Appendix C. Model-averaged estimates of age-specific mortality, survivorship, net reproductive rate, life expectancy, population age distribution (live animals), and death distribution.
| TABLE C1. Model averaged estimates (medians and 90% Bayesian credible limits) of natural mortality, bycatch mortality and total mortality, from models 1 and 2. Median qtot(t)’s were calculated from qtot(t) estimates at each MCMC sample, rather than as the sum of median qnat(t) and median qbyc(t). Right-skewed posterior distributions and correlations between qnat(t) and qbyc(t) result in median values of qtot(t) that are slightly larger than the sum of medians from constituent mortality types. | |||||||||
Age |
qnat(t) |
5% CL |
95% CL |
qbyc(t) |
5% CL |
95% CL |
qtot(t) |
5% CL |
95% CL |
0 |
0.400 |
0.180 |
0.592 |
0.045 |
0.007 |
0.236 |
0.469 |
0.306 |
0.642 |
1 |
0.130 |
0.040 |
0.255 |
0.097 |
0.018 |
0.267 |
0.249 |
0.131 |
0.387 |
2 |
0.079 |
0.022 |
0.153 |
0.100 |
0.020 |
0.269 |
0.185 |
0.091 |
0.351 |
3 |
0.066 |
0.018 |
0.132 |
0.084 |
0.018 |
0.230 |
0.153 |
0.071 |
0.316 |
4 |
0.064 |
0.018 |
0.133 |
0.068 |
0.015 |
0.190 |
0.136 |
0.061 |
0.288 |
5 |
0.067 |
0.019 |
0.138 |
0.055 |
0.012 |
0.158 |
0.125 |
0.055 |
0.266 |
6 |
0.073 |
0.022 |
0.146 |
0.045 |
0.010 |
0.130 |
0.120 |
0.052 |
0.252 |
7 |
0.081 |
0.026 |
0.156 |
0.036 |
0.008 |
0.109 |
0.118 |
0.051 |
0.245 |
8 |
0.090 |
0.031 |
0.169 |
0.030 |
0.007 |
0.093 |
0.120 |
0.053 |
0.246 |
9 |
0.101 |
0.038 |
0.187 |
0.025 |
0.006 |
0.079 |
0.127 |
0.056 |
0.253 |
10 |
0.115 |
0.047 |
0.210 |
0.020 |
0.005 |
0.068 |
0.135 |
0.062 |
0.268 |
11 |
0.131 |
0.058 |
0.241 |
0.017 |
0.004 |
0.059 |
0.148 |
0.071 |
0.289 |
12 |
0.149 |
0.074 |
0.277 |
0.015 |
0.003 |
0.052 |
0.165 |
0.084 |
0.321 |
13 |
0.170 |
0.093 |
0.324 |
0.012 |
0.003 |
0.046 |
0.184 |
0.101 |
0.360 |
14 |
0.195 |
0.115 |
0.378 |
0.011 |
0.002 |
0.042 |
0.207 |
0.122 |
0.409 |
15 |
0.224 |
0.140 |
0.444 |
0.009 |
0.002 |
0.037 |
0.235 |
0.146 |
0.470 |
16 |
0.261 |
0.166 |
0.514 |
0.008 |
0.002 |
0.034 |
0.271 |
0.171 |
0.538 |
17 |
0.302 |
0.189 |
0.591 |
0.007 |
0.001 |
0.031 |
0.311 |
0.193 |
0.611 |
18 |
0.349 |
0.210 |
0.671 |
0.006 |
0.001 |
0.028 |
0.356 |
0.214 |
0.685 |
19 |
0.398 |
0.230 |
0.745 |
0.005 |
0.001 |
0.026 |
0.407 |
0.234 |
0.759 |
20 |
0.452 |
0.249 |
0.810 |
0.005 |
0.001 |
0.024 |
0.459 |
0.254 |
0.820 |
21 |
0.508 |
0.269 |
0.861 |
0.004 |
0.001 |
0.022 |
0.514 |
0.272 |
0.870 |
22 |
0.563 |
0.288 |
0.903 |
0.004 |
0.001 |
0.020 |
0.570 |
