Airflow modelling predicts seabird breeding habitat across islands
Wind is fundamentally related to shelter and flight performance: two factors that are critical for birds at their nest sites. Despite this, airflows have never been fully integrated into models of breeding habitat selection, even for well‐studied seabirds. Here, we use computational fluid dynamics t...
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Online Access: | http://dx.doi.org/10.1111/ecog.05733 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05733 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ecog.05733 |
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crwiley:10.1111/ecog.05733 2024-06-02T08:15:31+00:00 Airflow modelling predicts seabird breeding habitat across islands Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. 2021 http://dx.doi.org/10.1111/ecog.05733 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05733 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ecog.05733 en eng Wiley http://creativecommons.org/licenses/by/3.0/ Ecography volume 2022, issue 1 ISSN 0906-7590 1600-0587 journal-article 2021 crwiley https://doi.org/10.1111/ecog.05733 2024-05-03T11:23:21Z Wind is fundamentally related to shelter and flight performance: two factors that are critical for birds at their nest sites. Despite this, airflows have never been fully integrated into models of breeding habitat selection, even for well‐studied seabirds. Here, we use computational fluid dynamics to provide the first assessment of whether flow characteristics (including wind speed and turbulence) predict the distribution of seabird colonies, taking common guillemots Uria aalge breeding on Skomer Island as our study system. This demonstrates that occupancy is driven by the need to shelter from both wind and rain/wave action, rather than airflow characteristics alone. Models of airflows and cliff orientation both performed well in predicting high‐quality habitat in our study site, identifying 80% of colonies and 93% of avoided sites, as well as 73% of the largest colonies on a neighbouring island. This suggests generality in the mechanisms driving breeding distributions and provides an approach for identifying habitat for seabird reintroductions considering current and projected wind speeds and directions. Article in Journal/Newspaper Uria aalge uria Wiley Online Library Ecography 2022 1 |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
Wind is fundamentally related to shelter and flight performance: two factors that are critical for birds at their nest sites. Despite this, airflows have never been fully integrated into models of breeding habitat selection, even for well‐studied seabirds. Here, we use computational fluid dynamics to provide the first assessment of whether flow characteristics (including wind speed and turbulence) predict the distribution of seabird colonies, taking common guillemots Uria aalge breeding on Skomer Island as our study system. This demonstrates that occupancy is driven by the need to shelter from both wind and rain/wave action, rather than airflow characteristics alone. Models of airflows and cliff orientation both performed well in predicting high‐quality habitat in our study site, identifying 80% of colonies and 93% of avoided sites, as well as 73% of the largest colonies on a neighbouring island. This suggests generality in the mechanisms driving breeding distributions and provides an approach for identifying habitat for seabird reintroductions considering current and projected wind speeds and directions. |
format |
Article in Journal/Newspaper |
author |
Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. |
spellingShingle |
Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. Airflow modelling predicts seabird breeding habitat across islands |
author_facet |
Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. |
author_sort |
Lempidakis, Emmanouil |
title |
Airflow modelling predicts seabird breeding habitat across islands |
title_short |
Airflow modelling predicts seabird breeding habitat across islands |
title_full |
Airflow modelling predicts seabird breeding habitat across islands |
title_fullStr |
Airflow modelling predicts seabird breeding habitat across islands |
title_full_unstemmed |
Airflow modelling predicts seabird breeding habitat across islands |
title_sort |
airflow modelling predicts seabird breeding habitat across islands |
publisher |
Wiley |
publishDate |
2021 |
url |
http://dx.doi.org/10.1111/ecog.05733 https://onlinelibrary.wiley.com/doi/pdf/10.1111/ecog.05733 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/ecog.05733 |
genre |
Uria aalge uria |
genre_facet |
Uria aalge uria |
op_source |
Ecography volume 2022, issue 1 ISSN 0906-7590 1600-0587 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ |
op_doi |
https://doi.org/10.1111/ecog.05733 |
container_title |
Ecography |
container_volume |
2022 |
container_issue |
1 |
_version_ |
1800739710827495424 |