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Recovery rates reflect distance to a tipping point in a living system

Author

Listed:
  • Annelies J. Veraart

    (Wageningen University, PO Box 47, NL-6700 AA, Wageningen, The Netherlands)

  • Elisabeth J. Faassen

    (Wageningen University, PO Box 47, NL-6700 AA, Wageningen, The Netherlands)

  • Vasilis Dakos

    (Wageningen University, PO Box 47, NL-6700 AA, Wageningen, The Netherlands)

  • Egbert H. van Nes

    (Wageningen University, PO Box 47, NL-6700 AA, Wageningen, The Netherlands)

  • Miquel Lürling

    (Wageningen University, PO Box 47, NL-6700 AA, Wageningen, The Netherlands
    Netherlands Institute of Ecology, Royal Netherlands Academy of Arts and Sciences, PO Box 50, 6700AB, Wageningen, The Netherlands)

  • Marten Scheffer

    (Wageningen University, PO Box 47, NL-6700 AA, Wageningen, The Netherlands)

Abstract

Decreased rates of recovery from perturbations, or critical slowing down, are demonstrated in a living system, indicating that recovery rates can be used to probe the resilience of complex systems.

Suggested Citation

  • Annelies J. Veraart & Elisabeth J. Faassen & Vasilis Dakos & Egbert H. van Nes & Miquel Lürling & Marten Scheffer, 2012. "Recovery rates reflect distance to a tipping point in a living system," Nature, Nature, vol. 481(7381), pages 357-359, January.
    • Handle: RePEc:nat:nature:v:481:y:2012:i:7381:d:10.1038_nature10723
    DOI: 10.1038/nature10723
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    Cited by:

    1. Lu, Jinfeng & Dimov, Dimo, 2023. "A system dynamics modelling of entrepreneurship and growth within firms," Journal of Business Venturing, Elsevier, vol. 38(3).
    2. Richter, Andries & Dakos, Vasilis, 2015. "Profit fluctuations signal eroding resilience of natural resources," Ecological Economics, Elsevier, vol. 117(C), pages 12-21.
    3. James Tan & Siew Ann Cheong, 2016. "The Regime Shift Associated with the 2004–2008 US Housing Market Bubble," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-8, September.
    4. Navid Moghadam, Nastaran & Nazarimehr, Fahimeh & Jafari, Sajad & Sprott, Julien C., 2020. "Studying the performance of critical slowing down indicators in a biological system with a period-doubling route to chaos," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    5. Christian Meisel & Andreas Klaus & Christian Kuehn & Dietmar Plenz, 2015. "Critical Slowing Down Governs the Transition to Neuron Spiking," PLOS Computational Biology, Public Library of Science, vol. 11(2), pages 1-20, February.
    6. Mathilde Maîtrot & Geof Wood & Joe Devine, 2021. "Understanding resilience: Lessons from lived experiences of extreme poverty in Bangladesh," Development Policy Review, Overseas Development Institute, vol. 39(6), pages 894-910, November.
    7. Xing, Kai & Yang, Xiaoguang, 2020. "Predicting default rates by capturing critical transitions in the macroeconomic system," Finance Research Letters, Elsevier, vol. 32(C).
    8. Vishwesha Guttal & Srinivas Raghavendra & Nikunj Goel & Quentin Hoarau, 2016. "Lack of Critical Slowing Down Suggests that Financial Meltdowns Are Not Critical Transitions, yet Rising Variability Could Signal Systemic Risk," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-20, January.
    9. Ryan D Batt & Tarsha Eason & Ahjond Garmestani, 2019. "Time scale of resilience loss: Implications for managing critical transitions in water quality," PLOS ONE, Public Library of Science, vol. 14(10), pages 1-19, October.
    10. William A Brock & Stephen R Carpenter, 2012. "Early Warnings of Regime Shift When the Ecosystem Structure Is Unknown," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-10, September.
    11. Tatiana Baumuratova & Simona Dobre & Thierry Bastogne & Thomas Sauter, 2013. "Switch of Sensitivity Dynamics Revealed with DyGloSA Toolbox for Dynamical Global Sensitivity Analysis as an Early Warning for System's Critical Transition," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-12, December.
    12. Moran, C.J. & Franks, D.M. & Sonter, L.J., 2013. "Using the multiple capitals framework to connect indicators of regional cumulative impacts of mining and pastoralism in the Murray Darling Basin, Australia," Resources Policy, Elsevier, vol. 38(4), pages 733-744.
    13. Dominique A Cowart & Miguel Pinheiro & Olivier Mouchel & Marion Maguer & Jacques Grall & Jacques Miné & Sophie Arnaud-Haond, 2015. "Metabarcoding Is Powerful yet Still Blind: A Comparative Analysis of Morphological and Molecular Surveys of Seagrass Communities," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-26, February.
    14. Maarten C Boerlijst & Thomas Oudman & André M de Roos, 2013. "Catastrophic Collapse Can Occur without Early Warning: Examples of Silent Catastrophes in Structured Ecological Models," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-6, April.

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