Publication: Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning
Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning
Date
Date
Date
2020
Journal Article
Published version
Citations
...
Abstract
Abstract
Abstract
Earth is home to over 350,000 vascular plant species that differ in their traits in innumerable ways. A key challenge is to predict how natural or anthropogenically driven changes in the identity, abundance and diversity of co-occurring plant species drive important ecosystem-level properties such as biomass production or carbon storage. Here, we analyse the extent to which 42 different ecosystem properties can be predicted by 41 plant traits in 78 experimentally manipulated grassland plots over 10 years. Despite the unprecedented num
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1166 since deposited on 2021-02-11
1139last week
Acq. date: 2025-11-12
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104 since deposited on 2021-02-11
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Acq. date: 2025-11-12
Additional indexing
Creators (Authors)
- van der Plas, Fons
- Schröder-Georgi, Thomas
- Weigelt, Alexandra
- Barry, Kathryn
- Meyer, Sebastian
- Alzate, Adriana
- Barnard, Romain L
- Buchmann, Nina
- de Kroon, Hans
- Ebeling, Anne
- Eisenhauer, Nico
- Engels, Christof
- Fischer, Markus
- Gleixner, Gerd
- Hildebrandt, Anke
- Koller-France, Eva
- Leimer, Sophia
- Milcu, Alexandru
- Mommer, Liesje
- Niklaus, Pascal A
- Oelmann, Yvonne
- Roscher, Christiane
- Scherber, Christoph
- Scherer-Lorenzen, Michael
- Scheu, Stefan
- Schmid, Bernhard
- Schulze, Ernst-Detlef
- Temperton, Vicky
- Tscharntke, Teja
- Voigt, Winfried
Volume
Volume
Volume
4
Number
Number
Number
12
Page range/Item number
Page range/Item number
Page range/Item number
1602
Page end
Page end
Page end
1611
Item Type
Item Type
Item Type
Journal Article
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
English
Publication date
Publication date
Publication date
2020-12-01
Date available
Date available
Date available
2021-02-11
ISSN or e-ISSN
ISSN or e-ISSN
ISSN or e-ISSN
2397-334X
OA Status
OA Status
OA Status
Green
Publisher DOI
Metrics
Downloads
1166 since deposited on 2021-02-11
1139last week
Acq. date: 2025-11-12
Views
104 since deposited on 2021-02-11
103last week
Acq. date: 2025-11-12
Citations
...
Green Open Access
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