This article examines network models to better predict tipping points, defined as “a critical threshold (tipping point) at which a tiny perturbation can qualitatively alter the state or development of the subsystem.” By using moisture measures in the Amazon rainforest as a model system, the authors determine that “clustering and spatial organization increase the vulnerability of networks and can lead to tipping of the whole network.”
Dynamics of Tipping Cascades on Complex Networks
Author(s)
Jonathan Krönke, Nico Wunderling, Ricarda Winkelmann, Arie Staal, Benedikt Stumpf, Obbe A. Tuinenburg, and Jonathan F. Donges
Publication Date
29 April 2020
Publisher
Physical Review E (vol. 101)
DOI / URL
Resource Type
Academic Journal Article
Systems Addressed
Ecosystems