Effects of predator richness on prey suppression: a meta‐analysis. Issue 10 (1st October 2013)

• Record Type: Journal Article
• Authors: Griffin, John N.; Byrnes, Jarrett E. K.; Cardinale, Bradley J.
• Is Part Of: Ecology. Volume 94:Issue 10(2013)
• Page Start: 2180
• Page End: 2187
• Publication Date: 2013-10-01
• Subjects: biodiversity -- carnivores -- complementarity -- ecosystem function -- phylogenetic diversity, PD -- taxonomic distinctness, TD; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1890/13-0179.1
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract : It is well established that species richness of primary producers and primary consumers can enhance efficiency of resource uptake and biomass production of respective trophic levels. At the level of secondary consumers (predators), however, conclusions about the functional role of biodiversity have been mixed. We take advantage of a recent surge of published experiments (totaling 46 since 2005) to both evaluate general effects of predator richness on aggregate prey suppression (top‐down control) and explore sources of variability among experiments. Our results show that, across experiments, predator richness enhances prey suppression relative to the average single predator species (mean richness effect), but not the best‐performing species. Mean richness effects in predator experiments were stronger than those for primary producers and detritivores, suggesting that relationships between richness and function may increase with trophic height in food webs. The strength of mean predator richness effects increased with the spatial and temporal scale of experiments, and the taxonomic distinctness (TD, used as a proxy of phylogenetic diversity) of species present. This latter result suggests that TD captures important aspects of functional differentiation among predators and that measures of biodiversity that go beyond species richness may help to better predict the effects of predator species loss.