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Atmospheric pressure predicts probability of departure for migratory songbirds
BACKGROUND: Weather can have both delayed and immediate impacts on animal populations, and species have evolved behavioral adaptions to respond to weather conditions. Weather has long been hypothesized to affect the timing and intensity of avian migration, and radar studies have demonstrated strong...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150475/ https://www.ncbi.nlm.nih.gov/pubmed/37122025 http://dx.doi.org/10.1186/s40462-022-00356-z |
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author | Cooper, Nathan W. Dossman, Bryant C. Berrigan, Lucas E. Brown, J. Morgan Cormier, Dominic A. Bégin-Marchand, Camille Rodewald, Amanda D. Taylor, Philip D. Tremblay, Junior A. Marra, Peter P. |
author_facet | Cooper, Nathan W. Dossman, Bryant C. Berrigan, Lucas E. Brown, J. Morgan Cormier, Dominic A. Bégin-Marchand, Camille Rodewald, Amanda D. Taylor, Philip D. Tremblay, Junior A. Marra, Peter P. |
author_sort | Cooper, Nathan W. |
collection | PubMed |
description | BACKGROUND: Weather can have both delayed and immediate impacts on animal populations, and species have evolved behavioral adaptions to respond to weather conditions. Weather has long been hypothesized to affect the timing and intensity of avian migration, and radar studies have demonstrated strong correlations between weather and broad-scale migration patterns. How weather affects individual decisions about the initiation of migratory flights, particularly at the beginning of migration, remains uncertain. METHODS: Here, we combine automated radio telemetry data from four species of songbirds collected at five breeding and wintering sites in North America with hourly weather data from a global weather model. We use these data to determine how wind profit, atmospheric pressure, precipitation, and cloud cover affect probability of departure from breeding and wintering sites. RESULTS: We found that the probability of departure was related to changes in atmospheric pressure, almost completely regardless of species, season, or location. Individuals were more likely to depart on nights when atmospheric pressure had been rising over the past 24 h, which is predictive of fair weather over the next several days. By contrast, wind profit, precipitation, and cloud cover were each only informative predictors of departure probability in a single species. CONCLUSIONS: Our results suggest that individual birds actively use weather information to inform decision-making regarding the initiation of departure from the breeding and wintering grounds. We propose that birds likely choose which date to depart on migration in a hierarchical fashion with weather not influencing decision-making until after the departure window has already been narrowed down by other ultimate and proximate factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-022-00356-z. |
format | Online Article Text |
id | pubmed-10150475 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-101504752023-05-02 Atmospheric pressure predicts probability of departure for migratory songbirds Cooper, Nathan W. Dossman, Bryant C. Berrigan, Lucas E. Brown, J. Morgan Cormier, Dominic A. Bégin-Marchand, Camille Rodewald, Amanda D. Taylor, Philip D. Tremblay, Junior A. Marra, Peter P. Mov Ecol Research BACKGROUND: Weather can have both delayed and immediate impacts on animal populations, and species have evolved behavioral adaptions to respond to weather conditions. Weather has long been hypothesized to affect the timing and intensity of avian migration, and radar studies have demonstrated strong correlations between weather and broad-scale migration patterns. How weather affects individual decisions about the initiation of migratory flights, particularly at the beginning of migration, remains uncertain. METHODS: Here, we combine automated radio telemetry data from four species of songbirds collected at five breeding and wintering sites in North America with hourly weather data from a global weather model. We use these data to determine how wind profit, atmospheric pressure, precipitation, and cloud cover affect probability of departure from breeding and wintering sites. RESULTS: We found that the probability of departure was related to changes in atmospheric pressure, almost completely regardless of species, season, or location. Individuals were more likely to depart on nights when atmospheric pressure had been rising over the past 24 h, which is predictive of fair weather over the next several days. By contrast, wind profit, precipitation, and cloud cover were each only informative predictors of departure probability in a single species. CONCLUSIONS: Our results suggest that individual birds actively use weather information to inform decision-making regarding the initiation of departure from the breeding and wintering grounds. We propose that birds likely choose which date to depart on migration in a hierarchical fashion with weather not influencing decision-making until after the departure window has already been narrowed down by other ultimate and proximate factors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-022-00356-z. BioMed Central 2023-05-01 /pmc/articles/PMC10150475/ /pubmed/37122025 http://dx.doi.org/10.1186/s40462-022-00356-z Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Cooper, Nathan W. Dossman, Bryant C. Berrigan, Lucas E. Brown, J. Morgan Cormier, Dominic A. Bégin-Marchand, Camille Rodewald, Amanda D. Taylor, Philip D. Tremblay, Junior A. Marra, Peter P. Atmospheric pressure predicts probability of departure for migratory songbirds |
title | Atmospheric pressure predicts probability of departure for migratory songbirds |
title_full | Atmospheric pressure predicts probability of departure for migratory songbirds |
title_fullStr | Atmospheric pressure predicts probability of departure for migratory songbirds |
title_full_unstemmed | Atmospheric pressure predicts probability of departure for migratory songbirds |
title_short | Atmospheric pressure predicts probability of departure for migratory songbirds |
title_sort | atmospheric pressure predicts probability of departure for migratory songbirds |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10150475/ https://www.ncbi.nlm.nih.gov/pubmed/37122025 http://dx.doi.org/10.1186/s40462-022-00356-z |
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