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ICES Journal of Marine Science: Journal du Conseil Advance Access originally published online on July 11, 2007
ICES Journal of Marine Science: Journal du Conseil 2007 64(8):1512-1516; doi:10.1093/icesjms/fsm096
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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

A strategy for developing scientific sampling tools for fishery-independent surveys of estuarine fish in New South Wales, Australia

D. Rotherham1,, A. J. Underwood2, M. G. Chapman2 and C. A. Gray1

1 NSW Department of Primary Industries, Cronulla Fisheries Research Centre of Excellence, PO Box 21, Cronulla, NSW 2230, Australia
2 Centre for Research on Ecological Impacts of Coastal Cities, Marine Ecology Laboratories A11, University of Sydney, NSW 2006, Australia

Correspondence to D. Rotherham: tel: +61 2 9527 8411; fax: +61 2 9527 8576; e-mail: douglas.rotherham{at}dpi.nsw.gov.au

Rotherham, D., Underwood, A. J., Chapman, M. G., and Gray, C. A. 2007. A strategy for developing scientific sampling tools for fishery-independent surveys of estuarine fish in New South Wales, Australia. – ICES Journal of Marine Science, 64: 1512–1516.

The limitations of using fishery-dependent data, i.e. from commercial and recreational fisheries to assess harvested stocks of fish and invertebrates, are well known. Increasingly, fishery-independent surveys are used to validate data from fishery-dependent sources and to provide indices of recruitment and broader ecological information about species not normally retained in fishing operations. Any large-scale, long-term, fishery-independent study must develop sampling gear and designs that are standardized, representative, optimal with respect to the quantity and structure of catch, and replicated over relevant spatial and temporal scales. We present a strategy for achieving appropriate sampling designs. This involves: (i) identifying suitable sampling gears for target species; (ii) testing different configurations of gear and sampling practices to ensure that samples are optimal, representative, and cost efficient; (iii) understanding scales of spatial and temporal variability; and (iv) cost–benefit analyses to optimize replication. Examples of this strategy are illustrated, with brief considerations of the values of pilot research in developing fishery-independent sampling.

Keywords: cost–benefit analysis, fishery-independent survey, pilot study, spatial and temporal variation, standardized sampling

Received 30 August 2006; accepted 27 May 2007; advance access publication 11 July 2007.


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