Factors affecting species richness of marine elasmobranchs
Guisande, C.; Patti, B.; Vaamonde, A.; Manjarrés-Hernández, A.; Pelayo-Villamil, P.; García-Roselló, E.; González-Dacosta, J.; Heine, J.; Granado-Lorencio, C. (2013). Factors affecting species richness of marine elasmobranchs. Biodivers. Conserv. 22(8): 1703-1714. https://dx.doi.org/10.1007/s10531-013-0507-3
In: Biodiversity and Conservation. Kluwer Academic Publishers/Springer: London. ISSN 0960-3115; e-ISSN 1572-9710, more
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| Authors | | Top |
- Guisande, C.
- Patti, B.
- Vaamonde, A.
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- Manjarrés-Hernández, A.
- Pelayo-Villamil, P.
- García-Roselló, E.
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- González-Dacosta, J.
- Heine, J.
- Granado-Lorencio, C.
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| 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 1º× 1º 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. |
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