Estimating correlations among demographic parameters in population models
Estimating correlations among demographic parameters is critical to understanding population dynamics and life-history evolution, where correlations among parameters can inform our understanding of life-history trade-offs, result in effective applied conservation actions, and shed light on evolution...
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ftzenodo:oai:zenodo.org:4989224 2024-09-15T18:17:09+00:00 Estimating correlations among demographic parameters in population models Riecke, Thomas Leach, Alan Sedinger, James Sedinger, Benjamin Williams, Perry 2019-11-22 https://doi.org/10.5061/dryad.dbrv15dws unknown Zenodo https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.dbrv15dws oai:zenodo.org:4989224 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode info:eu-repo/semantics/other 2019 ftzenodo https://doi.org/10.5061/dryad.dbrv15dws 2024-07-26T12:43:30Z Estimating correlations among demographic parameters is critical to understanding population dynamics and life-history evolution, where correlations among parameters can inform our understanding of life-history trade-offs, result in effective applied conservation actions, and shed light on evolutionary ecology. The most common approaches rely on the multivariate normal distribution, and its conjugate inverse Wishart prior distribtion. However, the inverse Wishart prior for the covariance matrix of multivariate normal distributions has a strong influence on posterior distributions. As an alternative to the inverse Wishart distribution, we individually parameterize the covariance matrix of a multivariate normal distribution to accurately estimate variances (σ 2 ) of, and process correlations (ρ) between, demographic parameters. We evaluate this approach using simulated capture-mark-recapture data. We then use this method to examine process correlations between adult and juvenile survival of black brent marked on the Yukon-Kuskokwim River Delta, Alaska (1988-2014). Our parameterization consistently outperformed the conjugate inverse Wishart prior for simulated data, where the means of posterior distributions estimated using an inverse Wishart prior were substantially different from the values used to simulate the data. Brent adult and juvenile annual apparent survival rates were strongly positively correlated (ρ = 0.563, 95% CRI 0.181 − 0.823), suggesting that habitat conditions have significant effects on both adult and juvenile survival. We provide robust simulation tools, and our methods can readily be expanded for use in other capture-recapture or capture-recovery frameworks. Further, our work reveals limits on the utility of these approaches when study duration or sample sizes are small. basic R, JAGS, capture-recapture knowledge Other/Unknown Material Kuskokwim Alaska Yukon Zenodo |
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Estimating correlations among demographic parameters is critical to understanding population dynamics and life-history evolution, where correlations among parameters can inform our understanding of life-history trade-offs, result in effective applied conservation actions, and shed light on evolutionary ecology. The most common approaches rely on the multivariate normal distribution, and its conjugate inverse Wishart prior distribtion. However, the inverse Wishart prior for the covariance matrix of multivariate normal distributions has a strong influence on posterior distributions. As an alternative to the inverse Wishart distribution, we individually parameterize the covariance matrix of a multivariate normal distribution to accurately estimate variances (σ 2 ) of, and process correlations (ρ) between, demographic parameters. We evaluate this approach using simulated capture-mark-recapture data. We then use this method to examine process correlations between adult and juvenile survival of black brent marked on the Yukon-Kuskokwim River Delta, Alaska (1988-2014). Our parameterization consistently outperformed the conjugate inverse Wishart prior for simulated data, where the means of posterior distributions estimated using an inverse Wishart prior were substantially different from the values used to simulate the data. Brent adult and juvenile annual apparent survival rates were strongly positively correlated (ρ = 0.563, 95% CRI 0.181 − 0.823), suggesting that habitat conditions have significant effects on both adult and juvenile survival. We provide robust simulation tools, and our methods can readily be expanded for use in other capture-recapture or capture-recovery frameworks. Further, our work reveals limits on the utility of these approaches when study duration or sample sizes are small. basic R, JAGS, capture-recapture knowledge |
format |
Other/Unknown Material |
author |
Riecke, Thomas Leach, Alan Sedinger, James Sedinger, Benjamin Williams, Perry |
spellingShingle |
Riecke, Thomas Leach, Alan Sedinger, James Sedinger, Benjamin Williams, Perry Estimating correlations among demographic parameters in population models |
author_facet |
Riecke, Thomas Leach, Alan Sedinger, James Sedinger, Benjamin Williams, Perry |
author_sort |
Riecke, Thomas |
title |
Estimating correlations among demographic parameters in population models |
title_short |
Estimating correlations among demographic parameters in population models |
title_full |
Estimating correlations among demographic parameters in population models |
title_fullStr |
Estimating correlations among demographic parameters in population models |
title_full_unstemmed |
Estimating correlations among demographic parameters in population models |
title_sort |
estimating correlations among demographic parameters in population models |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://doi.org/10.5061/dryad.dbrv15dws |
genre |
Kuskokwim Alaska Yukon |
genre_facet |
Kuskokwim Alaska Yukon |
op_relation |
https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.dbrv15dws oai:zenodo.org:4989224 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.dbrv15dws |
_version_ |
1810455151919497216 |