A Linear Model Method for Biodiversity–Ecosystem Functioning Experiments

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A Linear Model Method for Biodiversity–Ecosystem Functioning Experiments

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dc.contributor.author Newman, Jonathan A.
dc.contributor.author King, Lindsay
dc.contributor.author Schmid, Bernhard
dc.contributor.author Hector, Andy
dc.contributor.author Lilley, Andrew K.
dc.contributor.author Bell, Thomas
dc.date.accessioned 2009-11-27T01:56:24Z
dc.date.available 2009-11-27T01:56:24Z
dc.date.issued 2009-12
dc.identifier.citation Bell, T., Lilley, A.K., Hector, A., Schmid, B., King, L., Newman, J.A. "A Linear Model Method for Biodiversity–Ecosystem Functioning Experiments." The American Naturalist 174.6 (2009): 836-849 en
dc.identifier.other DOI: 10.1086/647931
dc.identifier.uri http://hdl.handle.net/10214/2097
dc.description.abstract Experiments that manipulate species richness and measure ecosystem functioning attempt to separate the effects of species richness (the number of species) from those of species identity. We introduce an experimental design that ensures that each species is selected the same number of times at each level of species richness. In combination with a linear model analysis, this approach is able to unambiguously partition the variance due to different species identities and the variance due to nonlinear species richness, a proxy measure for interactions among species. Our design and analysis provide several advantages over methods that are currently used. First, the linear model method has the potential to directly estimate the role of various ecological mechanisms (e.g., competition, facilitation) rather than the consequences of those mechanisms (e.g., the "complementarity effect"). Second, unlike other methods that are currently used, this one is able to estimate the impact of diversity when the contribution of individual species in a mixture is unknown. en
dc.language.iso en en
dc.publisher University of Chicago en
dc.subject random partitions design, biodiversity, ecosystem functioning, linear model en
dc.title A Linear Model Method for Biodiversity–Ecosystem Functioning Experiments en
dc.type Article en


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51165apa.pdf 195.2Kb PDF View/Open appendix A
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