No Cover Image

Journal article 196 views 70 downloads

Airflow modelling predicts seabird breeding habitat across islands

Emmanouil Lempidakis, Andrew N. Ross, Luca Borger Orcid Logo, Emily Shepard Orcid Logo

Ecography, Volume: 2022, Issue: 1

Swansea University Authors: Luca Borger Orcid Logo, Emily Shepard Orcid Logo

  • 58173.pdf

    PDF | Version of Record

    © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License

    Download (1.87MB)

Check full text

DOI (Published version): 10.1111/ecog.05733

Abstract

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...

Full description

Published in: Ecography
ISSN: 0906-7590 1600-0587
Published: Wiley 2022
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa58173
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2021-11-03T11:51:26Z
last_indexed 2023-01-11T14:38:35Z
id cronfa58173
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2022-10-26T13:55:44.1315017</datestamp><bib-version>v2</bib-version><id>58173</id><entry>2021-10-02</entry><title>Airflow modelling predicts seabird breeding habitat across islands</title><swanseaauthors><author><sid>8416d0ffc3cccdad6e6d67a455e7c4a2</sid><ORCID>0000-0001-8763-5997</ORCID><firstname>Luca</firstname><surname>Borger</surname><name>Luca Borger</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>54729295145aa1ea56d176818d51ed6a</sid><ORCID>0000-0001-7325-6398</ORCID><firstname>Emily</firstname><surname>Shepard</surname><name>Emily Shepard</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-10-02</date><deptcode>SBI</deptcode><abstract>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.</abstract><type>Journal Article</type><journal>Ecography</journal><volume>2022</volume><journalNumber>1</journalNumber><paginationStart/><paginationEnd/><publisher>Wiley</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>0906-7590</issnPrint><issnElectronic>1600-0587</issnElectronic><keywords>climate change; computational fluid dynamics; distribution; flight; habitat use; seabird; wind</keywords><publishedDay>1</publishedDay><publishedMonth>1</publishedMonth><publishedYear>2022</publishedYear><publishedDate>2022-01-01</publishedDate><doi>10.1111/ecog.05733</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm>External research funder(s) paid the OA fee (includes OA grants disbursed by the Library)</apcterm><funders>European Research Council under the European Union&#x2019;s Horizon 2020 research and innovation program Grant 715874 (to ELCS).</funders><projectreference/><lastEdited>2022-10-26T13:55:44.1315017</lastEdited><Created>2021-10-02T12:35:40.6532793</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>Emmanouil</firstname><surname>Lempidakis</surname><order>1</order></author><author><firstname>Andrew N.</firstname><surname>Ross</surname><order>2</order></author><author><firstname>Luca</firstname><surname>Borger</surname><orcid>0000-0001-8763-5997</orcid><order>3</order></author><author><firstname>Emily</firstname><surname>Shepard</surname><orcid>0000-0001-7325-6398</orcid><order>4</order></author></authors><documents><document><filename>58173__21882__cb3285cb62bb4f839fbfa655b9f5e4be.pdf</filename><originalFilename>58173.pdf</originalFilename><uploaded>2021-12-14T14:07:01.7688239</uploaded><type>Output</type><contentLength>1961570</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><documentNotes>&#xA9; 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/3.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2022-10-26T13:55:44.1315017 v2 58173 2021-10-02 Airflow modelling predicts seabird breeding habitat across islands 8416d0ffc3cccdad6e6d67a455e7c4a2 0000-0001-8763-5997 Luca Borger Luca Borger true false 54729295145aa1ea56d176818d51ed6a 0000-0001-7325-6398 Emily Shepard Emily Shepard true false 2021-10-02 SBI 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. Journal Article Ecography 2022 1 Wiley 0906-7590 1600-0587 climate change; computational fluid dynamics; distribution; flight; habitat use; seabird; wind 1 1 2022 2022-01-01 10.1111/ecog.05733 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University External research funder(s) paid the OA fee (includes OA grants disbursed by the Library) European Research Council under the European Union’s Horizon 2020 research and innovation program Grant 715874 (to ELCS). 2022-10-26T13:55:44.1315017 2021-10-02T12:35:40.6532793 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences Emmanouil Lempidakis 1 Andrew N. Ross 2 Luca Borger 0000-0001-8763-5997 3 Emily Shepard 0000-0001-7325-6398 4 58173__21882__cb3285cb62bb4f839fbfa655b9f5e4be.pdf 58173.pdf 2021-12-14T14:07:01.7688239 Output 1961570 application/pdf Version of Record true © 2021 The Authors. This is an open access article under the terms of the Creative Commons Attribution License true eng http://creativecommons.org/licenses/by/3.0/
title Airflow modelling predicts seabird breeding habitat across islands
spellingShingle Airflow modelling predicts seabird breeding habitat across islands
Luca Borger
Emily Shepard
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
author_id_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2
54729295145aa1ea56d176818d51ed6a
author_id_fullname_str_mv 8416d0ffc3cccdad6e6d67a455e7c4a2_***_Luca Borger
54729295145aa1ea56d176818d51ed6a_***_Emily Shepard
author Luca Borger
Emily Shepard
author2 Emmanouil Lempidakis
Andrew N. Ross
Luca Borger
Emily Shepard
format Journal article
container_title Ecography
container_volume 2022
container_issue 1
publishDate 2022
institution Swansea University
issn 0906-7590
1600-0587
doi_str_mv 10.1111/ecog.05733
publisher Wiley
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences
document_store_str 1
active_str 0
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.
published_date 2022-01-01T04:07:02Z
_version_ 1756962512257941504
score 10.92735