Their sustainability is therefore a major societal concern. Both fisheries entail direct and indirect impacts on mixed species communities while also generating large economic returns. This thesis proposes an application of this co-viability approach to the sustainable management of mixed fisheries, using two contrasting case studies: the French Bay of Biscay (BoB) demersal mixed fishery and the Australian Northern Prawn Fishery (NPF). The stochastic co-viability approach addresses the trade-offs associated with balancing ecological, economic and social objectives throughout time, and takes into account the complexity and uncertainty of the dynamic interactions which characterize exploited ecosystems and biodiversity. These tools need to integrate (i) ecological and socio-economic drivers of changes in fisheries and ecosystems (ii) complex dynamics (iii) deal with various sources of uncertainty and (iv) incorporate multiple, rather than single objectives. Decision-support tools are increasingly required to operationalize the ecosystem-based approach to fisheries management. Empirical evidence and the theoretical literature both point to stock sustainability and the protection of marine biodiversity as important fisheries management issues.
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