Data from: Conditional heteroskedasticity as a leading indicator of ecological regime shifts

Ecological regime shifts sometimes have severe consequences for human well-being including eutrophication in lakes, desertification, and species extinctions. Theoretical and laboratory evidence suggests that statistical anomalies may be detectable leading indicators of regime shifts in ecological time series, making it possible to foresee and potentially avert incipient regime shifts.

Conditional heteroskedasticity is persistent variance which is characteristic of time series with clustered volatility. Here, we analyze conditional heteroskedasticity as a potential leading indicator of regime shifts in ecological time series. We evaluate conditional heteroskedasticity using ecological models with and without four types of critical transition.