0.292 |
0.910 |
23 |
0.619 |
0.308 |
0.933 |
0.003 |
0.001 |
0.018 |
0.624 |
0.312 |
0.939 |
24 |
0.671 |
0.330 |
0.954 |
0.003 |
0.001 |
0.017 |
0.676 |
0.333 |
0.959 |
TABLE C2. Model averaged estimates (medians and 90% Bayesian credible limits) of natural and actual (natural + bycatch) survivorship, from models 1 and 2. |
||||||
Age |
lnat(t) |
5% CL |
95% CL |
ltot(t) |
5% CL |
95% CL |
0 |
1.000 |
1.000 |
1.000 |
1.000 |
1.000 |
1.000 |
1 |
0.600 |
0.408 |
0.820 |
0.531 |
0.358 |
0.694 |
2 |
0.509 |
0.340 |
0.752 |
0.392 |
0.246 |
0.575 |
3 |
0.465 |
0.309 |
0.701 |
0.315 |
0.172 |
0.509 |
4 |
0.430 |
0.289 |
0.665 |
0.264 |
0.125 |
0.462 |
5 |
0.398 |
0.270 |
0.632 |
0.227 |
0.092 |
0.423 |
6 |
0.366 |
0.251 |
0.603 |
0.198 |
0.070 |
0.394 |
7 |
0.336 |
0.231 |
0.575 |
0.174 |
0.054 |
0.367 |
8 |
0.307 |
0.208 |
0.546 |
0.153 |
0.042 |
0.342 |
9 |
0.277 |
0.182 |
0.517 |
0.135 |
0.032 |
0.318 |
10 |
0.247 |
0.155 |
0.486 |
0.118 |
0.025 |
0.297 |
11 |
0.218 |
0.128 |
0.451 |
0.102 |
0.018 |
0.273 |
12 |
0.187 |
0.102 |
0.412 |
0.087 |
0.013 |
0.248 |
13 |
0.157 |
0.078 |
0.371 |
0.072 |
0.009 |
0.223 |
14 |
0.129 |
0.056 |
0.325 |
0.058 |
0.006 |
0.196 |
15 |
0.102 |
0.036 |
0.277 |
0.045 |
0.004 |
0.168 |
16 |
0.078 |
0.021 |
0.227 |
0.034 |
0.002 |
0.137 |
17 |
0.057 |
0.011 |
0.179 |
0.025 |
0.001 |
0.107 |
18 |
0.040 |
0.005 |
0.134 |
0.017 |
0.000 |
0.080 |
19 |
0.027 |
0.002 |
0.095 |
0.011 |
0.000 |
0.056 |
20 |
0.017 |
0.000 |
0.063 |
0.007 |
0.000 |
0.038 |
21 |
0.010 |
0.000 |
0.040 |
0.004 |
0.000 |
0.024 |
22 |
0.005 |
0.000 |
0.024 |
0.002 |
0.000 |
0.015 |
23 |
0.002 |
0.000 |
0.014 |
0.001 |
0.000 |
0.009 |
24 |
0.001 |
0.000 |
0.009 |
0.000 |
0.000 |
0.005 |
TABLE C3. Model averaged estimates (medians and 90% Bayesian credible limits) of natural and actual (natural + bycatch) net reproductive rate (expected number of female calves an adult female of age t will have during the remainder of her life), from models 1 and 2. |
||||||
Age |
Rnat(t) |
5% CL |
95% CL |
Rtot(t) |
5% CL |
95% CL |
0 |
1.5 |
1.0 |
2.8 |
0.8 |
0.2 |
1.8 |
1 |
2.6 |
1.6 |
4.2 |
1.5 |
0.4 |
2.9 |
2 |
3.1 |
1.9 |
4.7 |
2.0 |
0.7 |
3.5 |
3 |
3.4 |
2.2 |
4.9 |
2.5 |
1.1 |
4.0 |
4 |
3.6 |
2.4 |
5.1 |
2.9 |
1.5 |
4.3 |
5 |
3.5 |
2.4 |
4.9 |
3.0 |
1.7 |
4.3 |
6 |
3.3 |
2.3 |
4.6 |
2.9 |
1.7 |
4.1 |
7 |
3.1 |
2.1 |
4.2 |
2.8 |
1.7 |
3.9 |
8 |
2.9 |
1.9 |
3.9 |
2.6 |
1.6 |
3.7 |
9 |
2.7 |
1.8 |
3.6 |
2.5 |
1.5 |
3.4 |
10 |
2.5 |
1.6 |
3.3 |
2.3 |
1.4 |
3.1 |
11 |
2.3 |
1.4 |
3.0 |
2.1 |
1.3 |
2.9 |
12 |
