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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ftdatacite:10.5061/dryad.dbrv15dws 2023-05-15T17:05:41+02:00 Estimating correlations among demographic parameters in population models Riecke, Thomas Leach, Alan Sedinger, James Sedinger, Benjamin Williams, Perry 2019 https://dx.doi.org/10.5061/dryad.dbrv15dws http://datadryad.org/stash/dataset/doi:10.5061/dryad.dbrv15dws en eng Dryad Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 dataset Dataset 2019 ftdatacite https://doi.org/10.5061/dryad.dbrv15dws 2022-02-08T12:55:18Z 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 (σ2) 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. : This is an R script that simulates capture-mark-recapture data of juveniles and adults of a hypothetical species at a single site or region. It then analyses these data using an inverse Wishart prior, as well as hyperpriors for the components of the covariance matrix. This file also includes brant capture-mark-recapture data collected at the Tutakoke River brant colony in western Alaska, and analyses those data using the same models used in the simulation script. : basic R, JAGS, capture-recapture knowledge Dataset Kuskokwim Alaska Yukon DataCite Metadata Store (German National Library of Science and Technology) Brant ENVELOPE(7.105,7.105,62.917,62.917) Yukon |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
description |
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 (σ2) 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. : This is an R script that simulates capture-mark-recapture data of juveniles and adults of a hypothetical species at a single site or region. It then analyses these data using an inverse Wishart prior, as well as hyperpriors for the components of the covariance matrix. This file also includes brant capture-mark-recapture data collected at the Tutakoke River brant colony in western Alaska, and analyses those data using the same models used in the simulation script. : basic R, JAGS, capture-recapture knowledge |
format |
Dataset |
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 |
Dryad |
publishDate |
2019 |
url |
https://dx.doi.org/10.5061/dryad.dbrv15dws http://datadryad.org/stash/dataset/doi:10.5061/dryad.dbrv15dws |
long_lat |
ENVELOPE(7.105,7.105,62.917,62.917) |
geographic |
Brant Yukon |
geographic_facet |
Brant Yukon |
genre |
Kuskokwim Alaska Yukon |
genre_facet |
Kuskokwim Alaska Yukon |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_rightsnorm |
CC0 |
op_doi |
https://doi.org/10.5061/dryad.dbrv15dws |
_version_ |
1766060372268154880 |