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Spatial correlation as leading indicator of catastrophic shifts

Open access
Dakos, Vasilis, van Nes, Egbert H., Donangelo, Raúl, Fort, Hugo, Scheffer, Marten·2010·Theoretical Ecology

Abstract

Generic early-warning signals such as increased autocorrelation and variance have been demonstrated in time-series of systems with alternative stable states approaching a critical transition. However, lag times for the detection of such leading indicators are typically long. Here, we show that increased spatial correlation may serve as a more powerful early-warning signal in systems consisting of many coupled units. We first show why from the universal phenomenon of critical slowing down, spatial correlation should be expected to increase in the vicinity of bifurcations. Subsequently, we explore the applicability of this idea in spatially explicit ecosystem models that can have alternative attractors. The analysis reveals that as a control parameter slowly pushes the system towards the threshold, spatial correlation between neighboring cells tends to increase well before the transition. We show that such increase in spatial correlation represents a better early-warning signal than indicators derived from time-series provided that there is sufficient spatial heterogeneity and connectivity in the system.

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Metadata

Authors
Dakos, V., van Nes, E. H., Donangelo, R., Fort, H., & Scheffer, M.
Venue
Theoretical Ecology
Published
2009-11-11
Volume
3
Issue
3
Pages
163-174
ISSN
  • 1874-1738 (ISSN-L)
  • 1874-1746
OpenAlex
W2159806788
Cited by
339
References
57
FWCI
10.83
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Spatial correlation as leading indicator of catastrophic shifts. https://app.cochat.ai/papers/10.1007/s12080-009-0060-6
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Dakos, V., van Nes, E. H., Donangelo, R., Fort, H., & Scheffer, M. (2010). Spatial correlation as leading indicator of catastrophic shifts. Theoretical Ecology. https://doi.org/10.1007/s12080-009-0060-6

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