학술논문
Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning.
Document Type
Academic Journal
Author
van der Plas F; Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany. fonsvanderplas@gmail.com.; Schröder-Georgi T; Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.; Weigelt A; Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Barry K; Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Meyer S; Terrestrial Ecology Research Group, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.; Alzate A; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Barnard RL; Agroécologie, AgroSup Dijon, INRA, Université Bourgogne, Université Bourgogne Franche-Comté, Dijon, France.; Buchmann N; ETH Zurich, Zurich, Switzerland.; de Kroon H; Department of Experimental Plant Ecology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, the Netherlands.; Ebeling A; Institute of Ecology and Evolution, University Jena, Jena, Germany.; Eisenhauer N; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Institute of Biology, Leipzig University, Leipzig, Germany.; Engels C; Humboldt-Universität zu Berlin, Berlin, Germany.; Fischer M; Institute of Plant Sciences, University of Bern, Bern, Switzerland.; Gleixner G; Max Planck Institute for Biogeochemistry, Jena, Germany.; Hildebrandt A; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Helmholtz Centre for Environmental Research-UFZ, Leipzig, Germany.; Friedrich-Schiller-University Jena, Jena, Germany.; Koller-France E; Geoecology, University of Tübingen, Tübingen, Germany.; Leimer S; Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany.; Milcu A; Ecotron Européen de Montpellier, Centre National de la Recherche Scientifique, Montferrier-sur-Lez, France.; Centre d'Ecologie Fonctionnelle et Evolutive, CNRS-Université de Montpellier-Université Paul-Valéry Montpellier-EPHE, Montpellier, France.; Mommer L; Plant Ecology and Nature Conservation group, Wageningen University, Wageningen, the Netherlands.; Niklaus PA; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, Switzerland.; Oelmann Y; Geoecology, University of Tübingen, Tübingen, Germany.; Roscher C; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Department of Physiological Diversity, UFZ, Helmholtz Centre for Environmental Research, Leipzig, Germany.; Scherber C; Institute of Landscape Ecology, University of Münster, Münster, Germany.; Centre for Biodiversity Monitoring, Zoological Research Museum Alexander Koenig, Bonn, Germany.; Scherer-Lorenzen M; Geobotany, Faculty of Biology, University of Freiburg, Freiburg, Germany.; Scheu S; Centre of Biodiversity and Sustainable Land Use, University of Göttingen, Göttingen, Germany.; J.F. Blumenbach Institute of Zoology and Anthropology, Animal Ecology, University of Göttingen, Göttingen, Germany.; Schmid B; Department of Geography, University of Zurich, Zurich, Switzerland.; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.; Schulze ED; Max Planck Institute for Biogeochemistry, Jena, Germany.; Temperton V; Leuphana University Lüneburg, Institute of Ecology, Universitätsallee 1, Lüneburg, Germany.; Tscharntke T; Agroecology, Dept. of Crop Sciences, University of Göttingen, Göttingen, Germany.; Voigt W; Institute of Ecology and Evolution, University Jena, Jena, Germany.; Weisser W; Terrestrial Ecology Research Group, School of Life Sciences Weihenstephan, Technical University of Munich, Munich, Germany.; Wilcke W; Institute of Geography and Geoecology, Karlsruhe Institute of Technology, Karlsruhe, Germany.; Wirth C; Systematic Botany and Functional Biodiversity, Life Science, Leipzig University, Leipzig, Germany.; German Centre for Integrative Biodiversity Research, Halle-Jena-Leipzig, Leipzig, Germany.; Max Planck Institute for Biogeochemistry, Jena, Germany.
Source
Publisher: Springer Nature Country of Publication: England NLM ID: 101698577 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2397-334X (Electronic) Linking ISSN: 2397334X NLM ISO Abbreviation: Nat Ecol Evol Subsets: MEDLINE
Subject
Language
English
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 number of traits analysed, the average percentage of variation in ecosystem properties jointly explained was only moderate (32.6%) within individual years, and even much lower (12.7%) across years. Most other studies linking ecosystem properties to plant traits analysed no more than six traits and, when including only six traits in our analysis, the average percentage of variation explained in across-year levels of ecosystem properties dropped to 4.8%. Furthermore, we found on average only 12.2% overlap in significant predictors among ecosystem properties, indicating that a small set of key traits able to explain multiple ecosystem properties does not exist. Our results therefore suggest that there are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.