The quantification of management impacts on fish populations requires
a reliable estimation of the local hydraulic habitat variability. In t
he case of complex natural flows, deterministic hydraulic models are e
xpensive and not adapted to the description of local velocities. Stati
stical descriptions of the velocity distribution as a function of easi
ly obtained input variables are therefore an attractive alternative. E
xisting velocity data on several French stream segments with intermedi
ate- to large-scale roughness were analyzed statistically to define a
shape parameter of the point velocity frequency distributions. Dimensi
onal analysis was used to model this shape parameter, and thereby the
velocity distributions, as a function of simple average descriptors of
stream reaches (discharge, mean roughness, mean depth, and mean width
). Such predictive models of the physical habitat availability for fis
h in the probability domain can provide stream managers with cost-effe
ctive decision tools.