@article{fdi:010058165,
  title = {{M}ultivariate analyses in soil microbial ecology : a new paradigm},
  author = {{T}hioulouse, {J}. and {P}rin, {Y}. and {D}uponnois, {R}obin},
  editor = {},
  language = {{ENG}},
  abstract = {{M}ycorrhizal symbiosis is a key component of a sustainable soil-plant system, governing the cycles of major plant nutrients and vegetation cover. {T}he mycorrhizosphere includes plants roots, the mycorrhizal fungi, and a complex microbial compartment. {A} large number of methods have been used to characterize the genetic and functional diversity of these soil microbial communities. {W}e present here a review of the multivariate data analysis methods that have been used in 16 research articles published in the 2005-2009 period. "{D}escriptive" multivariate data analysis methods have been priviledged over classical "predictive" methods and univariate statistical tests. {D}ata sets, multivariate data analysis methods, graphical outputs and interpretation results are presented and explained in details on several examples coming from some of the 16 articles. {T}hese multivariate and graphical methods are available in the ade4 package for the {R} statistical software. {T}he discussion underlines the importance of using appropriate statistical methods to obtain a good description of soil microbiological and biochemical indicators and a good evaluation of soil quality.},
  keywords = {{M}ycorrhizal symbiosis ; {S}oil microbial diversity ; {D}escriptive ; multivariate data analysis ; {BGA} ; {C}oinertia analysis ; ade4},
  booktitle = {},
  journal = {{E}nvironmental and {E}cological {S}tatistics},
  volume = {19},
  numero = {4},
  pages = {499--520},
  ISSN = {1352-8505},
  year = {2012},
  DOI = {10.1007/s10651-012-0198-z},
  URL = {https://www.documentation.ird.fr/hor/fdi:010058165},
}