Predicting diatom reference communities at the French hydrosystem scale: A first step towards the definition of the good ecological status

Ecological Modelling

Volumn 203, Issue 1-2, 2007, Pages 99-108

  Tison, J ^a   Park, Y S ^a,b   Coste, M ^a   Wasson, J G ^a   Rimet, F ^c,d   Ector, L ^c   Delmas, F ^a  

^a CEMAGREF   (France)

^b Kyung Hee University   (South Korea)

^c Centre de Recherche Public Gabriel Lippman   (Luxembourg)

^d Centre de Recherche Public Gabriel Lippman ^*  (France)

Author keywords

Aquatic ecosystem management; Artificial neural network; Classification; Community patterns; Diatom community; Prediction

Indexed keywords

HYDROGRAPHIC SURVEYS; MULTILAYER NEURAL NETWORKS; REGULATORY COMPLIANCE; RESTORATION; SELF ORGANIZING MAPS;

ANTHROPOGENIC PRESSURE; AQUATIC ECOSYSTEM MANAGEMENT; COMMUNITY PATTERNS; DIATOM COMMUNITY;

ECOSYSTEMS;

AQUATIC ECOSYSTEM; COMMUNITY COMPOSITION; COMMUNITY DYNAMICS; DIATOM; ECOREGION; ENVIRONMENTAL CONDITIONS; PREDICTION; SENSITIVITY ANALYSIS;

EURASIA; EUROPE; FRANCE; WESTERN EUROPE;

BACILLARIOPHYTA;

EID: 34147112172     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2006.02.047     Document Type: Article

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