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Combining literature-based and data-driven fuzzy models to predict brown trout (salmo trutta l.) spawning habitat degradation induced by climate change

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Combining literature-based and data-driven fuzzy models to predict brown trout (salmo trutta l.) spawning habitat degradation induced by climate change

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Muñoz Mas, R.; Marcos-García, P.; Lopez-Nicolas, A.; Martínez-García, F.; Pulido-Velazquez, M.; Martinez-Capel, F. (2018). Combining literature-based and data-driven fuzzy models to predict brown trout (salmo trutta l.) spawning habitat degradation induced by climate change. Ecological Modelling. 386:98-114. https://doi.org/10.1016/j.ecolmodel.2018.08.012

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/111245

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Title: Combining literature-based and data-driven fuzzy models to predict brown trout (salmo trutta l.) spawning habitat degradation induced by climate change
Author: Muñoz Mas, Rafael Marcos-García, Patricia Lopez-Nicolas,A. Martínez-García, F.J. Pulido-Velazquez, M. Martinez-Capel, Francisco
UPV Unit: 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
Universitat Politècnica de València. Instituto Universitario de Ingeniería del Agua y del Medio Ambiente - Institut Universitari d'Enginyeria de l'Aigua i Medi Ambient
Issued date:
Abstract:
[EN] A fuzzy rule-based system combining empirical data on hydraulic preferences and literature information on temperature requirements was used to foresee the brown trout (Salmo trutta L.) spawning habitat degradation ...[+]
Subjects: Differential evolution , HBV-light , M5 , Multi-Adaptive Regression Splines , Support Vector Regression , Takagi-Sugeno-Kang fuzzy rule-based system
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Ecological Modelling. (issn: 0304-3800 )
DOI: 10.1016/j.ecolmodel.2018.08.012
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.ecolmodel.2018.08.012
Project ID:
info:eu-repo/grantAgreement/MINECO//CGL2013-48424-C2-1-R/ES/ADAPTACION AL CAMBIO GLOBAL EN SISTEMAS DE RECURSOS HIDRICOS/
Thanks:
The study has been partially funded by the IMPADAPT project (CGL2013-48424-C2-1-R) with Spanish MINECO (Ministerio de Economía y Competitividad) and FEDER funds and by the Confederación Hidrográfica del Júcar (Spanish ...[+]
Type: Artículo

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