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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Online Access: | https://dx.doi.org/10.5061/dryad.5g0rg https://datadryad.org/stash/dataset/doi:10.5061/dryad.5g0rg |
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ftdatacite:10.5061/dryad.5g0rg 2024-02-04T09:52:30+01:00 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 https://dx.doi.org/10.5061/dryad.5g0rg https://datadryad.org/stash/dataset/doi:10.5061/dryad.5g0rg en eng Dryad https://dx.doi.org/10.1111/ele.12834 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 reproductive autocorrelation age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity Moose Dataset dataset 2018 ftdatacite https://doi.org/10.5061/dryad.5g0rg10.1111/ele.12834 2024-01-05T04:39:59Z 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 ... : 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 DataCite Metadata Store (German National Library of Science and Technology) |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
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language |
English |
topic |
reproductive autocorrelation age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity Moose |
spellingShingle |
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 ... |
topic_facet |
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 ... : 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 ... |
publisher |
Dryad |
publishDate |
2018 |
url |
https://dx.doi.org/10.5061/dryad.5g0rg https://datadryad.org/stash/dataset/doi:10.5061/dryad.5g0rg |
genre |
Alces alces |
genre_facet |
Alces alces |
op_relation |
https://dx.doi.org/10.1111/ele.12834 |
op_rights |
Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 |
op_doi |
https://doi.org/10.5061/dryad.5g0rg10.1111/ele.12834 |
_version_ |
1789958904346574848 |