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Slower recovery in space before collapse of connected populations

Author

Listed:
  • Lei Dai

    (Massachusetts Institute of Technology)

  • Kirill S. Korolev

    (Massachusetts Institute of Technology)

  • Jeff Gore

    (Massachusetts Institute of Technology)

Abstract

Early warning signals of systems collapse include increased recovery time after perturbations, and here spatially extended, connected yeast populations are used to identify a new warning indicator: recovery length after spatial disturbances.

Suggested Citation

  • Lei Dai & Kirill S. Korolev & Jeff Gore, 2013. "Slower recovery in space before collapse of connected populations," Nature, Nature, vol. 496(7445), pages 355-358, April.
    • Handle: RePEc:nat:nature:v:496:y:2013:i:7445:d:10.1038_nature12071
    DOI: 10.1038/nature12071
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    Cited by:

    1. Yicheol Han & Stephan J. Goetz, 2015. "The Economic Resilience of U.S. Counties during the Great Recession," The Review of Regional Studies, Southern Regional Science Association, vol. 45(2), pages 131-149, Fall.
    2. Ivana Gudelj & Margie Kinnersley & Peter Rashkov & Karen Schmidt & Frank Rosenzweig, 2016. "Stability of Cross-Feeding Polymorphisms in Microbial Communities," PLOS Computational Biology, Public Library of Science, vol. 12(12), pages 1-17, December.
    3. Tran, Huy T. & Balchanos, Michael & Domerçant, Jean Charles & Mavris, Dimitri N., 2017. "A framework for the quantitative assessment of performance-based system resilience," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 73-84.
    4. Wildemeersch, Matthias & Franklin, Oskar & Seidl, Rupert & Rogelj, Joeri & Moorthy, Inian & Thurner, Stefan, 2019. "Modelling the multi-scaled nature of pest outbreaks," Ecological Modelling, Elsevier, vol. 409(C), pages 1-1.
    5. Soomi Lee & Shu Wang, 2023. "Impacts of political fragmentation on inclusive economic resilience: Examining American metropolitan areas after the Great Recession," Urban Studies, Urban Studies Journal Limited, vol. 60(1), pages 26-45, January.
    6. Wang, Ching-Hao & Matin, Sakib & George, Ashish B. & Korolev, Kirill S., 2019. "Pinned, locked, pushed, and pulled traveling waves in structured environments," Theoretical Population Biology, Elsevier, vol. 127(C), pages 102-119.

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