Predicting fisheries bycatch of protected species in dynamic seascapes

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This project aims to advance global capacity to predict where and when incidental catch (bycatch) of protected non-target species (seabirds, marine turtles) occurs in longline fisheries, by harnessing the power of big data analytics. Using innovative interdisciplinary techniques, this project expects to generate new knowledge in marine ecology and fisheries oceanography. Expected outcomes include new institutional and disciplinary collaborations, advances in theory, and the development of novel digital tools for management authorities and industry. This should provide significant benefits, such as reduced costs to the fishing industry, risk reduction in decision-making, and progress towards international sustainable development goals.