资源供给动力学调控复杂生态系统的稳定性与混沌现象
Resource supply dynamics control stability and chaos in complex ecosystems
浏览论文内容
中文总结 AI 辅助
本文通过分析广义消费者-资源模型，揭示自更新与外部供给资源的动力学差异，外部资源供给可扩大生态系统稳定区域并抑制混沌，相关发现对解释微生物群落实验有启示。
中文摘要 AI 辅助
生态相互作用通常由生物与其资源环境之间的反馈介导，但资源供给动力学如何决定生态系统的集体动力学相仍不清楚。本文分析了一类具有非互易相互作用的广义消费者-资源模型，以证明自更新资源与外部供给资源会产生本质不同的动力学相图。随着相互作用的非互易性增强，依赖自更新资源的生态系统会从稳定动力学过渡到混沌，最终变为不可行；相比之下，具有外部供给资源的生态系统会在更宽的参数范围内保持稳定，且在过渡到不可行时不会经历中间的混沌阶段。利用腔方法，本文推导了适用于广泛资源供给函数类的统一稳定性条件，解释了外部供给资源为何能扩大稳定区域。研究表明，稳定性关键取决于资源对扰动的敏感性，而这种敏感性强烈依赖于资源供给；此外，外部资源供给可通过大幅降低濒临灭绝资源的敏感性，抑制不稳定区域中的混沌。这些发现表明，资源动力学从根本上重塑了生态系统可及的动力学行为，对解释微生物群落实验具有启示意义。
英文摘要
Ecological interactions are often mediated by feedbacks between organisms and their resource environments. Yet, how resource supply dynamics dictate collective dynamical phases of an ecosystem remains unclear. Here, we analyse a generalised consumer--resource model with non-reciprocal interactions to demonstrate that self-renewing versus externally-supplied resources yield fundamentally different dynamical phase diagrams. As interactions become increasingly non-reciprocal, ecosystems relying on self-renewing resources transition from stable dynamics to chaos and ultimately to infeasibility. By contrast, ecosystems with externally-supplied resources remain stable over a broader parameter range and transition to infeasibility without experiencing an intervening chaotic phase. Using the cavity method, we derive a unified stability condition applicable to a broad class of resource supply functions, explaining why externally-supplied resources can expand the stable region. We show that stability hinges crucially on the susceptibility of resources to perturbations, which depends strongly on their supply. Further, we show that external resource supply suppresses chaos in the unstable region by drastically reducing the susceptibility of resources closest to extinction. Our findings demonstrate that resource dynamics fundamentally reshape the accessible dynamical behaviours of an ecosystem, with implications for interpreting microbial community experiments.
发表机构
- University College London（伦敦大学学院）
- International Centre for Theoretical Sciences, Tata Institute of Fundamental Research（塔塔基础研究所国际理论科学中心）
机构由 AI 辅助整理，请以论文原文为准。
