Modeling of Beta Diversity in Tunisian Waters: Predictions Using Generalized Dissimilarity Modeling and Bioregionalisation Using Fuzzy Clustering.

摘要: Spatial patterns of beta diversity are a major focus ecology. They can be especially valuable in conservation planning. In this study, we used generalized dissimilarity modeling approach to analyze and predict the spatial for commercially exploited, demersal marine species assemblages along Tunisian coasts. For presence/absence dataset which included information on 174 (invertebrates fishes) 9 environmental variables. We first performed analyses assessed using turnover component Jaccard’s index. then nonmetric multidimensional scaling map predicted diversity. To delineate biogeographical regions, fuzzy cluster analysis. Finally, also identified set indicator characterized each region. The revealed two patterns: an inshore-offshore gradient south-north latitudinal gradient. Three regions were 14 species. These results constitute contribution bioregionalisation waters highlight issues associated with current fisheries management zones strategies. Results could useful follow Ecosystem Based Management by proposing objective partitioning waters. This prioritize adjustment actual entities, identify data gaps, inform future scientific surveys improve MPA network.