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Atlantis Ecosystem Model Summit: Report from a workshop

Author

Listed:
  • Weijerman, M.
  • Link, J.S.
  • Fulton, E.A.
  • Olsen, E.
  • Townsend, H.
  • Gaichas, S.
  • Hansen, C.
  • Skern-Mauritzen, M.
  • Kaplan, I.C.
  • Gamble, R.
  • Fay, G.
  • Savina, M.
  • Ainsworth, C.
  • van Putten, I.
  • Gorton, R.
  • Brainard, R.
  • Larsen, K.
  • Hutton, T.

Abstract

Ecosystem models can be used to understand the cumulative impacts of human pressures and environmental drivers on ecosystem structure and dynamics. Predictive modeling can show how management can influence those dynamics and structures and the ecosystem services these systems provide. Many nations and intergovernmental organizations are advocating for ecosystem-based management, often with a specific emphasis to evaluate various future management strategies. Atlantis is an end-to-end ecosystem model that is well suited for this task and has so far been developed for more than 30 diverse marine ecosystems worldwide. To provide a better understanding of the current modeling work, elicit wider interest, and foster collaboration within the Atlantis community, the first international Atlantis Summit was convened in December 2015. The main outcomes from this workshop included a clearer framework and infrastructure for model development and collaboration; the opportunity to perform common scenarios with a range of Atlantis models to analyze ecosystem responses to environmental and management-based perturbations; and the use of Atlantis as a test case for exploring the performance of single species, multispecies, and trophic food web models at an international level.

Suggested Citation

  • Weijerman, M. & Link, J.S. & Fulton, E.A. & Olsen, E. & Townsend, H. & Gaichas, S. & Hansen, C. & Skern-Mauritzen, M. & Kaplan, I.C. & Gamble, R. & Fay, G. & Savina, M. & Ainsworth, C. & van Putten, I, 2016. "Atlantis Ecosystem Model Summit: Report from a workshop," Ecological Modelling, Elsevier, vol. 335(C), pages 35-38.
    • Handle: RePEc:eee:ecomod:v:335:y:2016:i:c:p:35-38
    DOI: 10.1016/j.ecolmodel.2016.05.007
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    References listed on IDEAS

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    1. Elizabeth A Fulton & Anthony D M Smith & David C Smith & Penelope Johnson, 2014. "An Integrated Approach Is Needed for Ecosystem Based Fisheries Management: Insights from Ecosystem-Level Management Strategy Evaluation," PLOS ONE, Public Library of Science, vol. 9(1), pages 1-16, January.
    2. Mullon, C. & Steinmetz, F. & Merino, G. & Fernandes, J.A. & Cheung, W.W.L. & Butenschön, M. & Barange, M., 2016. "Quantitative pathways for Northeast Atlantic fisheries based on climate, ecological–economic and governance modelling scenarios," Ecological Modelling, Elsevier, vol. 320(C), pages 273-291.
    3. Hyder, Kieran & Rossberg, Axel G. & Allen, J. Icarus & Austen, Melanie C. & Barciela, Rosa M. & Bannister, Hayley J. & Blackwell, Paul G. & Blanchard, Julia L. & Burrows, Michael T. & Defriez, Emma & , 2015. "Making modelling count - increasing the contribution of shelf-seas community and ecosystem models to policy development and management," Marine Policy, Elsevier, vol. 61(C), pages 291-302.
    4. Daw, Tim & Gray, Tim, 2005. "Fisheries science and sustainability in international policy: a study of failure in the European Union's Common Fisheries Policy," Marine Policy, Elsevier, vol. 29(3), pages 189-197, May.
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    Cited by:

    1. Lopez de Gamiz-Zearra, A. & Hansen, C. & Corrales, X. & Andonegi, E., 2024. "Increasing the reliability of the Bay of Biscay Atlantis model: A sensitivity analysis to parameters perturbations using a Morris screening approach," Ecological Modelling, Elsevier, vol. 488(C).
    2. Bracis, Chloe & Lehuta, Sigrid & Savina-Rolland, Marie & Travers-Trolet, Morgane & Girardin, Raphaël, 2020. "Improving confidence in complex ecosystem models: The sensitivity analysis of an Atlantis ecosystem model," Ecological Modelling, Elsevier, vol. 431(C).

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