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Journal Article

Predicting invertebrate herbivory from plant traits: Polycultures show strong nonadditive effects

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons62433

Kattge,  Jens
Interdepartmental Max Planck Fellow Group Functional Biogeography, Max Planck Institute for Biogeochemistry, Max Planck Society;

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Citation

Loranger, J., Meyer, S. T., Shipley, B., Kattge, J., Loranger, H., Roscher, C., et al. (2013). Predicting invertebrate herbivory from plant traits: Polycultures show strong nonadditive effects. Ecology, 94(7), 1499-1509. doi:10.1890/12-2063.1.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0014-3237-6
Abstract
Plant functional traits affect the capacity of herbivores to find, choose, and consume plants. However, in a community composed of different plant species, it is unclear what proportion of herbivory on a focal plant is explained by its own traits and which is explained by the characteristics of the surrounding vegetation (i.e., nonadditive effects). Moreover, nonadditive effects could be positive or negative, and it is not known if they are related to community properties such as diversity. To quantify nonadditive effects, we developed four different additive models based on monoculture herbivory rates or plant traits and combined them with measurements of standing invertebrate herbivore damage along an experimental plant diversity gradient ranging from monocultures to 60-species mixtures. In all four models, positive nonadditive effects were detected, i.e., herbivory levels were higher in polycultures than what was expected from monoculture data, and these effects contributed up to 25% of the observed variance in herbivory. Importantly, the nonadditive effects, which were defined as the deviance of the models’ predictions from the observed herbivory, were positively correlated with the communities’ plant species richness. Consequently, interspecific interactions appear to have an important impact on the levels of herbivory of a community. Identifying those community properties that capture the effects of these interactions is a next important challenge for our understanding of how the environment interacts with plant traits to drive levels of herbivory.