 2 10 4 4 1 6 3 0 0 0 0 0 0 0 # AgeSel_P2_FISHERY25(21) # 22 SURVEY1 AgeSelex # 23 SURVEY2 AgeSelex # 24 SURVEY3 AgeSelex # 25 SURVEY4 AgeSelex # timevary selex parameters #_ LO HI INIT PRIOR PR_SD PR_type PHASE # parm_name 1 12 7 7 3 6 3 # AgeSel_P1_FISHERY1(1)_BLK1repl_213 1 12 7 7 3 6 3 # AgeSel_P1_FISHERY1(1)_BLK1repl_261 -10 9 -1 -1 3 6 4 # AgeSel_P3_FISHERY1(1)_BLK1repl_213 -10 9 -1 -1 3 6 4 # AgeSel_P3_FISHERY1(1)_BLK1repl_261 # info on dev vectors created for selex parms are reported with other devs after tag parameter section # 0 # use 2D_AR1 selectivity(0/1): experimental feature #_no 2D_AR1 selex offset used # # Tag loss and Tag reporting parameters go next 1 # TG_custom: 0=no read; 1=read -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_1 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_2 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_3 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_4 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_5 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_6 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_7 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_8 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_9 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_10 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_11 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_12 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_13 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_14 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_15 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_16 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_17 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_18 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_19 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_20 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_21 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_22 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_23 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_24 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_25 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_26 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_27 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_28 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_29 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_30 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_31 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_32 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_33 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_34 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_35 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_36 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_37 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_38 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_39 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_40 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_41 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_42 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_43 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_44 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_45 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_46 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_47 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_48 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_49 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_50 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_51 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_52 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_53 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_54 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_55 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_56 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_57 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_58 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_59 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_60 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_61 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_62 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_63 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_64 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_65 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_66 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_67 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_68 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_69 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_70 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_71 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_72 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_73 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_74 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_75 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_76 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_77 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_78 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_79 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_80 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_81 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_82 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_83 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_84 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_85 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_86 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_87 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_88 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_89 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_90 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_91 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_92 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_93 