Mediterranean seascape suitability for Lophelia pertusa: living on the edge

Detalhes bibliográficos
Autor(a) principal: Matos, Fábio L.
Data de Publicação: 2021
Outros Autores: Company, Joan B., Cunha, Marina R.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/30797
Resumo: Ecological niche modelling is used in deep-sea research to investigate the environmental preferences and potential distribution of data-poor species. We present a mesoscale assessment of Mediterranean seascape suitability for the cold-water coral Lophelia pertusa (= Desmophyllum pertusum, Linnaeus, 1758). We estimated seascape suitability and uncertainty maps using an ensemble approach of three machine-learning algorithms (Generalized Boosting Model, Random Forest, Maximum Entropy) based on environmental predictors. Bathymetry, bathymetric slope and pH were the most important predictors for the models. Overall the models reached good to excellent performance, with a very reliable prediction of the most suitable areas. In the Mediterranean Sea, L. pertusa encounters environmental settings close to its physiological limits but, despite the highly variable quality of the Mediterranean seascape, we identified high suitability areas mostly along the upper slope and at submarine canyons of the Western and Central margins. The existing MPAs do not overlap with high suitability areas, and therefore L. pertusa is only protected at the deepest fringe of its potential distribution by the implementation of the bottom trawling exclusion beyond 1000 m depth. This seascape suitability assessment may assist future research, including high-resolution modelling targeting high-suitability areas, investigation on the resilience of L. pertusa populations and development of conservation actions.
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spelling Mediterranean seascape suitability for Lophelia pertusa: living on the edgeCold-water coralsPotential distributionClimate changeConservationEnsemble modelEcological niche modelling is used in deep-sea research to investigate the environmental preferences and potential distribution of data-poor species. We present a mesoscale assessment of Mediterranean seascape suitability for the cold-water coral Lophelia pertusa (= Desmophyllum pertusum, Linnaeus, 1758). We estimated seascape suitability and uncertainty maps using an ensemble approach of three machine-learning algorithms (Generalized Boosting Model, Random Forest, Maximum Entropy) based on environmental predictors. Bathymetry, bathymetric slope and pH were the most important predictors for the models. Overall the models reached good to excellent performance, with a very reliable prediction of the most suitable areas. In the Mediterranean Sea, L. pertusa encounters environmental settings close to its physiological limits but, despite the highly variable quality of the Mediterranean seascape, we identified high suitability areas mostly along the upper slope and at submarine canyons of the Western and Central margins. The existing MPAs do not overlap with high suitability areas, and therefore L. pertusa is only protected at the deepest fringe of its potential distribution by the implementation of the bottom trawling exclusion beyond 1000 m depth. This seascape suitability assessment may assist future research, including high-resolution modelling targeting high-suitability areas, investigation on the resilience of L. pertusa populations and development of conservation actions.Elsevier2023-02-01T00:00:00Z2021-04-01T00:00:00Z2021-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10773/30797eng0967-063710.1016/j.dsr.2021.103496Matos, Fábio L.Company, Joan B.Cunha, Marina R.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T11:59:29Zoai:ria.ua.pt:10773/30797Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:02:47.884749Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Mediterranean seascape suitability for Lophelia pertusa: living on the edge
title Mediterranean seascape suitability for Lophelia pertusa: living on the edge
spellingShingle Mediterranean seascape suitability for Lophelia pertusa: living on the edge
Matos, Fábio L.
Cold-water corals
Potential distribution
Climate change
Conservation
Ensemble model
title_short Mediterranean seascape suitability for Lophelia pertusa: living on the edge
title_full Mediterranean seascape suitability for Lophelia pertusa: living on the edge
title_fullStr Mediterranean seascape suitability for Lophelia pertusa: living on the edge
title_full_unstemmed Mediterranean seascape suitability for Lophelia pertusa: living on the edge
title_sort Mediterranean seascape suitability for Lophelia pertusa: living on the edge
author Matos, Fábio L.
author_facet Matos, Fábio L.
Company, Joan B.
Cunha, Marina R.
author_role author
author2 Company, Joan B.
Cunha, Marina R.
author2_role author
author
dc.contributor.author.fl_str_mv Matos, Fábio L.
Company, Joan B.
Cunha, Marina R.
dc.subject.por.fl_str_mv Cold-water corals
Potential distribution
Climate change
Conservation
Ensemble model
topic Cold-water corals
Potential distribution
Climate change
Conservation
Ensemble model
description Ecological niche modelling is used in deep-sea research to investigate the environmental preferences and potential distribution of data-poor species. We present a mesoscale assessment of Mediterranean seascape suitability for the cold-water coral Lophelia pertusa (= Desmophyllum pertusum, Linnaeus, 1758). We estimated seascape suitability and uncertainty maps using an ensemble approach of three machine-learning algorithms (Generalized Boosting Model, Random Forest, Maximum Entropy) based on environmental predictors. Bathymetry, bathymetric slope and pH were the most important predictors for the models. Overall the models reached good to excellent performance, with a very reliable prediction of the most suitable areas. In the Mediterranean Sea, L. pertusa encounters environmental settings close to its physiological limits but, despite the highly variable quality of the Mediterranean seascape, we identified high suitability areas mostly along the upper slope and at submarine canyons of the Western and Central margins. The existing MPAs do not overlap with high suitability areas, and therefore L. pertusa is only protected at the deepest fringe of its potential distribution by the implementation of the bottom trawling exclusion beyond 1000 m depth. This seascape suitability assessment may assist future research, including high-resolution modelling targeting high-suitability areas, investigation on the resilience of L. pertusa populations and development of conservation actions.
publishDate 2021
dc.date.none.fl_str_mv 2021-04-01T00:00:00Z
2021-04
2023-02-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10773/30797
url http://hdl.handle.net/10773/30797
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0967-0637
10.1016/j.dsr.2021.103496
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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