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Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse

Habitat selection is a basic aspect of the ecology of many species, yet often the term is conflated or confused with both habitat preference and habitat use. We argue that each term fits within a conceptual framework that can be viewed in Bayesian terms and demonstrate, using long-term data on occup...

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Autores principales: Patten, Michael A., Barnard, Alexandra A., Curry, Claire M., Dang, Henry, Loraamm, Rebecca W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854595/
https://www.ncbi.nlm.nih.gov/pubmed/33531620
http://dx.doi.org/10.1038/s41598-021-82500-0
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author Patten, Michael A.
Barnard, Alexandra A.
Curry, Claire M.
Dang, Henry
Loraamm, Rebecca W.
author_facet Patten, Michael A.
Barnard, Alexandra A.
Curry, Claire M.
Dang, Henry
Loraamm, Rebecca W.
author_sort Patten, Michael A.
collection PubMed
description Habitat selection is a basic aspect of the ecology of many species, yet often the term is conflated or confused with both habitat preference and habitat use. We argue that each term fits within a conceptual framework that can be viewed in Bayesian terms and demonstrate, using long-term data on occupancy patterns of a grassland grouse, how prior probability profiles can be estimated. We obtained estimates by specifically focusing on whether and to what extent the Lesser Prairie-Chicken (Tympanuchus pallidicinctus) avoids anthropogenic features such as roads, powerlines, petroleum wells, fences, and buildings, in two study areas, one with denser and one with sparser incidence of features. Grouse strongly avoided large features such as outbuildings and tended to avoid tall features such as powerlines; by contrast, grouse did not or only slightly avoided low, unobtrusive features such as fences. We further examined co-location of pairs of anthropogenic features and found that certain features were avoided so strongly that avoidance distance may be shorter for other features; that is, birds were “pushed toward” some features because they are “pushed away” from others. In each case, our approach points toward a means to incorporate avoidance behavior directly into analytic studies of habitat selection, in that data on use (the posterior, as it were) could be used to infer the selection process provided data on preference (the prior, as it were) could be obtained.
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spelling pubmed-78545952021-02-03 Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse Patten, Michael A. Barnard, Alexandra A. Curry, Claire M. Dang, Henry Loraamm, Rebecca W. Sci Rep Article Habitat selection is a basic aspect of the ecology of many species, yet often the term is conflated or confused with both habitat preference and habitat use. We argue that each term fits within a conceptual framework that can be viewed in Bayesian terms and demonstrate, using long-term data on occupancy patterns of a grassland grouse, how prior probability profiles can be estimated. We obtained estimates by specifically focusing on whether and to what extent the Lesser Prairie-Chicken (Tympanuchus pallidicinctus) avoids anthropogenic features such as roads, powerlines, petroleum wells, fences, and buildings, in two study areas, one with denser and one with sparser incidence of features. Grouse strongly avoided large features such as outbuildings and tended to avoid tall features such as powerlines; by contrast, grouse did not or only slightly avoided low, unobtrusive features such as fences. We further examined co-location of pairs of anthropogenic features and found that certain features were avoided so strongly that avoidance distance may be shorter for other features; that is, birds were “pushed toward” some features because they are “pushed away” from others. In each case, our approach points toward a means to incorporate avoidance behavior directly into analytic studies of habitat selection, in that data on use (the posterior, as it were) could be used to infer the selection process provided data on preference (the prior, as it were) could be obtained. Nature Publishing Group UK 2021-02-02 /pmc/articles/PMC7854595/ /pubmed/33531620 http://dx.doi.org/10.1038/s41598-021-82500-0 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Patten, Michael A.
Barnard, Alexandra A.
Curry, Claire M.
Dang, Henry
Loraamm, Rebecca W.
Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse
title Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse
title_full Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse
title_fullStr Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse
title_full_unstemmed Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse
title_short Forging a Bayesian link between habitat selection and avoidance behavior in a grassland grouse
title_sort forging a bayesian link between habitat selection and avoidance behavior in a grassland grouse
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7854595/
https://www.ncbi.nlm.nih.gov/pubmed/33531620
http://dx.doi.org/10.1038/s41598-021-82500-0
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