期刊
ECOLOGY
卷 103, 期 4, 页码 -出版社
WILEY
DOI: 10.1002/ecy.3650
关键词
community dynamics; compensatory dynamics; disturbance; environmental fluctuations; life history; metacommunity; stability; variance ratio
类别
资金
- Agricultural Experimental Station of the University of California [CA-D-WFB-2467-H]
- Andrew W. Mellon Foundation
- ARC Centre of Excellence for Environmental Decisions
- James S McDonnell Foundation [220020513]
- Murdoch University
- NATO postdoctoral fellowship
- NSF [DEB 1545288]
- Peter B. Moyle Endowment for Coldwater Fish Conservation
- Commonwealth Scientific and Industrial Research Organisation
Synchronous and compensatory dynamics are universal phenomena in ecological systems, which can vary by different mechanisms and timescales. Traditional assessment methods tend to focus on long-term drivers and may overlook the importance of short-term drivers.
Synchronous dynamics (fluctuations that occur in unison) are universal phenomena with widespread implications for ecological stability. Synchronous dynamics can amplify the destabilizing effect of environmental variability on ecosystem functions such as productivity, whereas the inverse, compensatory dynamics, can stabilize function. Here we combine simulation and empirical analyses to elucidate mechanisms that underlie patterns of synchronous versus compensatory dynamics. In both simulated and empirical communities, we show that synchronous and compensatory dynamics are not mutually exclusive but instead can vary by timescale. Our simulations identify multiple mechanisms that can generate timescale-specific patterns, including different environmental drivers, diverse life histories, dispersal, and non-stationary dynamics. We find that traditional metrics for quantifying synchronous dynamics are often biased toward long-term drivers and may miss the importance of short-term drivers. Our findings indicate key mechanisms to consider when assessing synchronous versus compensatory dynamics and our approach provides a pathway for disentangling these dynamics in natural systems.
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