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Memorias de investigación
Artículos en revistas:
Can multilayer perceptron ensembles model the ecological niche of freshwater fish species?
Año:2015
Áreas de investigación
  • Hidrología,
  • Biología vegetal, animal y ecología
Datos
Descripción
The potential of Multilayer Perceptron (MLP) Ensembles to explore the ecology of freshwater fish species was tested by applying the technique to redfin barbel (Barbus haasi Mertens, 1925), an endemic and montane species that inhabits the North-East quadrant of the Iberian Peninsula. Two different MLP Ensembles were developed. The physical habitat model considered only abiotic variables, whereas the biotic model also included the density of the accompanying fish species and several invertebrate predictors. The results showed that MLP Ensembles may outperform single MLPs. Moreover, active selection of MLP candidates to create an optimal subset of MLPs can further improve model performance. The physical habitat model confirmed the redfin barbel preference for middle-to-upper river segments whereas the importance of depth confirms that redfin barbel prefers pool-type habitats. Although the biotic model showed higher uncertainty, it suggested that redfin barbel, European eel and the considered cyprinid species have similar habitat requirements. Due to its high predictive performance and its ability to deal with model uncertainty, the MLP Ensemble is a promising tool for ecological modelling or habitat suitability prediction in environmental flow assessment.
Internacional
Si
JCR del ISI
Si
Título de la revista
Ecological Modelling
ISSN
0304-3800
Factor de impacto JCR
2,326
Información de impacto
Volumen
DOI
10.1016/j.ecolmodel.2015.04.025
Número de revista
Desde la página
72
Hasta la página
81
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Rafael Muñoz-Mas (Universidad Politécnica de Valencia)
  • Autor: Francisco Martínez Capel (UPM)
  • Autor: Juan Diego Alcaraz Hernández (Universidad Politécnica de Valencia)
  • Autor: A.M Mouton (Research Institute for Nature and Forest (INBO),Brussels, Belgium)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Hidrobiología
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