Predicting catastrophic shifts
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Catastrophic shifts pose a threat to ecology, early warning indicators are needed.

The tools suggested so far are aimed at predicting the tipping point.

However in spatial system the transition occurs when alternative state invades.

We suggest a cluster tracking technique to identify imminent shifts on spatial domains.

This technique also distinguish between smooth and catastrophic transitions.

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