POSEIDON

POSEIDON: A model of fish, fishers, and fisheries

 

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.

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’s ongoing development is currently taking place within SURIMI, a Horizon Europe project that is part of the EU Mission "Restore our Ocean and Waters." The primary goal of SURIMI is to integrate POSEIDON with other fisheries models, notably EcoPath with EcoSim, as part of the European Digital Twin of the Ocean.

Development of POSEIDON within SURIMI is funded by UKRI. Previous funding has come from the Oxford Martin School, the Gordon and Betty Moore Foundation, the David and Lucile Packard Foundation, and the Walton Family Foundation.

Our collaborators on the SURIMI project include the Norwegian Research Centre, the Ecopath International Initiative, the European Marine Board, Aristotle University of Thessaloniki, the National Research Council of Italy, Konnecta Systems, and Erinn Innovation. Previous collaborators on various POSEIDON projects have included Ocean Conservancy, Arizona State University, George Mason University, U.C. Santa Barbara, the International Seafood Sustainability Foundation, The Nature Conservancy, and the Inter-American Tropical Tuna Commission.

 

Website: https://www.surimi-project.eu/poseidon/

RSE: Nicolas Payette

Collaborators: Prof. Richard Bailey, School of Geography and the Environment

 

Public repos

 https://github.com/poseidon-fisheries/POSEIDON

Publications

  • Carrella, E., Powers, J., Saul, S., Bailey, R. M., Payette, N., Vert-pre, K. A., Ananthanarayanan, A., Drexler, M., Dorsett, C., & Madsen, J. K. (2024). Rejection sampling and agent-based models for data limited fisheries. Frontiers in Marine Science, 11, 1243954. https://doi.org/10.3389/fmars.2024.1243954
  • Madsen, J., Powers, B., Bailey, R., Carrella, E., Payette, N., & Pilditch, T. (2024). Modelling adaptive and anticipatory human decision-making in complex human-environment system. Journal of Artificial Societies and Social Simulation, 27(1). https://doi.org/10.18564/jasss.5214
  • Payette, N., Carella, E., Vert-Pre, K., Powers, B., Saul, S., Drexler, M., Ananthanarayanan, A., & Bailey, R. (2023). Attracted to Fish: A Gravity-Based Model of Purse-Seine Vessel Behaviour. In F. Squazzoni (Ed.), Advances in Social Simulation (pp. 87–103). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-34920-1_8
  • Madsen, J. K., Bailey ,Richard, Carrella ,Ernesto, & and Koralus, P. (2021). From reactive towards anticipatory fishing agents. Journal of Simulation, 15(1–2), 23–37. https://doi.org/10.1080/17477778.2020.1742588
  • Carrella, E., Bailey, R., & Madsen, J. (2020). Calibrating Agent-Based Models with Linear Regressions. Journal of Artificial Societies and Social Simulation, 23(1), 7. https://doi.org/10.18564/jasss.4150
  • Burgess, M. G., Carrella, E., Drexler, M., Axtell, R. L., Bailey, R. M., Watson, J. R., Cabral, R. B., Clemence, M., Costello, C., Dorsett, C., Gaines, S. D., Klein, E. S., Koralus, P., Leonard, G., Levin, S. A., Little, L. R., Lynham, J., Madsen, J. K., Merkl, A., Wilcox, S. (2020). Opportunities for agent-based modelling in human dimensions of fisheries. Fish and Fisheries, 21(3), 570–587. https://doi.org/10.1111/faf.12447
  • Carrella, E., Saul, S., Marshall, K., Burgess, M. G., Cabral, R. B., Bailey, R. M., Dorsett, C., Drexler, M., Madsen, J. K., & Merkl, A. (2020). Simple adaptive rules describe fishing behaviour better than perfect rationality in the US West Coast Groundfish fishery. Ecological Economics, 169, 106449. https://doi.org/10.1016/j.ecolecon.2019.106449
  • Bailey, R. M., Carrella, E., Axtell, R., Burgess, M. G., Cabral, R. B., Drexler, M., Dorsett, C., Madsen, J. K., Merkl, A., & Saul, S. (2019). A computational approach to managing coupled human–environmental systems: The POSEIDON model of ocean fisheries. Sustainability Science, 14(2), 259–275. https://doi.org/10.1007/s11625-018-0579-9
  • Carrella, E., Bailey, R. M., & Madsen, J. K. (2019). Repeated discrete choices in geographical agent based models with an application to fisheries. Environmental Modelling & Software, 111, 204–230. https://doi.org/10.1016/j.envsoft.2018.08.023
  • Madsen, J. K., Bailey, R., Carrella, E., & Koralus, P. (2019). Analytic Versus Computational Cognitive Models: Agent-Based Modeling as a Tool in Cognitive Sciences. Current Directions in Psychological Science, 28(3), 299–305. https://doi.org/10.1177/0963721419834547