Free Access
Aquat. Living Resour.
Volume 23, Number 4, October-December 2010
Page(s) 343 - 352
Section Thematic section
Published online 30 September 2010
  • Anon. 2009, Report of the Standing Committee on Research and Statistics. Available from [Google Scholar]
  • Block B.A., Costa D.P., Boehlert G.W., Kochevar R.E., 2002, Revealing pelagic habitat use: the tagging of Pacific pelagics program. Oceanol. Acta 25, 255–266. [CrossRef] [Google Scholar]
  • Block B.A., Dewar H., Williams T., Prince E.D., Farwell C., Fudge D., 1998, Archival tagging of Atlantic bluefin tuna (Thunnus thynnus). Mar. Technol. Soc. J. 32, 37–46. [Google Scholar]
  • Block B.A., Teo S.L.H., Walli A., Boustany A., Stokesbury M.J.W., Farwell C.J., Weng K.C., Dewar H., Williams T., 2005, Electronic tagging and population structure of Atlantic bluefin tuna. Nature 434, 1121. [CrossRef] [PubMed] [Google Scholar]
  • Brownie C., Anderson D.R., Burnham K.P., Robson D.S., 1985, Statistical Inference from Band Recovery Data: a Handbook. U.S. Fish and Wildlife Service Resource Publication. [Google Scholar]
  • Dupuis J.A., 1995 Bayesian estimators of movement and survival probabilities from capture-recapture data. Biometrika 84, 761–772. [Google Scholar]
  • Gaertner D., Hallier J.P., 2003, Estimate of natural mortality of bigeye tuna (Thunnus obesus) in the Eastern Atlantic from a tag attrition model. ICCAT Col. Vol. Sci. Pap. 55, 1868–1879. [Google Scholar]
  • Hearn W.S., Polacheck T., Pollock K.H., Whitelaw W., 1999, Estimation of tag reporting rates in age-structured multicomponent fisheries where one component has observers. Can. J. Fish. Aquat. Sci. 56, 1255–1265. [CrossRef] [Google Scholar]
  • Hearn W.S., Pollock K.H., Brooks E.N., 1998, Pre- and post-season tagging models: estimation of reporting rate and fishing and natural mortality rates. Can. J. Fish. Aquat. Sci. 55, 199–205. [CrossRef] [Google Scholar]
  • Heifetz J., Maloney N.E., 2001, Estimation of tag-reporting rates for sablefish in the Northeastern Pacific Ocean. Alaska Fish. Res. Bull. 8, 1–11. [Google Scholar]
  • Hoenig J.M., Barrowman N.J., Hearn W.S., Pollock K.H., 1998, Multiyear tagging studies incorporating fishing effort data. Can. J. Fish. Aquat. Sci. 55, 1466–1476. [CrossRef] [Google Scholar]
  • Hoyle S., Peel D., Ovenden J.R., Broderick D., Buckworth R.C., 2005, LOCUSEATER and SHADOWBOXER: programs to optimize experimental design and multiplexing strategies for genetic mark-recapture. Mol. Ecol. Notes 5, 974–976. [CrossRef] [Google Scholar]
  • Jorgensen T., Ovredal J.T., Huse I., 2005, A new pass-through PIT tag detection system for marine use. Proceedings of the Fifth Conference on Fish Telemetry held in Europe. 261–268. [Google Scholar]
  • Kimura D.K., 1976, Estimating the total number of marked fish present in a catch. T. Am. Fish. Soc. 105, 664–668. [CrossRef] [Google Scholar]
  • Kiyota M., Nakano H., 2000, Validation of shark catch data of the logbook records in the Japanese longline fishery in the Atlantic Ocean. ICCAT Col. Vol. Sci. Pap. 51, 1776–1783. [Google Scholar]
  • Latour R.J., Hoenig J.M., Hepworth D.A., Frusher S.D., 2003, A novel tag-recovery model with two size classes for estimating fishing and natural mortality, with implications for the southern rock lobster (Jasus edwardii) in Tasmania, Australia. ICES J. Mar. Sci. 60, 1075–1085. [CrossRef] [Google Scholar]
  • Lunn D.J., Thomas A., Best N., Spiegelhalter D., 2000, WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Stat. Comput. 10, 325–337. [CrossRef] [Google Scholar]
  • Palsboll P.J., 1999, Genetic tagging: contemporary molecular ecology. Biol. J. Linn. Soc. 68, 3–22. [CrossRef] [Google Scholar]
  • Paulik G.J., 1961, Detection of incomplete reporting of tags. J. Fish. Res. Board Can. 18, 817–832. [Google Scholar]
  • Pollock K.H., Conroy M.J., Hearn W.S., 1995, Separation of hunting and natural mortality using ring-return models: An overview. J. Appl. Stat. 22, 557–566. [CrossRef] [Google Scholar]
  • Pollock K.H., Hearn W.S., Polacheck T., 2002a, A general model for tagging on multiple component fisheries: an integration of age-dependent reporting rates and mortality estimation. Environ. Ecol. Stat. 9, 57–69. [CrossRef] [Google Scholar]
  • Pollock K.H., Hoenig J.M., Hearn W.S., Calingert B., 2001, Tag reporting rate estimation: 1 An evaluation of the high-reward tagging method. N. Am. J. Fish. Manage. 21, 521–532. [CrossRef] [Google Scholar]
  • Pollock K.H., Hoenig J.M., Hearn W.S., Calingert B., 2002b, Tag reporting rate estimation: 2, Use of high-reward tagging and observers in multiple-component fisheries. N. Am. J. Fish. Manage. 22, 727–736. [CrossRef] [Google Scholar]
  • R Development Core Team, 2006, R: a language and environment for statistical computing. R Foundation for Statistical Computing. Vienna, Austria. [Google Scholar]
  • Sedberry G.R., Loefer J.K., 2001, Satellite telemetry tracking of swordfish, Xiphias gladius off the eastern United States. Mar. Biol. 139, 355–360. [CrossRef] [Google Scholar]
  • SPC, 2008, Annual report 2008 and Work plan 2009. Available from 2008 annual report and 2009 work plan.pdf. [Google Scholar]

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