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dc.contributor.author
Roscher, Christiane
dc.contributor.author
Schumacher, Jens
dc.contributor.author
Gubsch, Marlén
dc.contributor.author
Lipowsky, Annett
dc.contributor.author
Weigelt, Alexandra
dc.contributor.author
Buchmann, Nina
dc.contributor.author
Schmid, Bernhard
dc.contributor.author
Schulze, Ernst-Detlef
dc.date.accessioned
2018-09-20T09:15:05Z
dc.date.available
2017-06-10T02:00:12Z
dc.date.available
2018-09-20T09:15:05Z
dc.date.issued
2012-05-18
dc.identifier.issn
1932-6203
dc.identifier.other
10.1371/journal.pone.0036760
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/50990
dc.identifier.doi
10.3929/ethz-b-000050990
dc.description.abstract
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 (FDQ) 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 FDQ (36 and 38% of explained variation respectively). FDQ 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 FDQ led to significant model improvement compared to a separate consideration of different components of functional trait composition. Effects of FDQ 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.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Public Library of Science
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/3.0/
dc.title
Using Plant Functional Traits to Explain Diversity-Productivity Relationships
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 3.0 Unported
ethz.journal.title
PLoS ONE
ethz.journal.volume
7
en_US
ethz.journal.issue
5
en_US
ethz.journal.abbreviated
PLoS ONE
ethz.pages.start
e36760
en_US
ethz.size
11 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.nebis
006206116
ethz.publication.place
San Francisco, CA, USA
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03648 - Buchmann, Nina / Buchmann, Nina
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science::02703 - Institut für Agrarwissenschaften / Institute of Agricultural Sciences::03648 - Buchmann, Nina / Buchmann, Nina
ethz.date.deposited
2017-06-10T02:00:33Z
ethz.source
ECIT
ethz.identifier.importid
imp59364f5eed25177989
ethz.ecitpid
pub:83218
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-07-13T19:21:01Z
ethz.rosetta.lastUpdated
2021-02-15T01:49:05Z
ethz.rosetta.versionExported
true
ethz.COinS
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