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ICES Journal of Marine Science: Journal du Conseil Advance Access originally published online on June 23, 2009
ICES Journal of Marine Science: Journal du Conseil 2009 66(10):2148-2154; doi:10.1093/icesjms/fsp172
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© 2009 International Council for the Exploration of the Sea. Published by Oxford Journals. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

The risk to fishery performance associated with spatially resolved management of Antarctic krill (Euphausia superba) harvesting

Simeon L. Hill1, Philip N. Trathan1 and David J. Agnew2

1 British Antarctic Survey, Natural Environment Research Council, High Cross, Madingley Road, Cambridge CB3 0ET, UK
2 Department of Biology, Imperial College, London SW7 2BP, UK

Correspondence to S. L. Hill: tel: +44 1223 221233; fax: +44 1223 221233; e-mail: sih{at}bas.ac.uk

Hill, S. L., Trathan, P. N., and Agnew, D. J. 2009. The risk to fishery performance associated with spatially resolved management of Antarctic krill (Euphausia superba) harvesting. – ICES Journal of Marine Science, 66: 2148–2154.

The ecosystem approach to fisheries attempts to define objectives for target species, the wider ecosystem, and critically, the fishery itself. Proposals for implementing the approach often include spatial restrictions on harvesting, so it is important to understand how these will affect fishery performance. One metric of potential performance is the probability of encountering exploitable densities of a target species at the scale of fishing operations. The probability of encountering exploitable densities of Antarctic krill, Euphausia superba, at the scale of 1 nautical mile during an acoustic survey was predicted by bathymetry and the mean krill density at the larger scale at which the fishery is managed. This suggests that the risk to fishery performance will increase if management actions relocate the fishery into deeper water. The results also suggest that ecosystem models resolved to the spatial scale of management units could usefully predict effects at the scale of fishing operations. However, correct parameterization of these models will require better characterization of threshold densities for efficient exploitation. Finally, the distribution of catch and fishing effort over an entire fishing season reflected the distribution of krill density observed during the survey.

Keywords: Antarctic krill, ecosystem approach to fisheries, ecosystem model, management strategy evaluation, risk evaluation, spatial distribution

Received 9 January 2009; accepted 15 May 2009; advance access publication 23 June 2009.


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