The value of model complexity for fisheries management (2019–2022)

Abstract:
More than 99.8% of fisheries are assessed using single-species models. Since fishers harvest multiple interacting species, not considering these interactions can lead to negative outcomes that reduce food security, eliminate human livelihoods, decrease economic production, and harm the environment. This project aims to quantify the benefits of using dynamic multi-species models for harvest decisions. Expected outcomes of the project include 1) guidance for fisheries scientists on when to use multi-species models for management, 2) improved decision making to reduce the risk of fishery collapse, 3) a new method for dynamic model validation in the face of limited data, and 4) enhanced collaboration between modellers and applied agencies.
Grant type:
ARC Discovery Early Career Researcher Award
Researchers:
Funded by:
Australian Research Council