Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods
Following their near extirpation by industrial whaling of the 20th century, the population status of Southern Hemisphere fin whales (SHFW) remains unknown. Systematic surveys estimating fin whale abundance in the Southern Ocean are not yet available. Records of fin whale sightings have been collecte...
| الحاوية / القاعدة: | Frontiers in Marine Science |
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| المؤلفون الرئيسيون: | , , , , , , , , , , , , , , , , , , |
| التنسيق: | مقال |
| اللغة: | الإنجليزية |
| منشور في: |
Frontiers Media S.A.
2022-12-01
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www.frontiersin.org/articles/10.3389/fmars.2022.1040512/full |
| _version_ | 1852679859741917184 |
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| author | Sacha Viquerat Sacha Viquerat Claire M. Waluda Amy S. Kennedy Jennifer A. Jackson Marta Hevia Emma L. Carroll Danielle L. Buss Danielle L. Buss Elke Burkhardt Scott Thain Patrick Smith Eduardo R. Secchi Jarrod A. Santora Jarrod A. Santora Christian Reiss Ulf Lindstrøm Ulf Lindstrøm Bjørn A. Krafft George Gittins Luciano Dalla Rosa Martin Biuw Helena Herr Helena Herr |
| author_facet | Sacha Viquerat Sacha Viquerat Claire M. Waluda Amy S. Kennedy Jennifer A. Jackson Marta Hevia Emma L. Carroll Danielle L. Buss Danielle L. Buss Elke Burkhardt Scott Thain Patrick Smith Eduardo R. Secchi Jarrod A. Santora Jarrod A. Santora Christian Reiss Ulf Lindstrøm Ulf Lindstrøm Bjørn A. Krafft George Gittins Luciano Dalla Rosa Martin Biuw Helena Herr Helena Herr |
| author_sort | Sacha Viquerat |
| collection | DOAJ |
| container_title | Frontiers in Marine Science |
| description | Following their near extirpation by industrial whaling of the 20th century, the population status of Southern Hemisphere fin whales (SHFW) remains unknown. Systematic surveys estimating fin whale abundance in the Southern Ocean are not yet available. Records of fin whale sightings have been collected by a variety of organisations over the past few decades, incorporating both opportunistic data and dedicated survey data. Together, these isolated data sets represent a potentially valuable source of information on the seasonality, distribution and abundance of SHFW. We compiled records across 40 years from the Antarctic Peninsula and Scotia Sea from multiple sources and used a novel approach combining ensemble learning and a maximum entropy model to estimate abundance and distribution of SHFW in this region. Our results show a seasonal distribution pattern with pronounced centres of distribution from January-March along the West Antarctic Peninsula. Our new approach allowed us to estimate abundance of SHFW for discrete areas from a mixed data set of mainly opportunistic presence only data. |
| format | Article |
| id | doaj-art-e184beaa0e904520ab697f77ff44bf8f |
| institution | Directory of Open Access Journals |
| issn | 2296-7745 |
| language | English |
| publishDate | 2022-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| spelling | doaj-art-e184beaa0e904520ab697f77ff44bf8f2025-08-19T21:29:01ZengFrontiers Media S.A.Frontiers in Marine Science2296-77452022-12-01910.3389/fmars.2022.10405121040512Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methodsSacha Viquerat0Sacha Viquerat1Claire M. Waluda2Amy S. Kennedy3Jennifer A. Jackson4Marta Hevia5Emma L. Carroll6Danielle L. Buss7Danielle L. Buss8Elke Burkhardt9Scott Thain10Patrick Smith11Eduardo R. Secchi12Jarrod A. Santora13Jarrod A. Santora14Christian Reiss15Ulf Lindstrøm16Ulf Lindstrøm17Bjørn A. Krafft18George Gittins19Luciano Dalla Rosa20Martin Biuw21Helena Herr22Helena Herr23University of Hamburg, Center for Earth System Research and Sustainability (CEN), Institute for Marine Ecosystem and Fisheries Science, Hamburg, GermanyAlfred Wegener Institute, Helmholtz-Centre for Polar- and Marine Research, Bremerhaven, GermanyBritish Antarctic Survey, Natural Environment Research Council, Cambridge, United KingdomCooperative Institute for Climate, Ocean, and Ecosystem Studies (CICOES), University of Washington, Seattle, WA, United StatesBritish Antarctic Survey, Natural Environment Research Council, Cambridge, United KingdomFundación Cethus, Buenos Aires, ArgentinaSchool of Biological Sciences, University of Auckland – Waipapa Taumata Rau, Auckland, New