Mostrar el registro sencillo del ítem
dc.contributor.author | Muñoz Mas, Rafael | es_ES |
dc.contributor.author | Martinez-Capel, Francisco | es_ES |
dc.contributor.author | Garófano-Gómez, Virginia | es_ES |
dc.contributor.author | Mouton, A.M. | es_ES |
dc.date.accessioned | 2014-12-10T14:22:15Z | |
dc.date.available | 2014-12-10T14:22:15Z | |
dc.date.issued | 2014-09 | |
dc.identifier.issn | 1364-8152 | |
dc.identifier.uri | http://hdl.handle.net/10251/45307 | |
dc.description.abstract | Probabilistic Neural Networks (PNN) have been tested for the first time in microhabitat suitability modelling for adult brown trout (Salmo trutta L.). The impact of data prevalence on PNN was studied. The PNN were evaluated in an independent river and the applicability of PNN to assess the environmental flow was analysed. Prevalence did not affect significantly the results. However PNN presented some limitations regarding the output range. Our results agreed previous studies because trout preferred deep microhabitats with medium-to-coarse substrate whereas velocity showed a wider suitable range. The 0.5 prevalence PNN showed similar classificatory capability than the 0.06 prevalence counterpart and the outputs covered the whole feasible range (from 0 to 1), but the 0.06 prevalence PNN showed higher generalisation because it performed better in the evaluation and it allowed a better modulation of the environmental flow. PNN has demonstrated to be a tool to be into consideration. | es_ES |
dc.description.sponsorship | The authors would like to thank the Spanish Ministry of Economy and Competitiveness for its financial support through the SCARCE project (Consolider-Ingenio 2010 CSD2009-00065). We are grateful to the colleagues who worked in the field and in the preliminary data analyses, especially Marta Bargay, Aina Hernandez and David Argibay. The works were partially funded by the Confederacion Hidrografica del Jucar (Spanish Ministry of Agriculture, Food and Environment), that also provided hydrological and environmental information about the study sites. The authors also thank the Direccion General del Agua and INFRAECO for the cession of the microhabitat data. Finally, we also thank Javier Ferrer, Teodoro Estrela and Onofre Gabaldo (Confederacion Hidrografica del Jucar) for their help and the data provided. Thanks to Grieg Davies for the academic review of English. | en_EN |
dc.language | Inglés | 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 | Brown trout | es_ES |
dc.subject | Mediterranean rivers | es_ES |
dc.subject | Microhabitat suitability | es_ES |
dc.subject | Prevalence | es_ES |
dc.subject | Probabilistic Neural Networks | es_ES |
dc.subject | Spatially explicit evaluation | es_ES |
dc.subject.classification | TECNOLOGIA DEL MEDIO AMBIENTE | es_ES |
dc.title | Application of Probabilistic Neural Networks to microhabitat suitability modelling for adult brown trout (Salmo trutta L.) in Iberian rivers | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.envsoft.2014.05.003 | |
dc.relation.projectID | 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/ | es_ES |
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 | Muñoz Mas, R.; Martinez-Capel, F.; Garófano-Gómez, V.; Mouton, A. (2014). Application of Probabilistic Neural Networks to microhabitat suitability modelling for adult brown trout (Salmo trutta L.) in Iberian rivers. Environmental Modelling and Software. 59:30-43. https://doi.org/10.1016/j.envsoft.2014.05.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.envsoft.2014.05.003 | es_ES |
dc.description.upvformatpinicio | 30 | es_ES |
dc.description.upvformatpfin | 43 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 59 | es_ES |
dc.relation.senia | 267991 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |
dc.contributor.funder | Confederación Hidrográfica del Júcar | es_ES |