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Functional identity and diversity of animals predict ecosystem functioning better than species-based indices
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden / Departamento de Ecología Integrativa, Estación Biológica de Doñana (EBD-CSIC), Sevilla, Spain.
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.ORCID iD: 0000-0002-5234-9576
Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.
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2015 (English)In: Proceedings of the Royal Society of London. Biological Sciences, ISSN 0962-8452, E-ISSN 1471-2954, Vol. 282, no 1801, article id UNSP 20142620Article in journal (Refereed) Published
Abstract [en]

Drastic biodiversity declines have raised concerns about the deterioration of ecosystem functions and have motivated much recent research on the relationship between species diversity and ecosystem functioning. A functional trait framework has been proposed to improve the mechanistic understanding of this relationship, but this has rarely been tested for organisms other than plants. We analysed eight datasets, including five animal groups, to examine how well a trait-based approach, compared with a more traditional taxonomic approach, predicts seven ecosystem functions below- and above-ground. Trait-based indices consistently provided greater explanatory power than species richness or abundance. The frequency distributions of single or multiple traits in the community were the best predictors of ecosystem functioning. This implies that the ecosystem functions we investigated were underpinned by the combination of trait identities (i.e. single-trait indices) and trait complementarity (i.e. multi-trait indices) in the communities. Our study provides new insights into the general mechanisms that link biodiversity to ecosystem functioning in natural animal communities and suggests that the observed responses were due to the identity and dominance patterns of the trait composition rather than the number or abundance of species per se.

Place, publisher, year, edition, pages
Royal Society of London , 2015. Vol. 282, no 1801, article id UNSP 20142620
National Category
Ecology
Research subject
Natural sciences
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URN: urn:nbn:se:his:diva-11992DOI: 10.1098/rspb.2014.2620ISI: 000350077000014PubMedID: 25567651Scopus ID: 2-s2.0-85003340092OAI: oai:DiVA.org:his-11992DiVA, id: diva2:907639
Available from: 2016-02-29 Created: 2016-02-29 Last updated: 2025-09-29Bibliographically approved

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Jonsson, Tomas

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