Modeling sensitive elasmobranch habitats

Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vuln...

Descripción completa

Detalles Bibliográficos
Autores: Pennino, Maria Grazia, Muñoz, Facundo, Conesa, David, López-Qúlez, Antonio, Bellido, José M.
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2013
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/353002
Acceso en línea:http://hdl.handle.net/10261/353002
https://api.elsevier.com/content/abstract/scopus_id/84886233644
Access Level:acceso abierto
Palabra clave:Bayesian hierarchical spatial model
Elasmobranch habitat
Mediterranean Sea
Species distribution modeling
id ES_80bdb712ee6f8a44cc172cbce78ce818
oai_identifier_str oai:digital.csic.es:10261/353002
network_acronym_str ES
network_name_str España
repository_id_str
spelling Modeling sensitive elasmobranch habitatsPennino, Maria GraziaMuñoz, FacundoConesa, DavidLópez-Qúlez, AntonioBellido, José M.Bayesian hierarchical spatial modelElasmobranch habitatMediterranean SeaSpecies distribution modelingBasic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch species (Galeus melastomus, Scyliorhinus canicula, Etmopterus spinax) in the western Mediterranean Sea, based on fishery-dependent bottom trawl data. Results show that habitats associated with hard substrata and sandy beds, mainly in deep waters and with a high seabed gradient, have a greater probability registering the presence of the studied species than those associated with muddy shallow waters. Temperature and chlorophyll- α concentration show a negative relationship with S. canicula occurrence. Our results identify some of the sensitive habitats for elasmobranchs in the western Mediterranean Sea (GSA06 South), providing essential and easy-to-use interpretation tools, such as predictive distribution maps, with the final aim of improving management and conservation of these vulnerable species. © 2013 Elsevier B.V.David Conesa, Antonio López-Quίlez and Facundo Muñoz would like to thank the Ministerio de Educación y Ciencia for financial support (jointly financed by the European Regional Development Fund) via Research Grant MTM2010-19528. The authors also wish to express their gratitude to Raúl Vilela for his valuable technical support.Peer reviewedElsevierMinisterio de Educación y Ciencia (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202420242013info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/353002https://api.elsevier.com/content/abstract/scopus_id/84886233644reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)InglésJournal of Sea Researchhttps://doi.org/10.1016/j.seares.2013.03.005Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3530022026-05-22T06:33:51Z
dc.title.none.fl_str_mv Modeling sensitive elasmobranch habitats
title Modeling sensitive elasmobranch habitats
spellingShingle Modeling sensitive elasmobranch habitats
Pennino, Maria Grazia
Bayesian hierarchical spatial model
Elasmobranch habitat
Mediterranean Sea
Species distribution modeling
title_short Modeling sensitive elasmobranch habitats
title_full Modeling sensitive elasmobranch habitats
title_fullStr Modeling sensitive elasmobranch habitats
title_full_unstemmed Modeling sensitive elasmobranch habitats
title_sort Modeling sensitive elasmobranch habitats
dc.creator.none.fl_str_mv Pennino, Maria Grazia
Muñoz, Facundo
Conesa, David
López-Qúlez, Antonio
Bellido, José M.
author Pennino, Maria Grazia
author_facet Pennino, Maria Grazia
Muñoz, Facundo
Conesa, David
López-Qúlez, Antonio
Bellido, José M.
author_role author
author2 Muñoz, Facundo
Conesa, David
López-Qúlez, Antonio
Bellido, José M.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Educación y Ciencia (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Bayesian hierarchical spatial model
Elasmobranch habitat
Mediterranean Sea
Species distribution modeling
topic Bayesian hierarchical spatial model
Elasmobranch habitat
Mediterranean Sea
Species distribution modeling
description Basic information on the distribution and habitat preferences of ecologically important species is essential for their management and protection. In the Mediterranean Sea there is increasing concern over elasmobranch species because their biological (ecological) characteristics make them highly vulnerable to fishing pressure. Their removal could affect the structure and function of marine ecosystems, inducing changes in trophic interactions at the community level due to the selective elimination of predators or prey species, competitors and species replacement. In this study Bayesian hierarchical spatial models are used to map the sensitive habitats of the three most caught elasmobranch species (Galeus melastomus, Scyliorhinus canicula, Etmopterus spinax) in the western Mediterranean Sea, based on fishery-dependent bottom trawl data. Results show that habitats associated with hard substrata and sandy beds, mainly in deep waters and with a high seabed gradient, have a greater probability registering the presence of the studied species than those associated with muddy shallow waters. Temperature and chlorophyll- α concentration show a negative relationship with S. canicula occurrence. Our results identify some of the sensitive habitats for elasmobranchs in the western Mediterranean Sea (GSA06 South), providing essential and easy-to-use interpretation tools, such as predictive distribution maps, with the final aim of improving management and conservation of these vulnerable species. © 2013 Elsevier B.V.
publishDate 2013
dc.date.none.fl_str_mv 2013
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/353002
https://api.elsevier.com/content/abstract/scopus_id/84886233644
url http://hdl.handle.net/10261/353002
https://api.elsevier.com/content/abstract/scopus_id/84886233644
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Journal of Sea Research
https://doi.org/10.1016/j.seares.2013.03.005
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869411922250563584
score 15.812455

Similares en LA Referencia