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扩大我们对 tipping points 的理解。

Scaling up our understanding of tipping points.

机构信息

ISEM, CNRS, University of Montpellier, IRD, EPHE, Montpellier, France.

Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA.

出版信息

Philos Trans R Soc Lond B Biol Sci. 2022 Aug 15;377(1857):20210386. doi: 10.1098/rstb.2021.0386. Epub 2022 Jun 27.

Abstract

Anthropogenic activities are increasingly affecting ecosystems across the globe. Meanwhile, empirical and theoretical evidence suggest that natural systems can exhibit abrupt collapses in response to incremental increases in the stressors, sometimes with dramatic ecological and economic consequences. These catastrophic shifts are faster and larger than expected from the changes in the stressors and happen once a tipping point is crossed. The primary mechanisms that drive ecosystem responses to perturbations lie in their architecture of relationships, i.e. how species interact with each other and with the physical environment and the spatial structure of the environment. Nonetheless, existing theoretical work on catastrophic shifts has so far largely focused on relatively simple systems that have either few species and/or no spatial structure. This work has laid a critical foundation for understanding how abrupt responses to incremental stressors are possible, but it remains difficult to predict (let alone manage) where or when they are most likely to occur in more complex real-world settings. Here, we discuss how scaling up our investigations of catastrophic shifts from simple to more complex-species rich and spatially structured-systems could contribute to expanding our understanding of how nature works and improve our ability to anticipate the effects of global change on ecological systems. This article is part of the theme issue 'Ecological complexity and the biosphere: the next 30 years'.

摘要

人为活动正日益影响全球各地的生态系统。与此同时,实证和理论证据表明,自然系统可能会对压力的逐渐增加发生突然崩溃,有时会产生巨大的生态和经济后果。这些灾难性的转变比预期的压力变化更快、更大,而且一旦超过临界点就会发生。驱动生态系统对干扰做出反应的主要机制在于它们的关系结构,即物种之间相互作用以及与物理环境和环境的空间结构的相互作用。尽管如此,迄今为止,关于灾难性转变的现有理论工作主要集中在相对简单的系统上,这些系统要么物种较少,要么没有空间结构。这项工作为理解对增量压力的突然响应如何成为可能奠定了重要基础,但要预测(更不用说管理)它们在更复杂的现实环境中最可能发生的位置和时间仍然很困难。在这里,我们讨论了如何将灾难性转变的研究从简单到更复杂的富物种和空间结构系统扩展,这将有助于扩大我们对自然运作方式的理解,并提高我们预测全球变化对生态系统影响的能力。本文是主题为“生态复杂性与生物圈:未来 30 年”的特刊的一部分。

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