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://doi.org/10.5061/dryad.5g0rg |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::3a55c62ff6de351a0d0d07dcf976a1a1 |
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fttriple:oai:gotriple.eu:50|dedup_wf_001::3a55c62ff6de351a0d0d07dcf976a1a1 2023-05-15T13:13:23+02:00 Data from: Modeling time to population extinction when individual reproduction is autocorrelated Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine S. Engen, Steinar Saether, Bernt-Erik Markussen, Stine Svalheim 2018-08-14 https://doi.org/10.5061/dryad.5g0rg en eng Dryad http://dx.doi.org/10.5061/dryad.5g0rg https://dx.doi.org/10.5061/dryad.5g0rg lic_creative-commons 10.5061/dryad.5g0rg oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:98618 oai:easy.dans.knaw.nl:easy-dataset:98618 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 reproductive autocorrelation environmental stochasticity age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose population growth extinction Life history Vega Norway Life sciences medicine and health care stat demo Dataset https://vocabularies.coar-repositories.org/resource_types/c_ddb1/ 2018 fttriple https://doi.org/10.5061/dryad.5g0rg 2023-01-22T16:53:00Z 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 Unknown Norway |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
reproductive autocorrelation environmental stochasticity age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose population growth extinction Life history Vega Norway Life sciences medicine and health care stat demo |
spellingShingle |
reproductive autocorrelation environmental stochasticity age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose population growth extinction Life history Vega Norway Life sciences medicine and health care stat demo Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine S. Engen, Steinar Saether, Bernt-Erik Markussen, Stine Svalheim Data from: Modeling time to population extinction when individual reproduction is autocorrelated |
topic_facet |
reproductive autocorrelation environmental stochasticity age structure Demographic Stochasticity Alces alces matrix model dynamic heterogeneity moose population growth extinction Life history Vega Norway Life sciences medicine and health care stat demo |
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 S. Engen, Steinar Saether, Bernt-Erik Markussen, Stine Svalheim |
author_facet |
Lee, Aline Magdalena Sæther, Bernt-Erik Markussen, Stine S. Engen, Steinar Saether, Bernt-Erik Markussen, Stine Svalheim |
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://doi.org/10.5061/dryad.5g0rg |
geographic |
Norway |
geographic_facet |
Norway |
genre |
Alces alces |
genre_facet |
Alces alces |
op_source |
10.5061/dryad.5g0rg oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:98618 oai:easy.dans.knaw.nl:easy-dataset:98618 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f re3data_____::r3d100000044 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 |
op_relation |
http://dx.doi.org/10.5061/dryad.5g0rg https://dx.doi.org/10.5061/dryad.5g0rg |
op_rights |
lic_creative-commons |
op_doi |
https://doi.org/10.5061/dryad.5g0rg |
_version_ |
1766258042388611072 |