Evidence map›Paper›PMID 41512044›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Catalysts and inhibitors of critical transitions in ecological systems.

Yuguang Yang, György Barabás, Serguei Saavedra, Aming Li

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yuguang YangCenter for Systems and Control, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.
György BarabásDivision of Biology, Linköping University, Linköping SE-58183, Sweden.ORCID 0000-0002-7355-3664
Serguei SaavedraDepartment of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139.ORCID 0000-0003-1768-363X
Aming LiCenter for Systems and Control, School of Advanced Manufacturing and Robotics, Peking University, Beijing 100871, China.ORCID 0000-0003-4045-8721

Funding

Jiangsu Provincial Scientific Research Center of Applied Mathematics BK20233002MOST | National Key Research and Development Program of China (NKPs) 2022YFA1008400MOST | National Natural Science Foundation of China (NSFC) 62173004MOST | National Natural Science Foundation of China (NSFC) 62533002MOST | National Natural Science Foundation of China (NSFC) T2421004MOST | National Natural Science Foundation of China (NSFC) T2525017National Science Foundation (NSF) DEB-2436069
6 · The paper itself

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.

Indexed as

EcosystemModels, BiologicalAnimalsClimate ChangeCoral Reefscomplex systemscritical transitionsinteractionstime delays

Identifiers

PMID41512044
PMCPMC12799143

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.