POSEIDON
POSEIDON is an advanced simulation tool designed to help manage fisheries by modelling the behaviour of fishing fleets and their interactions with the environment. Using an approach based on adaptive agents —which are individual units in the model that learn, adapt, and make decisions based on their environment and experiences— it simulates how fishers respond to changing conditions, such as shifts in fish stock abundance, market prices, or regulatory policies, helping policymakers evaluate different strategies for managing fisheries in a sustainable way.
Real-World Applications of POSEIDON
POSEIDON has been tested in both conceptual studies and real-world fisheries, proving its ability to replicate typical fishing behaviours and predict the effects of various policies. For example, it has been used to manage fisheries on the US West Coast, in the Indonesian snapper and grouper fishery, and for tropical tuna in the Eastern Pacific Ocean. POSEIDON excels at modelling fishing fleets and regulatory policies, providing valuable insights into how these factors impact fishery systems.
POSEIDON within SURIMI
Within SURIMI, POSEIDON will be integrated with other models to enable better evaluation of management strategies and support the creation of policies that balance marine conservation with the economic needs of fishing communities. By combining scientific knowledge with the real-world needs of various stakeholders, POSEIDON plays a critical role in helping to create more sustainable fisheries management practices—essential for ensuring the health of marine ecosystems and the livelihoods of those who depend on them.
Figure 1. Inputs and Outputs
The SURIMI Toolbox
All SURIMI models, such as POSEIDON, will seamlessly integrate into the EU DTO, forming a comprehensive framework that combines social, ecological, and economic perspectives. These models will support data-driven decision-making for sustainable ocean management and resilient marine communities. While aligned with the EU DTO, they can also operate independently, extending their benefits beyond the framework.
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