@article{fdi:010061485,
  title = {{T}he challenge of delineating biogeographical regions : nestedness matters for {I}ndo-{P}acific coral reef fishes},
  author = {{M}ouillot, {D}. and {D}e {B}ortoli, {J}ulien and {L}eprieur, {F}. and {P}arravicini, {V}aleriano and {K}ulbicki, {M}ichel and {B}ellwood, {D}. {R}.},
  editor = {},
  language = {{ENG}},
  abstract = {{A}im{T}he delineation of regions is a critical procedure in biogeography, but there is still no consensus about the best approach. {T}raditionally, a compositional dissimilarity index and a clustering algorithm are used to partition locations into regions. {H}owever, the choice of index and algorithm may have a profound impact on the final result, particularly when locations display different levels of species richness and when they are nested within each other. {O}ur objective was to estimate the influence of species nestedness among locations on the delineation of biogeographical regions. {L}ocation{A}s a case study, we used coral reef fishes (families {C}haetodontidae, {P}omacentridae and {L}abridae) from the {I}ndo-{P}acific, where a large richness gradient extends, often as a series of nested assemblages, from the species-rich {I}ndo-{A}ustralian {A}rchipelago ({C}oral {T}riangle) to species-poor peripheral locations. {M}ethods{W}e used the turnover and nestedness components of the {SO}rensen and {J}accard dissimilarity indices to estimate the effect of nestedness on the delineation of biogeographical regions. {I}n addition, we compared the results with those obtained using a parsimony analysis of endemicity ({PAE}). {R}esults{L}ow {M}antel correlation values revealed that the {PAE} method assembled locations in a very different way than methods based on dissimilarity indices for {I}ndo-{P}acific coral reef fishes. {W}e also found that nestedness mattered when delineating biogeographical units because, for both the {SO}rensen and the {J}accard indices, reef fish assemblages were grouped differently depending on whether we used the turnover component of each index or the complete index, including the nestedness component. {T}he turnover component ignored variation in species richness attributable to differences in habitat area between locations, and permitted a delineation based solely on species replacement. {M}ain conclusions{W}e demonstrate that the choice of the component used to measure dissimilarity between species assemblages is critical, because it may strongly influence regional delineations, at least for {I}ndo-{P}acific coral reef fishes. {W}e conclude that the two components of the dissimilarity indices can reveal complementary insights into the role that history may have played in shaping extant patterns of biodiversity.},
  keywords = {diversity ; {C}oral {T}riangle ; delineation ; dissimilarity ; {I}ndo-{A}ustralian {A}rchipelago ; nestedness ; {PAE} ; partitioning ; reef fish assemblages ; turnover ; {OCEAN} {INDIEN} ; {OCEAN} {PACIFIQUE}},
  booktitle = {},
  journal = {{J}ournal of {B}iogeography},
  volume = {40},
  numero = {12},
  pages = {2228--2237},
  ISSN = {0305-0270},
  year = {2013},
  DOI = {10.1111/jbi.12194},
  URL = {https://www.documentation.ird.fr/hor/fdi:010061485},
}