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 population models are developed. The first is converted from a logistic
population concept. Its model parameters are related to time‐dependent fish habitat
conditions, namely, weighted usable areas and an overall suitability index. The second
model is based on a matrix population concept, with numbers as the only state vector.
Age‐specific fecundities and survival rates depend on the habitat qualities defined in
the matrix population model. The eco‐hydraulic model provides very promising results,
highlighting the fundamental role of temporal variability of hydro‐morphological
parameters in structuring habitat and populations of fish species. Using this software
to anticipate water management changes, simulated population trends can help
decision‐makers optimize management measures.
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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 spe...
»