ArticleJournal of the Royal Society, Interface2020
Tipping point and noise-induced transients in ecological networks.
Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The frequency response of networks as open systems.Nature communications · 2026Article
- Generalized paradox of enrichment: noise-driven rare rarity in degraded ecological systems.Journal of the Royal Society, Interface · 2025Article
- Landscape quantifies the intermediate state and transition dynamics in ecological networks.PLoS computational biology · 2024Article
- Quantifying the Resilience of Coal Energy Supply in China Toward Carbon Neutrality.Research (Washington, D.C.) · 2024Article
- Rate-induced tipping in complex high-dimensional ecological networks.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Rising temperature drives tipping points in mutualistic networks.Royal Society open science · 2023Article
- The fundamental benefits of multiplexity in ecological networks.Journal of the Royal Society, Interface · 2022Article
- Challenges in modelling the dynamics of infectious diseases at the wildlife-human interface.Epidemics · 2021Review
- Effects of stochasticity on the length and behaviour of ecological transients.Journal of the Royal Society, Interface · 2021Article
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Authors and funding
3 authors.
Funding
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Abstract
A challenging and outstanding problem in interdisciplinary research is to understand the interplay between transients and stochasticity in high-dimensional dynamical systems. Focusing on the tipping-point dynamics in complex mutualistic networks in ecology constructed from empirical data, we investigate the phenomena of noise-induced collapse and noise-induced recovery. Two types of noise are studied: environmental (Gaussian white) noise and state-dependent demographic noise. The dynamical mechanism responsible for both phenomena is a transition from one stable steady state to another driven by stochastic forcing, mediated by an unstable steady state. Exploiting a generic and effective two-dimensional reduced model for real-world mutualistic networks, we find that the average transient lifetime scales algebraically with the noise amplitude, for both environmental and demographic noise. We develop a physical understanding of the scaling laws through an analysis of the mean first passage time from one steady state to another. The phenomena of noise-induced collapse and recovery and the associated scaling laws have implications for managing high-dimensional ecological systems.
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