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atfgoa.dat
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#Gulf of Alaska Arrowtooth flounder data
#(1 and 2) start year end year
61 113
#(3 and 4) start year and end year for future projections
114 118
# natural mortality for females, males
#(5) phase for F40
5
#(6) median recruits (1981 to 1999) to use for last years in model(this is half of total recruits(male+female))
#this makes it consistent with the projection model recruitment used
218000000.
#(7) nages for number of ages in the model (age 3 to 15+)
13
#(8) nages_read to read for observed age comps
21
#(9)fishery nselages- selectivity after nselages age set equal to selectivity at nselages age
9
#(10)survey nselages_srv1- selectivity after nselages age set equal to selectivity at nselages age
9
#(11)for monotonically increasing fishery selectivties with smoother 0 off 1 on
1
#(12) for monotonically increasing survey selectivties with smoother 0 off 1 on
0
#(13) phase for logistic selectivity curve fishery
4
#(14) phase for smooth selectivity curve fishery
4
#(15) phase for logistic selectivity curve survey
3
#(16) phase for smooth selectivity curve survey
-3
#(17) weights for smooth selectivity likelihoods 1 fishery female, 2 survey female, 3 fishery male, 4 survey male
10. 120. 40. 1.
# weights for constraint on monotonicity 1 fishery female, 2 fishery male, 3 survey female, 4 survey male
200. 100. 20000. 1000.
#(18) number of length bins
21
#(19) number of years of fishery data
33
#(20) years when have fishery data (same number as no yrs fishery data)
77 78 79 80 81 84 85 86 87 88 90 91 92 93 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113
#(21) nsamples weight for fish length comps needmatrix each year and sex (same number as no yrs fishery data)
167 200 200 200 200 200 67 21 159 39 37 400 36 127 76 200 200 200 200 200 200 200 200 200 200 200 200 200 200 200 200 200 200
167 200 200 200 200 200 67 21 159 39 37 400 36 127 76 200 200 71 200 200 200 200 200 200 200 200 200 200 200 200 200 200 200
#(22) number of years of survey data
15
#(23) years when have survey data
61 75 84 87 90 93 96 99 101 103 105 107 109 111 113
#(24) number of years of survey length data
3
#(25) years when have length data
#75 90 93 96 99 101 103 105 107
75 111 113
#(26) number of samples for each length comp by sex
200 200 200
200 200 200
#(27) number of years of survey age data
11
#(28) years when have survey age data
84 87 90 93 96 99 101 103 105 107 109
#(29) likelihood weights for fishery length data, survey length, age data, catch likelihood, survey biomass likelihood
# 1. 5.0 10.0 50.0 10.0
0.25 1.0 1.0 50.0 1.0
#(30) number of samples of survey age comp by sex
200 200 200 200 200 200 200 200 200 200 200
200 200 200 200 200 200 200 200 200 200 200
#(31) survey length data
#using only 1976 length comp now because have age comps for 84-96
#Females first for each year, then males for each year
#75 - use this years length data for 70's survey
#next line is bins the same as fishery data(1st bin is 22-23 cm bin lower bins are truncated)
#22 24 26 28 30 32 34 36 38 40 43 46 49 52 55 58 61 64 67 70 75+
