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Título

FactorsR: An RWizard application for identifying the most likely causal factors in controlling species

AutorGuisande, Cástor; Heine, Juergen; García-Roselló, Emilio; González-Dacosta, Jacinto; García Pérez-Schofield, Baltasar J.; González-Vilas, Luis; Vaamonde, Antonio; Lobo, Jorge M.
Palabras claveSpecies richness
Patch distribution
Terrestrial carnivores
Fecha de publicación16-nov-2015
EditorMultidisciplinary Digital Publishing Institute
CitaciónDiversity 7(4) 385-396 (2015)
ResumenWe herein present FactorsR, an RWizard application which provides tools for the identification of the most likely causal factors significantly correlated with species richness, and for depicting on a map the species richness predicted by a Support Vector Machine (SVM) model. As a demonstration of FactorsR, we used an assessment using a database incorporating all species of terrestrial carnivores, a total of 249 species, distributed across 12 families. The model performed with SVM explained 91.9% of the variance observed in the species richness of terrestrial carnivores. Species richness was higher in areas with both higher vegetation index and patch index, i.e., containing higher numbers of species whose range distribution is less fragmented. Lower species richness than expected was observed in Chile, Madagascar, Sumatra, Taiwan, and Sulawesi.
Versión del editorhttp://dx.doi.org/10.3390/d7040385
URIhttp://hdl.handle.net/10261/127799
DOI10.3390/d7040385
E-ISSN1424-2818
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