Counting young birds: A simple tool for the determination of avian population parameters.

Population parameters are usually determined from mark-recapture experiments requiring laborious field work. Here, we present a model-based approach that can be applied for the determination of avian population parameters such as average individual life expectancy, average age in the population, and...

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Published in:PLOS ONE
Main Authors: Werner Oldekop, Gerd Oldekop, Kai Vahldiek, Frank Klawonn, Ursula Rinas
Format: Article in Journal/Newspaper
Language:English
Published: Public Library of Science (PLoS) 2023
Subjects:
R
Q
Online Access:https://doi.org/10.1371/journal.pone.0279899
https://doaj.org/article/0ba881f9aea1437da1c4f9cfc641d5cf
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spelling ftdoajarticles:oai:doaj.org/article:0ba881f9aea1437da1c4f9cfc641d5cf 2023-05-15T18:44:12+02:00 Counting young birds: A simple tool for the determination of avian population parameters. Werner Oldekop Gerd Oldekop Kai Vahldiek Frank Klawonn Ursula Rinas 2023-01-01T00:00:00Z https://doi.org/10.1371/journal.pone.0279899 https://doaj.org/article/0ba881f9aea1437da1c4f9cfc641d5cf EN eng Public Library of Science (PLoS) https://doi.org/10.1371/journal.pone.0279899 https://doaj.org/toc/1932-6203 1932-6203 doi:10.1371/journal.pone.0279899 https://doaj.org/article/0ba881f9aea1437da1c4f9cfc641d5cf PLoS ONE, Vol 18, Iss 2, p e0279899 (2023) Medicine R Science Q article 2023 ftdoajarticles https://doi.org/10.1371/journal.pone.0279899 2023-04-09T00:33:24Z Population parameters are usually determined from mark-recapture experiments requiring laborious field work. Here, we present a model-based approach that can be applied for the determination of avian population parameters such as average individual life expectancy, average age in the population, and generation length from age-differentiated bird counts. Moreover, the method presented can also create age-specific results from lifetime averages using a deterministic exponential function for the calculation of parameters of interest such as age-dependent mortality and age distribution in the population. The major prerequisites for application of this method are that young and adult birds are easily distinguishable in the field as well as the existence of sufficiently large data sets for error minimization. Large data sets are nowadays often available through the existence of so-called "citizen science" databases. Examples for the determination of population parameters are given for long-living migratory birds which travel as families in large groups such as the Common Crane and the Whooper Swan. Other examples include long-living partially migratory birds staying together in large flocks which do not travel as families such as the Black-headed Gull, and also short-living songbirds where at least from one sex young and adult birds are easily differentiable such as the male Black Redstart. Article in Journal/Newspaper Whooper Swan Black-headed Gull Directory of Open Access Journals: DOAJ Articles PLOS ONE 18 2 e0279899
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Werner Oldekop
Gerd Oldekop
Kai Vahldiek
Frank Klawonn
Ursula Rinas
Counting young birds: A simple tool for the determination of avian population parameters.
topic_facet Medicine
R
Science
Q
description Population parameters are usually determined from mark-recapture experiments requiring laborious field work. Here, we present a model-based approach that can be applied for the determination of avian population parameters such as average individual life expectancy, average age in the population, and generation length from age-differentiated bird counts. Moreover, the method presented can also create age-specific results from lifetime averages using a deterministic exponential function for the calculation of parameters of interest such as age-dependent mortality and age distribution in the population. The major prerequisites for application of this method are that young and adult birds are easily distinguishable in the field as well as the existence of sufficiently large data sets for error minimization. Large data sets are nowadays often available through the existence of so-called "citizen science" databases. Examples for the determination of population parameters are given for long-living migratory birds which travel as families in large groups such as the Common Crane and the Whooper Swan. Other examples include long-living partially migratory birds staying together in large flocks which do not travel as families such as the Black-headed Gull, and also short-living songbirds where at least from one sex young and adult birds are easily differentiable such as the male Black Redstart.
format Article in Journal/Newspaper
author Werner Oldekop
Gerd Oldekop
Kai Vahldiek
Frank Klawonn
Ursula Rinas
author_facet Werner Oldekop
Gerd Oldekop
Kai Vahldiek
Frank Klawonn
Ursula Rinas
author_sort Werner Oldekop
title Counting young birds: A simple tool for the determination of avian population parameters.
title_short Counting young birds: A simple tool for the determination of avian population parameters.
title_full Counting young birds: A simple tool for the determination of avian population parameters.
title_fullStr Counting young birds: A simple tool for the determination of avian population parameters.
title_full_unstemmed Counting young birds: A simple tool for the determination of avian population parameters.
title_sort counting young birds: a simple tool for the determination of avian population parameters.
publisher Public Library of Science (PLoS)
publishDate 2023
url https://doi.org/10.1371/journal.pone.0279899
https://doaj.org/article/0ba881f9aea1437da1c4f9cfc641d5cf
genre Whooper Swan
Black-headed Gull
genre_facet Whooper Swan
Black-headed Gull
op_source PLoS ONE, Vol 18, Iss 2, p e0279899 (2023)
op_relation https://doi.org/10.1371/journal.pone.0279899
https://doaj.org/toc/1932-6203
1932-6203
doi:10.1371/journal.pone.0279899
https://doaj.org/article/0ba881f9aea1437da1c4f9cfc641d5cf
op_doi https://doi.org/10.1371/journal.pone.0279899
container_title PLOS ONE
container_volume 18
container_issue 2
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