2018
DOI: 10.1016/j.ecolmodel.2018.08.012
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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

Abstract: 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.

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Cited by 22 publications
(11 citation statements)
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References 110 publications
(186 reference statements)
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“…The effect of the WUA and HHS when the reservoir inflow is equal to outflow. A total of eight scenarios (20,40,60,80,100,120,140, and 160 m 3 /s) were simulated for the same reservoir inflow and outflow. The habitat ecological suitability is the best when the reservoir outflow is 120 m 3 /s.…”
Section: Suitable Ecological Flow Discussionmentioning
confidence: 99%
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“…The effect of the WUA and HHS when the reservoir inflow is equal to outflow. A total of eight scenarios (20,40,60,80,100,120,140, and 160 m 3 /s) were simulated for the same reservoir inflow and outflow. The habitat ecological suitability is the best when the reservoir outflow is 120 m 3 /s.…”
Section: Suitable Ecological Flow Discussionmentioning
confidence: 99%
“…CE-QUAL-W2 simulated the water temperature stratification of reservoirs under different inflows and outflows. The simulation results of velocity, water depth, and water temperature were used to construct a fuzzy model [31,40] to comprehensively analyze the effects of the three factors on C. idella spawning. The simulation results of the fuzzy logic-based habitat suitability model were analyzed and evaluated by WUA and HHS, and the best flow management scenario in the study area was finally obtained.…”
Section: Model Frameworkmentioning
confidence: 99%
“…Mouton et al, ; Muñoz‐Mas, Papadaki et al, ; Theodoropoulos et al, ). FRBSs are accurate and interpretable models because their accuracy is not at the expense of complex mathematical structures (Muñoz‐Mas, Marcos‐Garcia et al, ). Their simplicity allows experts to modify the resulting FRBSs to cover a wider range of environmental conditions and/or variables (Mouton et al, ; Muñoz‐Mas, Marcos‐Garcia et al, ).…”
Section: Methodsmentioning
confidence: 99%
“…FRBSs are accurate and interpretable models because their accuracy is not at the expense of complex mathematical structures (Muñoz‐Mas, Marcos‐Garcia et al, ). Their simplicity allows experts to modify the resulting FRBSs to cover a wider range of environmental conditions and/or variables (Mouton et al, ; Muñoz‐Mas, Marcos‐Garcia et al, ). This emphasises the usefulness of fuzzy logic to deal with the vague, imprecise and scarce data, typical of impoverished or extirpated freshwater fish populations (Muñoz‐Mas, Papadaki et al, ).…”
Section: Methodsmentioning
confidence: 99%
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