FactorsR: An RWizard Application for Identifying the Most Likely Causal Factors in Controlling Species Richness
by
Cástor Guisande 1,*, Juergen Heine 2, Emilio García-Roselló 2, Jacinto González-Dacosta 2, Baltasar J. García Perez-Schofield 3, Luis González-Vilas 1, Antonio Vaamonde 4 and Jorge M. Lobo 5
Cástor Guisande 1,*, Juergen Heine 2, Emilio García-Roselló 2, Jacinto González-Dacosta 2, Baltasar J. García Perez-Schofield 3, Luis González-Vilas 1, Antonio Vaamonde 4 and Jorge M. Lobo 5
1
Facultad de Ciencias del Mar, Universidad de Vigo, Campus Lagoas-Marcosende s/n, 36310 Vigo, Spain
2
Department of Computer Science, Universidad de Vigo, Campus Lagoas-Marcosende s/n, 36310 Vigo, Spain
3
Escuela Superior de Ingeniería Informática, Edificio Politécnico s/n, Campus As Lagoas, Universidad de Vigo, 32004 Orense, Spain
4
Departamento de Estadística e Investigación Operativa Facultad de CCEE y Empresariales, Universidad de Vigo, Torrecedeira 105, 36208 Vigo, Spain
5
Departamento de Biogeografía y Cambio Global, Museo Nacional de Ciencias Naturales (CSIC), c/José Gutiérrez Abascal 2, 28006 Madrid, Spain
*
Author to whom correspondence should be addressed.
Academic Editor: Michael Wink
Diversity 2015, 7(4), 385-396; https://doi.org/10.3390/d7040385
Received: 29 August 2015 / Revised: 27 October 2015 / Accepted: 5 November 2015 / Published: 16 November 2015
(This article belongs to the Special Issue Biodiversity Informatics)
We 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.
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Keywords:
species richness; patch distribution; terrestrial carnivores
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MDPI and ACS Style
Guisande, C.; Heine, J.; García-Roselló, E.; González-Dacosta, J.; Perez-Schofield, B.J.G.; González-Vilas, L.; Vaamonde, A.; Lobo, J.M. FactorsR: An RWizard Application for Identifying the Most Likely Causal Factors in Controlling Species Richness. Diversity 2015, 7, 385-396.
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