Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management
16 pages, 2 figures, 2 tables.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)
| Autores: | , , , , , , , |
|---|---|
| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2021 |
| País: | España |
| Institución: | Consejo Superior de Investigaciones Científicas (CSIC) |
| Repositorio: | DIGITAL.CSIC. Repositorio Institucional del CSIC |
| OAI Identifier: | oai:digital.csic.es:10261/258664 |
| Acceso en línea: | http://hdl.handle.net/10261/258664 |
| Access Level: | acceso abierto |
| Palabra clave: | Ecological niche modelling GAM Maxent Basin-scale modelling Habitat preferences Suitable habitats |
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Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| title |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| spellingShingle |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management Correia, Ana M. Ecological niche modelling GAM Maxent Basin-scale modelling Habitat preferences Suitable habitats |
| title_short |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| title_full |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| title_fullStr |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| title_full_unstemmed |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| title_sort |
Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine Management |
| dc.creator.none.fl_str_mv |
Correia, Ana M. Sousa-Guedes, Diana Gil, Ágatha Valente, Raúl Rosso, Massimiliano Sousa-Pinto, Isabel Sillero, Neftalí Pierce, Graham J. |
| author |
Correia, Ana M. |
| author_facet |
Correia, Ana M. Sousa-Guedes, Diana Gil, Ágatha Valente, Raúl Rosso, Massimiliano Sousa-Pinto, Isabel Sillero, Neftalí Pierce, Graham J. |
| author_role |
author |
| author2 |
Sousa-Guedes, Diana Gil, Ágatha Valente, Raúl Rosso, Massimiliano Sousa-Pinto, Isabel Sillero, Neftalí Pierce, Graham J. |
| author2_role |
author author author author author author author |
| dc.contributor.none.fl_str_mv |
Fundação para a Ciência e a Tecnologia (Portugal) Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72] |
| dc.subject.none.fl_str_mv |
Ecological niche modelling GAM Maxent Basin-scale modelling Habitat preferences Suitable habitats |
| topic |
Ecological niche modelling GAM Maxent Basin-scale modelling Habitat preferences Suitable habitats |
| description |
16 pages, 2 figures, 2 tables.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) |
| publishDate |
2021 |
| dc.date.none.fl_str_mv |
2021 2022 2022 |
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info:eu-repo/semantics/article http://purl.org/coar/resource_type/c_6501 Publisher's version info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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http://hdl.handle.net/10261/258664 |
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http://hdl.handle.net/10261/258664 |
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Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Correia, Ana M.; Granda, Miguel; Liberal, Marcos; Valente, Raúl; Gil, Ágatha; Rosso, Massimiliano; Pierce, Graham J.; Sousa-Pinto, Isabel; 2019; CETUS: Cetacean monitoring surveys in the Eastern North Atlantic [Dataset]; Vliz; Version 1; https://doi.org/10.14284/350 https://doi.org/10.3389/fmars.2021.643569 Sí |
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info:eu-repo/semantics/openAccess |
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openAccess |
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Frontiers Media |
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Frontiers Media |
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reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC instname:Consejo Superior de Investigaciones Científicas (CSIC) |
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Consejo Superior de Investigaciones Científicas (CSIC) |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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DIGITAL.CSIC. Repositorio Institucional del CSIC |
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1869413760282656768 |
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Predicting Cetacean Distributions in the Eastern North Atlantic to Support Marine ManagementCorreia, Ana M.Sousa-Guedes, DianaGil, ÁgathaValente, RaúlRosso, MassimilianoSousa-Pinto, IsabelSillero, NeftalíPierce, Graham J.Ecological niche modellingGAMMaxentBasin-scale modellingHabitat preferencesSuitable habitats16 pages, 2 figures, 2 tables.-- This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY)Data on species occurrence at the scale of their distributional range and the determination of their habitat use requirements are essential to support conservation and define management plans that account for their habitat requirements. For wide-ranging species, such as cetaceans, especially considering that their marine habitats include offshore areas, collection of such data is challenging. In the absence of dedicated surveys, alternative methodologies are needed, such as the use of data collected from platforms of opportunity and modelling techniques to predict distribution in unsurveyed areas. Using 6 years of cetacean occurrence data collected along cargo ship routes between the Iberian Peninsula, northwestern African coasts and the Macaronesian islands, we developed ecological niche models to assess habitat preferences and predict suitable habitats of the eight most frequently sighted cetacean taxa in the area. Explanatory variables used for model fitting included topographic, oceanographic, detectability, geographic and seasonal features. To provide a robust habitat characterisation, along with predictions of habitat suitability, making best use of occurrence datasets, we applied two modelling techniques, GAM and Maxent, which offer complementary strengths. Coastal areas provide important habitats for common and bottlenose dophins, while other dolphin species (spotted and striped dolphins) have a more oceanic distribution. The predicted niches of Cuvier’s beaked whale and minke whales are mainly in the high seas at northern latitudes. Suitable habitats for sperm whales and pilot whales are mostly in southern areas in continental slope regions. For all the species, models indicated that areas around seamount features offer suitable habitats, likely of high relevance in oligotrophic offshore waters. As such, dedicated survey effort in such areas would facilitate development and implementation of appropriate management plans, which are currently lacking. Our models offer an important contribution to baseline knowledge of cetacean distribution at basin-scale in the region and could support the definition of priority areas, monitoring plans, and conservation measures, essential to comply with the requirements of the EU Marine Strategy Framework DirectiveThis study was conducted within the Ph.D. program of AC, from the Faculty of Sciences of the University of Porto, Portugal, hosted by the Centre of Marine and Environmental Research (CIIMAR—Porto, Portugal) and funded by the Portuguese national funding agency for science, research and technology (FCT) under the grant SFRH/BD/100606/2014. Two Ph.D. fellowships for authors AG (PD/BD/150603/2020) and RV (SFRH/BD/144786/2019) were granted by Fundação para a Ciência e Tecnologia (FCT, Portugal) under the auspices of Programa Operacional Regional Norte (PORN), supported by the European Social Fund (ESF) and Portuguese funds (MECTES). NS was supported by a CEEC2017 contract (CEECIND/02213/2017)Peer reviewedFrontiers MediaFundação para a Ciência e a Tecnologia (Portugal)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202220222021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/258664reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésCorreia, Ana M.; Granda, Miguel; Liberal, Marcos; Valente, Raúl; Gil, Ágatha; Rosso, Massimiliano; Pierce, Graham J.; Sousa-Pinto, Isabel; 2019; CETUS: Cetacean monitoring surveys in the Eastern North Atlantic [Dataset]; Vliz; Version 1; https://doi.org/10.14284/350https://doi.org/10.3389/fmars.2021.643569Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2586642026-05-22T06:33:51Z |
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15,81155 |