Interaction network based early-warning indicators of vegetation transitions

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Access status: Embargo until 2050-01-01 , 1_s2.0_S1476945X14000695_main.pdf (2.81 MB)

Publication date

2014

Authors

Tirabassi, Giulio
Viebahn, J.P.ISNI 0000000443796731
Dakos, V.
Dijkstra, HenkISNI 0000000023267948
Masoller, C.
Rietkerk, MaxORCID 0000-0002-2698-3848ISNI 0000000047385244
Dekker, StefanORCID 0000-0001-7764-2464ISNI 0000000397042727

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Abstract

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.

Keywords

Desertification, Early-warning indicators, Networks, Catastrophic transitions

Citation

Tirabassi, G, Viebahn, J, Dakos, V, Dijkstra, H, Masoller, C, Rietkerk, M & Dekker, S 2014, 'Interaction network based early-warning indicators of vegetation transitions', Ecological Complexity, vol. 19, pp. 148–157. https://doi.org/10.1016/j.ecocom.2014.06.004