New papers on early-warning research appeared in the last weeks

There was an avalanche of new work on early-warning indicators. A review paper in Science by Scheffer et al summarized work that has been developing in the field and set new research questions involving networks and critical transitions, whereas three research papers focused on raising awareness on the application of early-warnings: Boettiger and Hastings showed how transitions may occur with no critical point associated with them and how they can be discriminated, Perretti and Munch exemplified how high levels of noise may hinder the identification of early-warning signals, and Kéfi et al demonstrated how early-warning indicators are not specific for catastrophic transitions but can also be signaling non-catastrophic, continuous shifts. Lastly, Brock and Carpenter updated a non-parametric approach for identifying early-warning indicators that stands somewhere between the pure metric-based approaches and the model-based ones.

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