Populations and reporting groups used as baseline for Puget Sound Chinook salmon individual assignment and mixture modeling for inferring group-specific BKD infection rates.

<p>Populations and reporting groups used as baseline for Puget Sound Chinook salmon individual assignment and mixture modeling for inferring group-specific BKD infection rates.</p

Estimated fecundity parameters of intercept (<i>β₀</i>), slope (<i>β₁</i>), and standard deviation (<i>σ</i>) for three reporting groups of Yukon River Chinook salmon obtained using individual assignment (IA) and Bayesian mixture modeling (BMM), with standard errors (SE) and either 95% confidence or probability intervals (CI or PI).

<p>Estimated fecundity parameters of intercept (<i>β₀</i>), slope (<i>β₁</i>), and standard deviation (<i>σ</i>) for three reporting groups of Yukon River Chinook salmon obtained using individual assignment (IA) and Bayesian mixture modeling (BMM), with standard errors (SE) and either 95% confidence or probability intervals (CI or PI).</p

Estimated linear regression models of mean Yukon River Chinook salmon fecundity versus fish length for three reporting groups, (A) Upper, (B) Middle, and (C) Lower, based on the Bayesian mixture model (solid line) and individual assignments (dashed line).

<p>Estimated linear regression models of mean Yukon River Chinook salmon fecundity versus fish length for three reporting groups, (A) Upper, (B) Middle, and (C) Lower, based on the Bayesian mixture model (solid line) and individual assignments (dashed line).</p

Boxplots of the estimated BKD prevalence rates for the 25 simulations of the negative case in Groups (A) 1, (B) 2, (C) 3, (D) 4, (E) 5, and (F) 6, using the individual assignment method and minimum assignment probability thresholds from 0.5 to 0.9.

<p>BMM represents the Bayesian mixture model, and the X marks the mean estimate. The solid line indicates the true BKD prevalence rate. Note the scales of the y axes vary.</p

Similar stock-specific estimates of BKD prevalence were obtained using individual assignment (0.8 probability threshold) and Bayesian mixture modeling for reanalysis of Puget Sound Chinook salmon juvenile mixtures.

<p>Brackets are shown for confidence and probability intervals (95%).</p

Estimates of stock-specific BKD prevalence in Puget Sound Chinook salmon population groups from two different methods, with standard errors (SE), and either 95% confidence or probability intervals (CI or PI).

1<p>300 of 373 individuals satisfied the 0.8 MAP threshold and were included in the trait inference analysis (20% discarded).</p

At higher levels of confidence in individual assignment (high posterior probability of group membership), more simulated individuals were correctly classified, but fewer of them met the threshold for inclusion in the analysis, and sample size for trait estimation declined.

<p>At higher levels of confidence in individual assignment (high posterior probability of group membership), more simulated individuals were correctly classified, but fewer of them met the threshold for inclusion in the analysis, and sample size for trait estimation declined.</p

Average pair-wise <i>F</i>_ST values and BKD infection rates among reporting groups used in the simulations.

<p><b>In the positive case, genetically similar groups have similar infection rates, whereas in the negative case genetically similar groups have dissimilar BKD infection rates.</b></p

Appendix A. Definitions of covariates and covariate combinations (groups) used to model survival and recapture probabilities of southern Beaufort Sea polar bears.

Definitions of covariates and covariate combinations (groups) used to model survival and recapture probabilities of southern Beaufort Sea polar bears

Appendix F. The covariate Cap-procliv used to model heterogeneous recapture probabilities of southern Beaufort Sea polar bears.

The covariate Cap-procliv used to model heterogeneous recapture probabilities of southern Beaufort Sea polar bears