Using multitable techniques for assessing Phytoplankton Structure and Succession in the Reservoir Marne (Seine Catchment Area, France)

Frédéric Bertrand (1) , Myriam Maumy-Bertrand (1) , Anne Rolland (2) , Stéphan Jacquet (2)

1 IRMA - Institut de Recherche Mathématique Avancée
2 CARRTEL - Centre Alpin de Recherche sur les Réseaux Trophiques et Ecosystèmes Limniques

Micro-organisms, especially phytoplankton species, may be considered as potential indicators of local and more global changes in aquatic ecosystems and may thus constitute an excellent biomarker of water quality. Multitable analyses, such as partial triadic analysis and multiple coinertia analysis, are a well suited statistical tool to get a clear representation of the spatial and temporal organization of the assemblages of these different species and hence assess for the existence of changes in water quality. Handling of the few missing data was done using the NIPALS algorithm.

Mots clés: Multitable techniques; Ecology; Phytoplancton

Domaines: Statistiques [math.ST]; Théorie [stat.TH]; Applications [stat.AP]; Méthodologie [stat.ME]

Frédéric Bertrand, Myriam Maumy-Bertrand, Anne Rolland, Stéphan Jacquet. Using multitable techniques for assessing Phytoplankton Structure and Succession in the Reservoir Marne (Seine Catchment Area, France). First joint meeting of the Société Francophone de Classification and the Classification And Data Analysis Groupe of SIS, Jun 2008, Caserta, Italy. ⟨hal-00287691⟩