559 491 534 568 514 513 541 548 454 450 360 313 265 167 116 75 42 38 24 16 1
#2011 survey females length
28890.201 28597.139 29844.393 42032.855 50646.241 47410.586 59384.38 68531.606 68167.752 114687.983 123836.531 142592.527 154576.236 182139.322 133624.816 78230.143 32536.872 14641.674 8363.296 7423.005 4033.207
#2013 survey females length
43488680 46682317 41151949 40407562 43154538 38055110 31072859 30945586 45657458 75477120 92009536 123224745 138100001 111007675 80152816 35905544 12842993 4735630 2104114 2974419 1678742
#75 males
#75 males binned same as fishery
407 357 438 529 525 520 524 443 322 263 102 18 5 3 2 1 1 0 0 0 0
#2011 survey males
21906.153 23974.007 32406.601 41270.929 35648.747 39741.751 49492.657 54397.384 68369.993 123478.232 109462.176 56109.264 14753.46 2080.489 275.286 75.685 41.149 0 29.928 38.964 0
#2013 survey males
27636850 29219918 32878074 31093541 32240541 26723618 29332105 37609506 47859125 101823592 109724020 68790059 29231723 3494559 1173059 72544 53742 16234 16234 0 0
#(32) survey age data 1 to 21+ - just have through 2009
#84 females
11 0 4929 8019 14163 21603 11672 7393 3135 2256 1593 1708 958 1134 3970 0 0 0 0 0 0
#87 females
0 1517 6175 7214 5540 6286 4111 9281 5487 2650 716 772 1330 209 234 0 0 0 0 0 0
#90 females
0 6070 11840 14044 24640 23937 14099 15859 9477 5219 8150 4960 2762 1602 1807 1385 2082 1314 455 0 349
#93 females
22 7837 9646 11011 9709 14278 13493 15779 18272 8396 3478 4116 2556 522 276 213 281 124 61 60 186
#96 females
62 7561 10965 13002 13153 16817 16918 13788 15068 16040 4352 2471 1710 1121 291 267 0 16 0 87 0
#1999
209 24425 25176 28396 15736 11685 10155 10789 7395 6343 6111 5734 2704 2633 1618 496 1004 105 296 0 406
#2001
409 54763 32190 42201 29339 15331 17447 9415 6765 6090 4822 3656 3321 4320 3004 2007 1435 461 319 238 296
#2003
4958 42382 44323 85509 80857 68163 42009 25357 16061 13095 9931 6604 5095 3525 3454 2857 1063 1814 625 712 537
#2005 pop numbers divided by 10000
669.362892 7695.0039 13674.0097 15779.6253 33226.319 35412.8195 35233.7075 19866.3868 7433.56423 4717.9808 6846.61371 4520.11704 2734.05321 2100.61262 2444.19915 2184.85833 788.953336 1148.14715 95.5666125 389.686666 0.7351
#2007
59.6771625 8810.89453 17260.7771 16940.6737 15622.2254 20421.5264 15652.0779 25527.8621 14407.0673 10234.4992 7569.95574 4669.58951 4750.65716 1759.54682 503.118062 3552.968 2272.4919 1196.50047 1079.25616 678.947095 1038.640589
#2009
194.48665 14462.4806 12354.783 24169.111 22530.426 17181.4838 17112.7897 12234.3838 11406.3952 16528.7778 5970.12311 4626.67144 2187.89439 2560.3093 1353.86004 2116.99115 1494.71505 795.15249 560.300379 330.458747 1242.392217
#survey age data males
#84 males
0 0 765 6031 7250 5532 6970 7425 5141 3713 3364 2273 1434 1204 2935 0 0 0 0 0 0
#87 males
0 0 6364 5460 6346 2843 1883 1916 357 0 542 809 273 273 0 0 0 0 0 0 0
#90 males
0 5426 7633 10598 11033 9546 9822 1456 5039 2744 2678 0 0 171 0 0 0 0 0 0 0
#93 males
9 5124 6208 3389 4276 10494 4794 4540 3207 566 764 899 484 0 0 227 0 68 0 206 268
#96 males
123 5086 6702 6852 7165 11217 5539 7761 2843 2104 2030 954 225 92 102 0 92 0 0 0 0
