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Predictive modelling of coastal habitats using remote sensing data and fuzzy logic: A case for seaweed in Brittany (France) ArchiMer
De Oliveira, Eric; Populus, Jacques; Guillaumont, Brigitte.
The aim of this study is to model the seaweed species distribution with respect to environmental parameters. We focused on fixed species of algae, such as fucoids. Firstly, we identified environmental parameters, such as substratum nature, immersion time, exposure, etc., which determine the seaweed distribution. Secondly, we used field sampling to compute the distribution laws for seaweed according to the environmental parameters selected. Thirdly, we used the distribution laws and the environmental parameters to perform predictive mapping of seaweed belts with a fuzzy logic method. Seaweed presence is directly dependent on the nature of the substratum. In the intertidal domain we used an alternative, because seaweed beds can be observed directly. We...
Tipo: Text Palavras-chave: Fussy logic; Mapping; Bentic habitats; Intertidal seaweed.
Ano: 2006 URL: http://archimer.ifremer.fr/doc/2006/publication-2279.pdf
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