ZealandBritish Antarctic Survey, Natural Environment Research Council, Cambridge, United KingdomDepartment of Archaeology, University of Cambridge, Cambridge, United KingdomAlfred Wegener Institute, Helmholtz-Centre for Polar- and Marine Research, Bremerhaven, GermanyFishery Patrol Vessel Pharos SG, Leith, United KingdomFishery Patrol Vessel Pharos SG, Leith, United KingdomLaboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Instituto de Oceanografia, Universidade Federal do Rio Grande—FURG, Rio Grande, Brazil0Fisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Santa Cruz, CA, United States1Department of Applied Math, University of California, Santa Cruz, Santa Cruz, CA, United States2Antarctic Ecosystem Research Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, La Jolla, CA, United States3Institute of Marine Research, Tromsø, Norway4UiT The Arctic University of Norway, Tromsø, Norway3Institute of Marine Research, Tromsø, NorwayFishery Patrol Vessel Pharos SG, Leith, United KingdomLaboratório de Ecologia e Conservação da Megafauna Marinha (ECOMEGA), Instituto de Oceanografia, Universidade Federal do Rio Grande—FURG, Rio Grande, Brazil3Institute of Marine Research, Tromsø, NorwayUniversity of Hamburg, Center for Earth System Research and Sustainability (CEN), Institute for Marine Ecosystem and Fisheries Science, Hamburg, GermanyAlfred Wegener Institute, Helmholtz-Centre for Polar- and Marine Research, Bremerhaven, GermanyFollowing their near extirpation by industrial whaling of the 20th century, the population status of Southern Hemisphere fin whales (SHFW) remains unknown. Systematic surveys estimating fin whale abundance in the Southern Ocean are not yet available. Records of fin whale sightings have been collected by a variety of organisations over the past few decades, incorporating both opportunistic data and dedicated survey data. Together, these isolated data sets represent a potentially valuable source of information on the seasonality, distribution and abundance of SHFW. We compiled records across 40 years from the Antarctic Peninsula and Scotia Sea from multiple sources and used a novel approach combining ensemble learning and a maximum entropy model to estimate abundance and distribution of SHFW in this region. Our results show a seasonal distribution pattern with pronounced centres of distribution from January-March along the West Antarctic Peninsula. Our new approach allowed us to estimate abundance of SHFW for discrete areas from a mixed data set of mainly opportunistic presence only data.https://www.frontiersin.org/articles/10.3389/fmars.2022.1040512/fullspecies distribution modelrandom forest classifieropportunistic data analysisBalaenoptera physalusSouthern Oceandata compilation |
| spellingShingle | Sacha Viquerat Sacha Viquerat Claire M. Waluda Amy S. Kennedy Jennifer A. Jackson Marta Hevia Emma L. Carroll Danielle L. Buss Danielle L. Buss Elke Burkhardt Scott Thain Patrick Smith Eduardo R. Secchi Jarrod A. Santora Jarrod A. Santora Christian Reiss Ulf Lindstrøm Ulf Lindstrøm Bjørn A. Krafft George Gittins Luciano Dalla Rosa Martin Biuw Helena Herr Helena Herr Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods species distribution model random forest classifier opportunistic data analysis Balaenoptera physalus Southern Ocean data compilation |
| title | Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods |
| title_full | Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods |
| title_fullStr | Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods |
| title_full_unstemmed | Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods |
| title_short | Identifying seasonal distribution patterns of fin whales across the Scotia Sea and the Antarctic Peninsula region using a novel approach combining habitat suitability models and ensemble learning methods |
| title_sort | identifying seasonal distribution patterns of fin whales across the scotia sea and the antarctic peninsula region using a novel approach combining habitat suitability models and ensemble learning methods |
| topic | species distribution model random forest classifier opportunistic data analysis Balaenoptera physalus Southern Ocean data compilation |
| url | https://www.frontiersin.org/articles/10.3389/fmars.2022.1040512/full |
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