Precision in estimates of density and biomass of Norwegian spring-spawning herring based on acoustic surveys

References

• Anon. 2010. Official Journal of the European Union, L 41/14. Commission Decision of 18 December 2009 adopting a multiannual Community programme for the collection, management and use of data in the fisheries sector for the period 2011–2013 (notified under document C(2009) 0121) (2010/93/EU). 64 pages.
   Google Scholar
• Cochran WG. 1977. Sampling Techniques. 3rd edition. New York: John Wiley and Sons. 428 pages.
   Google Scholar
• Efron B. 1982. The Jackknife, the Bootstrap and Other Resampling Plans. Philadelphia: Society of Industrial and Applied Mathematics (SIAM). 92 pages.
   Google Scholar
• Everson IM, Bravington M, Gossa I. 1996. A combined acoustic and trawl survey for efficiently estimating fish abundance. Fisheries Research 26:75–91.
   Web of Science ®Google Scholar
• Foote KG, Knudsen HP, Vestnes G, MacLennan DN, Simmonds EJ. 1987. Calibration of acoustic instruments for fish density estimation: A practical guide. ICES Cooperative Research Report 144:1–57.
   Google Scholar
• Francis RICC. 1984. An adaptive strategy for stratified random trawl surveys. New Zealand Journal of Marine and Freshwater Research 18:59–71.
   Web of Science ®Google Scholar
• Godø OR, Wespestad VG. 1993. Monitoring changes in abundance of gadoids with varying availability to trawl and acoustic surveys. ICES Journal of Marine Science 50:39–51.
   Web of Science ®Google Scholar
• Harbitz A, Aschan M. 2003. A two-dimensional geostatistic method to simulate the precision of abundance estimates. Canadian Journal of Fisheries and Aquatic Sciences 60:1539–51.
   Web of Science ®Google Scholar
• Harbitz A, Ona E, 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 66:1349–54.
   Web of Science ®Google Scholar
• Hirst D, Aanes S, Storvik G, Tvete IF. 2004. Estimating catch at age from market sampling data using a Bayesian hierarchical model. Journal of the Royal Statistical Society C: Applied Statistics 53:1–14.
   Google Scholar
• Hirst D, Storvik G, Aldrin M, Aanes S, Huseby RB. 2005. Estimating catch-at-age by combining data from different sources. Canadian Journal of Fisheries and Aquatic Sciences 62:1377–85.
   Web of Science ®Google Scholar
• Hirst D, Storvik G, Rognebakke H, Aldrin M, Aanes S, Vølstad JH. 2012. A Bayesian modelling framework for the estimation of catch-at-age of commercially harvested fish species. Canadian Journal of Marine Science 69:2064–76.
   Google Scholar
• Hjelvik V, Handegard NO, Ona E. 2008. Correcting for vessel avoidance in acoustic-abundance estimates for herring. ICES Journal of Marine Science 65:1036–45.
   Web of Science ®Google Scholar
• Holst JC, Røttingen I, Melle W. 2004. The herring. In: Skjoldal HR, Sætre R, Færno A, Misund OA Røttingen I, editors. The Norwegian Sea Ecosystem. Trondheim, Norway: Tapir Academic Press, p 203–26.
   Google Scholar
• ICES. 2009. Report of the PGNAPES Scrutiny of Echograms Workshop (WKECHO-SCRU), 16–18 February 2009, Bergen, Norway. ICES CM 2009/RMC:02. 20 pages.
   Google Scholar
• ICES. 2013a. Report of the Working Group on Widely Distributed Stocks (WGWIDE), 27 August–2 September 2013, Copenhagen, Denmark. ICES CM 2013/ACOM:15. 950 pages.
   Google Scholar
• ICES. 2013b. Report of the Second Workshop on Practical Implementation of Statistical Sound Catch Sampling Programmes, 6–9 November 2012, Copenhagen, Denmark. ICES CM 2012/ACOM:54. 71 pages.
   Google Scholar
• Jessen RJ. 1978. Statistical Survey Techniques. New York: John Wiley & Sons. 520 pages.
   Google Scholar
• Jolly GM, Hampton I. 1990. A stratified random transect design for acoustic surveys of fish stocks. Canadian Journal of Fisheries and Aquatic Sciences 47:1282–91.
   Web of Science ®Google Scholar
• Korn EL, Graubard BI. 1998. Variance estimation for superpopulation parameters. Statistica Sinica 8:1131–51.
   Web of Science ®Google Scholar
• Kotwicki S, De Robertis A, Ianelli JN, Punt A, Horne JK. 2012. Combining bottom trawl and acoustic data to model acoustic dead zone correction and bottom trawl efficiency parameters for semipelagic species. Canadian Journal of Fisheries and Aquatic Sciences 70:208–19.
   Web of Science ®Google Scholar
• Lehtonen R, Pahkinen E. 2004. Practical Methods for Design and Analysis of Complex Surveys. 2nd edition. New York: John Wiley and Sons. 349 pages.
