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Environmental and Ecological Statistics

, Volume 19, Issue 4, pp 499–520 | Cite as

Multivariate analyses in soil microbial ecology: a new paradigm

  • Jean ThioulouseEmail author
  • Yves Prin
  • Robin Duponnois
Article

Abstract

Mycorrhizal symbiosis is a key component of a sustainable soil-plant system, governing the cycles of major plant nutrients and vegetation cover. The 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. We present here a review of the multivariate data analysis methods that have been used in 16 research articles published in the 2005–2009 period. “Descriptive” multivariate data analysis methods have been priviledged over classical “predictive” methods and univariate statistical tests. Data 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. These multivariate and graphical methods are available in the ade4 package for the R statistical software. The 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

Mycorrhizal symbiosis Soil microbial diversity Descriptive multivariate data analysis BGA Coinertia analysis ade4 

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Copyright information

© Springer Science+Business Media, LLC 2012

Authors and Affiliations

  1. 1.Université de Lyon, 69000 Lyon; Université Lyon 1; CNRS, UMR 5558, Laboratoire de Biométrie et Biologie EvolutiveVilleurbanne CedexFrance
  2. 2.Laboratoire des Symbioses Tropicales et MéditerranéennesUMR 113 CIRAD, IRD, Université Montpellier 2, SupAgro, USC INRAMontpellier Cedex 5France

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