Identifying and explaining resilience in ecological networks

IF 7.6 1区 环境科学与生态学 Q1 ECOLOGY Ecology Letters Pub Date : 2024-08-01 DOI:10.1111/ele.14484
Cailan Jeynes-Smith, Michael Bode, Robyn P. Araujo
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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.

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识别和解释生态网络中的复原力。
具有复原力的生态系统更有可能在人类世持续存在并发挥作用。目前估算生态系统复原力的方法依赖于精确参数化的生态系统模型,这是一项重大的经验挑战。在本文中,我们利用生化动力学工具来识别表现出 "结构复原力 "的生态网络,这是一种强大的复原力形式,完全是网络结构的属性,与模型参数无关。我们在广义洛特卡-伏特拉模型框架下,对所有三物种生态网络的结构复原力进行了详尽的搜索。在 20,000 种可能的网络结构中,约有 2% 显示出结构复原力。这些网络的特性为我们提供了关于生态系统恢复力促进机制的重要见解,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奠定了基础。
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来源期刊
Ecology Letters
Ecology Letters 环境科学-生态学
CiteScore
17.60
自引率
3.40%
发文量
201
审稿时长
1.8 months
期刊介绍: Ecology Letters serves as a platform for the rapid publication of innovative research in ecology. It considers manuscripts across all taxa, biomes, and geographic regions, prioritizing papers that investigate clearly stated hypotheses. The journal publishes concise papers of high originality and general interest, contributing to new developments in ecology. Purely descriptive papers and those that only confirm or extend previous results are discouraged.
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