title: Ecosystem functions across trophic levels are linked to functional and phylogenetic diversity.
abstract: In experimental systems, it has been shown that biodiversity indices based on traits or phylogeny can outperform species richness as predictors of plant ecosystem function. However, it is unclear whether this pattern extends to the function of food webs in natural ecosystems. Here we tested whether zooplankton functional and phylogenetic diversity explains the functioning of 23 natural pond communities. We used two measures of ecosystem function: (1) zooplankton community biomass and (2) phytoplankton abundance (Chl a). We tested for diversity-ecosystem function relationships within and across trophic levels. We found a strong correlation between zooplankton diversity and ecosystem function, whereas local environmental conditions were less important. Further, the positive diversity-ecosystem function relationships were more pronounced for measures of functional and phylogenetic diversity than for species richness. Zooplankton and phytoplankton biomass were best predicted by different indices, suggesting that the two functions are dependent upon different aspects of diversity. Zooplankton community biomass was best predicted by zooplankton trait-based functional richness, while phytoplankton abundance was best predicted by zooplankton phylogenetic diversity. Our results suggest that the positive relationship between diversity and ecosystem function can extend across trophic levels in natural environments, and that greater insight into variation in ecosystem function can be gained by combining functional and phylogenetic diversity measures.
authors.affiliation: Department of Biology, McGill University, Montreal, Quebec, Canada.
authors.forename: Patrick L
authors.initials: PL
authors.lastname: Thompson
authors.affiliation: Department of Biology, McGill University, Montreal, Quebec, Canada.
authors.forename: T Jonathan
authors.initials: TJ
authors.lastname: Davies
authors.affiliation: Department of Biology, McGill University, Montreal, Quebec, Canada.
authors.forename: Andrew
authors.initials: A
authors.lastname: Gonzalez
mesh_terms: D000818:Animals; D044822:Biodiversity; D018533:Biomass; D020387:Food Chain; D015233:Models, Statistical; D010802:Phylogeny; D010839:Phytoplankton / Q000145:classification; D015048:Zooplankton / Q000145:classification