Identifying and explaining resilience in ecological networks,Ecology Letters

当前位置： X-MOL 学术 › Ecol. Lett. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Identifying and explaining resilience in ecological networks
Ecology Letters ( IF 7.6 ) Pub Date : 2024-08-02 , DOI: 10.1111/ele.14484
Cailan Jeynes-Smith ₁ , Michael Bode _{1,

2} , Robyn P Araujo ₃

Affiliation

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.

中文翻译：

识别并解释生态网络的复原力

具有弹性的生态系统更有可能在人类世持续存在并发挥作用。目前估计生态系统恢复力的方法依赖于精确参数化的生态系统模型，这是一个重大的实证挑战。在本文中，我们采用生化动力学工具来识别表现出“结构弹性”的生态网络，这是一种强大的弹性形式，仅是网络结构的属性，并且与模型参数无关。我们在广义的 Lotka-Volterra 建模框架下对所有三个物种生态网络的结构弹性进行了详尽的研究。在 20,000 种可能的网络结构中，大约 2% 显示出结构弹性。这些网络的特性为促进生态系统恢复力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、现实的生态网络中识别稳健的生态恢复力形式提供了基础。

更新日期：2024-08-02

点击分享查看原文

点击收藏

公开下载

阅读更多本刊新发论文本刊介绍/投稿指南