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Pairwise interactions between functional groups improve biological control
Institution:1. Key Laboratory of Coal Processing and Efficient Utilization, Ministry of Education, China University of Mining & Technology, Xuzhou 221116, China;2. State Key Laboratory Breeding Base of Coal Science and Technology Co-founded by Shanxi Province and Ministry Education, Taiyuan University of Technology, Taiyuan 030024, China;1. Institute for Franciscan Environmental Studies, Biology Program, Quincy University, Quincy, IL 62301, USA;2. Department of Biology, Lafayette College, Easton, PA 18042, USA;3. Department of Biological Sciences, Northern Kentucky University, Highland Heights, KY 41099, USA;4. Institute for Franciscan Environmental Studies, Biology Program, Quincy University, Quincy, IL 62301, USA;1. School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, USA;2. Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA;3. Environmental Studies Department, University of California, CA, USA;4. Departamento de Agroecología, Universidad Autónoma Chapingo, Km 38.5 de la carretera México-Texcoco, Estado de México, Mexico;1. Texas A&M University, Department of Entomology, 2475 TAMU, College Station, TX 77843, United States;2. Texas A&M AgriLife Research, Department of Entomology, 6500 Amarillo Blvd W, Amarillo, TX 79106, United States;1. Université de Lorraine, INRAE, LAE, F-54000 Nancy, France;2. ARVALIS Institut du Végétal, Station Expérimentale, F-44370 Loireauxence, France;3. ACTA, the Agricultural Technical Institute, AGRAPOLE, 23 rue Jean Baldassini, 69 364 Lyon Cedex 07, France;4. Université de Lorraine, INRAE, LAE, F-68000 Colmar, France
Abstract:Ecologists have long debated whether predators primarily disrupt one another’s prey capture through interspecific interference, or instead complement one another by occupying different feeding niches. Resolution of this debate has been difficult because different experimental designs are typically used to study interference versus complementarity. We adopted a somewhat atypical approach, surveying communities of predatory insects on 73 free-growing Brassica oleracea plants, and then re-constructing each community in field cages to measure its impact on aphid prey. The predator communities naturally varied in species composition, richness, and relative abundance; in our experiment we kept total predator density constant to avoid confounding effects of differing overall abundance. The predator communities’ impacts on aphids differed by >10-fold. Using a generalized linear model, we found that pairings of several predators in the community improved aphid suppression while no pairings disrupted it. Indeed, accounting for the presence of the beneficial pairings provided more power than species richness to explain predators’ impacts on aphids. Altogether, our results suggest generally complementary or neutral, rather than disruptive, multi-predator effects in this community. Our approach may be useful for determining the frequency of complementary species-pairings in many other systems.
Keywords:Complementarity  Interference  Intraguild predation  Biodiversity  Predator–prey
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