2.1 |
1.3 |
2.7 |
2.0 |
1.2 |
2.7 |
13 |
1.9 |
1.1 |
2.5 |
1.8 |
1.1 |
2.4 |
14 |
1.7 |
1.0 |
2.3 |
1.6 |
1.0 |
2.2 |
15 |
1.5 |
0.9 |
2.1 |
1.5 |
0.9 |
2.1 |
16 |
1.4 |
0.8 |
1.9 |
1.3 |
0.8 |
1.9 |
17 |
1.2 |
0.7 |
1.8 |
1.2 |
0.7 |
1.8 |
18 |
1.1 |
0.6 |
1.6 |
1.1 |
0.6 |
1.6 |
19 |
1.0 |
0.6 |
1.5 |
1.0 |
0.6 |
1.5 |
20 |
0.9 |
0.6 |
1.4 |
0.9 |
0.5 |
1.4 |
21 |
0.8 |
0.5 |
1.2 |
0.8 |
0.5 |
1.2 |
22 |
0.7 |
0.5 |
1.0 |
0.7 |
0.5 |
1.0 |
23 |
0.6 |
0.5 |
0.8 |
0.6 |
0.5 |
0.8 |
24 |
0.5 |
0.4 |
0.5 |
0.5 |
0.4 |
0.5 |
TABLE C4. Model averaged estimates (medians and 90% Bayesian credible limits) of natural and actual (natural + bycatch) life expectancy from models 1 and 2. |
||||||
Age |
LEnat(t) |
5% CL |
95% CL |
LEtot(t) |
5% CL |
95% CL |
0 |
5.5 |
4.1 |
8.9 |
3.5 |
1.9 |
6.3 |
1 |
8.1 |
5.8 |
11.9 |
5.3 |
2.6 |
8.8 |
2 |
8.5 |
5.8 |
12.0 |
5.9 |
2.8 |
9.3 |
3 |
8.2 |
5.5 |
11.5 |
6.1 |
3.1 |
9.4 |
4 |
7.7 |
5.2 |
10.9 |
6.2 |
3.2 |
9.2 |
5 |
7.2 |
4.9 |
10.2 |
6.0 |
3.3 |
8.9 |
6 |
6.7 |
4.5 |
9.4 |
5.8 |
3.3 |
8.5 |
7 |
6.2 |
4.1 |
8.7 |
5.6 |
3.2 |
8.0 |
8 |
5.8 |
3.8 |
8.0 |
5.2 |
3.0 |
7.4 |
9 |
5.3 |
3.4 |
7.3 |
4.9 |
2.9 |
6.9 |
10 |
4.8 |
3.0 |
6.6 |
4.5 |
2.6 |
6.3 |
11 |
4.4 |
2.7 |
6.0 |
4.2 |
2.4 |
5.8 |
12 |
4.0 |
2.3 |
5.4 |
3.8 |
2.1 |
5.2 |
13 |
3.6 |
2.0 |
4.8 |
3.4 |
1.9 |
4.7 |
14 |
3.2 |
1.7 |
4.4 |
3.1 |
1.6 |
4.3 |
15 |
2.8 |
1.5 |
4.0 |
2.7 |
1.4 |
3.9 |
16 |
2.5 |
1.3 |
3.6 |
2.4 |
1.2 |
3.6 |
17 |
2.2 |
1.1 |
3.3 |
2.1 |
1.1 |
3.3 |
18 |
1.9 |
0.9 |
3.0 |
1.9 |
0.9 |
3.0 |
19 |
1.7 |
0.8 |
2.7 |
1.7 |
0.8 |
2.6 |
20 |
1.5 |
0.7 |
2.3 |
1.4 |
0.7 |
2.3 |
21 |
1.2 |
0.7 |
1.9 |
1.2 |
0.6 |
1.9 |
22 |
1.0 |
0.6 |
1.5 |
1.0 |
0.6 |
1.5 |
23 |
0.7 |
0.5 |
0.8 |
0.7 |
0.5 |
0.8 |
24 |
5.5 |
4.1 |
8.9 |
3.5 |
1.9 |
6.3 |
TABLE C5. Model averaged estimates (medians and 90% Bayesian credible limits) of population age structure from models 1 and 2. fnat(t) is for an unexploited population. ftot(t) is for a population impacted by bycatch. Sum of age-specific medians is ~ 1. |
||||||
Age |
fnat(t) |
5% CL |
95% CL |
ftot(t) |
5% CL |
95% CL |
0 |
0.211 |
0.186 |
0.234 |
0.216 |
0.197 |
0.239 |
1 |
0.121 |
0.092 |
0.144 |
0.120 |
0.091 |
0.141 |
2 |
0.097 |
0.076 |
0.122 |
0.093 |
0.070 |
0.111 |
3 |
0.085 |
0.068 |
0.104 |
0.077 |
0.059 |
0.091 |
4 |
0.075 |
0.062 |
0.088 |
0.067 |
0.052 |
0.078 |
5 |
0.066 |
0.057 |
0.076 |
0.059 |
0.047 |
0.067 |
6 |
0.059 |
0.052 |
0.065 |
0.053 |
0.043 |
0.059 |
7 |
0.051 |
0.047 |
0.056 |
0.047 |
0.040 |
0.053 |
8 |
0.044 |