   Google Scholar
• Lumley T. 2010. Complex Surveys. A Guide to Analysis using R. New York: John Wiley & Sons. 276 pages.
   Google Scholar
• Løland A, Aldrin M, Ona E, Hjellvik V, Holst JC. 2007. Estimating and decomposing total uncertainty for survey-based abundance estimates of Norwegian spring-spawning herring. ICES Journal of Marine Science 64:1302–12.
   Web of Science ®Google Scholar
• MacLennan DN, Fernandes PG, Dalen J. 2002. A consistent approach to definitions and symbols in fisheries acoustics. ICES Journal of Marine Science 59:365–69.
   Web of Science ®Google Scholar
• Maravallias CD, Reid DG, Simmonds EJ. 1996. Spatial analysis and mapping of acoustic survey data in the presence of high local variability: Geostatistical application to North Sea herring (Clupea harengus). Canadian Journal of Fisheries and Aquatic Sciences 53:1497–505.
   Web of Science ®Google Scholar
• McQuinn IH, Simrad Y, Stroud TWF, Beaulieu JL, Walsh SJ. 2005. An adaptive, integrated ‘acoustic-trawl’ survey design for Atlantic cod (Gadus morhua) with estimation of acoustic and trawl dead zones. ICES Journal of Marine Science 62:93–106.
   Web of Science ®Google Scholar
• Nielsen A, Berg CW. 2014. Estimation of time-varying selectivity in stock assessments using state-space models. Fisheries Research 158:96–101.
   Web of Science ®Google Scholar
• Ona E, Mitson RB. 1996. Acoustic sampling and signal processing near the seabed: The deadzone revisited. ICES Journal of Marine Science 53:677–90.
   Web of Science ®Google Scholar
• Rose G, Gauthier S, Lawson G. 2000. Aquatic surveys in full monte: Simulating uncertainty. Aquatic Living Resources 13:367–72.
   Web of Science ®Google Scholar
• Shepherd JG. 1999. Extended survivors analysis: an improved method for the analysis of catch-at-age data and abundance indices. ICES Journal of Marine Science 56:584–91.
   Web of Science ®Google Scholar
• Simmonds EJ, Fryer RJ. 1996. Which are better, random or systematic acoustic surveys? A simulation using North Sea herring as an example. ICES Journal of Marine Science 53:39–50.
   Web of Science ®Google Scholar
• Simmonds EJ, MacLennan D. 2005. Fisheries Acoustics: Theory and Practice. Oxford: Blackwell Science. 437 pages.
   Google Scholar
• Simmonds EJ, Gutierrez M, Chipollini A, Gerlotto F, Woillez M, Bertrand A. 2009. Optimizing the design of acoustic surveys of Peruvian anchoveta. ICES Journal of Marine Science 66:1341–48.
   Web of Science ®Google Scholar
• Skaret G, Axelsen BE, Nøttestad L, Fernö A, Johannessen A. 2005. The behavior of spawning herring in relation to a survey vessel. ICES Journal of Marine Science 62:1061–64.
   Web of Science ®Google Scholar
• Thorson JT, Clarke ME, Stewart IJ, Punt AE. 2013. The implications of spatially varying catchability on bottom trawl surveys of fish abundance: A proposed solution involving underwater vehicles. Canadian Journal of Fisheries and Aquatic Sciences 70:294–306.
   Web of Science ®Google Scholar
• Tjelmeland S. 2002. A model for the uncertainty around the yearly trawl-acoustic estimate of biomass of Barents Sea capelin, Mallotus villosus (Müller). ICES Journal of Marine Science 59:1072–80.
   Web of Science ®Google Scholar
• Toresen R, Gjøsæter H, de Barros P. 1998. The acoustic method as used in the abundance estimation of capelin (Mallotus villosus Müller) and herring (Clupea harengus Linné) in the Barents Sea. Fisheries Research 34:27–37.
   Web of Science ®Google Scholar
• Totland A, Godø OR. 2001. BEAM – An interactive GIS application for acoustic abundance estimation. In: Nishida T, Kailola PR, Hollingworth CE, editors. Proceedings of the First Symposium on Geographic Information System (GIS) in Fisheries Science. Saitama, Japan: Fishery GIS Research Group, p 195–201.
   Google Scholar
• Walline PD. 2007. Geostatistical simulations of eastern Bering Sea walleye pollock spatial distributions, to estimate sampling precision. ICES Journal of Marine Science 64:559–69.
   Web of Science ®Google Scholar
• Williams RL. 2000. A note on robust variance estimation for cluster-correlated data. Biometrics 56:645–46.
   PubMed Web of Science ®Google Scholar
• Woillez M, Rivoirard J, Fernandes PG. 2009. Evaluating the uncertainty of abundance estimates from acoustic surveys using geostatistical simulations. Canadian Journal of Fisheries and Aquatic Sciences 66:1377–83.
   Google Scholar
• Wolter KM. 1985. Introduction to Variance Estimation. New York: Springer. 427 pages.
   Google Scholar