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Global patterns in biodiversity in marine sediments. Modelling of nematode communities
Dutch title: Globale patronen van biodiversiteit in mariene sedimenten. Modelleren van nematodengemeenschappen
Funder identifier: 1133008N (Other contract id)
Period: October 2005 till September 2007
Status: Completed

Thesaurus terms Artificial neural networks; Biodiversity; Marine
Taxonomic term: Nematoda [WoRMS]
 Institutes 
Institutes (2) Top 
  • Universiteit Gent; Faculteit Wetenschappen; Vakgroep Biologie; Onderzoeksgroep Mariene Biologie (MARBIOL), more
  • Vlaamse overheid; Beleidsdomein Economie, Wetenschap en Innovatie; Fonds voor Wetenschappelijk Onderzoek - Vlaanderen (FWO), more, sponsor
Abstract
Two data driven models (Species assembly rules and Artificial Neural Networks) will be used to analyse (1) which parameters define meiobenthic communities on a large geographical scale, (2) the importance of local varying parameters in a small geographical area and (3) the importance of biological interactions for the resulting community. This will result in a predictive model, useful in biomonitoring.
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