title: Cascading extinctions, functional complementarity, and selection in two-trophic-level model communities: a trait-based mechanistic approach.
abstract: The influence of diversity on ecosystem functioning and ecosystem services is now well established. Yet predictive mechanistic models that link species traits and community-level processes remain scarce, particularly for multitrophic systems. Here we revisit MacArthur's classical consumer resource model and develop a trait-based approach to predict the effects of consumer diversity on cascading extinctions and aggregated ecosystem processes in a two-trophic-level system. We show that functionally redundant efficient consumers generate top-down cascading extinctions. This counterintuitive result reveals the limits of the functional redundancy concept to predict the consequences of species deletion. Our model also predicts that the biodiversity-ecosystem functioning relationship is different for different ecosystem processes and depends on the range of variation of consumer traits in the regional species pool, which determines the sign of selection effects. Lastly, competition among resources and consumer generalism both weaken complementarity effects, which suggests that selection effects may prevail at higher trophic levels. Our work emphasizes the potential of trait-based approaches for transforming biodiversity and ecosystem functioning research into a more predictive science.
authors.affiliation: Department of Biology, McGill University, 1205 avenue Docteur Penfield, Montreal, QC, Canada. jurgis.sapijanskas@polytechnique.org
authors.forename: Jurgis
authors.initials: J
authors.lastname: Sapijanskas
authors.forename: Michel
authors.initials: M
authors.lastname: Loreau
mesh_terms: D000465:Algorithms; D044822:Biodiversity; D018533:Biomass; D003198:Computer Simulation; D017753:Ecosystem; D053476:Extinction, Biological; D008954:Models, Biological; D011157:Population Dynamics