Increased consumer density reduces the strength of neighborhood effects in a model system. Issue 11 (1st November 2017)

• Record Type: Journal Article
• Authors: Merwin, Andrew C.; Underwood, Nora; Inouye, Brian D.
• Is Part Of: Ecology. Volume 98:Issue 11(2017)
• Page Start: 2904
• Page End: 2913
• Publication Date: 2017-11-01
• Subjects: associational resistance -- Callosobruchus maculatus -- conspecific avoidance -- density manipulation -- density‐dependent resource use -- neighborhood effects -- resource concentration -- response surface; Ecology -- Periodicals; Ecology -- Periodicals; Écologie -- Périodiques; Ecologie; Écologie; Écologie animale; Écologie végétale; Ecology; Periodicals; 577.05
• DOI: 10.1002/ecy.2004
• Languages: English
• ISSNs: 0012-9658

Abstract

Abstract: An individual's susceptibility to attack can be influenced by conspecific and heterospecifics neighbors. Predicting how these neighborhood effects contribute to population‐level processes such as competition and evolution requires an understanding of how the strength of neighborhood effects is modified by changes in the abundances of both consumers and neighboring resource species. We show for the first time that consumer density can interact with the density and frequency of neighboring organisms to determine the magnitude of neighborhood effects. We used the bean beetle, Callosobruchus maculatus, and two of its host beans, Vigna unguiculata and V. radiata, to perform a response‐surface experiment with a range of resource densities and three consumer densities. At low beetle density, damage to beans was reduced with increasing conspecific density (i.e., resource dilution) and damage to the less preferred host, V. unguiculata, was reduced with increasing V. radiata frequency (i.e., frequency‐dependent associational resistance). As beetle density increased, however, neighborhood effects were reduced; at the highest beetle densities neither focal nor neighboring resource density nor frequency influenced damage. These findings illustrate the importance of consumer density in mediating indirect effects among resources, and suggest that accounting for consumer density may improve our ability to predict population‐level outcomes of neighborhood effects and our use of them in applications such as mixed‐crop pest management.