#1999
1078 15763 15474 14759 7389 3734 4134 3012 1937 1146 965 1613 362 123 321 0 345 0 0 0 0
#2001
868 29846 23443 20098 11336 6219 3389 3040 1384 1267 949 790 296 61 57 52 44 0 0 0 0
#2003
3635 24961 23918 48624 27264 18872 7060 4949 1620 2892 1566 1951 1283 164 1131 538 303 0 0 0 0
#2005 pop numbers divided by 10000
956.628563 4452.69781 12095.6726 10264.7294 11833.3156 23143.4787 7068.37565 2498.66669 2584.9571 2813.3809 1501.69426 1688.23417 683.058388 531.55295 478.848447 129.841067 91.1479333 38.43404 0 0 0
#2007
65.14025 4846.82217 10057.43 13197.4813 8689.07961 9951.2232 9779.57262 9031.98287 3791.31167 1907.67687 1686.4491 1939.08 1582.43054 1017.62298 1401.5372 642.183458 356.662155 133.15155 507.830647 418.443355 95.2394
#2009
435.148244 9825.11812 8280.95037 14808.5821 11091.5173 9682.52276 8352.35745 3113.77778 2886.52881 3054.59311 2073.87949 1437.68497 1106.85275 317.645633 756.841158 157.6984 464.83618 482.227667 52.6863 0 241.259
#
#(33) fishery length data
#length bins -20 bins 21 numbers to define bins
#22 24 26 28 30 32 34 36 38 40 43 46 49 52 55 58 61 64 67 70 75+
#females
#77
0 4 8 5 14 21 38 34 35 39 44 24 15 14 18 31 51 51 48 34 5
#78
0 6 21 77 111 128 254 224 197 352 521 359 316 195 220 172 169 85 52 39 6
#79
0 0 0 3 15 78 90 140 166 313 358 480 614 574 432 452 377 213 102 70 14
#80
0 0 6 16 21 40 57 116 149 223 198 178 205 304 270 204 174 108 52 24 10
#81
0 0 11 6 3 4 16 42 50 156 261 187 106 170 186 121 49 20 14 3 1
#84
0 5 9 16 47 51 82 130 179 395 420 355 524 484 333 291 428 655 597 309 48
#85
0 1 13 15 4 11 24 25 17 22 54 79 85 58 31 23 17 11 26 17 2
#86
0 0 0 0 2 2 2 1 2 14 16 10 11 9 12 6 19 18 17 12 0
#87
0 9 8 17 38 42 35 31 35 32 27 47 52 27 17 14 24 16 13 10 3
#88
0 1 2 0 6 8 10 9 25 19 14 13 7 5 5 3 4 1 1 0 1
#90
0 8 2 0 1 0 2 5 2 13 13 15 9 12 7 8 11 6 6 6 9
#91
0 8 13 17 31 35 39 53 71 123 211 392 619 712 672 462 368 342 201 229 144
#92
0 0 0 2 5 8 2 2 2 5 5 4 5 6 6 3 3 8 4 1 0
#93
0 1 3 6 7 7 6 14 35 23 40 49 21 13 13 5 5 3 0 0 0
#95
0 6 16 11 5 13 16 18 20 15 15 30 54 88 91 59 40 19 22 19 13
#96
3 0 2 7 18 17 33 34 53 100 99 63 74 51 53 25 37 34 45 50 102
#97
2 2 2 0 4 9 7 31 32 33 40 47 62 145 160 71 19 19 14 8 15
#98
0 0 0 4 2 0 6 3 9 12 20 23 22 25 19 13 11 10 8 4 1
#99
2 6 15 5 16 30 27 37 44 54 62 60 123 240 287 170 79 89 67 99 57
#2000
5 11 30 54 62 61 78 109 119 177 236 244 357 582 754 482 208 174 148 158 55
#2001
13 24 45 58 78 93 140 161 154 261 331 367 340 442 419 290 160 126 147 142 62
#2002
27.0 43.3 87.7 128.9 112.1 88.0 86.4 97.1 118.3 221.0 288.0 319.5 609.5 746.0 816.0 528.0 221.0 101.0 112.0 97.0 44.0
#2003 F
20 19 64 138 256 346 413 433 465 748 660 824 926 1214 1197 771 431 244 176 264 143
#2004 F
5 10 21 30 66 84 85 139 164 240 234 194 269 288 313 252 128 58 39 43 23
#2005 F
12 10 18 39 73 103 167 217 247 404 412 378 362 338 318 225 163 79 65 51 41
#2006
8 19 33 32 46 58 95 101 175 320 450 655 606 576 428 337 190 111 64 74 57
#2007
8 15 58 111 216 170 200 225 248 486 510 674 813 631 321 222 145 83 44 41 28
#2008
10 18 63 92 103 156 261 309 248 332 357 552 822 994 648 395 178 82 46 38 24
