Open Access
Knowl. Managt. Aquatic Ecosyst.
Number 413, 2014
Article Number 10
Number of page(s) 8
Published online 21 April 2014
  • Akçakaya H.R. andSjögren-Gulve P., 2000. Population viability analyses in conservation planning: an overview. Ecol. Bul., 48, 9–21.
  • Alos J., Palmer M., Alonso-Fernandez A. and Morales-Nin B., 2010. Individual variability and sex-related differences in the growth of Diplodus annularis(Linnaeus, 1758). Fish. Res., 101, 60–69. [CrossRef]
  • Bagenal T.B. and Tesch F.W., 1978. Age and Growth. In: Bagenal T.B. (ed.), Methods for the assessment of fish production in fresh waters. IBP Handbook No 3 (3rd edn). Blackwell, Oxford, 365 p.
  • Campana S.E., 1990. How reliable are growth back-calculation based on otoliths? Can. J. Fish. Aquat. Sci., 47, 2219–2227. [CrossRef]
  • Carlin B.P. and Louis T.A., 2000. Bayes and Empirical Bayes methods for data analysis. In: Texts in statistical science. Chapman & Hall, New York, 419 p.
  • Cavalli L.,Pech N. andChappaz R., 2003. Diet and growth of the endangered Zingel asper in the Durance river. J. Fish Biol., 63, 460–471. [CrossRef]
  • Danancher D.,Labonne J.,Gaudin P. andJoly P., 2007. Scales measurements as a conservation tool in endangered Zingel asper (Linnaeus, 1758). Aquat. Conserv.: Mar. Freshwat. Ecosyst., 17, 712–723. [CrossRef]
  • Francis R.I.C.C., 1990. Back-calculation of fish length: a critical review. J. Fish Biol., 36, 883–902. [CrossRef]
  • Fry F.E.J., 1943. A method for the calculation of the growth of fishes from scale measurements. Publ. Ont. Fish Res. Lab., 61, 5–18.
  • Gelman A. and Hill J., 2007. Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press, 610 p.
  • Geweke J., 1992. Evaluating the accuracy of sampling-based approaches to the calculation of posterior moments. In: Bayesian Statistics 4, Oxford University Press, 876 p.
  • Helser T.E., Lai H-L., andBlack B.A., 2012. Bayesian hierarchical modeling of pacific geoduck growth increment data and climate indices. Ecol. Model., 247, 210–220. [CrossRef]
  • Lunn D.J.,Thomas A.,Best N. andSpiegelhalter D., 2000. WinBUGS – a Bayesian modelling framework: concepts, structure, and extensibility. Stat. Comput., 10, 325–337. [CrossRef]
  • Morita K. and Matsuishi T., 2001. A new model of growth back-calculation incorporating age effect based on otoliths. Can. J. Fish. Aquat. Sci., 58, 1805–1811. [CrossRef]
  • Ntzoufras I., 2009. Bayesian modeling using WinBUGS: An Introdution. Wiley Series in Computational Statistics, 520 p.
  • Parent E. and Rivot E., 2012. Introduction to Hierarchical Bayesian Modeling for Ecological Data. CRC Press, Boca Raton, 405 p.
  • Pinheiro J.C. and Bates D.M., 2001. Mixed Models in S and S-Plus, 2nd edn, NY: Springer Verlag, 530 p.
  • Robert C.P., 2001. The Bayesian choice, 2nd edn. Springer texts in statistics, New York, Springer-Verlag, 605 p.
  • Robert C.P. and Casella G., 1999. Monte Carlo statistical methods. Springer texts in statistics, New York, Springer-Verlag, 420 p.
  • Royle J.A. and Dorazio R.M., 2008. Hierarchical Modeling and Inference in Ecology: the Analysis of Data from Populations, Metapopulations and Communities. Academic Press, New York, 445 p.
  • Schofield M.R.,Barker R.J. andTaylor P., 2013. Modelling individual specific fish length from capture-recapture data using the von Bertalanffy growth curve. Biometrics, 69, 1012–1021. [CrossRef] [MathSciNet] [PubMed]
  • Sigourney D.B., Munch S.B. and Letcher B.H., 2012. Combining a Bayesian nonparametric method with a hierarchical framework to estimate individual and temporal variation in growth. Ecol. Model., 247, 125–134. [CrossRef]
  • Vigliola L., Harmelin-Vivien M. and Meekan M.G., 2000. Comparison of techniques of back-calculation of growth and settlement marks from the otoliths of three species of diplodus from the Mediterranean Sea. Can. J. Fish. Aquat. Sci., 57, 1291–1299. [CrossRef]
  • Weatherley A.H. and Gill H.S., 1987. The biology of fish growth. Academic Press, London, 443 p.
  • Weisberg S.,Spangler G. andRichmond L.S., 2010. Mixed effects models for fish growth. Can. J. Fish. Aquat. Sci., 67, 269–277. [CrossRef]
  • Wilson J.A.,Vigliola L. andMeekan M.G., 2009. The back-calculation of size and growth from otolith: Validation and comparison of models at an individual level. J. Exp. Mar. Biol. Ecol., 368, 9-21. [CrossRef]
  • Zhang Z.Y., Hamagami F., Wang L.J., Nesselroade J.R. and Grimm K.J., 2007. Bayesian analysis of longitudinal data using growth curve models. Int. J. Behav. Dev., 31, 374–383. [CrossRef]
  • Zhang Z.Y., Lessard J. and Campbell A., 2009. Use of Bayesian hierarchical models to estimate northern abalone, Haliotis kamtschatkana, growth parameters from tag-recapture data. Fish. Res., 95, 289−295. [CrossRef]