Early-warning signals for critical transitions

@article{Scheffer2009EarlywarningSF,
  title={Early-warning signals for critical transitions},
  author={Marten Scheffer and Jordi Bascompte and William A. Buz Brock and Victor A. Brovkin and Stephen R. Carpenter and Vasilis Dakos and Hermann Held and Egbert H. van Nes and Max Rietkerk and George Sugihara},
  journal={Nature},
  year={2009},
  volume={461},
  pages={53-59}
}
Complex dynamical systems, ranging from ecosystems to financial markets and the climate, can have tipping points at which a sudden shift to a contrasting dynamical regime may occur. Although predicting such critical points before they are reached is extremely difficult, work in different scientific fields is now suggesting the existence of generic early-warning signals that may indicate for a wide class of systems if a critical threshold is approaching. 

Topics from this paper

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References

SHOWING 1-10 OF 132 REFERENCES
Spatial correlation as leading indicator of catastrophic shifts
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.Expand
Interacting regime shifts in ecosystems: implication for early warnings
Big ecological changes often involve regime shifts in which a critical threshold is crossed. Thresholds are often difficult to measure, and transgressions of thresholds come as surprises. If aExpand
Changing skewness: an early warning signal of regime shifts in ecosystems.
TLDR
It is shown that changes in asymmetry in the distribution of time series data, quantified by changing skewness, is a model-independent and reliable early warning signal for both routes to regime shifts. Expand
Self-Organized Patchiness and Catastrophic Shifts in Ecosystems
TLDR
A review of recent studies on various ecosystems that link self-organized patchiness to catastrophic shifts between ecosystem states and the implications for management and recovery strategies for such ecosystems. Expand
Thresholds and breakpoints in ecosystems with a multiplicity of stable states
TLDR
This review discusses how alternate stable states can arise in simple 1- and 2-species systems, and applies these ideas to grazing systems, to insect pests, and to some human host–parasite systems. Expand
Slowing down as an early warning signal for abrupt climate change
TLDR
This work analyzes eight ancient abrupt climate shifts and shows that they were all preceded by a characteristic slowing down of the fluctuations starting well before the actual shift, implying independent empirical evidence for the idea that past abrupt shifts were associated with the passing of critical thresholds. Expand
Critical slowing down as an indicator of transitions in two-species models.
TLDR
Analytical techniques are used to draw general conclusions about the conditions under which critical slowing down provides an early indicator of transitions in two-species predator-prey and competition models to lead directly to predictions for more complex multi-species systems, which can be tested using simulation models or real ecosystems. Expand
Catastrophic regime shifts in ecosystems: linking theory to observation
Occasionally, surprisingly large shifts occur in ecosystems. Theory suggests that such shifts can be attributed to alternative stable states. Verifying this diagnosis is important because it impliesExpand
Detection of climate system bifurcations by degenerate fingerprinting
[1] A method is introduced to estimate the proximity of climate sub-systems to non-linear thresholds. We suggest to measure the smallest decay rate of the system under investigation and to considerExpand
A universal law of the characteristic return time near thresholds
TLDR
A universal law for this increase in characteristic return time to an equilibrium increases when a threshold is approached is found, which may be used to forecast the position of a threshold by extrapolation of empirical data. Expand
...
1
2
3
4
5
...