Forecasting coral reef recovery with new data-driven dispersal models

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This project aims to combine innovative mathematical methods and new genetic data to accurately predict the larval dispersal patterns of reef fish and corals. Larval dispersal is central to the ecology of coral reefs, and has vital implications for conservation. Most marine organisms spend their early life dispersing in the ocean, but our understanding of where these tiny larvae go is limited by sparse data and unvalidated models. Applied to extensive case-studies from Australia and across the western Pacific Ocean, these methods will be used to forecast and understand the recovery of fish and coral populations following severe disturbances. This will provide benefits such as enabling us to prioritise conservation actions in the aftermath of severe disturbances, including the catastrophic 2016 mass coral bleaching on the Great Barrier Reef.