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The spectre of uncertainty in management of exploited fish stocks: The illustrative case of Atlantic bluefin tuna
Institution:1. Ifremer (Institut français de recherche pour l’exploitation de la mer), UMR 212 EME, Boulevard Jean Monnet, BP 171, 34203 Sète Cedex, France;2. AZTI-Tecnalia, Herrera Kaia, Portualdea z/g, 20110 Pasaia, Gipuzkoa, Spain;3. ICCAT (International Commission for the Conservation of Atlantic Tunas) Secretariat, Corazón de María 8, 28002 Madrid, Spain;1. Marine Affairs Program, Dalhousie University, 1355 Oxford St., Halifax, NS, Canada B3H1R2;2. School of Fisheries, Fisheries and Marine Institute of Memorial University of Newfoundland, 155 Ridge Road, St. John''s, NL, Canada A1C5R3;3. Department of Ocean Sciences, Memorial University of Newfoundland, Marine Lab Road, Logy Bay, NL, Canada A1K3E6;4. Department of Zoology and Biodiversity Research Centre, University of British Columbia, 2202 Main Mall, Vancouver, BC, Canada V6T1Z4;5. Management Science and Environmental Science, Saint Mary''s University, 923 Robie St., Halifax, NS, Canada B3H3C3;6. Department of Geography, Memorial University of Newfoundland, 300 Prince Philip Drive, St. John''s, NL, Canada A1B3X9;7. Department of Oceanography, Dalhousie University, 1355 Oxford St., Halifax, NS, Canada B3H4R2;8. School for Resource and Environmental Studies, Kenneth Rowe Management Building, 6100 University Avenue, Suite 5010, PO Box 15000, Halifax, NS, Canada B3H4R2;9. School of Environmental Studies, University of Victoria, David Turpin Building B245, Victoria, BC, Canada V8W2Y2;10. Center for Earth Observation Science, University of Manitoba, 535 Wallace Building, Winnipeg, MB, Canada R3T2N2;11. Department of Physics and Atmospheric Science, Dalhousie University, Sir James Dunn Building, 6310 Coburg Road, PO Box 15000, Halifax, NS, Canada B3H4R2;12. Fisheries Centre, University of British Columbia, 2202 Main Mall, Vancouver, BC, Canada V6T1Z4;13. Environment Department, University of York, Heslington, York YO10 5D, UK;1. Department of Sociology, University of New Hampshire, 15 Academic Way, Durham, NH, 03824, USA;2. Núcleo Transdisciplinar de Meio Ambiente e Desenvolvimento, Programa de Pós-Graduação em Sociologia Política, Universidade Federal de Santa Catarina, Centro de Filosofia e Ciências Humanas, Bloco D - Sala 303, Caixa Postal 476, Florianópolis, Santa Catarina, Brazil;3. Escola do Mar, Ciência e Tecnologia Ambiental - Laboratório de Conservação e Gerenciamento Costeiro, Universidade do Vale do Itajaí – UNIVALI, Rua Uruguai 458 Bloco D8 Sala104, Itajaí, Santa Catarina, Brazil;1. Environmental Science & Management, Portland State University, PO Box 751, Portland, OR 97207, United States;2. Sociology, Portland State University, PO Box 751, Portland, OR 97207, United States;3. US EPA, Office of Research and Development, Western Ecology Division, Corvallis, OR 97330, United States
Abstract:The recent overexploitation of East Atlantic and Mediterranean bluefin tuna stock has been well documented in the media where it has become the archetype of overfishing and general mis-management. Beyond the public debate, the crisis also highlighted how the interactions between science and management can change through time according to the awareness of the public opinion. To reflect these issues, the history of Atlantic bluefin tuna overfishing is first described. Then, the major uncertainties that undermine the current scientific advice are summarized and the importance of reducing their impacts by improving knowledge and developing robust scientific framework is considered. The study also discusses how uncertainty was used by different lobbies to discredit science-based management. The recent improvement in bluefin tuna stock status following the implementation of the rebuilding plan shows that, despite uncertainty in the scientific advice, the management of a heavily exploited fish stock can be positive when there is a political will. However, optimizing long-term yields of modern fisheries implies good science. The study concludes by advocating for the implementation of a scientific quota that should be part of the management framework to support the scientific advice.
Keywords:Overexploitation  Rebuilding  Uncertainty  Management  Scientific diagnosis  Tuna
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