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Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers

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Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers

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dc.contributor.author Mouton, A.M. es_ES
dc.contributor.author Alcaraz-Hernández, Juan Diego es_ES
dc.contributor.author De Baets, B. es_ES
dc.contributor.author Goethals, , P.L.M es_ES
dc.contributor.author Martinez-Capel, Francisco es_ES
dc.date.accessioned 2013-11-08T10:32:30Z
dc.date.issued 2010-12-30
dc.identifier.issn 1364-8152
dc.identifier.uri http://hdl.handle.net/10251/33329
dc.description.abstract [EN] In recent years, fuzzy models have been acknowledged as a suitable approach for species distribution modelling due to their transparency and their ability to incorporate the ecological gradient theory. Specifically, the overlapping class boundaries of a fuzzy model are similar to the transitions between different environmental conditions. However, the need for ecological expert knowledge is an important constraint when applying fuzzy species distribution models. Moreover, the consistency of the ecological preferences of some fish species across different rivers has been widely contested. Recent research has shown that data-driven fuzzy models may solve this `knowledge acquisition bottleneck¿ and this paper is a further contribution. The aim was to analyse the brown trout (Salmo trutta fario L.) habitat preferences based on a data-driven fuzzy modelling technique and to compare the resulting fuzzy models with a commonly applied modelling technique, Random Forests. A heuristic nearest ascent hill-climbing algorithm for fuzzy rule optimisation and Random Forests were applied to analyse the ecological preferences of brown trout in 93 mesohabitats. No significant differences in model performance were observed between the optimal fuzzy model and the Random Forests model and both approaches selected river width, the cover index and flow velocity as the most important variables describing brown trout habitat suitability. Further, the fuzzy model combined ecological relevance with reasonable interpretability, whereas the transparency of the Random Forests model was limited. This paper shows that fuzzy models may be a valid approach for species distribution modelling and that their performance is comparable to that of state-of-the-art modelling techniques like Random Forests. Fuzzy models could therefore be a valuable decision support tool for river managers and enhance communication between stakeholders. es_ES
dc.description.sponsorship Ans Mouton was a recipient of a Ph.D. grant financed by the Special Research Fund of Ghent University. The data acquisition was partially funded by the Conselleria de Medio Ambiente, Agua, Urbanismo y Vivienda, of the Generalitat Valenciana, Spain. Matias Peredo, Pau Lucio, Rafael Casas, Pascual Puerto, Javier Izquierdo, Consuelo Perez and Rosa de la Salud participated in the field surveys.
dc.language Español es_ES
dc.publisher Elsevier es_ES
dc.relation.ispartof Environmental Modelling and Software es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Fuzzy model es_ES
dc.subject Fish es_ES
dc.subject Brown trout es_ES
dc.subject Mediterranean rivers es_ES
dc.subject Habitat suitability es_ES
dc.subject Machine learning es_ES
dc.subject Ecological knowledge es_ES
dc.subject Random forests es_ES
dc.subject.classification TECNOLOGIA DEL MEDIO AMBIENTE es_ES
dc.title Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers es_ES
dc.type Artículo es_ES
dc.embargo.lift 10000-01-01
dc.embargo.terms forever es_ES
dc.identifier.doi 10.1016/j.envsoft.2010.12.001
dc.rights.accessRights Cerrado 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 Mouton, A.; Alcaraz-Hernández, JD.; De Baets, B.; Goethals, ,P.; Martinez-Capel, F. (2010). Data-driven fuzzy habitat suitability models for brown trout in Spanish Mediterranean rivers. Environmental Modelling and Software. 26:615-622. doi:10.1016/j.envsoft.2010.12.001 es_ES
dc.description.accrualMethod Senia es_ES
dc.relation.publisherversion http://dx.doi.org/10.1016/j.envsoft.2010.12.001 es_ES
dc.description.upvformatpinicio 615 es_ES
dc.description.upvformatpfin 622 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 26 es_ES
dc.relation.senia 39771


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