From tipping point to tipping set: Extending the concept of regime shift to uncertain dynamics for real-world applications.

The concept of regime shift generally refers to a deterministic dynamical system switching from an attraction basin to another after an isolated perturbation. However, when the dynamics is constantly submitted to random perturbations, the system can go back and forth between attraction basins and the usual concept seems inadequate. To address this issue, we consider a stochastic dynamical system and we assume that its functioning is satisfactory in a subset of its state space, called the satisfaction set. We define regimes with respect to the propensity of the system to become and to remain satisfactory. We investigate two indicators available in the literature: (i) the first-exit time from the satisfaction set and (ii) the sojourn time in the satisfaction set. Using statistics on these indicators, we define regimes of durable or resilient satisfaction. Applying the same definitions to the dissatisfaction set, we define durable or resilient dissatisfaction. Our results show the emergence of a tipping set, equivalent to tipping point in the deterministic case. We illustrate our approach using three different types of dynamics: two theoretical models based on the exploitation of natural resources and predator–prey dynamics, as well as the eutrophication of the French Lake Bourget. • We propose conceptual tools integrating uncertainty within regime shifts. • We introduce a satisfaction set defined by constraints that we want to comply with. • Such an approach generalizes the classical definition of regime shifts. • We define tipping sets, the equivalent of tipping points for deterministic dynamics. • We applied our approach on two models before addressing the real case of lake Bourget. [ABSTRACT FROM AUTHOR]