Catalysts and inhibitors of critical transitions in ecological systems

Y Yuguang Yang (Center for Systems and Control, School of Advanced Manufacturing and Robotics) G György Barabás (Division of Biology) S Serguei Saavedra (Department of Civil and Environmental Engineering) A Aming Li (Center for Systems and Control)

Abstract

Ecological systems can experience sudden and often irreversible regime shifts, also known as critical transitions, with major consequences such as desertification, locust outbreaks, and coral reef collapse. Anticipating these shifts is a central challenge, particularly under accelerating climate change. Although early warning signals of critical transitions have been widely studied, the mechanisms that drive or prevent them remain less well understood. Here, we develop a theoretical framework based on time-delayed dynamics that allows us to identify processes acting as catalysts or inhibitors of critical transitions in ecological systems. We show that a composite measure combining time-delayed species interactions with species abundances is a key modulator of critical transitions. Beyond the critical point, systems exhibit persistent abundance oscillations, substantially increasing the risk of large-scale destabilization and species extinctions. Additionally, we show that a high diversity of species interaction types can act as a buffer of critical transitions. Instead, strong species self-regulation effects can act as catalysts of such transitions, contrary to common expectations. We illustrate the framework with empirical data from microbial systems. Together, these results provide a formal platform for exploring and understanding the drivers of critical transitions in complex living systems.

Article Details

Volume / Issue Vol. 123, Issue 2
Published January 13, 2026
ISSN 0027-8424
Publisher National Academy of Sciences

Authors (4)

Y

Yuguang Yang

Center for Systems and Control, School of Advanced Manufacturing and Robotics

G

György Barabás

Division of Biology

S

Serguei Saavedra

Department of Civil and Environmental Engineering

A

Aming Li

Center for Systems and Control