Remotely sensed resilience of tropical forests

Jan Verbesselt (), Nikolaus Umlauf, Marina Hirota, Milena Holmgren, Egbert H. Van Nes, Martin Herold, Achim Zeileis and Marten Scheffer ()
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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
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

Nature Climate Change, 2016, vol. 6, issue 11, 1028-1031

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.

Date: 2016
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DOI: 10.1038/nclimate3108

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