Journal
JOURNAL OF ECOLOGY
Volume 100, Issue 2, Pages 478-487Publisher
WILEY
DOI: 10.1111/j.1365-2745.2011.01930.x
Keywords
climate change; community ecology; competition; demography; integral projection model; niche; plant population and community dynamics; sagebrush steppe
Categories
Funding
- NSF [DEB-0614068, DEB-0624880, DEB-1054040]
- USDA Forest Service Rocky Mountain Research Station
- Utah Agriculture Experiment Station, Utah State University [8263]
- Cornell College of Arts and Sciences
- Institute for Computational Sustainability
- US National Science Foundation
- Cornell Center for a Sustainable Future
- Division Of Computer and Network Systems
- Direct For Computer & Info Scie & Enginr [0832782] Funding Source: National Science Foundation
- Division Of Environmental Biology
- Direct For Biological Sciences [1054040] Funding Source: National Science Foundation
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1. A change in a climate variable may alter a species abundance not only through a direct effect on that species vital rates, but also through indirect effects mediated by species interactions. While recent work has highlighted cases in which indirect effects overwhelm the direct effects of climate, we lack robust generalizations to predict the strength of indirect effects. 2. For communities dominated by non-trophic interactions, we propose that the potential for indirect effects of climate change declines with the strength of stabilizing niche differences. 3. We tested this hypothesis by analysing an empirically parameterized four species population model. We quantified negative frequency dependence in population growth rates as a measure of stabilizing niche differences and projected the sensitivity of each species to direct and indirect effects of climate perturbations. 4. Consistent with our hypothesis, species' sensitivities to indirect effects decreased rapidly with increasing stabilization by niche differences. 5. Synthesis. Information about niche differences can identify species sensitive to indirect effects of climate change and determine when multispecies forecasting approaches are necessary. However, practical application of this generalization will require methods to predict niche differences from easily collected data.
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