Data from: Modeling time to population extinction when individual reproduction is autocorrelated
In nature, individual reproductive success is seldom independent from year to year, due to factors such as reproductive costs and individual heterogeneity. However, population projection models that incorporate temporal autocorrelations in individual reproduction can be difficult to parameterize, pa...
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ftzenodo:oai:zenodo.org:5002461 2023-06-06T11:42:56+02:00 Data from: Modeling time to population extinction when individual reproduction is autocorrelated Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine Svalheim Engen, Steinar Saether, Bernt-Erik 2018-08-14 https://zenodo.org/record/5002461 https://doi.org/10.5061/dryad.5g0rg unknown doi:10.1111/ele.12834 https://zenodo.org/communities/dryad https://zenodo.org/record/5002461 https://doi.org/10.5061/dryad.5g0rg oai:zenodo.org:5002461 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode reproductive autocorrelation age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose info:eu-repo/semantics/other dataset 2018 ftzenodo https://doi.org/10.5061/dryad.5g0rg10.1111/ele.12834 2023-04-13T21:30:15Z In nature, individual reproductive success is seldom independent from year to year, due to factors such as reproductive costs and individual heterogeneity. However, population projection models that incorporate temporal autocorrelations in individual reproduction can be difficult to parameterize, particularly when data are sparse. We therefore examine whether such models are necessary to avoid biased estimates of stochastic population growth and extinction risk, by comparing output from a matrix population model that incorporates reproductive autocorrelations to output from a standard age-structured matrix model that does not. We use a range of parameterizations, including a case study using moose data, treating probabilities of switching reproductive class as either fixed or fluctuating. Expected time to extinction from the two models is found to differ by only small amounts (under 10%) for most parameterizations, indicating that explicitly accounting for individual reproductive autocorrelations is in most cases not necessary to avoid bias in extinction estimates. Individual histories for moose at Vega 1984-2012Individual reproductive and survival histories for female moose at Vega 1984-2012. Numbers according to states: 1: Produced 0 calves, 2: Produced 1 calf, 3: Produced 2 calves, 4: Hunted, and 5: Natural death.Vegafemc190515.txt Dataset Alces alces Zenodo |
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reproductive autocorrelation age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose |
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reproductive autocorrelation age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine Svalheim Engen, Steinar Saether, Bernt-Erik Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
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reproductive autocorrelation age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose |
description |
In nature, individual reproductive success is seldom independent from year to year, due to factors such as reproductive costs and individual heterogeneity. However, population projection models that incorporate temporal autocorrelations in individual reproduction can be difficult to parameterize, particularly when data are sparse. We therefore examine whether such models are necessary to avoid biased estimates of stochastic population growth and extinction risk, by comparing output from a matrix population model that incorporates reproductive autocorrelations to output from a standard age-structured matrix model that does not. We use a range of parameterizations, including a case study using moose data, treating probabilities of switching reproductive class as either fixed or fluctuating. Expected time to extinction from the two models is found to differ by only small amounts (under 10%) for most parameterizations, indicating that explicitly accounting for individual reproductive autocorrelations is in most cases not necessary to avoid bias in extinction estimates. Individual histories for moose at Vega 1984-2012Individual reproductive and survival histories for female moose at Vega 1984-2012. Numbers according to states: 1: Produced 0 calves, 2: Produced 1 calf, 3: Produced 2 calves, 4: Hunted, and 5: Natural death.Vegafemc190515.txt |
format |
Dataset |
author |
Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine Svalheim Engen, Steinar Saether, Bernt-Erik |
author_facet |
Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine Svalheim Engen, Steinar Saether, Bernt-Erik |
author_sort |
Lee, Aline Magdalena |
title |
Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
title_short |
Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
title_full |
Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
title_fullStr |
Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
title_full_unstemmed |
Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
title_sort |
data from: modeling time to population extinction when individual reproduction is autocorrelated |
publishDate |
2018 |
url |
https://zenodo.org/record/5002461 https://doi.org/10.5061/dryad.5g0rg |
genre |
Alces alces |
genre_facet |
Alces alces |
op_relation |
doi:10.1111/ele.12834 https://zenodo.org/communities/dryad https://zenodo.org/record/5002461 https://doi.org/10.5061/dryad.5g0rg oai:zenodo.org:5002461 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.5g0rg10.1111/ele.12834 |
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1767952378783334400 |