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Cited by 78Ecosystem dynamics and resilienceMathematical and Theoretical Epidemiology and Ecology ModelsEcology and Vegetation Dynamics Studies

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Relation between stability and resilience determines the performance of early warning signals under different environmental drivers

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Dai, Lei, Korolev, Kirill S., Gore, Jeff·2015·Proceedings of the National Academy of Sciences
DOI 10.1073/pnas.1418415112PMC PMC4538670
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Abstract

Significance: Alternative stable states and critical transitions are widespread in nature and can have profound consequences for conservation, climate changes, and human health. Our current toolbox of early warning signals before critical transitions has seen both successes and failures. Understanding the limitations of these indicators is crucial for application in real-world scenarios. In this study, we explored the population dynamics of laboratory yeast under different forms of environmental deterioration. We found that the performance of early warning signals under different environmental drivers is determined by the underlying relation between stability and resilience. This work presents a framework to evaluate the utility of early warning signals, and it sets a foundation for further studies on how dynamical systems respond to environmental changes.

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Metadata

Authors
Dai, L., Korolev, K. S., & Gore, J.
Affiliations
  • Massachusetts Institute of Technology (US)
  • Boston University (US)
ORCID
Venue
Proceedings of the National Academy of Sciences
Publisher
National Academy of Sciences
Published
2015-07-27
Volume
112
Issue
32
Pages
10056-10061
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
DOI
10.1073/pnas.1418415112
PMC
PMC4538670
OpenAlex
W1923514381
Cited by
78
References
4
Citations by year
2026: 5 · 2025: 9 · 2024: 4 · 2023: 5 · 2022: 10 · 2021: 5 · 2020: 9 · 2019: 10 · 2018: 7 · 2017: 5 · 2016: 9
FWCI
5.73
Type
journal article
Language
en
Open access
Licence
www.pnas.org/site/misc/userlicense.xhtml (vor, 184 d)
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
Funders
HHS | National Institutes of Health (DP2-AG044279)
Topics
  • Physical Sciences › Environmental Science › Global and Planetary Change › Ecosystem dynamics and resilience
  • Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
  • Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
Keywords
early warning indicators, tipping points, critical slowing down, alternative stable states, yeast population dynamics, population collapse, coefficient of variation, autocorrelation, environmental drivers, basins of attraction, recovery rate
MeSH terms
Environment, Humans, Models, Biological, Saccharomyces cerevisiae, Time Factors

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