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_94 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_95 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_96 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_97 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_98 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_99 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_100 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_101 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_102 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_103 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_104 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_105 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_106 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_107 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_108 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_109 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_110 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_111 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_112 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_113 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_114 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_115 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_116 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_117 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_118 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_119 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_120 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_121 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_122 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_123 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_124 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_125 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_126 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_127 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_128 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_129 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_130 -15 10 -10 -10 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_init_131 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_1 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_2 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_3 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_4 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_5 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_6 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_7 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_8 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_9 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_10 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_11 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_12 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_13 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_14 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_15 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_16 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_17 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_18 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_19 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_20 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_21 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_22 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_23 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_24 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_25 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_26 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_27 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_28 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_29 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_30 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_31 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_32 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_33 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_34 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_35 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_36 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_37 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_38 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_39 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_40 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_41 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_42 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_43 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_44 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_45 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_46 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_47 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_48 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_49 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_50 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_51 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_52 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_53 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_54 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_55 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_56 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_57 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_58 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_59 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_60 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_61 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_62 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_63 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_64 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_65 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_66 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_67 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_68 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_69 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_70 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_71 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_72 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_73 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_74 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_75 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_76 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_77 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_78 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_79 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_80 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_81 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_82 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_83 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_84 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_85 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_86 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_87 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_88 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_89 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_90 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_91 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_92 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_93 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_94 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_95 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_96 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_97 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_98 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_99 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_100 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_101 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_102 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_103 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_104 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_105 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_106 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_107 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_108 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_109 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_110 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_111 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_112 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_113 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_114 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_115 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_116 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_117 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_118 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_119 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_120 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_121 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_122 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_123 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_124 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_125 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_126 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_127 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_128 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_129 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_130 -15 10 -3.5 -3.5 0.001 1 -4 0 0 0 0 0 0 0 # TG_loss_chronic_131 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_1 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_2 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_3 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_4 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_5 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_6 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_7 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_8 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_9 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_10 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_11 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_12 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_13 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_14 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_15 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_16 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_17 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_18 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_19 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_20 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_21 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_22 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_23 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_24 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_25 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_26 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_27 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_28 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_29 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_30 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_31 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_32 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_33 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_34 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_35 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_36 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_37 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_38 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_39 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_40 