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ICES Journal of Marine Science: Journal du Conseil Advance Access originally published online on July 18, 2007
ICES Journal of Marine Science: Journal du Conseil 2007 64(6):1077-1084; doi:10.1093/icesjms/fsm109
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© 2007 International Council for the Exploration of the Sea. Published by Oxford Journals. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Designing tools to evaluate fishery management strategies: can the scientific community deliver?

Jon T. Schnute1,, Mark N. Maunder2 and James N. Ianelli3

1 Fisheries and Oceans Canada, Pacific Biological Station, 3190 Hammond Bay Road, Nanaimo, British Columbia, Canada, V9T 6N7
2 Inter-American Tropical Tuna Commission, 8604 La Jolla Shores Drive, La Jolla, CA 92037-1508, USA
3 Alaska Fisheries Science Center, REFM Division, NMFS/NOAA, Bldg 4, 7600 Sand Point Way NE, Seattle, WA 98115, USA

Correspondence to J. T. Schnute: tel: +1 250 7567000; fax: +1 250 7567053; e-mail: schnutej{at}pac.dfo-mpo.gc.ca

Schnute, J. T., Maunder, M. N., and Ianelli, J. N. 2007. Designing tools to evaluate fishery management strategies: can the scientific community deliver? – ICES Journal of Marine Science, 64: 1077–1084.

Techniques for quantitative fishery management have evolved rapidly during a period when computers, programming languages, and computational algorithms have also changed dramatically. Despite these advances, many stock assessment methods remain untested. A process of management strategy evaluation (MSE) could potentially rectify this problem, but it would require a framework in which to conduct systematic tests. We survey the tools currently used for stock assessments and discuss the development of new standards for testing management procedures. A successful project would depend on human skills scattered among various nations, organizations, and academic disciplines. Analogies from civil engineering illustrate the discipline and collaboration required for an effective outcome. If the world community of fishery scientists could design, build, and support such a project, it would revolutionize the theory, teaching, and practice of scientific fishery management.

Keywords: AD Model Builder, ADOL-C, Fisheries Library in R, management strategy evaluation, next generation, stock assessment, R, software

Received 17 May 2007; accepted 15 June 2007; advance access publication 18 July 2007.


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