Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Random forests to evaluate biotic interactions in fish distribution models
Año:2015
Áreas de investigación
  • Biología vegetal, animal y ecología
Datos
Descripción
Previous research indicated that high predictive performance in species distribution modelling can be obtained by combining both biotic and abiotic habitat variables. However, models developed for fish often only address physical habitat characteristics, thus omitting potentially important biotic factors. Therefore, we assessed the impact of biotic variables on fish habitat preferences in four selected stretches of the upper Cabriel River (E Spain). The occurrence of Squalius pyrenaicus and Luciobarbus guiraonis was related to environmental variables describing biotic interactions (inferred by relationships among fish abundances) and channel hydro-morphological characteristics. Random Forests (RF) models were trained and then validated using independent datasets. To build RF models, the conditional variable importance was used together with the model improvement ratio technique. The procedure showed effectiveness in identifying a parsimonious set of not correlated variables, which minimize noise and improve model performance in both training and validation phases. Water depth, channel width, fine substrate and water-surface gradient were selected as most important habitat variables for both fish. Results showed clear habitat overlapping between fish species and suggest that competition is not a strong factor in the study area
Internacional
Si
JCR del ISI
Si
Título de la revista
Environmental Modelling & Software
ISSN
1364-8152
Factor de impacto JCR
4,538
Información de impacto
Volumen
DOI
10.1016/j.envsoft.2015.01.005
Número de revista
Desde la página
173
Hasta la página
183
Mes
SIN MES
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Participantes
  • Autor: Paolo Vezza (University of Southampton)
  • Autor: Rafael Muñoz MAs (Universidad Politécnica de Valencia)
  • Autor: Francisco Martínez Capel (UPM)
  • Autor: Ans M. Mouton (Ghent University)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Hidrobiología
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