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Characterization, Communication, and Management of Uncertainty in Tuna Fisheries

Author

Listed:
  • Gorka Merino

    (AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrera Kaia, Portualdea z/g, 20110 Pasaia, Spain)

  • Hilario Murua

    (International Seafood Sustainability Foundation, Washington, DC 20005, USA)

  • Josu Santiago

    (AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrera Kaia, Portualdea z/g, 20110 Pasaia, Spain)

  • Haritz Arrizabalaga

    (AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Herrera Kaia, Portualdea z/g, 20110 Pasaia, Spain)

  • Victor Restrepo

    (International Seafood Sustainability Foundation, Washington, DC 20005, USA)

Abstract

Tunas sustain important fisheries that face sustainability challenges worldwide, including the uncertainty inherent to natural systems. The Kobe process aims at harmonizing the scientific advice and management recommendations in tuna regional fisheries management organizations (RFMOs) toward supporting the sustainable exploitation of tunas globally. In this context, we review the similarities and differences among tuna RFMOs, focusing on stock assessment methodologies, use of information, characterization of uncertainty and communication of advice. Also, under the Kobe process, tuna RFMOs have committed to a path of adopting harvest strategies (HSs), also known as management procedures (MPs), which are the series of actions undertaken to monitor the stock, make management decisions, and implement the management measures. The adoption of HSs for tuna stocks is supported by Management Strategy Evaluation (MSE), which is considered the most appropriate way to assess the consequences of uncertainty for achieving fisheries management goals. Overall, notable progress has been made in achieving some of the Kobe objectives, but there are still some aspects that are inconsistent and need to be agreed upon, due to their management implications. First, not all RFMOs report on stock status based on maximum sustainable yield (MSY) as a reference. Instead, some use depletion level to represent the available fish biomass. Also, the definition of overexploited is not common in all oceans. Finally, very few stock assessments characterize all major sources of uncertainty inherent to fisheries. With regards to HSs, two different approaches are being followed: One is designed to adopt an automatic decision rule once the stock status and management quantities have been agreed upon (harvest control rules (HCRs), not strictly an HS) and the other aims at adopting all the components of HSs (data, use of information and decision rule).

Suggested Citation

  • Gorka Merino & Hilario Murua & Josu Santiago & Haritz Arrizabalaga & Victor Restrepo, 2020. "Characterization, Communication, and Management of Uncertainty in Tuna Fisheries," Sustainability, MDPI, vol. 12(19), pages 1-22, October.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:8245-:d:424513
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    References listed on IDEAS

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    1. de Bruyn, Paul & Murua, Hilario & Aranda, Martín, 2013. "The Precautionary approach to fisheries management: How this is taken into account by Tuna regional fisheries management organisations (RFMOs)," Marine Policy, Elsevier, vol. 38(C), pages 397-406.
    2. Ronald L. Iman & Jon C. Helton, 1988. "An Investigation of Uncertainty and Sensitivity Analysis Techniques for Computer Models," Risk Analysis, John Wiley & Sons, vol. 8(1), pages 71-90, March.
    3. Fromentin, Jean-Marc & Bonhommeau, Sylvain & Arrizabalaga, Haritz & Kell, Laurence T., 2014. "The spectre of uncertainty in management of exploited fish stocks: The illustrative case of Atlantic bluefin tuna," Marine Policy, Elsevier, vol. 47(C), pages 8-14.
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