@article{fdi:010037847,
  title = {{A}n operational, additive framework for species diversity partitioning and beta-diversity analysis},
  author = {{P}{\'e}lissier, {R}apha{\¨e}l and {C}outeron, {P}ierre},
  editor = {},
  language = {{ENG}},
  abstract = {{A}n important goal of community ecology is the assessment of factors that are likely to influence the spatio-temporal distribution of species assemblages and diversity. {S}urprisingly, most statistical methods devoted to this have remained poorly interconnected, as well as poorly connected with the popular metrics of diversity estimation. {I}n the present paper we show that important questions related to determinants of species diversity can be specified through a simple multivariate linear model and explored, in common diversity metrics, using standard methods and routines of variance/covariance decomposition. {T}hanks to an unusual form of presentation of taxonomic data into a table of species occurrences, which considers the individuals as data units, {S}hannon and {S}impson indices as well as species richness can all be expressed as a (weighted) sum of squares. {S}ubsequent apportionments into explained and residual sum of squares provide direct estimates of the beta- and alpha-diversity components with respect to either categorical habitat types or continuous gradient variables. {A}ppropriate statistics and non-parametric tests are available to assess the significance of these components. {E}xplicit analytical relationships exist between the linear approximation of the table of species occurrences by sampling sites, and the more classical table of species abundances by sites. {T}herefore, direct links with methods of ordination in reduced space, such as correspondence analysis and canonical correspondence analysis, provide opportunities for partitions that preserve consistency with usual diversity indices. {T}he sum of squares of the approximated occurrence table provides measures of intersites beta-diversity, from which measures of dissimilarity with explicit references to diversity indices can be derived. {S}uch measures are amenable to distance-based apportionments through multivariate variograms and multiscale ordination. {W}hat are the relative effects of the biological, environmental and anthropogenic factors and of their potential interactions on species diversity? {A}re these effects stable across scales, from landscape to region, between regions and across ecosystems? {T}he methodological integration proposed in our analytical framework enables one to address these questions using standard statistical tools, and opens new prospects for quantitative biodiversity studies. {T}his also paves the way towards refined models for predicting species diversity at unsampled locations.},
  keywords = {additive diversity partitioning ; alpha and beta diversity components ; dissimilarity ; generalized linear model ; ordination ; spatial scale ; species occurrence table ; variograms},
  booktitle = {},
  journal = {{J}ournal of {E}cology},
  volume = {95},
  numero = {2},
  pages = {294--300},
  ISSN = {0022-0477},
  year = {2007},
  DOI = {10.1111/j.1365-2745.2007.01211.x},
  URL = {https://www.documentation.ird.fr/hor/fdi:010037847},
}