#2009
14 25 60 97 142 200 297 286 301 493 435 428 613 679 442 221 81 68 32 40 20
#2010
3 11 28 56 93 125 175 206 260 434 442 513 600 733 565 276 148 79 52 33 15
#2011
12 16 32 62 96 136 148 198 215 429 534 603 660 725 573 331 223 145 71 81 39
#2012
9 17 38 62 93 104 156 184 221 424 496 593 585 569 475 280 108 46 44 36 17
#2013
10 7 7 39 60 79 73 107 135 163 192 232 241 239 190 104 36 14 12 13 6
#males
#77
0 10 11 9 12 15 36 61 65 42 18 8 6 5 4 5 7 8 9 2 0
#78
0 3 33 39 31 59 147 402 586 492 131 48 11 3 1 0 0 1 0 0 0
#79
0 0 0 13 25 50 103 238 324 416 265 102 25 18 8 0 1 0 0 0 0
#80
0 1 8 14 13 33 77 240 340 262 117 57 18 0 0 0 0 0 0 0 0
#81
0 0 1 3 9 16 42 63 123 132 52 24 11 17 8 1 0 0 0 0 0
#84
0 2 12 21 44 44 108 213 271 335 250 167 91 74 49 42 27 25 13 3 0
#85
0 0 3 3 5 12 13 18 18 17 18 7 2 2 1 3 3 5 3 0 0
#86
0 0 1 0 1 0 1 2 9 16 8 3 0 0 0 0 0 0 0 0 0
#87
0 4 1 10 31 32 20 26 19 49 38 17 4 1 0 1 0 0 0 0 0
#88
0 0 0 0 1 1 5 8 20 15 7 3 3 6 3 0 2 0 0 1 2
#90
0 10 0 0 8 0 11 5 3 6 2 1 3 4 4 0 9 3 0 0 0
#91
0 5 14 22 18 39 45 49 79 194 317 205 69 20 7 13 5 4 8 5 2
#92
0 0 0 2 5 8 2 2 2 5 5 4 5 6 6 3 3 8 4 1 0
#93
0 0 7 7 11 8 14 26 19 25 28 31 36 29 26 24 15 19 14 2 5
#95
0 2 5 5 8 6 3 6 5 10 26 38 27 2 1 3 3 0 0 0 0
#96
3 3 8 6 7 9 16 12 22 20 11 7 10 9 1 0 0 0 0 1 0
#97
1 0 5 15 22 40 33 14 14 22 22 62 38 24 11 5 2 3 0 0 0
#98
0 0 0 0 0 1 1 5 4 8 16 16 13 2 2 1 1 1 0 0 0
#99
2 11 14 15 31 24 29 43 44 79 132 131 100 59 43 40 36 39 36 35 9
#2000
6 16 45 59 66 104 95 115 113 221 278 306 264 110 63 59 44 31 25 26 3
#2001
14 32 42 45 71 102 122 154 177 283 249 269 155 64 44 24 6 7 11 7 9
#2002
9.0 18.7 51.3 88.1 93.9 93.0 87.6 110.9 130.7 231.0 293.0 270.5 203.5 95.0 62.0 40.0 25.0 13.0 11.0 4.0 6.0
#2003 M
12 26 75 116 238 294 375 430 469 677 814 791 455 210 123 73 36 10 10 18 8
#2004 M
4 8 25 13 38 71 99 131 176 259 157 150 123 50 39 18 15 7 2 5 1
#2005 M
4 8 23 41 67 114 148 236 215 323 242 207 126 47 30 24 19 9 3 4 2
#2006
11 13 20 24 58 68 119 141 197 453 326 192 127 69 50 53 43 14 7 6 0
#2007
12 22 53 122 206 182 201 197 228 479 481 287 227 103 41 17 18 9 2 4 3
#2008
18 19 72 66 89 187 279 267 252 438 512 398 300 208 86 47 15 9 6 2 3
#2009
7 20 39 114 171 233 268 309 320 436 350 269 143 91 42 26 10 3 3 10 2
#2010
7 33 41 59 76 142 194 204 239 337 272 228 157 115 80 31 8 9 1 2 2
#2011
15 18 36 104 104 131 188 213 320 599 636 523 339 245 152 75 64 18 12 10 5
#2012
6 8 25 49 83 118 153 182 208 411 417 406 269 128 74 44 23 11 10 3 3
#2013
10 9 10 58 82 82 82 128 118 220 200 177 95 47 28 12 6 3 1 1 0
#(34) fishery catch 1964-2000 - set 61-63 same as 64
514
514
514
514
514
2469
2276
1697
1315
1886
1185
4477
10007
4883
2776
3045
9449
8409
7579
7848
7433
4639
6331
3457
1539
1221
4963
5138
2584
7706
10034
15970
15559
23560
18428
22583
16319
12975
16207
24252
#2001
19964
#2002
21231
#2003
29994
#2004
15304
#2005
19770
#2006
27653
#2007
25494
#2008
29293
#2009
24937
#2010
24268
#2011
30903
#2012
20713
#2013 through Oct 13 true value is 16681 I am projecting it to be 21000
21000
#(35) survey biomass tons 61,73,84,87,90,93,96,99,2001,2003,2005, 2007, 2009,2011, 2013
