Joint estimation of growth and survival from mark‐recapture data to improve estimates of senescence in wild populations

dc.contributor.author Janzen, Fredric
dc.contributor.author Reinke, Beth
dc.contributor.author Hoekstra, Luke
dc.contributor.author Bronikowski, Anne
dc.contributor.author Bronikowski, Anne
dc.contributor.author Janzen, Fredric
dc.contributor.author Miller, David
dc.contributor.department Ecology, Evolution and Organismal Biology
dc.date 2021-11-05T20:16:20.000
dc.date.accessioned 2021-11-09T16:41:19Z
dc.date.available 2021-11-09T16:41:19Z
dc.date.copyright Tue Jan 01 00:00:00 UTC 2019
dc.date.issued 2019-08-31
dc.description.abstract <p>Understanding age-dependent patterns of survival is fundamental to predicting population dynamics, understanding selective pressures, and estimating rates of senescence. However, quantifying age- specific survival in wild populations poses significant logistical and statistical challenges. Recent work has helped to alleviate these constraints by demonstrating that age specific survival can be estimated using mark recapture data even when age is unknown for all or some individuals. However, previous approaches do not incorporate auxiliary information that can improve age estimates of individuals. We introduce a survival estimator that combines a von Bertalanffy growth model, age-specific hazard functions, and a Cormack-Jolly-Seber mark-recapture model into a single hierarchical framework. This approach allows us to obtain information about age and its uncertainty based on size and growth for individuals of unknown age when estimating age-specific survival. Using both simulated and real-world data for two painted turtle (<em>Chrysemys picta) </em>populations, we demonstrate that this additional information substantially reduces the bias of age-specific hazard rates, which allows for the testing of hypotheses related to aging. Estimating patterns of senescence is just one practical application of jointly estimating survival and growth; other applications include obtaining better estimates of the timing of recruitment and improved understanding of life history trade-offs between growth and survival.</p>
dc.description.comments <p>This is a manuscript of an article published as Reinke, Beth A., Luke Hoekstra, Anne M. Bronikowski, Fredric J. Janzen, and David Miller. Joint estimation of growth and survival from mark-recapture data to improve estimates of senescence in wild populations. <em>Ecology</em> (2019). doi: <a href="https://doi.org/10.1002/ecy.2877">10.1002/ecy.2877</a>. Copyright by the Ecological Society of America. Posted with permission.</p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/eeob_ag_pubs/370/
dc.identifier.articleid 1376
dc.identifier.contextkey 15300874
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath eeob_ag_pubs/370
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/JvNVXBXv
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/eeob_ag_pubs/370/2019_Janzen_JointEstimationManuscript.pdf|||Fri Jan 14 23:50:01 UTC 2022
dc.source.uri 10.1002/ecy.2877
dc.subject.disciplines Ecology and Evolutionary Biology
dc.subject.disciplines Population Biology
dc.subject.disciplines Statistical Models
dc.subject.keywords growth
dc.subject.keywords hazard
dc.subject.keywords mark-recapture
dc.subject.keywords painted turtle
dc.subject.keywords senescence
dc.subject.keywords survival
dc.title Joint estimation of growth and survival from mark‐recapture data to improve estimates of senescence in wild populations
dc.type article
dc.type.genre article
dspace.entity.type Publication
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relation.isAuthorOfPublication 67b6be17-6fb6-4241-86a2-464dbd5c5e58
relation.isOrgUnitOfPublication 6fa4d3a0-d4c9-4940-945f-9e5923aed691
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