Por favor, use este identificador para citar o enlazar este ítem: https://hdl.handle.net/10495/38262
Título : Factors affecting species richness of marine elasmobranchs
Autor : Pelayo Villamil, Patricia
Guisande, Cástor
Patti, Bernardo
Manjarrés Hernández, Ana
García Roselló, Emilio
González Dacosta, Jacinto
Heine, Ju ̈rgen
Granado Lorencio, Carlos
metadata.dc.subject.*: Tiburones
Sharks
Diversidad de especies
Species diversity
Batoids
http://aims.fao.org/aos/agrovoc/c_00ba8c53
Fecha de publicación : 2013
Editorial : Springer
Citación : Guisande, 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/s10531-013-0507-3
Resumen : ABSTRACT: 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.
metadata.dc.identifier.eissn: 1572-9710
ISSN : 0960-3115
metadata.dc.identifier.doi: 10.1007/s10531-013-0507-3
Aparece en las colecciones: Artículos de Revista en Ciencias Exactas y Naturales

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