Fin whale ( Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds
Abstract 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 distribut...
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Online Access: | http://dx.doi.org/10.1111/mms.12943 https://onlinelibrary.wiley.com/doi/pdf/10.1111/mms.12943 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/mms.12943 |
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crwiley:10.1111/mms.12943 2024-06-23T07:50:33+00:00 Fin whale ( Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds Duengen, Diandra Burkhardt, Elke El‐Gabbas, Ahmed 2022 http://dx.doi.org/10.1111/mms.12943 https://onlinelibrary.wiley.com/doi/pdf/10.1111/mms.12943 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/mms.12943 en eng Wiley http://creativecommons.org/licenses/by-nc/4.0/ Marine Mammal Science volume 38, issue 4, page 1583-1608 ISSN 0824-0469 1748-7692 journal-article 2022 crwiley https://doi.org/10.1111/mms.12943 2024-06-06T04:20:17Z Abstract 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 Wiley Online Library 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 |
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Wiley Online Library |
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language |
English |
description |
Abstract 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 |
Duengen, Diandra Burkhardt, Elke El‐Gabbas, Ahmed |
spellingShingle |
Duengen, Diandra Burkhardt, Elke El‐Gabbas, Ahmed Fin whale ( Balaenoptera physalus) distribution modeling on their Nordic and Barents Seas feeding grounds |
author_facet |
Duengen, Diandra Burkhardt, Elke El‐Gabbas, Ahmed |
author_sort |
Duengen, Diandra |
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 |
publisher |
Wiley |
publishDate |
2022 |
url |
http://dx.doi.org/10.1111/mms.12943 https://onlinelibrary.wiley.com/doi/pdf/10.1111/mms.12943 https://onlinelibrary.wiley.com/doi/full-xml/10.1111/mms.12943 |
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 volume 38, issue 4, page 1583-1608 ISSN 0824-0469 1748-7692 |
op_rights |
http://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.1111/mms.12943 |
container_title |
Marine Mammal Science |
_version_ |
1802641454464499712 |