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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25784

Title: Nonlinear partitioning of biodiversity effects on ecosystem functioning
Authors: Baert, Jan M.
Jaspers, Stijn
Janssen, Colin R.
De Laender, Frederik
Aerts, Marc
Issue Date: 2017
Publisher: WILEY
Citation: METHODS IN ECOLOGY AND EVOLUTION, 8(10), p. 1233-1240
Abstract: 1. Assessing the consequences of biodiversity changes for ecosystem functioning requires separating the net effect of biodiversity from potential confounding effects such as the identity of the gained or lost species. Additive partitioning methods allow factoring out these species identify effects by comparing species' functional contributions against the predictions of a null model under which functional contributions are independent of biodiversity. 2. Classic additive partitioning methods quantify biodiversity effects based on a linear relationship between species deviations from the null model and their functional traits. However, based on ecological theory, nonlinear relationships are also possible. 3. Here, we demonstrate how additive-partitioning methods can be extended to describe such nonlinear relationships, and explain how nonlinear biodiversity effects can be interpreted. 4. We apply both linear and nonlinear partitioning methods to the Cedar Creek Biodiversity II experiment. Nonlinear relationships were detected in the majority of plots, and increased with diversity. Nonlinear partitioning thereby identified a convex relationship between species functional traits and their deviations from the null model, driven by strong positive effects of both species with low and high functional trait values trait values on ecosystem functioning. 5. The presented nonlinear extension of additive partitioning methods is therefore essential for revealing more complex biodiversity effects on ecosystem functioning, that are likely to occur in biodiversity experiments.
Notes: [Baert, Jan M.; Janssen, Colin R.] Univ Ghent, Lab Environm Toxicol & Appl Ecol, Coupure Links 653 Bldg F, B-9000 Ghent, Belgium. [Baert, Jan M.; De Laender, Frederik] Univ Namur, Res Unit Environm & Evolutionary Biol, Rue Bruxelles 61, B-5000 Namur, Belgium. [Jaspers, Stijn; Aerts, Marc] Hasselt Univ, Interuniv Inst Biostat & Stat Bioinformat I BioSt, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/25784
DOI: 10.1111/2041-210X.12804
ISI #: 000412858600007
ISSN: 2041-210X
Category: A1
Type: Journal Contribution
Appears in Collections: Research publications

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