Botany Department, University of Wyoming, Laramie, Wyoming, USA.
Environmental Studies Program and Department of Biology, University of Oregon, Eugene, Oregon, USA.
Ecology. 2022 Apr;103(4):e3650. doi: 10.1002/ecy.3650. Epub 2022 Mar 7.
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.
同步动态(同时发生的波动)是普遍存在的现象,对生态稳定性具有广泛的影响。同步动态可以放大环境变异性对生态系统功能(如生产力)的破坏作用,而相反的补偿动态则可以稳定功能。在这里,我们结合模拟和实证分析来阐明导致同步和补偿动态模式的机制。在模拟和实证群落中,我们表明同步和补偿动态不是相互排斥的,而是可以随时间尺度而变化。我们的模拟确定了多种可以产生特定时间尺度模式的机制,包括不同的环境驱动因素、不同的生活史、扩散和非平稳动态。我们发现,用于量化同步动态的传统指标往往偏向于长期驱动因素,可能会忽略短期驱动因素的重要性。我们的研究结果表明,在评估同步和补偿动态时需要考虑关键机制,我们的方法为在自然系统中分解这些动态提供了一种途径。