Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data
With the projected increases in shipping activity and hydrocarbon extraction globally, there is an increased risk of negative ecological impacts from oil pollution on the marine environment, including seabirds. Oil Vulnerability Indices (OVIs) are a common approach to assess seabird species vulnerab...
Published in: | Ornithological Applications |
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Main Authors: | , , , , , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2023
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Online Access: | https://pure.uhi.ac.uk/en/publications/69e3570d-34b2-4895-bd00-3d70fec9cb99 https://doi.org/10.1093/ornithapp/duad030 https://pureadmin.uhi.ac.uk/ws/files/45272936/ORNITH_APP_23_042_final.pdf http://www.scopus.com/inward/record.url?scp=85186111241&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85186111241&partnerID=8YFLogxK https://academic.oup.com/condor/advance-article/doi/10.1093/ornithapp/duad030/7225272 |
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ftuhipublicatio:oai:pure.atira.dk:publications/69e3570d-34b2-4895-bd00-3d70fec9cb99 2024-05-19T07:41:27+00:00 Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data O'Hanlon, Nina J. Bond, Alexander l Masden, Elizabeth A. Boertmann, David Bregnballe, Thomas Danielsen, Jóhannis Descamps, Sébastien Petersen, Aevar Strøm, Hallvard Systad, Geir James, Neil A. 2023-07-17 application/pdf https://pure.uhi.ac.uk/en/publications/69e3570d-34b2-4895-bd00-3d70fec9cb99 https://doi.org/10.1093/ornithapp/duad030 https://pureadmin.uhi.ac.uk/ws/files/45272936/ORNITH_APP_23_042_final.pdf http://www.scopus.com/inward/record.url?scp=85186111241&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85186111241&partnerID=8YFLogxK https://academic.oup.com/condor/advance-article/doi/10.1093/ornithapp/duad030/7225272 eng eng https://pure.uhi.ac.uk/en/publications/69e3570d-34b2-4895-bd00-3d70fec9cb99 info:eu-repo/semantics/openAccess O'Hanlon , N J , Bond , A L , Masden , E A , Boertmann , D , Bregnballe , T , Danielsen , J , Descamps , S , Petersen , A , Strøm , H , Systad , G & James , N A 2023 , ' Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data ' , Condor , vol. 125 , no. 4 , duad030 . https://doi.org/10.1093/ornithapp/duad030 , https://doi.org/10.1093/ornithapp/duad030 Atlantic marine birds oil vulnerability index pollution article 2023 ftuhipublicatio https://doi.org/10.1093/ornithapp/duad030 2024-05-02T00:07:13Z With the projected increases in shipping activity and hydrocarbon extraction globally, there is an increased risk of negative ecological impacts from oil pollution on the marine environment, including seabirds. Oil Vulnerability Indices (OVIs) are a common approach to assess seabird species vulnerability to oil pollution and to identify where species are most at risk, typically across regional spatial scales and for a relatively limited number of species. This approach generally requires comprehensive data on at-sea distributions and densities; however, for many regions, these data are limited. We present a simplified OVI to assess seabird species vulnerability to oil pollution. To create the spatial component of the OVI, we used a predictive foraging radius approach, using existing colony size and foraging range data, to project at-sea distributions of seabird populations during the breeding season. We demonstrate this approach over a large spatial scale, the eastern North Atlantic, which includes areas where seabird at-sea data are lacking. Our results reveal areas off west Greenland, Iceland, and Norway where seabirds are most vulnerable to oil pollution during the breeding season, largely driven by large colonies of auks (Alcidae). We also identify locations along the coast of mainland Norway, Iceland, and Scotland, where seabirds are particularly at risk to oil pollution associated with major shipping routes. Identifying areas where species are most at risk can help inform where, and which, measures should be put in place to mitigate the impacts of oil pollution, such as protecting and avoiding high risk areas, for example, through adopting dynamic Areas to be Avoided (ATBAs). Our simplified OVI combined with the predictive foraging radius approach can be adapted to other regions globally that lack seabird-at-sea distribution data, to other marine wildlife, and to assess risk from hydrocarbon extraction and other anthropogenic threats, including fishing activities and offshore renewable developments. Article in Journal/Newspaper Greenland Iceland North Atlantic University of the Highlands and Islands: Research Database of UHI Ornithological Applications |
institution |
Open Polar |
collection |