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_41 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_42 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_43 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_44 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_45 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_46 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_47 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_48 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_49 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_50 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_51 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_52 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_53 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_54 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_55 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_56 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_57 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_58 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_59 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_60 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_61 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_62 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_63 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_64 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_65 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_66 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_67 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_68 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_69 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_70 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_71 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_72 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_73 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_74 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_75 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_76 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_77 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_78 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_79 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_80 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_81 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_82 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_83 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_84 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_85 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_86 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_87 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_88 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_89 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_90 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_91 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_92 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_93 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_94 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_95 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_96 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_97 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_98 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_99 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_100 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_101 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_102 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_103 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_104 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_105 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_106 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_107 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_108 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_109 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_110 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_111 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_112 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_113 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_114 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_115 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_116 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_117 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_118 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_119 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_120 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_121 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_122 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_123 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_124 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_125 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_126 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_127 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_128 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_129 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_130 1 10 7 7 0.001 1 -4 0 0 0 0 0 0 0 # TG_overdispersion_131 -10 10 -2.81911 -2.81911 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_1 -10 10 -6.05099 -6.05099 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_2 -10 10 -1.5506 -1.5506 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_3 -10 10 4.59512 4.59512 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_4 -10 10 -2.81161 -2.81161 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_5 -20 20 10 10 2 6 -6 0 0 0 0 0 0 0 # TG_report_fleet:_6 -10 10 -2.34957 -2.34957 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_7 -20 20 10 10 2 6 -6 0 0 0 0 0 0 0 # TG_report_fleet:_8 -10 10 0.0640219 0.0640219 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_9 -10 10 -1.89215 -1.89215 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_10 -10 10 -0.605878 -0.605878 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_11 -10 10 -5.43322 -5.43322 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_12 -10 10 -1.27736 -1.27736 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_13 -10 10 1.53681 1.53681 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_14 -10 10 -1.92775 -1.92775 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_15 -20 20 10 10 2 6 -6 0 0 0 0 0 0 0 # TG_report_fleet:_16 -20 20 10 10 2 6 -6 0 0 0 0 0 0 0 # TG_report_fleet:_17 -10 10 -2.31853 -2.31853 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_18 -10 10 1.43063 1.43063 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_19 -10 10 1.43063 1.43063 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_20 -10 10 1.43063 1.43063 2 6 6 0 0 0 0 0 0 0 # TG_report_fleet:_21 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_1 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_2 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_3 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_4 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_5 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_6 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_7 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_8 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_9 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_10 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_11 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_12 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_13 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_14 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_15 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_16 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_17 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_18 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_19 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_20 -4 0 0 0 2 6 -4 0 0 0 0 0 0 0 # TG_rpt_decay_fleet:_21 # # deviation vectors for timevary parameters # base base first block block env env dev dev dev dev dev # type index parm trend pattern link var vectr link _mnyr mxyr phase dev_vector # 1 25 1 0 0 2 0 1 2 121 280 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 1 28 3 0 0 2 0 2 2 121 280 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 # 1 33 5 0 0 2 7 0 0 0 0 0 # 1 34 6 0 0 2 1 0 0 0 0 0 # 1 35 7 0 0 2 5 0 0 0 0 0 # 1 36 8 0 0 2 4 0 0 0 0 0 # 1 37 9 0 0 2 7 0 0 0 0 0 # 1 38 10 0 0 2 1 0 0 0 0 0 # 1 43 11 0 0 2 3 0 0 0 0 0 # 1 44 12 0 0 2 3 0 0 0 0 0 # 1 45 13 0 0 2 5 0 0 0 0 0 # 1 46 14 0 0 2 4 0 0 0 0 0 # 1 47 15 0 0 2 3 0 0 0 0 0 # 1 48 16 0 0 2 3 0 0 0 0 0 # 5 1 17 1 2 2 0 0 0 0 0 0 # 5 3 19 1 2 2 0 0 0 0 0 0 # 5 7 21 2 2 2 0 0 0 0 0 0 # 5 9 22 2 2 2 0 0 0 0 0 0 # # Input variance adjustments factors: #_1=add_to_survey_CV #_2=add_to_discard_stddev #_3=add_to_bodywt_CV #_4=mult_by_lencomp_N #_5=mult_by_agecomp_N #_6=mult_by_size-at-age_N #_7=mult_by_generalized_sizecomp #_Factor Fleet Value -9999 1 0 # terminator # 4 #_maxlambdaphase 1 #_sd_offset; must be 1 if any growthCV, sigmaR, or survey extraSD is an estimated parameter # read 0 changes to default Lambdas (default value is 1.0) # Like_comp codes: 1=surv; 2=disc; 3=mnwt; 4=length; 5=age; 6=SizeFreq; 7=sizeage; 8=catch; 9=init_equ_catch; # 10=recrdev; 11=parm_prior; 12=parm_dev; 13=CrashPen; 14=Morphcomp; 15=Tag-comp; 16=Tag-negbin; 17=F_ballpark; 18=initEQregime #like_comp fleet phase value sizefreq_method 17 1 1 1 1 # confirms lambda =1 in first phase 17 1 4 .01 1 # reduces lambda to 0.01 beginning in phase 4 -9999 1 1 1 1 # terminator # # lambdas (for info only; columns are phases) # 0 #_CPUE/survey:_1 # 0 #_CPUE/survey:_2 # 0 #_CPUE/survey:_3 # 0 #_CPUE/survey:_4 # 0 #_CPUE/survey:_5 # 0 #_CPUE/survey:_6 # 0 #_CPUE/survey:_7 # 0 #_CPUE/survey:_8 # 0 #_CPUE/survey:_9 # 0 #_CPUE/survey:_10 # 0 #_CPUE/survey:_11 # 0 #_CPUE/survey:_12 # 0 #_CPUE/survey:_13 # 0 #_CPUE/survey:_14 # 0 #_CPUE/survey:_15 # 0 #_CPUE/survey:_16 # 0 #_CPUE/survey:_17 # 0 #_CPUE/survey:_18 # 0 #_CPUE/survey:_19 # 0 #_CPUE/survey:_20 # 0 #_CPUE/survey:_21 # 0 #_CPUE/survey:_22 # 0 #_CPUE/survey:_23 # 0 #_CPUE/survey:_24 # 0 #_CPUE/survey:_25 # 1 #_CPUE/survey:_26 # 1 #_CPUE/survey:_27 # 1 #_CPUE/survey:_28 # 1 #_CPUE/survey:_29 # 1 #_lencomp:_1 # 1 #_lencomp:_2 # 1 #_lencomp:_3 # 1 #_lencomp:_4 # 1 #_lencomp:_5 # 1 #_lencomp:_6 # 1 #_lencomp:_7 # 1 #_lencomp:_8 # 0 #_lencomp:_9 # 1 #_lencomp:_10 # 1 #_lencomp:_11 # 1 #_lencomp:_12 # 1 #_lencomp:_13 # 1 #_lencomp:_14 # 1 #_lencomp:_15 # 1 #_lencomp:_16 # 1 #_lencomp:_17 # 0 #_lencomp:_18 # 1 #_lencomp:_19 # 1 #_lencomp:_20 # 1 #_lencomp:_21 # 1 #_lencomp:_22 # 1 #_lencomp:_23 # 1 #_lencomp:_24 # 1 #_lencomp:_25 # 0 #_lencomp:_26 # 0 #_lencomp:_27 # 0 #_lencomp:_28 # 0 #_lencomp:_29 # 1 #_init_equ_catch # 1 #_recruitments # 1 #_parameter-priors # 1 #_parameter-dev-vectors # 1 #_TG-comp_group:_1 # 1 #_TG-comp_group:_2 # 1 #_TG-comp_group:_3 # 1 #_TG-comp_group:_4 # 1 #_TG-comp_group:_5 # 1 #_TG-comp_group:_6 # 1 #_TG-comp_group:_7 # 1 #_TG-comp_group:_8 # 1 #_TG-comp_group:_9 # 1 #_TG-comp_group:_10 # 1 #_TG-comp_group:_11 # 1 #_TG-comp_group:_12 # 1 #_TG-comp_group:_13 # 1 #_TG-comp_group:_14 # 1 #_TG-comp_group:_15 # 1 #_TG-comp_group:_16 # 1 #_TG-comp_group:_17 # 1 #_TG-comp_group:_18 # 1 #_TG-comp_group:_19 # 1 #_TG-comp_group:_20 # 1 #_TG-comp_group:_21 # 1 #_TG-comp_group:_22 # 1 #_TG-comp_group:_23 # 1 #_TG-comp_group:_24 # 1 #_TG-comp_group:_25 # 1 #_TG-comp_group:_26 # 1 #_TG-comp_group:_27 # 1 #_TG-comp_group:_28 # 1 #_TG-comp_group:_29 # 1 #_TG-comp_group:_30 # 1 #_TG-comp_group:_31 # 1 #_TG-comp_group:_32 # 1 #_TG-comp_group:_33 # 1 #_TG-comp_group:_34 # 1 #_TG-comp_group:_35 # 1 #_TG-comp_group:_36 # 1 #_TG-comp_group:_37 # 1 #_TG-comp_group:_38 # 1 #_TG-comp_group:_39 # 1 #_TG-comp_group:_40 # 1 #_TG-comp_group:_41 # 1 #_TG-comp_group:_42 # 1 #_TG-comp_group:_43 # 1 #_TG-comp_group:_44 # 1 #_TG-comp_group:_45 # 1 #_TG-comp_group:_46 # 1 #_TG-comp_group:_47 # 1 #_TG-comp_group:_48 # 1 #_TG-comp_group:_49 # 1 #_TG-comp_group:_50 # 1 #_TG-comp_group:_51 # 1 #_TG-comp_group:_52 # 1 #_TG-comp_group:_53 # 1 #_TG-comp_group:_54 # 1 #_TG-comp_group:_55 # 1 #_TG-comp_group:_56 # 1 #_TG-comp_group:_57 # 1 #_TG-comp_group:_58 # 1 #_TG-comp_group:_59 # 1 #_TG-comp_group:_60 # 1 #_TG-comp_group:_61 # 1 #_TG-comp_group:_62 # 1 #_TG-comp_group:_63 # 1 #_TG-comp_group:_64 # 1 #_TG-comp_group:_65 # 1 #_TG-comp_group:_66 # 1 #_TG-comp_group:_67 # 1 #_TG-comp_group:_68 # 1 #_TG-comp_group:_69 # 1 #_TG-comp_group:_70 # 1 #_TG-comp_group:_71 # 1 #_TG-comp_group:_72 # 1 #_TG-comp_group:_73 # 1 #_TG-comp_group:_74 # 1 #_TG-comp_group:_75 # 1 #_TG-comp_group:_76 # 1 #_TG-comp_group:_77 # 1 #_TG-comp_group:_78 # 1 #_TG-comp_group:_79 # 1 #_TG-comp_group:_80 # 1 #_TG-comp_group:_81 # 1 #_TG-comp_group:_82 # 1 #_TG-comp_group:_83 # 1 #_TG-comp_group:_84 # 1 #_TG-comp_group:_85 # 1 #_TG-comp_group:_86 # 1 #_TG-comp_group:_87 # 1 #_TG-comp_group:_88 # 1 #_TG-comp_group:_89 # 1 #_TG-comp_group:_90 # 1 #_TG-comp_group:_91 # 1 #_TG-comp_group:_92 # 1 #_TG-comp_group:_93 # 1 #_TG-comp_group:_94 # 1 #_TG-comp_group:_95 # 1 #_TG-comp_group:_96 # 1 #_TG-comp_group:_97 # 1 #_TG-comp_group:_98 # 1 #_TG-comp_group:_99 # 1 #_TG-comp_group:_100 # 1 #_TG-comp_group:_101 # 1 #_TG-comp_group:_102 # 1 #_TG-comp_group:_103 # 1 #_TG-comp_group:_104 # 1 #_TG-comp_group:_105 # 1 #_TG-comp_group:_106 # 1 #_TG-comp_group:_107 # 1 #_TG-comp_group:_108 # 1 #_TG-comp_group:_109 # 1 #_TG-comp_group:_110 # 1 #_TG-comp_group:_111 # 1 #_TG-comp_group:_112 # 1 #_TG-comp_group:_113 # 1 #_TG-comp_group:_114 # 1 #_TG-comp_group:_115 # 1 #_TG-comp_group:_116 # 1 #_TG-comp_group:_117 # 1 #_TG-comp_group:_118 # 1 #_TG-comp_group:_119 # 1 #_TG-comp_group:_120 # 1 #_TG-comp_group:_121 # 1 #_TG-comp_group:_122 # 1 #_TG-comp_group:_123 # 1 #_TG-comp_group:_124 # 1 #_TG-comp_group:_125 # 1 #_TG-comp_group:_126 # 1 #_TG-comp_group:_127 # 1 #_TG-comp_group:_128 # 1 #_TG-comp_group:_129 # 1 #_TG-comp_group:_130 # 1 #_TG-comp_group:_131 # 1 #_TG-negbin_group:_1 # 1 #_TG-negbin_group:_2 # 1 #_TG-negbin_group:_3 # 1 #_TG-negbin_group:_4 # 1 #_TG-negbin_group:_5 # 1 #_TG-negbin_group:_6 # 1 #_TG-negbin_group:_7 # 1 #_TG-negbin_group:_8 # 1 #_TG-negbin_group:_9 # 1 #_TG-negbin_group:_10 # 1 #_TG-negbin_group:_11 # 1 #_TG-negbin_group:_12 # 1 #_TG-negbin_group:_13 # 1 #_TG-negbin_group:_14 # 1 #_TG-negbin_group:_15 # 1 #_TG-negbin_group:_16 # 1 #_TG-negbin_group:_17 # 1 #_TG-negbin_group:_18 # 1 #_TG-negbin_group:_19 # 1 #_TG-negbin_group:_20 # 1 #_TG-negbin_group:_21 # 1 #_TG-negbin_group:_22 # 1 #_TG-negbin_group:_23 # 1 #_TG-negbin_group:_24 # 1 #_TG-negbin_group:_25 # 1 #_TG-negbin_group:_26 # 1 #_TG-negbin_group:_27 # 1 #_TG-negbin_group:_28 # 1 #_TG-negbin_group:_29 # 1 #_TG-negbin_group:_30 # 1 #_TG-negbin_group:_31 # 1 #_TG-negbin_group:_32 # 1 #_TG-negbin_group:_33 # 1 #_TG-negbin_group:_34 # 1 #_TG-negbin_group:_35 # 1 #_TG-negbin_group:_36 # 1 #_TG-negbin_group:_37 # 1 #_TG-negbin_group:_38 # 1 #_TG-negbin_group:_39 # 1 #_TG-negbin_group:_40 # 1 #_TG-negbin_group:_41 # 1 #_TG-negbin_group:_42 # 1 #_TG-negbin_group:_43 # 1 #_TG-negbin_group:_44 # 1 #_TG-negbin_group:_45 # 1 #_TG-negbin_group:_46 # 1 #_TG-negbin_group:_47 # 1 #_TG-negbin_group:_48 # 1 #_TG-negbin_group:_49 # 1 #_TG-negbin_group:_50 # 1 #_TG-negbin_group:_51 # 1 #_TG-negbin_group:_52 # 1 #_TG-negbin_group:_53 # 1 #_TG-negbin_group:_54 # 1 #_TG-negbin_group:_55 # 1 #_TG-negbin_group:_56 # 1 #_TG-negbin_group:_57 # 1 #_TG-negbin_group:_58 # 1 #_TG-negbin_group:_59 # 1 #_TG-negbin_group:_60 # 1 #_TG-negbin_group:_61 # 1 #_TG-negbin_group:_62 # 1 #_TG-negbin_group:_63 # 1 #_TG-negbin_group:_64 # 1 #_TG-negbin_group:_65 # 1 #_TG-negbin_group:_66 # 1 #_TG-negbin_group:_67 # 1 #_TG-negbin_group:_68 # 1 #_TG-negbin_group:_69 # 1 #_TG-negbin_group:_70 # 1 #_TG-negbin_group:_71 # 1 #_TG-negbin_group:_72 # 1 #_TG-negbin_group:_73 # 1 #_TG-negbin_group:_74 # 1 #_TG-negbin_group:_75 # 1 #_TG-negbin_group:_76 # 1 #_TG-negbin_group:_77 # 1 #_TG-negbin_group:_78 # 1 #_TG-negbin_group:_79 # 1 #_TG-negbin_group:_80 # 1 #_TG-negbin_group:_81 # 1 #_TG-negbin_group:_82 # 1 #_TG-negbin_group:_83 # 1 #_TG-negbin_group:_84 # 1 #_TG-negbin_group:_85 # 1 #_TG-negbin_group:_86 # 1 #_TG-negbin_group:_87 # 1 #_TG-negbin_group:_88 # 1 #_TG-negbin_group:_89 # 1 #_TG-negbin_group:_90 # 1 #_TG-negbin_group:_91 # 1 #_TG-negbin_group:_92 # 1 #_TG-negbin_group:_93 # 1 #_TG-negbin_group:_94 # 1 #_TG-negbin_group:_95 # 1 #_TG-negbin_group:_96 # 1 #_TG-negbin_group:_97 # 1 #_TG-negbin_group:_98 # 1 #_TG-negbin_group:_99 # 1 #_TG-negbin_group:_100 # 1 #_TG-negbin_group:_101 # 1 #_TG-negbin_group:_102 # 1 #_TG-negbin_group:_103 # 1 #_TG-negbin_group:_104 # 1 #_TG-negbin_group:_105 # 1 #_TG-negbin_group:_106 # 1 #_TG-negbin_group:_107 # 1 #_TG-negbin_group:_108 # 1 #_TG-negbin_group:_109 # 1 #_TG-negbin_group:_110 # 1 #_TG-negbin_group:_111 # 1 #_TG-negbin_group:_112 # 1 #_TG-negbin_group:_113 # 1 #_TG-negbin_group:_114 # 1 #_TG-negbin_group:_115 # 1 #_TG-negbin_group:_116 # 1 #_TG-negbin_group:_117 # 1 #_TG-negbin_group:_118 # 1 #_TG-negbin_group:_119 # 1 #_TG-negbin_group:_120 # 1 #_TG-negbin_group:_121 # 1 #_TG-negbin_group:_122 # 1 #_TG-negbin_group:_123 # 1 #_TG-negbin_group:_124 # 1 #_TG-negbin_group:_125 # 1 #_TG-negbin_group:_126 # 1 #_TG-negbin_group:_127 # 1 #_TG-negbin_group:_128 # 1 #_TG-negbin_group:_129 # 1 #_TG-negbin_group:_130 # 1 #_TG-negbin_group:_131 # 1 #_crashPenLambda # 1 # F_ballpark_lambda 0 # (0/1) read specs for more stddev reporting # 0 0 0 0 0 0 0 0 0 # placeholder for # selex_fleet, 1=len/2=age/3=both, year, N selex bins, 0 or Growth pattern, N growth ages, 0 or NatAge_area(-1 for all), NatAge_yr, N Natages # placeholder for vector of selex bins to be reported # placeholder for vector of growth ages to be reported # placeholder for vector of NatAges ages to be reported 999