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Environmental drivers of autumn migration departure decisions in midcontinental mallards
BACKGROUND: The timing of autumn migration in ducks is influenced by a range of environmental conditions that may elicit individual experiences and responses from individual birds, yet most studies have investigated relationships at the population level. We used data from individual satellite-tracke...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729067/ https://www.ncbi.nlm.nih.gov/pubmed/34986903 http://dx.doi.org/10.1186/s40462-021-00299-x |
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author | Weller, Florian G. Beatty, William S. Webb, Elisabeth B. Kesler, Dylan C. Krementz, David G. Asante, Kwasi Naylor, Luke W. |
author_facet | Weller, Florian G. Beatty, William S. Webb, Elisabeth B. Kesler, Dylan C. Krementz, David G. Asante, Kwasi Naylor, Luke W. |
author_sort | Weller, Florian G. |
collection | PubMed |
description | BACKGROUND: The timing of autumn migration in ducks is influenced by a range of environmental conditions that may elicit individual experiences and responses from individual birds, yet most studies have investigated relationships at the population level. We used data from individual satellite-tracked mallards (Anas platyrhynchos) to model the timing and environmental drivers of autumn migration movements at a continental scale. METHODS: We combined two sets of location records (2004–2007 and 2010–2011) from satellite-tracked mallards during autumn migration in the Mississippi Flyway, and identified records that indicated the start of long-range (≥ 30 km) southward movements during the migration period. We modeled selection of departure date by individual mallards using a discrete choice model accounting for heterogeneity in individual preferences. We developed candidate models to predict the departure date, conditional on daily mean environmental covariates (i.e. temperature, snow and ice cover, wind conditions, precipitation, cloud cover, and pressure) at a 32 × 32 km resolution. We ranked model performance with the Bayesian Information Criterion. RESULTS: Departure was best predicted (60% accuracy) by a “winter conditions” model containing temperature, and depth and duration of snow cover. Models conditional on wind speed, precipitation, pressure variation, and cloud cover received lower support. Number of days of snow cover, recently experienced snow cover (snow days) and current snow cover had the strongest positive effect on departure likelihood, followed by number of experienced days of freezing temperature (frost days) and current low temperature. Distributions of dominant drivers and of correct vs incorrect prediction along the movement tracks indicate that these responses applied throughout the latitudinal range of migration. Among recorded departures, most were driven by snow days (65%) followed by current temperature (30%). CONCLUSIONS: Our results indicate that among the tested environmental parameters, the dominant environmental driver of departure decision in autumn-migrating mallards was the onset of snow conditions, and secondarily the onset of temperatures close to, or below, the freezing point. Mallards are likely to relocate southwards quickly when faced with snowy conditions, and could use declining temperatures as a more graduated early cue for departure. Our findings provide further insights into the functional response of mallards to weather factors during the migration period that ultimately determine seasonal distributions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-021-00299-x. |
format | Online Article Text |
id | pubmed-8729067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87290672022-01-07 Environmental drivers of autumn migration departure decisions in midcontinental mallards Weller, Florian G. Beatty, William S. Webb, Elisabeth B. Kesler, Dylan C. Krementz, David G. Asante, Kwasi Naylor, Luke W. Mov Ecol Research BACKGROUND: The timing of autumn migration in ducks is influenced by a range of environmental conditions that may elicit individual experiences and responses from individual birds, yet most studies have investigated relationships at the population level. We used data from individual satellite-tracked mallards (Anas platyrhynchos) to model the timing and environmental drivers of autumn migration movements at a continental scale. METHODS: We combined two sets of location records (2004–2007 and 2010–2011) from satellite-tracked mallards during autumn migration in the Mississippi Flyway, and identified records that indicated the start of long-range (≥ 30 km) southward movements during the migration period. We modeled selection of departure date by individual mallards using a discrete choice model accounting for heterogeneity in individual preferences. We developed candidate models to predict the departure date, conditional on daily mean environmental covariates (i.e. temperature, snow and ice cover, wind conditions, precipitation, cloud cover, and pressure) at a 32 × 32 km resolution. We ranked model performance with the Bayesian Information Criterion. RESULTS: Departure was best predicted (60% accuracy) by a “winter conditions” model containing temperature, and depth and duration of snow cover. Models conditional on wind speed, precipitation, pressure variation, and cloud cover received lower support. Number of days of snow cover, recently experienced snow cover (snow days) and current snow cover had the strongest positive effect on departure likelihood, followed by number of experienced days of freezing temperature (frost days) and current low temperature. Distributions of dominant drivers and of correct vs incorrect prediction along the movement tracks indicate that these responses applied throughout the latitudinal range of migration. Among recorded departures, most were driven by snow days (65%) followed by current temperature (30%). CONCLUSIONS: Our results indicate that among the tested environmental parameters, the dominant environmental driver of departure decision in autumn-migrating mallards was the onset of snow conditions, and secondarily the onset of temperatures close to, or below, the freezing point. Mallards are likely to relocate southwards quickly when faced with snowy conditions, and could use declining temperatures as a more graduated early cue for departure. Our findings provide further insights into the functional response of mallards to weather factors during the migration period that ultimately determine seasonal distributions. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40462-021-00299-x. BioMed Central 2022-01-05 /pmc/articles/PMC8729067/ /pubmed/34986903 http://dx.doi.org/10.1186/s40462-021-00299-x Text en © The Author(s) 2021 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 Weller, Florian G. Beatty, William S. Webb, Elisabeth B. Kesler, Dylan C. Krementz, David G. Asante, Kwasi Naylor, Luke W. Environmental drivers of autumn migration departure decisions in midcontinental mallards |
title | Environmental drivers of autumn migration departure decisions in midcontinental mallards |
title_full | Environmental drivers of autumn migration departure decisions in midcontinental mallards |
title_fullStr | Environmental drivers of autumn migration departure decisions in midcontinental mallards |
title_full_unstemmed | Environmental drivers of autumn migration departure decisions in midcontinental mallards |
title_short | Environmental drivers of autumn migration departure decisions in midcontinental mallards |
title_sort | environmental drivers of autumn migration departure decisions in midcontinental mallards |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729067/ https://www.ncbi.nlm.nih.gov/pubmed/34986903 http://dx.doi.org/10.1186/s40462-021-00299-x |
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