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Issue Aquat. Living Resour.
Volume 22, Number 2, April-June 2009
Fish Stock Assessments Using Surveys and Indicators
Page(s) 207 - 216
DOI 10.1051/alr/2009003
Published online 17 June 2009

References of  Aquat. Living Resour. 22, 207–216 (2009)
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  • Hillary R., 2009, An introduction to FLR fisheries simulation tools. Aquat. Living Resour. 22, 225–232.
  • Johnson S.J., Quinn T.J. II, 1987, Length frequency analysis of sablefish in the Gulf of Alaska. Technical Report UAJ-SFS-8714, University of Alaska, School of Fisheries and Science, Juneau, Alaska. Contract report to Auke Bay National Laboratory.
  • Needle C.L., Hillary R., 2007, Estimating uncertainty in nonlinear models: applications to survey-based assessments. ICES CM 2007/O:36.
  • NRC, 1998, Improving fish stock assessments. Washington, D.C., National Academy Press. (Appendix E describes the data generation; Appendix I shows plots of biomass trajectories).
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  • Pope J.G., Shepherd J.G., 1982, A simple method for the consistent interpretation of catch-at-age data. J. Cons. Internat. Explor. Mer 40, 176–184.
  • Quinn T.J.II, Deriso R.B., 1999, Quantitative Fish Dynamics. Oxford, Oxford University Press.
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  • Trenkel V.M., 2007, A biomass random effects model (BREM) for stock assessment using only survey data: application to Bay of Biscay anchovy. ICES CM 2007/O:03.
  • Trenkel V.M., 2008, A two-stage biomass random effects model for stock assessment without catches: What can be estimated using only biomass survey indices? Can. J. Fish. Aquat. Sci. 65, 1024–1035 [CrossRef].



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