001     10922
005     20180208222441.0
024 7 _ |2 DOI
|a 10.1016/j.ppees.2010.11.001
024 7 _ |2 WOS
|a WOS:000290244400001
037 _ _ |a PreJuSER-10922
041 _ _ |a eng
082 _ _ |a 580
084 _ _ |2 WoS
|a Plant Sciences
084 _ _ |2 WoS
|a Ecology
100 1 _ |0 P:(DE-HGF)0
|a Roscher, C.
|b 0
245 _ _ |a Plant resource-use characteristics as predictors for species contribution to community biomass in experimental grasslands
260 _ _ |a München
|b Elsevier
|c 2011
300 _ _ |a 1 - 13
336 7 _ |a Journal Article
|0 PUB:(DE-HGF)16
|2 PUB:(DE-HGF)
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|0 0
|2 EndNote
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a article
|2 DRIVER
440 _ 0 |0 25347
|a Perspectives in plant ecoloy evolution and systematics
|v 13
|y 1
500 _ _ |a We thank the many people who helped with the management of the experiment, establishment and maintenance of the "plant individual garden", plant and soil sampling and preparation for chemical analyses in particular Ulrike Wehmeier and the gardeners Steffen Eismann, Silke Hengelhaupt, Sylvia Junghans and Heike Scheffler. Ines Hilke and Sandra Matthaei conducted chemical analyses. The Jena Experiment is funded by the German Research Foundation (FOR 456) with additional support from the Friedrich Schiller University Jena and the Max Planck Society. We thank M.A. Huston and an anonymous reviewer for their valuable comments which helped to improve the manuscript.
520 _ _ |a Increasing productivity of mixtures as compared to monocultures has been reported from numerous experimental studies, but so far the variable contribution of individual species to higher mixture productivity in biodiversity experiments is not well understood. To address this issue, we quantified the productivity of 60 species in monocultures and mixtures of varying species richness (2, 4, 8, 16, 60) and functional group number and composition (1, 2, 3,4; legumes, grasses, small herbs, tall herbs) and tested how species properties are related to species performance in mixtures in the third year after sowing. We analysed monoculture biomass, plant biomass from separately grown plant individuals (=estimate of plant growth rates), and the monoculture resource-use characteristics canopy height and structure (leaf area index) as indicators for light acquisition, and soil nitrate concentration (=estimate of depletion of plant available nitrogen) and biomass:N ratios (=estimate of biomass produced per unit plant N) as indicators for nitrogen acquisition and use. High monoculture productivity was related to different combinations of resource-use characteristics. The biomass of a species and its proportional contribution to mixture biomass correlated positively with species relative yields, suggesting that highly productive mixture species were most important for an overyielding of mixtures. Although monoculture biomass was a significant predictor for species performance in mixtures except for grasses, a combination of monoculture biomass, plant growth rates and resource-use traits associated with nutrient and light acquisition explained non-legume species performance best. Legume performance was best associated with their monoculture biomass and traits associated with light acquisition. In spite of the fact that high species performance in mixtures was associated with a species' competitive ability as represented by monoculture productivity, growth rates and resource-use traits, our results suggest that species uniqueness in resource acquisition strategies increases the chance for niche differentiation among overyielding species. (C) 2010 Elsevier GmbH. All rights reserved.
536 _ _ |0 G:(DE-Juel1)FUEK407
|2 G:(DE-HGF)
|a Terrestrische Umwelt
|c P24
|x 0
588 _ _ |a Dataset connected to Web of Science
650 _ 7 |2 WoSType
|a J
653 2 0 |2 Author
|a Biomass:N ratio
653 2 0 |2 Author
|a Light interception
653 2 0 |2 Author
|a Plant height
653 2 0 |2 Author
|a Productivity
653 2 0 |2 Author
|a Relative yield
653 2 0 |2 Author
|a Soil nitrate depletion
700 1 _ |0 P:(DE-HGF)0
|a Scherer-Lorenzen, M.
|b 1
700 1 _ |0 P:(DE-HGF)0
|a Schumacher, J.
|b 2
700 1 _ |0 P:(DE-Juel1)129409
|a Temperton, V. M.
|b 3
|u FZJ
700 1 _ |0 P:(DE-HGF)0
|a Buchmann, N.
|b 4
700 1 _ |0 P:(DE-HGF)0
|a Schulze, E.-D.
|b 5
773 _ _ |0 PERI:(DE-600)2038178-5
|a 10.1016/j.ppees.2010.11.001
|g Vol. 13, p. 1 - 13
|p 1 - 13
|q 13<1 - 13
|t Perspectives in plant ecology, evolution and systematics
|v 13
|x 1433-8319
|y 2011
856 7 _ |u http://dx.doi.org/10.1016/j.ppees.2010.11.001
909 C O |o oai:juser.fz-juelich.de:10922
|p VDB
913 1 _ |0 G:(DE-Juel1)FUEK407
|a DE-HGF
|b Erde und Umwelt
|k P24
|l Terrestrische Umwelt
|v Terrestrische Umwelt
|x 0
913 2 _ |0 G:(DE-HGF)POF3-582
|1 G:(DE-HGF)POF3-580
|2 G:(DE-HGF)POF3-500
|a DE-HGF
|b Key Technologies
|l Key Technologies for the Bioeconomy
|v Plant Science
|x 0
914 1 _ |y 2011
915 _ _ |0 StatID:(DE-HGF)0040
|2 StatID
|a Peer review unknown
915 _ _ |0 StatID:(DE-HGF)0100
|2 StatID
|a JCR
915 _ _ |0 StatID:(DE-HGF)0111
|2 StatID
|a WoS
|b Science Citation Index Expanded
915 _ _ |0 StatID:(DE-HGF)0150
|2 StatID
|a DBCoverage
|b Web of Science Core Collection
915 _ _ |0 StatID:(DE-HGF)0199
|2 StatID
|a DBCoverage
|b Thomson Reuters Master Journal List
920 1 _ |0 I:(DE-Juel1)ICG-3-20090406
|d 31.10.2010
|g ICG
|k ICG-3
|l Phytosphäre
|x 1
970 _ _ |a VDB:(DE-Juel1)121610
980 _ _ |a VDB
980 _ _ |a ConvertedRecord
980 _ _ |a journal
980 _ _ |a I:(DE-Juel1)IBG-2-20101118
980 _ _ |a UNRESTRICTED
981 _ _ |a I:(DE-Juel1)IBG-2-20101118
981 _ _ |a I:(DE-Juel1)ICG-3-20090406


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21