# these are the new updated new strata values after 2003
# abundance 456916 divided by 1.61 ratio of net efficiency from Brown in prep
# 400 mesh eastern to current triennial net for arrowtooth.
283799
#249137
145744
1112215
931598
1907177
1551657
1639632
1262151
#2001 survey biomass is 1369949 (west and central) plus the average of the 1993-96 surveys
#(251943)for the eastern part since the eastern part was not surveyed in 2001-this one not updated after change in strata in 2003
1621892
#2003
2819095
#2005
1899778
#2007
1939055
#2009
1772029.3
#2011
1747338.6
#2013
#1290727.1
1290727.1
#(36) survey biomass standard deviations 61,73,84,87,90,93,96,99,2001
# 38183 st. dev estimated assuming a cv of 0.2 for the net efficiency estimate
# Brown does not present a variance estimate
61515
# 20773
33531
71209
74673
239150
101160
114792
99329
#expanded up from cv - se for west and central part(2001 survey) = 150694
178408
#2003
372326
#2005
125788
#2007
150059
#2009
159402.0341
#2011
179800.5533
#2013
130348.7
#(37) female wt at ages 1-21 kg from 1993 and 96 survey
#0.018 0.070 0.157 0.279 0.436 0.626 0.852 1.111 1.405 1.733 2.095 2.492 2.922 3.387 3.886 4.419 4.986 5.588 6.223 6.892 7.596
#female wt at ages 3-15 kg from 1993 and 96 survey
#0.157 0.279 0.436 0.626 0.852 1.111 1.405 1.733 2.095 2.492 2.922 3.387 5.400
#female wt at ages 3-15 in kg from 1984-2005 mean length at age and weight length a=3.915x10-6, b=3.2232
# last bin is a weighted average of 15-22 age bins accounting for M
0.1667 0.2959 0.4606 0.6558 0.8752 1.1127 1.3623 1.6185 1.8768 2.1331 2.3843 2.6280 3.37
#male wt at ages 1-21 kg from 1993-96 survey
#0.024 0.076 0.149 0.240 0.347 0.469 0.605 0.755 0.917 1.091 1.277 1.474 1.682 1.901 2.131 2.370 2.620 2.879 3.148 3.426 3.713
#using mean length at age for 84-2005 and weight length a=3.915x10-6, b=3.2232
0.1646 0.2760 0.3944 0.5097 0.6158 0.7097 0.7906 0.8588 0.9155 0.9621 1.0000 1.0307 1.0554
#male wt at ages 3-15 kg from 1993-96 survey
#0.149 0.240 0.347 0.469 0.605 0.755 0.917 1.091 1.277 1.474 1.682 1.901 2.790
#(38) maturity at ages 3-15 - updated using mean length at age 1984-2005 data
#0.002 0.009 0.042 0.153 0.392 0.670 0.851 0.936 0.971 0.986 0.993 0.996 1.000
#
0.001 0.004 0.021 0.095 0.302 0.608 0.830 0.932 0.972 0.988 0.994 0.997 1.000
#(39) female length-age transition matrix ages 3-15 and lengths 22.5-85 (midpoints of bins)
0.242 0.438 0.269 0.048 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.001 0.013 0.092 0.278 0.360 0.202 0.049 0.005 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.001 0.012 0.065 0.193 0.308 0.287 0.120 0.013 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.002 0.016 0.065 0.196 0.372 0.275 0.067 0.006 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.001 0.006 0.032 0.145 0.335 0.322 0.134 0.024 0.002 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.004 0.028 0.131 0.289 0.319 0.174 0.047 0.006 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.005 0.035 0.129 0.266 0.301 0.187 0.064 0.012 0.001 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.009 0.045 0.140 0.256 0.279 0.181 0.071 0.016 0.002 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.002 0.015 0.062 0.158 0.253 0.257 0.167 0.066 0.018 0.002 0.000
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.006 0.027 0.086 0.179 0.250 0.235 0.141 0.061 0.014 0.001
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.002 0.012 0.045 0.115 0.200 0.246 0.201 0.126 0.046 0.005
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.006 0.025 0.072 0.147 0.219 0.226 0.187 0.098 0.019
0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.001 0.004 0.016 0.046 0.103 0.168 0.240 0.263 0.159
#male length at age transition matrix
