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Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies

Our aim was to develop a method for estimating the number of animals using a single site in an asynchronous species, meaning that not all animals are present at once so that no one count captures the entire population. This is a common problem in seasonal breeders, and in northern elephant seals, we...

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Autores principales: Condit, Richard, Allen, Sarah G., Costa, Daniel P., Codde, Sarah, Goley, P. Dawn, Le Boeuf, Burney J., Lowry, Mark S., Morris, Patricia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786122/
https://www.ncbi.nlm.nih.gov/pubmed/35073340
http://dx.doi.org/10.1371/journal.pone.0262214
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author Condit, Richard
Allen, Sarah G.
Costa, Daniel P.
Codde, Sarah
Goley, P. Dawn
Le Boeuf, Burney J.
Lowry, Mark S.
Morris, Patricia
author_facet Condit, Richard
Allen, Sarah G.
Costa, Daniel P.
Codde, Sarah
Goley, P. Dawn
Le Boeuf, Burney J.
Lowry, Mark S.
Morris, Patricia
author_sort Condit, Richard
collection PubMed
description Our aim was to develop a method for estimating the number of animals using a single site in an asynchronous species, meaning that not all animals are present at once so that no one count captures the entire population. This is a common problem in seasonal breeders, and in northern elephant seals, we have a model for quantifying asynchrony at the Año Nuevo colony. Here we test the model at several additional colonies having many years of observations and demonstrate how it can account for animals not present on any one day. This leads to correction factors that yield total population from any single count throughout a season. At seven colonies in California for which we had many years of counts of northern elephant seals, we found that female arrival date varied < 2 days between years within sites and by < 5 days between sites. As a result, the correction factor for any one day was consistent, and at each colony, multiplying a female count between 26 and 30 Jan by 1.15 yielded an estimate of total population size that minimized error. This provides a method for estimating the female population size at colonies not yet studied. Our method can produce population estimates with minimal expenditure of time and resources and will be applicable to many seasonal species with asynchronous breeding phenology, particularly colonial birds and other pinnipeds. In elephant seals, it will facilitate monitoring the population over its entire range.
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spelling pubmed-87861222022-01-25 Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies Condit, Richard Allen, Sarah G. Costa, Daniel P. Codde, Sarah Goley, P. Dawn Le Boeuf, Burney J. Lowry, Mark S. Morris, Patricia PLoS One Research Article Our aim was to develop a method for estimating the number of animals using a single site in an asynchronous species, meaning that not all animals are present at once so that no one count captures the entire population. This is a common problem in seasonal breeders, and in northern elephant seals, we have a model for quantifying asynchrony at the Año Nuevo colony. Here we test the model at several additional colonies having many years of observations and demonstrate how it can account for animals not present on any one day. This leads to correction factors that yield total population from any single count throughout a season. At seven colonies in California for which we had many years of counts of northern elephant seals, we found that female arrival date varied < 2 days between years within sites and by < 5 days between sites. As a result, the correction factor for any one day was consistent, and at each colony, multiplying a female count between 26 and 30 Jan by 1.15 yielded an estimate of total population size that minimized error. This provides a method for estimating the female population size at colonies not yet studied. Our method can produce population estimates with minimal expenditure of time and resources and will be applicable to many seasonal species with asynchronous breeding phenology, particularly colonial birds and other pinnipeds. In elephant seals, it will facilitate monitoring the population over its entire range. Public Library of Science 2022-01-24 /pmc/articles/PMC8786122/ /pubmed/35073340 http://dx.doi.org/10.1371/journal.pone.0262214 Text en 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.
spellingShingle Research Article
Condit, Richard
Allen, Sarah G.
Costa, Daniel P.
Codde, Sarah
Goley, P. Dawn
Le Boeuf, Burney J.
Lowry, Mark S.
Morris, Patricia
Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
title Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
title_full Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
title_fullStr Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
title_full_unstemmed Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
title_short Estimating population size when individuals are asynchronous: A model illustrated with northern elephant seal breeding colonies
title_sort estimating population size when individuals are asynchronous: a model illustrated with northern elephant seal breeding colonies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786122/
https://www.ncbi.nlm.nih.gov/pubmed/35073340
http://dx.doi.org/10.1371/journal.pone.0262214
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