2018
DOI: 10.1002/eco.1961
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Development of eco‐hydraulic model for assessing fish habitat and population status in freshwater ecosystems

Abstract: An eco‐hydraulic model is described, namely, “WW‐Eco‐tools.” The model is composed of hydro‐morpho‐dynamic, habitat, and population models. Fish habitat suitability models assess habitat quality, based on abiotic parameters, namely, flow velocity, depth, and substratum data. These are all derived from a hydro‐morpho‐dynamic model. The relationships between parameters and habitat features are represented as suitability index curves (SI curves) or fuzzy rules. To dynamically simulate fish species, two different … Show more

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Cited by 22 publications
(9 citation statements)
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“…Although, evaluating the river restoration strategies also rely on both the pre and post-monitoring data, this data of the Chin-sha River at current stage has hampered progress in practical understanding of the physical processes. However, as numerical modelling has successful improved the river restorations (Zhang et al, 2016(Zhang et al, , 2016aYao et al, 2018), the overall accuracy and performance of our numerical model gives confidence in the numerical model.…”
Section: Comparison Of Restoration Schemessupporting
confidence: 52%
“…Although, evaluating the river restoration strategies also rely on both the pre and post-monitoring data, this data of the Chin-sha River at current stage has hampered progress in practical understanding of the physical processes. However, as numerical modelling has successful improved the river restorations (Zhang et al, 2016(Zhang et al, , 2016aYao et al, 2018), the overall accuracy and performance of our numerical model gives confidence in the numerical model.…”
Section: Comparison Of Restoration Schemessupporting
confidence: 52%
“…Two population models were used, including a logistic population model and a matrix population model (Yao, 2016; Yao et al, 2018; Yao & Chen, 2018). The logistic population model is as follows:Pt+normalΔtFgoodbreak=β×WUAt+normalΔtF×PtF×eα×)(OSIt+normalΔtFgoodbreak−OSItFβ×WUAt+normalΔtF+PtF×)(eα×)(OSIt+normalΔtFgoodbreak−OSItFgoodbreak−1,where PtF and Pt+normalΔtF are population numbers at time t and t + Δ t for fish species F; α and β are model empirical parameters chosen as described by Yao (2016) ( α is 5 and 8 for S.P.…”
Section: Methodsmentioning
confidence: 99%
“…This metric is calculated as the product of habitat area (i.e., cell size) and habitat suitability summed across a study domain (Bovee, 1986). Some studies have also nondimensionalized this index by dividing it by the area of the study domain (Benjankar et al, 2018;Mouton et al, 2007;Yao, Bui, & Rutschmann, 2018). Despite its widespread use, the WUA index has been highly criticized for lacking statistical certainty (Williams, 1996), interpretability (Mather, Bason, Purdy, & Silver, and biological meaning (Railsback, 2016).…”
Section: Changes In Physical Habitat Conditions Associated With Lost Sustained and Gained Microhabitatmentioning
confidence: 99%