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识别和解释生态网络中的弹性。

Identifying and explaining resilience in ecological networks.

机构信息

School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia.

Securing Antartica's Environmental Future, Queensland University of Technology, Brisbane, Queensland, Australia.

出版信息

Ecol Lett. 2024 Aug;27(8):e14484. doi: 10.1111/ele.14484.

Abstract

Resilient ecological systems are more likely to persist and function in the Anthropocene. Current methods for estimating an ecosystem's resilience rely on accurately parameterized ecosystem models, which is a significant empirical challenge. In this paper, we adapt tools from biochemical kinetics to identify ecological networks that exhibit 'structural resilience', a strong form of resilience that is solely a property of the network structure and is independent of model parameters. We undertake an exhaustive search for structural resilience across all three-species ecological networks, under a generalized Lotka-Volterra modelling framework. Out of 20,000 possible network structures, approximately 2% display structural resilience. The properties of these networks provide important insights into the mechanisms that could promote resilience in ecosystems, provide new theoretical avenues for qualitative modelling approaches and provide a foundation for identifying robust forms of ecological resilience in large, realistic ecological networks.

摘要

弹性生态系统更有可能在人类世持续存在和发挥功能。目前估计生态系统弹性的方法依赖于经过精确参数化的生态系统模型,这是一个重大的经验挑战。在本文中,我们从生化动力学中采用工具来识别表现出“结构弹性”的生态网络,这是一种强大的弹性形式,仅为网络结构的属性,与模型参数无关。我们在广义的Lotka-Volterra 模型框架下,对所有三种物种的生态网络进行了结构弹性的全面搜索。在 20,000 种可能的网络结构中,大约有 2%显示出结构弹性。这些网络的性质为能够促进生态系统弹性的机制提供了重要的见解,为定性建模方法提供了新的理论途径,并为在大型现实生态网络中识别稳健的生态弹性形式奠定了基础。

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