期刊
ECOLOGICAL MODELLING
卷 386, 期 -, 页码 98-114出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.ecolmodel.2018.08.012
关键词
Differential evolution; HBV-light; MS; Multi-Adaptive Regression Splines; Support Vector Regression; Takagi-Sugeno-Kang fuzzy rule-based system
类别
资金
- IMPADAPT project [CGL2013-48424-C2-1-R]
- Spanish MINECO (Ministerio de Economia y Competitividad)
- FEDER funds
- Confederacion Hidrografica del Jucar (Spanish Ministry of Agriculture, Food and Environment)
- EU programme of Erasmus Traineeships, at the Dept. of Hydraulic Engineering and Environment, Universitat Politecnica de Valencia
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 induced by climate change. The climatic scenarios for the Cabriel River (Eastern Iberian Peninsula) corresponded to two Representative Concentration Pathways (4.5 and 8.5) for the short (2011-2040) and mid (2041-2070) term horizons. The hydraulic and hydrologic modelling were undertaken with process-based numerical models (i.e., River2D(C) and HBV-light) while the water temperature was modelled by assembling the predictions of three machine learning techniques (M5, Multi-Adaptive Regression Splines and Support Vector Regression). The predicted rise in the water temperature will not be compensated by the more benign lower flows. Consequently, the suitable spawning habitat will be reduced between 15.4-48.7%. The entire population shall suffer the effects of climate change and will probably be extirpated from the downstream segments of the river.
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