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...
Published in: | Ecography |
---|---|
Main Authors: | , , , |
Format: | Text |
Language: | English |
Published: |
2021
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612159/ http://www.ncbi.nlm.nih.gov/pubmed/34987352 https://doi.org/10.1111/ecog.05733 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:7612159 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:7612159 2023-05-15T18:41:31+02:00 Airflow modelling predicts seabird breeding habitat across islands Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. 2021-11-21 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612159/ http://www.ncbi.nlm.nih.gov/pubmed/34987352 https://doi.org/10.1111/ecog.05733 en eng http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612159/ http://www.ncbi.nlm.nih.gov/pubmed/34987352 http://dx.doi.org/10.1111/ecog.05733 https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/) CC-BY Ecography Article Text 2021 ftpubmed https://doi.org/10.1111/ecog.05733 2022-01-09T01:23:21Z 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. Text Uria aalge uria PubMed Central (PMC) Ecography 2022 1 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Article |
spellingShingle |
Article Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. Airflow modelling predicts seabird breeding habitat across islands |
topic_facet |
Article |
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 |
Text |
author |
Lempidakis, Emmanouil Ross, Andrew N. Börger, Luca Shepard, Emily L. C. |
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 |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612159/ http://www.ncbi.nlm.nih.gov/pubmed/34987352 https://doi.org/10.1111/ecog.05733 |
genre |
Uria aalge uria |
genre_facet |
Uria aalge uria |
op_source |
Ecography |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612159/ http://www.ncbi.nlm.nih.gov/pubmed/34987352 http://dx.doi.org/10.1111/ecog.05733 |
op_rights |
https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/) |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1111/ecog.05733 |
container_title |
Ecography |
container_volume |
2022 |
container_issue |
1 |
_version_ |
1766231054242283520 |