周期性环境胁迫塑造复杂生态网络的稳定性
Periodic Environmental Forcing Shapes the Stability of Complex Ecological Networks
浏览论文内容
中文总结 AI 辅助
本文针对静态环境假设的局限，建立受周期性环境胁迫的复杂生态网络稳定性分析理论，揭示缓慢环境中稳定性判据与快速环境振荡的高频救助效应，为波动环境下的生态恢复力研究提供通用框架。
中文摘要 AI 辅助
环境变异性是自然生态系统的核心特征，但多数生态稳定性理论假设环境是静态的。本文针对受周期性环境胁迫的复杂生态网络，建立了一套分析性稳定性理论。研究表明，在缓慢变化的环境中，生态系统稳定性由瞬时相互作用矩阵的时间平均最右侧谱边决定，为大型生态群落提供了明确的稳定性判据。该理论预测了不同生态相互作用拓扑结构间的通用恢复力层级，并通过数值模拟得到验证。在绝热区之外，快速的环境振荡可动态稳定原本不稳定的生态系统，揭示了静态理论中缺失的高频救助效应。这些结果将生态稳定性理论扩展到非自主系统，为理解波动环境中的恢复力提供了通用框架。
英文摘要
Environmental variability is a defining feature of natural ecosystems, yet many theories of ecological stability assume static environments. Here, we develop an analytical framework for local stability in complex ecological communities subjected to periodic environmental forcing. We show that, in slowly varying environments and under a large-system approximation, the maximal Lyapunov exponent can be approximated by the time-averaged rightmost spectral edge of the instantaneous interaction matrix, yielding explicit stability criteria for large ecological communities. Within the random-matrix interaction ensembles considered here, our minimal theoretical framework predicts a topology-dependent ordering of local perturbation stability under periodic temporal modulation in high-dimensional ecological networks, which is supported by numerical simulations. Beyond the adiabatic regime, rapid environmental oscillations dynamically stabilize otherwise unstable ecosystems, revealing a high-frequency rescue effect that is absent from static theories. These results extend ecological stability theory beyond autonomous systems and provide a general framework for understanding resilience in fluctuating environments.
发表机构
- Nalanda University（那烂陀大学）
机构由 AI 辅助整理，请以论文原文为准。
