ICES Journal of Marine Science: Journal du Conseil Advance Access originally published online on April 9, 2009
ICES Journal of Marine Science: Journal du Conseil 2009 66(6):1349-1354; doi:10.1093/icesjms/fsp088
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
This article appears in the following ICES Journal of Marine Science issue: The Ecosystem Approach with Fisheries Acoustics and Complementary Technologies [View the issue table of contents]
The use of an adaptive acoustic-survey design to estimate the abundance of highly skewed fish populations
1 Institute of Marine Research, Sykehusveien 23, PB 6404, N-9294 Tromsø, Norway
2 Institute of Marine Research, PB 1870 Nordnes, N-5817 Bergen, Norway
Correspondence to A. Harbitz: tel: +47 77609731; fax: +47 77609701; e-mail: alf.harbitz{at}imr.no.
Harbitz, A., Ona, E., and Pennington, M. 2009. The use of an adaptive acoustic-survey design to estimate the abundance of highly skewed fish populations. – ICES Journal of Marine Science, 66: 1349–1354.The uncertainty (relative root-mean-square error) of abundance estimates based on a simple and easily implemented adaptive design for an acoustic survey is examined. The study is limited to surveys with parallel transects and independent observations with extremely skewed distributions. The adaptive approach defines a stratum for each conventional observation and how to take additional observations in that stratum when the acoustic density exceeds a predetermined threshold. The cost (sailing distance) of each added observation is about three times that of a conventional observation. This method was demonstrated using high-resolution transect data from a herring (Clupea harengus) acoustic survey conducted in 2006 off the north coast of Norway. The primary sampling unit for this winter survey was 5 nautical miles, and the usual distance between transects was 20 nautical miles. The results indicate that an adaptive survey design would substantially reduce the root-mean-square error of the abundance estimates compared with that of the conventional survey design.
Keywords: abundance estimation, adaptive survey design, skew distribution, zero observations
Received 6 August 2008; accepted 5 January 2009; advance access publication 9 April 2009.