0.244 0.439 0.267 0.048 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.002 0.026 0.147 0.341 0.328 0.132 0.022 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.001 0.008 0.052 0.181 0.318 0.282 0.134 0.024 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.005 0.033 0.120 0.250 0.328 0.218 0.043 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.001 0.006 0.033 0.109 0.255 0.364 0.196 0.034 0.002 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.002 0.010 0.044 0.144 0.329 0.328 0.123 0.018 0.001 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.001 0.004 0.020 0.080 0.244 0.362 0.222 0.060 0.007 0.000 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.002 0.011 0.048 0.175 0.336 0.288 0.115 0.022 0.002 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.001 0.007 0.032 0.130 0.295 0.317 0.168 0.044 0.006 0.000 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.001 0.005 0.024 0.102 0.257 0.321 0.208 0.069 0.012 0.001 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.001 0.004 0.019 0.084 0.227 0.315 0.234 0.094 0.020 0.002 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.001 0.003 0.016 0.073 0.204 0.304 0.251 0.115 0.029 0.004 0.000 0.000 0.000 0.000 0.000
0.000 0.000 0.000 0.000 0.000 0.001 0.003 0.015 0.065 0.187 0.292 0.260 0.132 0.038 0.006 0.001 0.000 0.000 0.000 0.000
#matrix from length at age estimated from synthesis model from 77 to 84 size at
#age data
#0.0196 0.9088 0.0696 0.0020 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0138 0.1296 0.3852 0.3580 0.1039 0.0092 0.0002 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0002 0.0053 0.0528 0.2163 0.3701 0.2653 0.0824 0.0074 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0003 0.0043 0.0359 0.1471 0.3439 0.3646 0.0985 0.0054 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0005 0.0057 0.0459 0.2379 0.4409 0.2320 0.0356 0.0016 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0001 0.0017 0.0253 0.1720 0.3942 0.3128 0.0857 0.0080 0.0002 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0013 0.0221 0.1417 0.3509 0.3381 0.1266 0.0183 0.0010 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0001 0.0018 0.0241 0.1368 0.3285 0.3350 0.1451 0.0267 0.0019 0.0001 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0001 0.0029 0.0312 0.1493 0.3236 0.3186 0.1436 0.0279 0.0026 0.0001 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0003 0.0055 0.0453 0.1762 0.3278 0.2956 0.1222 0.0254 0.0016 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0009 0.0112 0.0697 0.2150 0.3362 0.2517 0.1009 0.0144 0.0000
##0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0006 0.0072 0.0471 0.1667 0.2990 0.3190 0.1598 0.0006
#male length-age transition matrix ages 3-15 and lengths 17-85 (midpoints of bins)
#0.1077 0.8858 0.0065 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.1782 0.4447 0.3163 0.0581 0.0027 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0014 0.0264 0.1751 0.3967 0.3097 0.0830 0.0075 0.0002 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0003 0.0074 0.0677 0.2503 0.3774 0.2325 0.0602 0.0043 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0002 0.0040 0.0386 0.1685 0.3345 0.3284 0.1177 0.0079 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0002 0.0037 0.0329 0.1420 0.3440 0.3718 0.1001 0.0053 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0004 0.0052 0.0383 0.1766 0.4255 0.3019 0.0502 0.0020 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0008 0.0092 0.0683 0.3011 0.4372 0.1660 0.0169 0.0004 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0002 0.0023 0.0245 0.1719 0.4322 0.3041 0.0614 0.0035 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0006 0.0090 0.0908 0.3515 0.3983 0.1357 0.0137 0.0004 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0002 0.0035 0.0477 0.2609 0.4307 0.2206 0.0347 0.0016 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0001 0.0015 0.0258 0.1871 0.4183 0.2964 0.0662 0.0046 0.0001 0.0000 0.0000 0.0000 0.0000 0.0000
#0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000 0.0007 0.0146 0.1338 0.3834 0.3531 0.1043 0.0097 0.0003 0.0000 0.0000 0.0000 0.0000 0.0000
#(40) This is a small number in the multinomial likelihood to make up for zero values
0.003