1998
DOI: 10.1051/kmae:1998050
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Stabilité temporelle des structures spatiales des peuplements piscicoles des régions Languedoc-Roussillon et Provence-Alpes-Côte d'Azur

Abstract: (THIOULOUSE et CHESSEL, 1987 ;BLANC et al., 1998) et l'Analyse Factorielle des Correspondances de FOUCART (1978, 1983. Quelle que soit la méthode utilisée, une structure spatiale espèces-stations commune aux différentes dates a été mise en évidence. La première oppose principalement des stations à truite aux stations à cyprinidés et révèle un double effet de régionalisation. La deuxième a mis en évidence une structure amont-aval proche de celles des schémas ichtyologiques de référence (HUET, 1954 ;VERNEAUX, 19… Show more

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Cited by 10 publications
(6 citation statements)
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“…We also used Foucart' FCA analysis, based on a logic of FCA, which allows approaching three-dimensional data type: species-sampling sites-campaigns. It lets demonstrating the effectiveness of this method as an objective way to organize sampling sites according to the similarities between their stands and to appreciate how species react to environmental factors (Blanc and Beaudou, 1998;Blanc, 2000;Taybi, 2016;Mabrouki et al, 2019a).…”
Section: Methodsmentioning
confidence: 99%
“…We also used Foucart' FCA analysis, based on a logic of FCA, which allows approaching three-dimensional data type: species-sampling sites-campaigns. It lets demonstrating the effectiveness of this method as an objective way to organize sampling sites according to the similarities between their stands and to appreciate how species react to environmental factors (Blanc and Beaudou, 1998;Blanc, 2000;Taybi, 2016;Mabrouki et al, 2019a).…”
Section: Methodsmentioning
confidence: 99%
“…Foucart' FCA, based on a logic of FCA, allows approaching three-dimensional data type: species-stationscampaigns. Although the application examples in ecology are relatively rare, its use demonstrates the effectiveness of this method as a judicious way of organizing stations according to the similarities between their stands and to appreciate how their species react to environmental factors (Baran, 1995;Gaertner, 1997;Blanc and Beaudou, 1998;Blanc, 2000;Taybi, 2016).…”
Section: Approach Methodsmentioning
confidence: 99%
“…Partial Triadic Analysis (PTA), used with such multi-table data, was computed to elucidate temporal patterns of the phytoplankton community composition (Figure 2, package ade4 for R, Dray et al, 2007). This method allows simultaneous principal component analyses of a set of tables by searching for an average temporal structure called compromise, and studying the spatial stability of this structure (Blanc and Beaudou, 1998). In addition to the analysis performed at genus level, the PTA was also carried out at upper levels (e.g.…”
Section: Multivariate Analyses Of Phytoplankton Community Compositionmentioning
confidence: 99%