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Predicting migration routes for three species of migratory bats using species distribution models

Understanding seasonal variation in the distribution and movement patterns of migratory species is essential to monitoring and conservation efforts. While there are many species of migratory bats in North America, little is known about their seasonal movements. In terms of conservation, this is impo...

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Autores principales: Wieringa, Jamin G., Carstens, Bryan C., Gibbs, H Lisle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054759/
https://www.ncbi.nlm.nih.gov/pubmed/33959415
http://dx.doi.org/10.7717/peerj.11177
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author Wieringa, Jamin G.
Carstens, Bryan C.
Gibbs, H Lisle
author_facet Wieringa, Jamin G.
Carstens, Bryan C.
Gibbs, H Lisle
author_sort Wieringa, Jamin G.
collection PubMed
description Understanding seasonal variation in the distribution and movement patterns of migratory species is essential to monitoring and conservation efforts. While there are many species of migratory bats in North America, little is known about their seasonal movements. In terms of conservation, this is important because the bat fatalities from wind energy turbines are significant and may fluctuate seasonally. Here we describe seasonally resolved distributions for the three species that are most impacted by wind farms (Lasiurus borealis (eastern red bat), L. cinereus (hoary bat) and Lasionycteris noctivagans (silver-haired bat)) and use these distributions to infer their most likely migratory pathways. To accomplish this, we collected 2,880 occurrence points from the Global Biodiversity Information Facility over five decades in North America to model species distributions on a seasonal basis and used an ensemble approach for modeling distributions. This dataset included 1,129 data points for L. borealis, 917 for L. cinereus and 834 for L. noctivagans. The results suggest that all three species exhibit variation in distributions from north to south depending on season, with each species showing potential migratory pathways during the fall migration that follow linear features. Finally, we describe proposed migratory pathways for these three species that can be used to identify stop-over sites, assess small-scale migration and highlight areas that should be prioritized for actions to reduce the effects of wind farm mortality.
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spelling pubmed-80547592021-05-05 Predicting migration routes for three species of migratory bats using species distribution models Wieringa, Jamin G. Carstens, Bryan C. Gibbs, H Lisle PeerJ Animal Behavior Understanding seasonal variation in the distribution and movement patterns of migratory species is essential to monitoring and conservation efforts. While there are many species of migratory bats in North America, little is known about their seasonal movements. In terms of conservation, this is important because the bat fatalities from wind energy turbines are significant and may fluctuate seasonally. Here we describe seasonally resolved distributions for the three species that are most impacted by wind farms (Lasiurus borealis (eastern red bat), L. cinereus (hoary bat) and Lasionycteris noctivagans (silver-haired bat)) and use these distributions to infer their most likely migratory pathways. To accomplish this, we collected 2,880 occurrence points from the Global Biodiversity Information Facility over five decades in North America to model species distributions on a seasonal basis and used an ensemble approach for modeling distributions. This dataset included 1,129 data points for L. borealis, 917 for L. cinereus and 834 for L. noctivagans. The results suggest that all three species exhibit variation in distributions from north to south depending on season, with each species showing potential migratory pathways during the fall migration that follow linear features. Finally, we describe proposed migratory pathways for these three species that can be used to identify stop-over sites, assess small-scale migration and highlight areas that should be prioritized for actions to reduce the effects of wind farm mortality. PeerJ Inc. 2021-04-16 /pmc/articles/PMC8054759/ /pubmed/33959415 http://dx.doi.org/10.7717/peerj.11177 Text en © 2021 Wieringa et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Animal Behavior
Wieringa, Jamin G.
Carstens, Bryan C.
Gibbs, H Lisle
Predicting migration routes for three species of migratory bats using species distribution models
title Predicting migration routes for three species of migratory bats using species distribution models
title_full Predicting migration routes for three species of migratory bats using species distribution models
title_fullStr Predicting migration routes for three species of migratory bats using species distribution models
title_full_unstemmed Predicting migration routes for three species of migratory bats using species distribution models
title_short Predicting migration routes for three species of migratory bats using species distribution models
title_sort predicting migration routes for three species of migratory bats using species distribution models
topic Animal Behavior
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8054759/
https://www.ncbi.nlm.nih.gov/pubmed/33959415
http://dx.doi.org/10.7717/peerj.11177
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