Sierra N. Hellwitz, Carla Vázquez-González, Lydia S. Dean, Tyler P. Zarubin, Kailen A. Mooney
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引用次数: 0
Abstract
Predators are recognized to increase prey diversity by suppressing competitively dominant species, whereas mutualists are predicted to reduce diversity by promoting a competitively dominant partner. However, this trend, and the effect of these interactions when they cooccur, remains underexplored. We investigated the effects of predation and mutualism on the diversity of pine-associated arthropods by excluding insectivorous birds and mutualist ants from branches of Pinus ponderosa and sampling arthropods during a 2-year period. We identified 92,549 arthropods to the species or morphological species level. In the absence of ants, birds had no effects on diversity, whereas in the absence of birds, ants decreased Simpson diversity and Pieolu's evenness but did not affect species richness. However, in the presence of ants, birds increased diversity, evenness, and richness. Effects on arthropod composition mirrored diversity: birds alone had no effect on composition, ants alone increased aphid and aphid predator abundance, but in the presence of ants, birds reduced aphid and aphid predator abundance. In summary, we provide evidence that mutualists reduce diversity and alter community composition in pine-associated arthropods by promoting the dominance of partner species, and these interactions together are non-additive, with predator effects likely working through the disruption of the mutualism.
期刊介绍:
Ecology publishes articles that report on the basic elements of ecological research. Emphasis is placed on concise, clear articles documenting important ecological phenomena. The journal publishes a broad array of research that includes a rapidly expanding envelope of subject matter, techniques, approaches, and concepts: paleoecology through present-day phenomena; evolutionary, population, physiological, community, and ecosystem ecology, as well as biogeochemistry; inclusive of descriptive, comparative, experimental, mathematical, statistical, and interdisciplinary approaches.