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Remotely sensed resilience of tropical forests

Author

Listed:
  • Jan Verbesselt

    (Laboratory of Geo-Information Science and Remote Sensing, Wageningen University)

  • Nikolaus Umlauf

    (Faculty of Economics and Statistics, Universität Innsbruck)

  • Marina Hirota

    (Water Ecology and Water Management Group, Wageningen University
    Federal University of Santa Catarina
    Functional Ecology Lab, University of Campinas)

  • Milena Holmgren

    (Resource Ecology Group, Wageningen University)

  • Egbert H. Van Nes

    (Water Ecology and Water Management Group, Wageningen University)

  • Martin Herold

    (Laboratory of Geo-Information Science and Remote Sensing, Wageningen University)

  • Achim Zeileis

    (Faculty of Economics and Statistics, Universität Innsbruck)

  • Marten Scheffer

    (Water Ecology and Water Management Group, Wageningen University)

Abstract

Remote sensing of tropical forest activity indicates that temporal autocorrelation—an indicator of slow recovery from stress—rises steeply as precipitation falls sufficiently. This offers some support for a tipping point for forest collapse.

Suggested Citation

  • Jan Verbesselt & Nikolaus Umlauf & Marina Hirota & Milena Holmgren & Egbert H. Van Nes & Martin Herold & Achim Zeileis & Marten Scheffer, 2016. "Remotely sensed resilience of tropical forests," Nature Climate Change, Nature, vol. 6(11), pages 1028-1031, November.
    • Handle: RePEc:nat:natcli:v:6:y:2016:i:11:d:10.1038_nclimate3108
    DOI: 10.1038/nclimate3108
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    Citations

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    Cited by:

    1. Antoine Leblois, 2021. "Mitigating the impact of bad rainy seasons in poor agricultural regions to tackle deforestation," Post-Print hal-03111007, HAL.
    2. Feliu Serra-Burriel & Pedro Delicado & Fernando M. Cucchietti, 2021. "Wildfires Vegetation Recovery through Satellite Remote Sensing and Functional Data Analysis," Mathematics, MDPI, vol. 9(11), pages 1-22, June.
    3. Isabel Günther & Kenneth Harttgen & Johannes Seiler & Jürg Utzinger, 2022. "An index of access to essential infrastructure to identify where physical distancing is impossible," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    4. Taylor Smith & Niklas Boers, 2023. "Global vegetation resilience linked to water availability and variability," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    5. Timothy M. Lenton & Jesse F. Abrams & Annett Bartsch & Sebastian Bathiany & Chris A. Boulton & Joshua E. Buxton & Alessandra Conversi & Andrew M. Cunliffe & Sophie Hebden & Thomas Lavergne & Benjamin , 2024. "Remotely sensing potential climate change tipping points across scales," Nature Communications, Nature, vol. 15(1), pages 1-15, December.

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