Interaction network based early-warning indicators of vegetation transitions

Giulio Tirabassi; Jan Viebahn; V. Dakos; Hendrik Dijkstra; C. Masoller; Max Rietkerk; Stefan Dekker

doi:10.1016/j.ecocom.2014.06.004

Interaction network based early-warning indicators of vegetation transitions

Giulio Tirabassi, Jan Viebahn, V. Dakos, Hendrik Dijkstra, C. Masoller, Max Rietkerk, Stefan Dekker

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Research output: Contribution to journal › Article › Academic › peer-review

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.

Original language	English
Pages (from-to)	148–157
Number of pages	10
Journal	Ecological Complexity
Volume	19
DOIs	https://doi.org/10.1016/j.ecocom.2014.06.004
Publication status	Published - 2014

Keywords

Desertification
Early-warning indicators
Networks
Catastrophic transitions

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10.1016/j.ecocom.2014.06.004

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title = "Interaction network based early-warning indicators of vegetation transitions",

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",

author = "Giulio Tirabassi and Jan Viebahn and V. Dakos and Hendrik Dijkstra and C. Masoller and Max Rietkerk and Stefan Dekker",

year = "2014",

doi = "10.1016/j.ecocom.2014.06.004",

language = "English",

volume = "19",

pages = "148–157",

journal = "Ecological Complexity",

issn = "1476-945X",

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TY - JOUR

T1 - Interaction network based early-warning indicators of vegetation transitions

AU - Tirabassi, Giulio

AU - Viebahn, Jan

AU - Dakos, V.

AU - Dijkstra, Hendrik

AU - Masoller, C.

AU - Rietkerk, Max

AU - Dekker, Stefan

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Desertification

KW - Early-warning indicators

KW - Networks

KW - Catastrophic transitions

U2 - 10.1016/j.ecocom.2014.06.004

DO - 10.1016/j.ecocom.2014.06.004

M3 - Article

SN - 1476-945X

VL - 19

SP - 148

EP - 157

JO - Ecological Complexity

JF - Ecological Complexity

ER -

Interaction network based early-warning indicators of vegetation transitions

Abstract

Keywords

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