Eel Density Analysis (EDA2.x): a statistic model to assess European eel (Anguilla Anguilla) escapement in a river network

EDA 2.x (Eel Density Analysis) is a modelling tool which allows the prediction of yellow eel densities and silver eel escapement. The model is based on a geo-localized river network database the CCM (Catchment Characterisation and Modelling) (Vogt et al., 2007, 2008) for Europe in the POSE project a...

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Bibliographic Details
Main Authors: Jouanin, Céline, Briand, Cédric, Beaulaton, Laurent, Lambert, Patrick
Other Authors: Ecosystèmes estuariens et poissons migrateurs amphihalins (UR EPBX), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institution d'aménagement de la Vilaine, Institution d'aménagement de la Vilaine (IAV), Agence Française pour la Biodiversité (AFB), National Recherche (partenariat avec la sphère publique (sans AO)), irstea, ONEMA
Format: Report
Language:French
Published: HAL CCSD 2012
Subjects:
UGA
EDA
Online Access:https://hal.inrae.fr/hal-02597525
https://hal.inrae.fr/hal-02597525/document
https://hal.inrae.fr/hal-02597525/file/pub00036398.pdf
Description
Summary:EDA 2.x (Eel Density Analysis) is a modelling tool which allows the prediction of yellow eel densities and silver eel escapement. The model is based on a geo-localized river network database the CCM (Catchment Characterisation and Modelling) (Vogt et al., 2007, 2008) for Europe in the POSE project and the RHT (Réseau Hydrographique Théorique) (Pella et al., in press) for France. The model is applied on 5 Eel Management Unit (EMU) located in several European countries and in France on 10 EMU. The principle of the model is (1) to relate observed yellow eel densities to different parameters: sampling methods, environmental conditions (distance from the sea, relative distance, temperature, elevation…), anthropogenic conditions (obstacles, land use,.) and time (year trends), (2) to extrapolate the yellow eel densities in each reach of river network by applying the statistical model calibrated in step 1, (3) to calculate the overall yellow eel stock abundance by multiplying these densities by the water surface of the reaches and by summing them (4) to calculate a potential silver eel escapement by converting the yellow eel stock estimated in step 3 into silver eel stock (5) to assess the silver eel escapement by substracting silver eel mortalities (turbines, fisheries) known or estimated (6) to give an estimate of the pristine escapement by running the EDA model with anthropogenic conditions artificially set to zero and time variable sets before 1980. EDA 2.x (Eel Density Analysis) est un outil de modélisation qui permet de prédire les densités d’anguilles jaunes et l’échappement d’anguilles argentées. Il est basé, dans le cadre du projet POSE, sur le réseau hydrographique géoréférencé européen CCM v2.1 (Catchment Characterisation and Modelling) (Vogt et al., 2007, 2008) et, au niveau national, sur le Réseau Hydrographique Théorique (RHT, Pella et al., in press) afin de tester ce modèle, respectivement sur 5 Unités de Gestion Anguille (UGA) Européens et sur 10 UGA françaises. Le principe de cette approche est (1) de ...