Multivariate analyses in soil microbial ecology : a new paradigm

Article, Other literature type OPEN
Thioulouse, J. ; Prin, Y. ; Duponnois, Robin (2012)
  • Related identifiers: doi: 10.1007/s10651-012-0198-z
  • Subject: | Rhizosphère | Biologie du sol | Coinertia analysis | Micro-organisme du sol | Fertilité du sol | | | Fertilisation | | | multivariate data analysis | P34 - Biologie du sol | P35 - Fertilité du sol | Méthode statistique | | couverture du sol | | | Relation plante sol | | Mycorrhizal symbiosis | Interactions biologiques | Soil microbial diversity | Mycorhizé | | Biodiversité | | | Microbiologie | Écologie microbienne | P33 - Chimie et physique du sol | Descriptive | | Symbiose | Propriété physicochimique du sol | | BGA | | ade4

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.
Share - Bookmark