This National Science Foundation project grant of $199,984 supports the development of model enabled machine learning approaches to predict ecosystem regime shifts through the Biological Sciences program (CFDA 47.074). The University of Hawaii at Manoa will receive funding from January 15, 2023 through December 31, 2025 to co-develop numerical methods with stakeholders that combine theoretical ecosystem models with machine learning to forecast regime shifts in coral reefs, freshwater lakes experiencing algal blooms, and stressed mangrove systems. The goal is to operationalize these predictive tools as open-source R and Julia coding packages to promote equitable science in data-limited environments. If successful, model enabled machine learning could help ecosystem managers anticipate and address future disruptions.
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