Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]

This dataset includes georeferenced data relevant to four Mediterranean gorgonians* Eunicella singularis, Eunicella cavolini, Paramuricea clavata,* and* Corallium rubrum*. It was used to model their habitat suitability index and uncertainty within the Mediterranean shallow and mesophotic depths (<...

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Detalles Bibliográficos
Autores: Figuerola-Ferrando, Laura, Linares, Cristina, Amblas, David, Matos, Fábio L., Zentner, Yanis, Garrabou, Joaquim
Tipo de recurso: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/397884
Acceso en línea:http://hdl.handle.net/10261/397884
Access Level:acceso abierto
Palabra clave:Benthic species
Conservation
Distribution
Ecological niche models
Gorgonians
Marine habitat-forming species
Mediterranean
Species distribution models
Uncertainty
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
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spelling Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]Figuerola-Ferrando, LauraLinares, CristinaAmblas, DavidMatos, Fábio L.Zentner, YanisGarrabou, JoaquimBenthic speciesConservationDistributionEcological niche modelsGorgoniansMarine habitat-forming speciesMediterraneanSpecies distribution modelsUncertaintyhttp://metadata.un.org/sdg/14Conserve and sustainably use the oceans, seas and marine resources for sustainable developmentThis dataset includes georeferenced data relevant to four Mediterranean gorgonians* Eunicella singularis, Eunicella cavolini, Paramuricea clavata,* and* Corallium rubrum*. It was used to model their habitat suitability index and uncertainty within the Mediterranean shallow and mesophotic depths (< 150 m) together with environmental predictors selected according to their potential relevance for the ecology of these speciesThis research was funded by the following I+D+i projects: HEATMED project (RTI2018-095346-B-I00), funded by MICIU/AEI/ 10.13039/501100011033/and by “ERDF/EU”, CORFUN project (TED2021-131622B-I00) funded by MICIU/AEI/ 10.13039/501100011033 and by European Union NextGenerationEU/PRTR, UNDRESCORAL project (PID2022-137539OB-C21) funded by MCIN/AEI/ 10.13039/501100011033 and FEDER/UE and, OCEAN CITIZEN project (Grant agreement 101093010), funded by the European Union under Horizon Europe Research and Innovative programme. L.F.-F. was supported by FI SDUR grant (2020 FISDU 00482) from the “Generalitat de Catalunya”. C.L. gratefully acknowledges the financial support by ICREA under the ICREA Academia program. J.G. acknowledge the funding of the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S). Y.Z. was supported by an FPU grant (FPU20/03574). F.L.M. acknowledges Fundação para a Ciência e a Tecnologia (FCT/MCTES) for the financial support to CESAM (UIDP/50017/2020 + UIDB/50017/2020 + LA/P/0094/2020) through national funds. D.A. acknowledge the financial support by a Catalan Government Grups de Recerca Consolidats grant (2021 SGR 01195). L.F.-F., C.L., Y.Z. and J.G. are part of the Marine Conservation research group—MedRecover (2021 SGR 01073) from the “Generalitat de Catalunya”Peer reviewedCORA-RDRConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/datasethttp://purl.org/coar/resource_type/c_ddb1Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/397884reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095346-B-I00info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137539OB-C21info:eu-repo/grantAgreement/EC/HE/101093010Figuerola-Ferrando, Laura; Amblas, David; Matos, Fábio L.; Zentner, Yanis; Garrabou, Joaquim; Linares, Cristina. Modelling the Distribution of Key Mediterranean Gorgonians: An Ensemble Approach to Unravel Broad-Scale Patterns and Guide Conservation Efforts. Journal of Biogeography 52(2): 392-407 (2025). https://doi.org/10.1111/jbi.15041. http://hdl.handle.net/10261/380779https://doi.org/10.34810/data1831Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3978842026-05-22T06:33:51Z
dc.title.none.fl_str_mv Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
title Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
spellingShingle Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
Figuerola-Ferrando, Laura
Benthic species
Conservation
Distribution
Ecological niche models
Gorgonians
Marine habitat-forming species
Mediterranean
Species distribution models
Uncertainty
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
title_short Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
title_full Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
title_fullStr Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
title_full_unstemmed Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
title_sort Selection data for modelling the distribution of key Mediterranean gorgonians [Dataset]
dc.creator.none.fl_str_mv Figuerola-Ferrando, Laura
Linares, Cristina
Amblas, David
Matos, Fábio L.
Zentner, Yanis
Garrabou, Joaquim
author Figuerola-Ferrando, Laura
author_facet Figuerola-Ferrando, Laura
Linares, Cristina
Amblas, David
Matos, Fábio L.
Zentner, Yanis
Garrabou, Joaquim
author_role author
author2 Linares, Cristina
Amblas, David
Matos, Fábio L.
Zentner, Yanis
Garrabou, Joaquim
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Benthic species
Conservation
Distribution
Ecological niche models
Gorgonians
Marine habitat-forming species
Mediterranean
Species distribution models
Uncertainty
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
topic Benthic species
Conservation
Distribution
Ecological niche models
Gorgonians
Marine habitat-forming species
Mediterranean
Species distribution models
Uncertainty
http://metadata.un.org/sdg/14
Conserve and sustainably use the oceans, seas and marine resources for sustainable development
description This dataset includes georeferenced data relevant to four Mediterranean gorgonians* Eunicella singularis, Eunicella cavolini, Paramuricea clavata,* and* Corallium rubrum*. It was used to model their habitat suitability index and uncertainty within the Mediterranean shallow and mesophotic depths (< 150 m) together with environmental predictors selected according to their potential relevance for the ecology of these species
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/dataset
http://purl.org/coar/resource_type/c_ddb1
Publisher's version
info:eu-repo/semantics/publishedVersion
format dataset
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/397884
url http://hdl.handle.net/10261/397884
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
#PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095346-B-I00
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2022-137539OB-C21
info:eu-repo/grantAgreement/EC/HE/101093010
Figuerola-Ferrando, Laura; Amblas, David; Matos, Fábio L.; Zentner, Yanis; Garrabou, Joaquim; Linares, Cristina. Modelling the Distribution of Key Mediterranean Gorgonians: An Ensemble Approach to Unravel Broad-Scale Patterns and Guide Conservation Efforts. Journal of Biogeography 52(2): 392-407 (2025). https://doi.org/10.1111/jbi.15041. http://hdl.handle.net/10261/380779
https://doi.org/10.34810/data1831
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv CORA-RDR
publisher.none.fl_str_mv CORA-RDR
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_ 1869420146247860224
score 15,811543

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