Project:BB|658

Title
Application and development of evolutionary algorithms for the optimalisation of predictive models of macroinvertebrates in rivers.
Acronym
 
URL
StartDate
2001-10-01
EndDate
2005-09-30
Amount
 

Abstract

Predictive models are developed for river ecosystem management. Data from Flemish ecological and hydrological databases are used as well as data obtained from monitoring of the Zwalm and Dender River Basin. Evolutionary algorithms are linked with other modeling techniques (Artificial Neural Networks, classification trees,…) for the development of a spatio-temporal model predicting macroinvertebrates based on a limited number of environmental variables.

Keywords

macroinvertebrates, evolutionary algorithms, limnology, modelling

Classifications

Belgium {Geographical scope}
Inland Waters {Habitat type}

People

Name Role Start End
De Pauw, Niels promotor
Goethals, Peter co-promotor

Orgunits

Name Role Start End
Laboratory of Environmental Toxicology and Aquatic Ecology leader

Collaborations

Name Role Start End
Development and application of neural network models predicting macroinvertebrate communities for assessment and restoration. partner

created:2011-12-14 14:18:59 UTC, source:iweto

© 2012 by the Belgian Biodiversity Platform