Document Detail

BUGS in the analysis of biodiversity experiments: species richness and composition are of similar importance for grassland productivity.
MedLine Citation:
PMID:  21399688     Owner:  NLM     Status:  MEDLINE    
The idea that species diversity can influence ecosystem functioning has been controversial and its importance relative to compositional effects hotly debated. Unfortunately, assessing the relative importance of different explanatory variables in complex linear models is not simple. In this paper we assess the relative importance of species richness and species composition in a multilevel model analysis of net aboveground biomass production in grassland biodiversity experiments by estimating variance components for all explanatory variables. We compare the variance components using a recently introduced graphical Bayesian ANOVA. We show that while the use of test statistics and the R² gives contradictory assessments, the variance components analysis reveals that species richness and composition are of roughly similar importance for primary productivity in grassland biodiversity experiments.
Andy Hector; Thomas Bell; Yann Hautier; Forest Isbell; Marc Kéry; Peter B Reich; Jasper van Ruijven; Bernhard Schmid
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2011-03-02
Journal Detail:
Title:  PloS one     Volume:  6     ISSN:  1932-6203     ISO Abbreviation:  PLoS ONE     Publication Date:  2011  
Date Detail:
Created Date:  2011-03-14     Completed Date:  2011-07-05     Revised Date:  2013-06-30    
Medline Journal Info:
Nlm Unique ID:  101285081     Medline TA:  PLoS One     Country:  United States    
Other Details:
Languages:  eng     Pagination:  e17434     Citation Subset:  IM    
Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.
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MeSH Terms
Analysis of Variance
Bayes Theorem
Least-Squares Analysis
Likelihood Functions
Models, Biological
Poaceae / growth & development*
Species Specificity

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