1.6.4 Final Remarks

The EWS methods described in this chapter could be invaluable in understanding how climate and ecological systems are moving towards tipping points. A variety of different data types can be used to monitor the changing resilience of these systems, whether this be temporal, spatial, or more complex data. While many studies use models to test EWS, a number of studies already make use of real-world observations to do this. However, advances in machine learning techniques, in addition to longer and higher spatial resolution remote sensing products, can improve results. With these, we will be able to better determine with higher statistical accuracy if there are losses of resilience in systems, and in more systems than have been analysed so far.

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