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Interaction network based early-warning indicators of vegetation transitions
Tirabassi, Giulio; Viebahn, Jan P.; Dakos, Vasilis; Dijkstra, Hendrik; Masoller Alonso, Cristina; Rietkerk, Max; Dekker, Stefan C.
Universitat Politècnica de Catalunya. Departament de Física i Enginyeria Nuclear; Universitat Politècnica de Catalunya. DONLL - Dinàmica no Lineal, Òptica no Lineal i Làsers
Changes in vegetation patterns in semi-arid regions can precede the abrupt transition to bare soil. Here, complex network techniques are used to develop novel early-warning indicators for these desertification transitions. These indicators are applied to results from a local positive feedback vegetation model and are compared to classical indicators, such as the autocorrelation and variance of biomass time series. A quantitative measure is also introduced to evaluate the quality of the early-warning indicators. Based on this measure, the network-based indicators are superior to the classical ones, being more sensitive to the presence of the transition point.
Peer Reviewed
-Àrees temàtiques de la UPC::Desenvolupament humà i sostenible
-Desertification
-Resilience (Ecology)
-Desertification
-Early-warning indicators
-Networks
-Catastrophic transitions
-Catastrophic shifts
-Ecosystems
-Signals
-Resilience
-Desertització
-Ecologia
Article - Published version
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