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A novel framework for linking functional diversity of plants with other trophic levels for the quantification of ecosystem services
Authors:Sandra Lavorel  Jonathan Storkey  Richard D Bardgett  Francesco de Bello  Matty P Berg  Xavier Le Roux  Marco Moretti  Christian Mulder  Robin J Pakeman  Sandra Díaz  Richard Harrington
Institution:1. Laboratoire d'Ecologie Alpine, CNRS UMR 5553, Université Joseph Fourier, , 38041 Grenoble, Cedex 9, France;2. AgroEcology Department, Rothamsted Research, , Harpenden, Herts, AL5 2JQ UK;3. Faculty of Life Sciences, Michael Smith Building, The University of Manchester, , Manchester, M13 9PT UK;4. Institute of Botany, Czech Academy of Sciences, , CZ‐379 82 T?eboň, Czech Republic;5. Department of Ecological Science, VU University Amsterdam, , 1081 HV Amsterdam, the Netherlands;6. Laboratoire d'Ecologie Microbienne, Université de Lyon, Université Lyon 1, INRA (USC 1193), CNRS (UMR 5557), , 69622 Villeurbanne, France;7. Swiss Federal Research Institute WSL, Community Ecology, , CH‐6500 Bellinzona, Switzerland;8. Centre for Sustainability, Environment and Health, RIVM, , Bilthoven, 3720 BA the Netherlands;9. The James Hutton Institute, , Aberdeen, AB15 8QH UK;10. IMBIV (CONICET‐UNC) and FCEFyN, Universidad Nacional de Córdoba, , 5000 Córdoba, Argentina
Abstract:A novel conceptual framework is presented that proposes to apply trait‐based approaches to predicting the impact of environmental change on ecosystem service delivery by multi‐trophic systems. Development of the framework was based on an extension of the response–effect trait approach to capture functional relationships that drive trophic interactions. The framework was populated with worked examples to demonstrate its flexibility and value for linking disparate data sources, identifying knowledge gaps and generating hypotheses for quantitative models.
Keywords:Functional trait  Ecosystem functioning  Biotic interactions  Plant‐soil interactions  Biotic control  Environmental change  Pollination  Grassland  Soil nitrogen  Field margins
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