Predicting aquatic ecosystem quality using artificial neural networks: impact of environmental characteristics on the structure of aquatic communities (algae, benthic and fish fauna).
Socio principal: UNIVERSITE PAUL SABATIER DE TOULOUSE III
Socios participantes: AGRICULTURAL RESEARCH DEPARTMENT ; AUSTRIAN RESEARCH CENTERS SIEBERDORF ; CENTRE DE RECHERCHE PUBLIC - GABRIEL LIPPMAN ; CENTRE NATIONAL DU MACHINISME AGRICOLE, DU GENIE RURAL, DES EAUX ET DES FORETS ; FACULTES UNIVERSITAIRES NOTRE-DAME DE LA PAIX DE NAMUR ; THE UNIVERSITY OF PHARMACEUTICAL SCIENCES ; Università di Bari
Programa: Fifth Framework Programme
Inicio del proyecto: Wed, 01/03/2000
Finalización del proyecto: Fri, 28/02/2003
The goal of the project is to develop general methodologies, based on advanced modelling techniques which will be utilised both for assessing the ecosystem status, and predicting structure and diversity of key aquatic communities (benthic diatoms, benthic micro-invertebrates and fish), under natural (i.e. undisturbed by human activities) and under man-made disturbance (i.e. submitted to various pollutions, discharge regulation, etc.).