0.040 |
0.050 |
0.042 |
0.037 |
0.048 |
9 |
0.038 |
0.033 |
0.045 |
0.038 |
0.034 |
0.045 |
10 |
0.033 |
0.026 |
0.040 |
0.034 |
0.029 |
0.042 |
11 |
0.028 |
0.020 |
0.035 |
0.031 |
0.025 |
0.039 |
12 |
0.023 |
0.015 |
0.030 |
0.027 |
0.020 |
0.036 |
13 |
0.019 |
0.010 |
0.026 |
0.023 |
0.016 |
0.033 |
14 |
0.015 |
0.007 |
0.022 |
0.019 |
0.012 |
0.029 |
15 |
0.011 |
0.004 |
0.018 |
0.015 |
0.009 |
0.025 |
16 |
0.008 |
0.002 |
0.015 |
0.012 |
0.006 |
0.021 |
17 |
0.006 |
0.001 |
0.011 |
0.009 |
0.003 |
0.017 |
18 |
0.004 |
0.000 |
0.009 |
0.006 |
0.001 |
0.014 |
19 |
0.002 |
0.000 |
0.006 |
0.004 |
0.001 |
0.011 |
20 |
0.001 |
0.000 |
0.005 |
0.002 |
0.000 |
0.008 |
21 |
0.001 |
0.000 |
0.003 |
0.001 |
0.000 |
0.006 |
22 |
0.000 |
0.000 |
0.002 |
0.001 |
0.000 |
0.004 |
23 |
0.000 |
0.000 |
0.002 |
0.000 |
0.000 |
0.003 |
24 |
0.000 |
0.000 |
0.001 |
0.000 |
0.000 |
0.002 |
TABLE C6. Model averaged estimates (medians and 90% Bayesian credible limits) of death (strandings) age structure from models 1 and 2. Pnat(t) is for an unexploited population. Ptot(t) is for a population impacted by bycatch. Sum of age-specific medians is ~ 1. |
||||||
Age |
Pnat(t) |
5% CL |
95% CL |
Ptot(t) |
5% CL |
95% CL |
0 |
0.503 |
0.256 |
0.690 |
0.336 |
0.267 |
0.422 |
1 |
0.096 |
0.031 |
0.162 |
0.164 |
0.129 |
0.198 |
2 |
0.047 |
0.013 |
0.090 |
0.116 |
0.087 |
0.145 |
3 |
0.033 |
0.009 |
0.075 |
0.082 |
0.058 |
0.101 |
4 |
0.028 |
0.008 |
0.067 |
0.060 |
0.042 |
0.073 |
5 |
0.026 |
0.008 |
0.061 |
0.045 |
0.032 |
0.055 |
6 |
0.025 |
0.008 |
0.055 |
0.035 |
0.025 |
0.043 |
7 |
0.024 |
0.009 |
0.051 |
0.028 |
0.020 |
0.035 |
8 |
0.024 |
0.009 |
0.046 |
0.023 |
0.017 |
0.029 |
9 |
0.023 |
0.010 |
0.042 |
0.019 |
0.014 |
0.025 |
10 |
0.022 |
0.011 |
0.038 |
0.016 |
0.012 |
0.021 |
11 |
0.021 |
0.012 |
0.034 |
0.014 |
0.010 |
0.019 |
12 |
0.020 |
0.013 |
0.031 |
0.012 |
0.008 |
0.017 |
13 |
0.018 |
0.013 |
0.029 |
0.010 |
0.006 |
0.016 |
14 |
0.016 |
0.012 |
0.026 |
0.009 |
0.005 |
0.014 |
15 |
0.014 |
0.010 |
0.023 |
0.008 |
0.003 |
0.013 |
16 |
0.012 |
0.007 |
0.019 |
0.006 |
0.002 |
0.011 |
17 |
0.010 |
0.004 |
0.016 |
0.005 |
0.001 |
0.009 |
18 |
0.007 |
0.002 |
0.013 |
0.003 |
0.001 |
0.008 |
19 |
0.005 |
0.001 |
0.010 |
0.002 |
0.000 |
0.006 |
20 |
0.003 |
0.000 |
0.008 |
0.001 |
0.000 |
0.005 |
21 |
0.002 |
0.000 |
0.005 |
0.001 |
0.000 |
0.003 |
22 |
0.001 |
0.000 |
0.004 |
0.000 |
0.000 |
0.002 |
23 |
0.000 |
0.000 |
0.003 |
0.000 |
0.000 |
0.002 |
24 |
0.000 |
0.000 |
0.002 |
0.000 |
0.000 |
0.001 |