Search Results - "Baran, Philippe"

Optimizing Flow Conditions and Fish Passage Success in Vertical Slot Fishways: Lessons from Fish Behavior Observations by Calluaud, Damien, Cornu, Vincent, Baran, Philippe, Pineau, Gérard, Sagnes, Pierre, David, Laurent

“…This study investigates the behavior of chubs (Squalius cephalus) of mid-body length (9.7–15.6 cm) with respect to turbulent flow conditions in a pool…”
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Main potential drivers of trout population dynamics in bypassed stream sections by Tissot, Laurence, Bret, Victor, Capra, Hervé, Baran, Philippe, Gouraud, Véronique

“…The key role of hydrological variability in structuring brown trout populations is well established. However, the influence of additional drivers is more…”
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Assessing the Efficiency of an Elver Ladder Using a Multi‐State Mark–Recapture Model by Drouineau, H, Rigaud, C, Laharanne, A, Fabre, R, Alric, A, Baran, P

“…The decline of the European eel (Anguilla anguilla) stock has led the European Commission to enforce a regulation (Council Regulation N° 1100/2007), in which…”
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Application of neural networks to modelling nonlinear relationships in ecology by Lek, Sovan, Delacoste, Marc, Baran, Philippe, Dimopoulos, Ioannis, Lauga, Jacques, Aulagnier, Stéphane

“…Two predictive modelling principles are discussed: multiple regression (MR) and neural networks (NN). The MR principle of linear modelling often gives low…”
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Invertebrate accessibility and vulnerability in the analysis of brown trout (Salmo trutta L.) summer habitat suitability by de Billy, V. de Crespin, Dumont, B., Lagarrigue, T., Baran, P., Statzner, B.

“…Water discharge regulation can affect food availability, accessibility and vulnerability and thus, the trophic habitat suitability for lotic salmonids. To…”
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Stochastic models that predict trout population density or biomass on a mesohabitat scale by Baran, P. (Laboratoire d'Ingenierie Agronomique ENSAT, Toulouse (France). Equipe Environnement Aquatique et Aquaculture), Lek, S, Delacoste, M, Belaud, A

“…Neural networks and multiple linear regression models of the abundance of brown trout (Salmo trutta L.) on the mesohabitat scale were developed from…”
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Estimations of trout density and biomass: a neural networks approach by Lek, Sovan, Baran, Philippe

“…In this paper, we report the use of artificial neural networks to predict the density and biomass of trout in the Pyrenees mountains from 8 physical parameters…”
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Application of neural networks to modelling non linear relationships in ecology by Lek, S., Delacoste, M., Baran, Philippe, Dimopoulos, I., Lauga, J., Aulagnier, Stephane

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