Vezza, P.; Muñoz Mas, R.; Martinez-Capel, F.; Mouton, A. (2015). Random forests to evaluate interspecific interactions in fish distribution models. Environmental Modelling and Software. 67:173-183. https://doi.org/10.1016/j.envsoft.2015.01.005
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/61257
Title:
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Random forests to evaluate interspecific interactions in fish distribution models
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Author:
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Vezza, Paolo
Muñoz Mas, Rafael
Martinez-Capel, Francisco
Mouton, A.
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UPV Unit:
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Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres
Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient
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Issued date:
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Abstract:
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[EN] 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 ...[+]
[EN] 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.
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Subjects:
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Biotic interactions
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Random forests
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Squalius
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Barbus
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Species distribution modelling
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Mesohabitat
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Environmental Modelling and Software. (issn:
1364-8152
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DOI:
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10.1016/j.envsoft.2015.01.005
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.envsoft.2015.01.005
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Project ID:
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info:eu-repo/grantAgreement/MICINN//CSD2009-00065/ES/Evaluación y predicción de los efectos del cambio global en la cantidad y la calidad del agua en ríos ibéricos/
info:eu-repo/grantAgreement/EC/FP7/275577/EU/Environmental River Management: An Innovative Holistic Approach for Mediterranean Streams/
info:eu-repo/grantAgreement/MEC//CGL2007-66412/ES/EVALUACION DEL POTENCIAL ECOLOGICO DE RIOS REGULADOS POR EMBALSES Y DESARROLLO DE CRITERIOS PARA SU MEJORA SEGUN LA DIRECTIVA MARCO DEL AGUA./
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Thanks:
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This research has been developed in the framework of the HolRiverMed project (FP7-PEOPLE-2010-275577, Marie Curie Actions, Intra-European Fellowships) and the SCARCE project (Assessing and predicting effects on water ...[+]
This research has been developed in the framework of the HolRiverMed project (FP7-PEOPLE-2010-275577, Marie Curie Actions, Intra-European Fellowships) and the SCARCE project (Assessing and predicting effects on water quantity and quality in Iberian rivers caused by global change, Consolider-Ingenio 2010 CSD2009-00065). Data collection was partially funded by the Spanish Ministry of Environment, Rural and Marine Affairs, the Jucar River Basin District Authority and the Spanish Ministry of Education and Science (POTECOL, CGL2007-66412). We thank Juan Diego Alacaraz-Hernandez, Matias Peredo-Parada and Aina Hernandez-Mascarell for their help with field work and suggestions on data analysis.
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Type:
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Artículo
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