@article{fdi:010064878,
  title = {{M}odeling ofbeta diversity in tunisian waters : predictions using generalized dissimilarity modeling and bioregionalisation using fuzzy clustering},
  author = {{L}asram, {F}. {B}. and {H}attab, {T}. and {H}alouani, {G}. and {R}omdhane, {M}. {S}. and {L}e {L}oc'h, {F}ran{\c{c}}ois},
  editor = {},
  language = {{ENG}},
  abstract = {{S}patial patterns of beta diversity are a major focus of ecology. {T}hey can be especially valuable in conservation planning. {I}n this study, we used a generalized dissimilarity modeling approach to analyze and predict the spatial patterns of beta diversity for commercially exploited, demersal marine species assemblages along the {T}unisian coasts. {F}or this study, we used a presence/absence dataset which included information on 174 species (invertebrates and fishes) and 9 environmental variables. {W}e first performed the modeling analyses and assessed beta diversity using the turnover component of the {J}accard's dissimilarity index. {W}e then performed nonmetric multidimensional scaling to map predicted beta diversity. {T}o delineate the biogeographical regions, we used fuzzy cluster analysis. {F}inally, we also identified a set of indicator species which characterized the species assemblages in each identified biogeographical region. {T}he predicted beta diversity map revealed two patterns: an inshore-offshore gradient and a south-north latitudinal gradient. {T}hree biogeographical regions were identified and 14 indicator species. {T}hese results constitute a first contribution of the bioregionalisation of the {T}unisian waters and highlight the issues associated with current fisheries management zones and conservation strategies. {R}esults could be useful to follow an {E}cosystem {B}ased {M}anagement approach by proposing an objective spatial partitioning of the {T}unisian waters. {T}his partitioning could be used to prioritize the adjustment of the actual fisheries management entities, identify current data gaps, inform future scientific surveys and improve current {MPA} network.},
  keywords = {{TUNISIE} ; {MEDITERRANEE} ; {GABES} {GOLFE}},
  booktitle = {},
  journal = {{P}los {O}ne},
  volume = {10},
  numero = {7},
  pages = {e0131728 [16 ]},
  ISSN = {1932-6203},
  year = {2015},
  DOI = {10.1371/journal.pone.0131728},
  URL = {https://www.documentation.ird.fr/hor/fdi:010064878},
}