Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds
Understanding cetacean distribution is essential for conservation planning and decision-making, particularly in regions subject to rapid environmental changes. Nevertheless, information on their spatiotemporal distribution is commonly limited, especially from remote areas. Species distribution model...
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ftpubman:oai:pure.mpg.de:item_3388228 2023-08-27T04:08:00+02:00 Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds Düngen, D. Burkhardt, E. El‐Gabbas, A. 2022 application/pdf http://hdl.handle.net/21.11116/0000-000A-9816-2 http://hdl.handle.net/21.11116/0000-000A-9819-F http://hdl.handle.net/21.11116/0000-000B-9A9F-5 eng eng info:eu-repo/semantics/altIdentifier/doi/10.1111/mms.12943 http://hdl.handle.net/21.11116/0000-000A-9816-2 http://hdl.handle.net/21.11116/0000-000A-9819-F http://hdl.handle.net/21.11116/0000-000B-9A9F-5 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/ Marine Mammal Science info:eu-repo/semantics/article 2022 ftpubman https://doi.org/10.1111/mms.12943 2023-08-02T01:43:20Z Understanding cetacean distribution is essential for conservation planning and decision-making, particularly in regions subject to rapid environmental changes. Nevertheless, information on their spatiotemporal distribution is commonly limited, especially from remote areas. Species distribution models (SDMs) are powerful tools, relating species occurrences to environmental variables to predict the species' potential distribution. This study aims at using presence-only SDMs (MaxEnt) to identify suitable habitats for fin whales (Balaenoptera physalus) on their Nordic and Barents Seas feeding grounds. We used spatial-block cross-validation to tune MaxEnt parameters and evaluate model performance using spatially independent testing data. We considered spatial sampling bias correction using four methods. Important environmental variables were distance to shore and sea ice edge, variability of sea surface temperature and sea surface salinity, and depth. Suitable fin whale habitats were predicted along the west coast of Svalbard, between Svalbard and the eastern Norwegian Sea, coastal areas off Iceland and southern East Greenland, and along the Knipovich Ridge to Jan Mayen. Results support that presence-only SDMs are effective tools to predict cetacean habitat suitability, particularly in remote areas like the Arctic Ocean. SDMs constitute a cost-effective method for targeting future surveys and identifying top priority sites for conservation measures. Article in Journal/Newspaper Arctic Arctic Ocean Balaenoptera physalus East Greenland Fin whale Greenland Iceland Jan Mayen Norwegian Sea Sea ice Svalbard Max Planck Society: MPG.PuRe Arctic Arctic Ocean Greenland Jan Mayen Knipovich Ridge ENVELOPE(7.074,7.074,75.712,75.712) Norwegian Sea Svalbard Svalbard ENVELOPE(20.000,20.000,78.000,78.000) Marine Mammal Science |
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Open Polar |
collection |
Max Planck Society: MPG.PuRe |
op_collection_id |
ftpubman |
language |
English |
description |
Understanding cetacean distribution is essential for conservation planning and decision-making, particularly in regions subject to rapid environmental changes. Nevertheless, information on their spatiotemporal distribution is commonly limited, especially from remote areas. Species distribution models (SDMs) are powerful tools, relating species occurrences to environmental variables to predict the species' potential distribution. This study aims at using presence-only SDMs (MaxEnt) to identify suitable habitats for fin whales (Balaenoptera physalus) on their Nordic and Barents Seas feeding grounds. We used spatial-block cross-validation to tune MaxEnt parameters and evaluate model performance using spatially independent testing data. We considered spatial sampling bias correction using four methods. Important environmental variables were distance to shore and sea ice edge, variability of sea surface temperature and sea surface salinity, and depth. Suitable fin whale habitats were predicted along the west coast of Svalbard, between Svalbard and the eastern Norwegian Sea, coastal areas off Iceland and southern East Greenland, and along the Knipovich Ridge to Jan Mayen. Results support that presence-only SDMs are effective tools to predict cetacean habitat suitability, particularly in remote areas like the Arctic Ocean. SDMs constitute a cost-effective method for targeting future surveys and identifying top priority sites for conservation measures. |
format |
Article in Journal/Newspaper |
author |
Düngen, D. Burkhardt, E. El‐Gabbas, A. |
spellingShingle |
Düngen, D. Burkhardt, E. El‐Gabbas, A. Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
author_facet |
Düngen, D. Burkhardt, E. El‐Gabbas, A. |
author_sort |
Düngen, D. |
title |
Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
title_short |
Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
title_full |
Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
title_fullStr |
Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
title_full_unstemmed |
Fin whale (Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
title_sort |
fin whale (balaenoptera physalus) distribution modeling on their nordic and barents seas feeding grounds |
publishDate |
2022 |
url |
http://hdl.handle.net/21.11116/0000-000A-9816-2 http://hdl.handle.net/21.11116/0000-000A-9819-F http://hdl.handle.net/21.11116/0000-000B-9A9F-5 |
long_lat |
ENVELOPE(7.074,7.074,75.712,75.712) ENVELOPE(20.000,20.000,78.000,78.000) |
geographic |
Arctic Arctic Ocean Greenland Jan Mayen Knipovich Ridge Norwegian Sea Svalbard Svalbard |
geographic_facet |
Arctic Arctic Ocean Greenland Jan Mayen Knipovich Ridge Norwegian Sea Svalbard Svalbard |
genre |
Arctic Arctic Ocean Balaenoptera physalus East Greenland Fin whale Greenland Iceland Jan Mayen Norwegian Sea Sea ice Svalbard |
genre_facet |
Arctic Arctic Ocean Balaenoptera physalus East Greenland Fin whale Greenland Iceland Jan Mayen Norwegian Sea Sea ice Svalbard |
op_source |
Marine Mammal Science |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/mms.12943 http://hdl.handle.net/21.11116/0000-000A-9816-2 http://hdl.handle.net/21.11116/0000-000A-9819-F http://hdl.handle.net/21.11116/0000-000B-9A9F-5 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.1111/mms.12943 |
container_title |
Marine Mammal Science |
_version_ |
1775348705221672960 |