Back to overview

Using plant functional traits to explain diversity-productivity relationships.

Type of publication Peer-reviewed
Publikationsform Original article (peer-reviewed)
Publication date 2012
Author Roscher Christiane, Schumacher Jens, Gubsch Marlén, Lipowsky Annett, Weigelt Alexandra, Buchmann Nina, Schmid Bernhard, Schulze Ernst-Detlef,
Project Mechanisms underlying plant community productivity, stability and assembly (D-A-CH/LAE)
Show all

Original article (peer-reviewed)

Journal PloS one
Volume (Issue) 7(5)
Page(s) 36760 - 36760
Title of proceedings PloS one
DOI 10.1371/journal.pone.0036760

Open Access

Type of Open Access Publisher (Gold Open Access)


BACKGROUND The different hypotheses proposed to explain positive species richness-productivity relationships, i.e. selection effect and complementarity effect, imply that plant functional characteristics are at the core of a mechanistic understanding of biodiversity effects. METHODOLOGY/PRINCIPAL FINDINGS We used two community-wide measures of plant functional composition, (1) community-weighted means of trait values (CWM) and (2) functional trait diversity based on Rao's quadratic diversity (FD(Q)) to predict biomass production and measures of biodiversity effects in experimental grasslands (Jena Experiment) with different species richness (2, 4, 8, 16 and 60) and different functional group number and composition (1 to 4; legumes, grasses, small herbs, tall herbs) four years after establishment. Functional trait composition had a larger predictive power for community biomass and measures of biodiversitity effects (40-82% of explained variation) than species richness per se (<1-13% of explained variation). CWM explained a larger amount of variation in community biomass (80%) and net biodiversity effects (70%) than FD(Q) (36 and 38% of explained variation respectively). FD(Q) explained similar proportions of variation in complementarity effects (24%, positive relationship) and selection effects (28%, negative relationship) as CWM (27% of explained variation for both complementarity and selection effects), but for all response variables the combination of CWM and FD(Q) led to significant model improvement compared to a separate consideration of different components of functional trait composition. Effects of FD(Q) were mainly attributable to diversity in nutrient acquisition and life-history strategies. The large spectrum of traits contributing to positive effects of CWM on biomass production and net biodiversity effects indicated that effects of dominant species were associated with different trait combinations. CONCLUSIONS/SIGNIFICANCE Our results suggest that the identification of relevant traits and the relative impacts of functional identity of dominant species and functional diversity are essential for a mechanistic understanding of the role of plant diversity for ecosystem processes such as aboveground biomass production.