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Random forests to evaluate interspecific interactions in fish distribution models

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Random forests to evaluate interspecific interactions in fish distribution models

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dc.contributor.author Vezza, Paolo es_ES
dc.contributor.author Muñoz Mas, Rafael es_ES
dc.contributor.author Martinez-Capel, Francisco es_ES
dc.contributor.author Mouton, A. es_ES
dc.date.accessioned 2016-02-29T16:09:22Z
dc.date.available 2016-02-29T16:09:22Z
dc.date.issued 2015-05
dc.identifier.issn 1364-8152
dc.identifier.uri http://hdl.handle.net/10251/61257
dc.description.abstract [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. es_ES
dc.description.sponsorship 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. en_EN
dc.language Inglés es_ES
dc.publisher Elsevier es_ES
dc.relation MINECO/SCARCE/CONSOLIDER-INGENIO/CSD2009-00065 es_ES
dc.relation MEC/POTECOL/CGL2007-66412 es_ES
dc.relation.ispartof Environmental Modelling and Software es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Biotic interactions es_ES
dc.subject Random forests es_ES
dc.subject Squalius es_ES
dc.subject Barbus es_ES
dc.subject Species distribution modelling es_ES
dc.subject Mesohabitat es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Random forests to evaluate interspecific interactions in fish distribution models es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1016/j.envsoft.2015.01.005
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/275577/EU
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation 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 es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Hidráulica y Medio Ambiente - Departament d'Enginyeria Hidràulica i Medi Ambient es_ES
dc.description.bibliographicCitation 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. doi:10.1016/j.envsoft.2015.01.005 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.envsoft.2015.01.005 es_ES
dc.description.upvformatpinicio 173 es_ES
dc.description.upvformatpfin 183 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 67 es_ES
dc.relation.senia 298484 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad (MINECO)
dc.contributor.funder Ministerio de Medio Ambiente, y Medio Rural y Marino (MARM)
dc.contributor.funder Confederación Hidrográfica del Júcar (CHJ)
dc.contributor.funder Ministerio de Educación y Ciencia (MEC)
dc.contributor.funder European Commission


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