University of the Highlands and Islands: Research Database of UHI |
op_collection_id |
ftuhipublicatio |
language |
English |
topic |
Atlantic marine birds oil vulnerability index pollution |
spellingShingle |
Atlantic marine birds oil vulnerability index pollution O'Hanlon, Nina J. Bond, Alexander l Masden, Elizabeth A. Boertmann, David Bregnballe, Thomas Danielsen, Jóhannis Descamps, Sébastien Petersen, Aevar Strøm, Hallvard Systad, Geir James, Neil A. Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
topic_facet |
Atlantic marine birds oil vulnerability index pollution |
description |
With the projected increases in shipping activity and hydrocarbon extraction globally, there is an increased risk of negative ecological impacts from oil pollution on the marine environment, including seabirds. Oil Vulnerability Indices (OVIs) are a common approach to assess seabird species vulnerability to oil pollution and to identify where species are most at risk, typically across regional spatial scales and for a relatively limited number of species. This approach generally requires comprehensive data on at-sea distributions and densities; however, for many regions, these data are limited. We present a simplified OVI to assess seabird species vulnerability to oil pollution. To create the spatial component of the OVI, we used a predictive foraging radius approach, using existing colony size and foraging range data, to project at-sea distributions of seabird populations during the breeding season. We demonstrate this approach over a large spatial scale, the eastern North Atlantic, which includes areas where seabird at-sea data are lacking. Our results reveal areas off west Greenland, Iceland, and Norway where seabirds are most vulnerable to oil pollution during the breeding season, largely driven by large colonies of auks (Alcidae). We also identify locations along the coast of mainland Norway, Iceland, and Scotland, where seabirds are particularly at risk to oil pollution associated with major shipping routes. Identifying areas where species are most at risk can help inform where, and which, measures should be put in place to mitigate the impacts of oil pollution, such as protecting and avoiding high risk areas, for example, through adopting dynamic Areas to be Avoided (ATBAs). Our simplified OVI combined with the predictive foraging radius approach can be adapted to other regions globally that lack seabird-at-sea distribution data, to other marine wildlife, and to assess risk from hydrocarbon extraction and other anthropogenic threats, including fishing activities and offshore renewable developments. |
format |
Article in Journal/Newspaper |
author |
O'Hanlon, Nina J. Bond, Alexander l Masden, Elizabeth A. Boertmann, David Bregnballe, Thomas Danielsen, Jóhannis Descamps, Sébastien Petersen, Aevar Strøm, Hallvard Systad, Geir James, Neil A. |
author_facet |
O'Hanlon, Nina J. Bond, Alexander l Masden, Elizabeth A. Boertmann, David Bregnballe, Thomas Danielsen, Jóhannis Descamps, Sébastien Petersen, Aevar Strøm, Hallvard Systad, Geir James, Neil A. |
author_sort |
O'Hanlon, Nina J. |
title |
Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
title_short |
Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
title_full |
Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
title_fullStr |
Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
title_full_unstemmed |
Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
title_sort |
using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data |
publishDate |
2023 |
url |
https://pure.uhi.ac.uk/en/publications/69e3570d-34b2-4895-bd00-3d70fec9cb99 https://doi.org/10.1093/ornithapp/duad030 https://pureadmin.uhi.ac.uk/ws/files/45272936/ORNITH_APP_23_042_final.pdf http://www.scopus.com/inward/record.url?scp=85186111241&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85186111241&partnerID=8YFLogxK https://academic.oup.com/condor/advance-article/doi/10.1093/ornithapp/duad030/7225272 |
genre |
Greenland Iceland North Atlantic |
genre_facet |
Greenland Iceland North Atlantic |
op_source |
O'Hanlon , N J , Bond , A L , Masden , E A , Boertmann , D , Bregnballe , T , Danielsen , J , Descamps , S , Petersen , A , Strøm , H , Systad , G & James , N A 2023 , ' Using foraging range and colony size to assess the vulnerability of breeding seabirds to oil across regions lacking at-sea distribution data ' , Condor , vol. 125 , no. 4 , duad030 . https://doi.org/10.1093/ornithapp/duad030 , https://doi.org/10.1093/ornithapp/duad030 |
op_relation |
https://pure.uhi.ac.uk/en/publications/69e3570d-34b2-4895-bd00-3d70fec9cb99 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1093/ornithapp/duad030 |
container_title |
Ornithological Applications |
_version_ |
1799481051304689664 |