Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data

Understanding the influence of individual attributes on demographic processes is a key objective of wildlife population studies. Capture-recapture and age data are commonly collected to investigate hypotheses about survival, reproduction, and viability. We present a novel age-structured Jolly-Seber...

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Published in:PLOS ONE
Main Authors: Hostetter, Nathan J., Lunn, Nicholas J., Richardson, Evan S., Regehr, Eric V., Converse, Sarah J.
Format: Text
Language:English
Published: Public Library of Science 2021
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189494/
http://www.ncbi.nlm.nih.gov/pubmed/34106979
https://doi.org/10.1371/journal.pone.0252748
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spelling ftpubmed:oai:pubmedcentral.nih.gov:8189494 2023-05-15T16:35:31+02:00 Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data Hostetter, Nathan J. Lunn, Nicholas J. Richardson, Evan S. Regehr, Eric V. Converse, Sarah J. 2021-06-09 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189494/ http://www.ncbi.nlm.nih.gov/pubmed/34106979 https://doi.org/10.1371/journal.pone.0252748 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189494/ http://www.ncbi.nlm.nih.gov/pubmed/34106979 http://dx.doi.org/10.1371/journal.pone.0252748 https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. CC0 PDM PLoS One Research Article Text 2021 ftpubmed https://doi.org/10.1371/journal.pone.0252748 2021-06-20T00:34:04Z Understanding the influence of individual attributes on demographic processes is a key objective of wildlife population studies. Capture-recapture and age data are commonly collected to investigate hypotheses about survival, reproduction, and viability. We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. We applied our model to a multi-year capture-recapture study of polar bears (Ursus maritimus) in western Hudson Bay, Canada (2012–2018), where management and conservation require a detailed understanding of how polar bears respond to climate change and other factors. In simulation studies, the age-structured Jolly-Seber model improved precision of survival, recruitment, and annual abundance estimates relative to standard Jolly-Seber models that omit age information. Furthermore, incorporating age information improved precision of population growth rates, increased power to detect trends in abundance, and allowed direct estimation of age-dependent survival and changes in annual age structure. Our case study provided detailed evidence for senescence in polar bear survival. Median survival estimates were lower (<0.95) for individuals aged <5 years, remained high (>0.95) for individuals aged 7–22 years, and subsequently declined to near zero for individuals >30 years. We also detected cascading effects of large recruitment classes on population age structure, which created major shifts in age structure when these classes entered the population and then again when they reached prime breeding ages (10–15 years old). Overall, age-structured Jolly-Seber models provide a flexible means to investigate ecological and evolutionary processes that shape populations (e.g., via senescence, life expectancy, and lifetime reproductive success) while improving our ability to investigate population dynamics and ... Text Hudson Bay Ursus maritimus PubMed Central (PMC) Canada Hudson Hudson Bay PLOS ONE 16 6 e0252748
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
Hostetter, Nathan J.
Lunn, Nicholas J.
Richardson, Evan S.
Regehr, Eric V.
Converse, Sarah J.
Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data
topic_facet Research Article
description Understanding the influence of individual attributes on demographic processes is a key objective of wildlife population studies. Capture-recapture and age data are commonly collected to investigate hypotheses about survival, reproduction, and viability. We present a novel age-structured Jolly-Seber model that incorporates age and capture-recapture data to provide comprehensive information on population dynamics, including abundance, age-dependent survival, recruitment, age structure, and population growth rates. We applied our model to a multi-year capture-recapture study of polar bears (Ursus maritimus) in western Hudson Bay, Canada (2012–2018), where management and conservation require a detailed understanding of how polar bears respond to climate change and other factors. In simulation studies, the age-structured Jolly-Seber model improved precision of survival, recruitment, and annual abundance estimates relative to standard Jolly-Seber models that omit age information. Furthermore, incorporating age information improved precision of population growth rates, increased power to detect trends in abundance, and allowed direct estimation of age-dependent survival and changes in annual age structure. Our case study provided detailed evidence for senescence in polar bear survival. Median survival estimates were lower (<0.95) for individuals aged <5 years, remained high (>0.95) for individuals aged 7–22 years, and subsequently declined to near zero for individuals >30 years. We also detected cascading effects of large recruitment classes on population age structure, which created major shifts in age structure when these classes entered the population and then again when they reached prime breeding ages (10–15 years old). Overall, age-structured Jolly-Seber models provide a flexible means to investigate ecological and evolutionary processes that shape populations (e.g., via senescence, life expectancy, and lifetime reproductive success) while improving our ability to investigate population dynamics and ...
format Text
author Hostetter, Nathan J.
Lunn, Nicholas J.
Richardson, Evan S.
Regehr, Eric V.
Converse, Sarah J.
author_facet Hostetter, Nathan J.
Lunn, Nicholas J.
Richardson, Evan S.
Regehr, Eric V.
Converse, Sarah J.
author_sort Hostetter, Nathan J.
title Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data
title_short Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data
title_full Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data
title_fullStr Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data
title_full_unstemmed Age-structured Jolly-Seber model expands inference and improves parameter estimation from capture-recapture data
title_sort age-structured jolly-seber model expands inference and improves parameter estimation from capture-recapture data
publisher Public Library of Science
publishDate 2021
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189494/
http://www.ncbi.nlm.nih.gov/pubmed/34106979
https://doi.org/10.1371/journal.pone.0252748
geographic Canada
Hudson
Hudson Bay
geographic_facet Canada
Hudson
Hudson Bay
genre Hudson Bay
Ursus maritimus
genre_facet Hudson Bay
Ursus maritimus
op_source PLoS One
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8189494/
http://www.ncbi.nlm.nih.gov/pubmed/34106979
http://dx.doi.org/10.1371/journal.pone.0252748
op_rights https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
op_rightsnorm CC0
PDM
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