General statistical scaling laws for stability in ecological systems
General statistical scaling laws for stability in ecological systems
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DOI：
10.1111/ele.13760
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发表时间：
2021-05-04
期刊：
影响因子：
8.8
通讯作者：
Harpole, Stanley
中科院分区：
文献类型：
--
作者：
Clark, Adam Thomas;Arnoldi, Jean-Francois;Harpole, Stanley
生态稳定性是一系列概念，用于描述相互作用的物种系统如何随时间变化并对干扰做出反应。由于观测到的生态稳定性取决于采样尺度和环境背景，因此很难比较不同地点和系统的测量结果。在这里，我们应用随机动力系统理论，以获得一般的统计尺度关系跨时间，空间和生态组织水平的三个基本稳定性方面：弹性，阻力和不变性。这些关系可以使用在各个尺度上测量的随机或代表性样本进行校准，并预测在广泛的背景下在其他尺度上的平均稳定性。此外，观测到的与外推的标度关系之间的偏差可以揭示关于跨时间、空间或物种的未观测到的异质性的信息。我们预计，这些方法将是有用的稳定性数据的交叉研究合成，外推测量到未观察到的规模，并确定异质性的根本原因和后果。
Ecological stability refers to a family of concepts used to describe how systems of interacting species vary through time and respond to disturbances. Because observed ecological stability depends on sampling scales and environmental context, it is notoriously difficult to compare measurements across sites and systems. Here, we apply stochastic dynamical systems theory to derive general statistical scaling relationships across time, space, and ecological level of organisation for three fundamental stability aspects: resilience, resistance, and invariance. These relationships can be calibrated using random or representative samples measured at individual scales, and projected to predict average stability at other scales across a wide range of contexts. Moreover deviations between observed vs. extrapolated scaling relationships can reveal information about unobserved heterogeneity across time, space, or species. We anticipate that these methods will be useful for cross-study synthesis of stability data, extrapolating measurements to unobserved scales, and identifying underlying causes and consequences of heterogeneity.