Kate J. Helmstedt

The paper assesses whether standard ecological data can identify bistability and tipping points in ecosystems using synthetic data and profile likelihood analysis.

This paper uses value of information analysis to guide simplifying adaptive management models for ecosystems under climate change, finding that model complexity should depend on non-stationarity and uncertainty levels.

The paper develops an adaptive management framework using AI to determine optimal time limits for technology development, balancing costs, benefits, and uncertainties in dynamic systems like ecosystems.

The paper models optimal crown-of-thorns starfish control strategies on the Great Barrier Reef to maximize coral cover protection.