Clark Adam Thomas, Arnoldi Jean-Francois, Zelnik Yuval R, Barabas György, Hodapp Dorothee, Karakoç Canan, König Sara, Radchuk Viktoriia, Donohue Ian, Huth Andreas, Jacquet Claire, de Mazancourt Claire, Mentges Andrea, Nothaaß Dorian, Shoemaker Lauren G, Taubert Franziska, Wiegand Thorsten, Wang Shaopeng, Chase Jonathan M, Loreau Michel, Harpole Stanley
Department of Physiological Diversity, Helmholtz Centre for Environmental Research (UFZ), Leipzig, Germany.
Institute of Biology, University of Graz, Graz, Austria.
Ecol Lett. 2021 Jul;24(7):1474-1486. doi: 10.1111/ele.13760. Epub 2021 May 4.
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.
生态稳定性指的是一系列用于描述相互作用物种系统如何随时间变化并对干扰做出反应的概念。由于观察到的生态稳定性取决于采样尺度和环境背景，因此跨地点和系统比较测量结果非常困难。在此，我们应用随机动力系统理论，针对恢复力、抵抗力和不变性这三个基本稳定性方面，推导出跨时间、空间和生态组织水平的一般统计尺度关系。这些关系可以使用在个体尺度上测量的随机或代表性样本进行校准，并进行预测以推断广泛背景下其他尺度的平均稳定性。此外，观察到的与外推的尺度关系之间的偏差可以揭示关于时间、空间或物种中未观察到的异质性的信息。我们预计这些方法将有助于稳定性数据的跨研究综合、将测量结果外推到未观察到的尺度，以及识别异质性的潜在原因和后果。
