title: A Keystone Ant Species Provides Robust Biological Control of the Coffee Berry Borer Under Varying Pest Densities.
abstract: Species' functional traits are an important part of the ecological complexity that determines the provisioning of ecosystem services. In biological pest control, predator response to pest density variation is a dynamic trait that impacts the provision of this service in agroecosystems. When pest populations fluctuate, farmers relying on biocontrol services need to know how natural enemies respond to these changes. Here we test the effect of variation in coffee berry borer (CBB) density on the biocontrol efficiency of a keystone ant species (Azteca sericeasur) in a coffee agroecosystem. We performed exclosure experiments to measure the infestation rate of CBB released on coffee branches in the presence and absence of ants at four different CBB density levels. We measured infestation rate as the number of CBB bored into fruits after 24 hours, quantified biocontrol efficiency (BCE) as the proportion of infesting CBB removed by ants, and estimated functional response from ant attack rates, measured as the difference in CBB infestation between branches. Infestation rates of CBB on branches with ants were significantly lower (71%-82%) than on those without ants across all density levels. Additionally, biocontrol efficiency was generally high and did not significantly vary across pest density treatments. Furthermore, ant attack rates increased linearly with increasing CBB density, suggesting a Type I functional response. These results demonstrate that ants can provide robust biological control of CBB, despite variation in pest density, and that the response of predators to pest density variation is an important factor in the provision of biocontrol services. Considering how natural enemies respond to changes in pest densities will allow for more accurate biocontrol predictions and better-informed management of this ecosystem service in agroecosystems.
authors.affiliation: School of Natural Resources and Environment, University of Michigan, Ann Arbor, Michigan, United States of America.
authors.forename: Jonathan R
authors.initials: JR
authors.lastname: Morris
authors.affiliation: Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, Michigan, United States of America.
authors.forename: John
authors.initials: J
authors.lastname: Vandermeer
authors.affiliation: School of Natural Resources and Environment, University of Michigan, Ann Arbor, Michigan, United States of America.
authors.forename: Ivette
authors.initials: I
authors.lastname: Perfecto
mesh_terms: D000383:Agriculture / Q000379:methods; D000818:Animals; D001000:Ants / Q000502:physiology*; D003069:Coffee / Q000469:parasitology*; D010572:Pest Control, Biological / Q000379:methods; D011156:Population Density; D048889:Weevils / Q000502:physiology*
chemical_list: D003069:Coffee