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dc.contributor.authorPelayo Villamil, Patricia-
dc.contributor.authorGuisande, Cástor-
dc.contributor.authorPatti, Bernardo-
dc.contributor.authorManjarrés Hernández, Ana-
dc.contributor.authorGarcía Roselló, Emilio-
dc.contributor.authorGonzález Dacosta, Jacinto-
dc.contributor.authorHeine, Ju ̈rgen-
dc.contributor.authorGranado Lorencio, Carlos-
dc.date.accessioned2024-02-21T14:50:35Z-
dc.date.available2024-02-21T14:50:35Z-
dc.date.issued2013-
dc.identifier.citationGuisande, C., Patti, B., Vaamonde, A. et al. Factors affecting species richness of marine elasmobranchs. Biodivers Conserv 22, 1703–1714 (2013). https://doi.org/10.1007/s10531-013-0507-3spa
dc.identifier.issn0960-3115-
dc.identifier.urihttps://hdl.handle.net/10495/38262-
dc.description.abstractABSTRACT: Many studies on elasmobranchs, sharks and batoids (rays, skates and guitarfishes), have focused on the factors responsible for biomass decline, but little attention has been paid to the factors that affect species richness. We used the software package Modestr to determine the geographical distribution of all valid marine elasmobranch species (512 species of sharks and 619 species of batoids), thereby making it possible to determine the species composition of the elasmobranch community in any area worldwide. The primary aim of this study was to identify the factors associated with the species richness of elasmobranchs. The data were analyzed using multiple regressions and Support Vector Machine (SVM) in cells of 189 18 with the analyzed abiotic variables being bathymetry, chlorophyll a, sea surface temperature, photosynthetically available radiation, pH, cloud cover, the concentrations of calcite, silicate, phosphate and nitrate, salinity, particulate organic carbon, diffuse attenuation and dissolved oxygen. The mean area of occupancy of the species was used as an indicator of niche occupancy. The model performed with SVM explained 97 and 99 % of the variance observed in the species richness of batoids and sharks, respectively. Mean area of occupancy, temperature and bathymetry were the variables with a higher contribution to the variance observed in both sharks and batoids. The negative residuals of the model performed with SVM indicated areas with lower than predicted species richness. These may be potential areas with undiscovered and/or unregistered species, or areas with decreased species richness due to the negative effect of anthropogenic factors, i.e. overfishing.spa
dc.format.extent12 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.publisherSpringerspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.rightsinfo:eu-repo/semantics/openAccessspa
dc.titleFactors affecting species richness of marine elasmobranchsspa
dc.typeinfo:eu-repo/semantics/articlespa
dc.publisher.groupGrupo de Ictiologíaspa
dc.identifier.doi10.1007/s10531-013-0507-3-
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.accessrightshttp://purl.org/coar/access_right/c_abf2spa
dc.identifier.eissn1572-9710-
oaire.citationtitleBiodiversity and Conservationspa
oaire.citationstartpage1703spa
oaire.citationendpage1714spa
oaire.citationvolume22spa
dc.rights.creativecommonshttps://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.publisher.placeDordrecht, Países Bajosspa
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1spa
dc.type.redcolhttps://purl.org/redcol/resource_type/ARTspa
dc.type.localArtículo de investigaciónspa
dc.subject.lembTiburones-
dc.subject.lembSharks-
dc.subject.agrovocDiversidad de especies-
dc.subject.agrovocSpecies diversity-
dc.subject.proposalBatoidsspa
dc.subject.agrovocurihttp://aims.fao.org/aos/agrovoc/c_00ba8c53-
dc.description.researchgroupidCOL0078704spa
dc.relation.ispartofjournalabbrevBiodivers. Conserv.spa
Aparece en las colecciones: Artículos de Revista en Ciencias Exactas y Naturales

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