The relative suitability of the von Bertalanffy, Gompertz and inverse logistic models for describing growth in blacklip abalone populations (Haliotis rubra) in Tasmania, Australia

Fisheries Research

Volumn 112, Issue 1-2, 2011, Pages 13-21

  Helidoniotis, Fay ^a,b   Haddon, Malcolm ^b   Tuck, Geoff ^b   Tarbath, David ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

^b CSIRO   (Australia)

Author keywords

Abalone growth; Gompertz; Information theory; Inverse logistic model; Von Bertalanffy

Indexed keywords

HALIOTIDAE; HALIOTIS RUBRA; INVERTEBRATA;

EID: 80053373793     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2011.08.005     Document Type: Article

References (32)

1. Buckland S.T., Burnham K.P., Augustin N.H. Model selection: an integral part of inference. Biometrics 1997, 53:603-618.
2. Burnham K.P., Anderson D.R. Model Selection and Multimodel Inference: A Practical Information-theoretic Approach 2002, Springer-Verlag, New York, NY.
3. Day R.W., Fleming A.E. The determinants and measurement of abalone growth. Abalone of the World: Biology, Fisheries and Culture 1992, 141-164. Blackwell, Oxford. S.A. Shepherd, M.J. Tegner, S.A. Guzmán del Próo (Eds.).
4. Day T., Taylor P.D. von Bertalanffy's growth equation should not be used to model age and size at maturity. Am. Nat. 1997, 149:381-393.
5. Eveson J.P., Polacheck T., Laslett G.M. Consequences of assuming an incorrect error structure in von Bertalanffy models: a simulation study. Can. J. Fish. Aquat. Sci. 2007, 64:602-617.
6. Fabens A.J. Properties and fitting of the von Bertalanffy growth curve. Growth 1965, 29:265-289.
7. Gilroy A., Edwards S.J. Optimum temperature for growth of Australian abalone: preferred temperature and critical thermal maximum for blacklip abalone, Haliotis rubra (Leach), and greenlip abalone, Haliotis laevigata (Leach). Aquat. Res. 1998, 29:481-485.
8. Haddon M., Mundy C., Tarbath D. Using an inverse-logistic model to describe growth increments of blacklip abalone (Haliotis rubra) in Tasmania. Fish. Bull. 2008, 106:58-71.
9. Hamilton G., McVinish R., Mengersen K. Using a Bayesian Net to aid in the Selection of Candidate Variables Society for Risk Analysis (SRA) 2007 2007, Australian & New Zealand Regional Organisation.
10. Jákupsstovu S.H., Haug T. Growth, sexual maturation, and spawning season of Atlantic halibut, Hippoglossus hippoglossus, in Faroese waters. Fish. Res. 1988, 6:201-215.
11. Katsanevakis S., Maravelias D. Modelling fish growth: multi model inference as a better alternative to a priori using von Bertalanffy equation. Fish Fish. 2008, 9:178-187.
12. Krebs C.J. Ecological Methodology 1989, Harper Collins, New York.
13. Lester N.P., Shuter B.J., Abrams P.A. Interpreting the von Bertalanffy model of somatic growth in fishes: the cost of reproduction. Proc. Roy. Soc. B: Biol. Sci. 2004, 271:1625-1631.
14. Ling S.D., Johnson C.R., Ridgway K., Hobday A.J., Haddon M. Climate-driven range extension of a sea urchin: inferring future trends by analysis of recent population dynamics. Global Change Biol. 2009, 15:719-731.
15. Nash W.J. An evaluation of egg-per-recruit analysis as a means of assessing size limits for blacklip abalone (Haliotis rubra) in Tasmania. Abalone of the World: Biology, Fisheries and Culture 1992, 318-340. Blackwell Scientific, Oxford. S.A. Shepherd, M.J. Tegner, S.A. Guzmán del Próo (Eds.).
16. Naylor J.R., Andrew N.L., Kim S.W. Demographic variation in the New Zealand abalone Haliotis iris. Mar. Freshw. Res. 2006, 57:215-224.
17. Pitcher T.J., Hart P.J.B. Fisheries Ecology 1982, Croom & Helm, London.
18. Prince J.D., Sellers T.L., Ford W.B., Talbot S.R. Experimental evidence for limited dispersal of Haliotid larvae (genus Haliotis: Mollusca: Gastropoda). J. Exp. Mar. Biol. Ecol. 1987, 106:243-263.
19. Prince J.D., Sellers T.L., Ford W.B., Talbot S.R. A method for ageing the abalone Haliotis rubra (Mollusca: Gastropoda). Aust. J. Mar. Freshw. Res. 1988, 39:167-175.
20. R Development Core Team R: A Language and Environment for Statistical Computing 2008, R Foundation for Statistical Computing, Vienna, Austria.
21. Ratkowsky D.A. Statistical properties of alternative parameterizations of the von Bertalanffy growth curve. Can. J. Fish. Aquat. Sci. 1986, 43.
22. Rogers-Bennett L., Rogers D., Schultz S.A. Modeling growth and mortality of red abalone (Haliotis rufescens) in northern California. J. Shell. Res. 2007, 26:719-727.
23. Sainsbury K.J. Effect of individual variability on the von Bertalanffy growth equation. Can. J. Fish. Aquat. Sci. 1980, 37:241-247.
24. Saunders T., Mayfield S. Predicting biological variation using a simple 'morphometric marker' in a sedentary marine invertebrate (Haliotis rubra). Mar. Ecol. Prog. Ser. 2008.
25. Shono H. Efficiency of the finite correction of Akaike's Information Criteria. Fish. Sci. 2000, 66:608-610.
26. Sorensen D., Gianola D. Likelihood, Bayesian, and MCMC Methods in Quantitative Genetics 2002, Springer-Verlag.
27. Starr, P.J., Breen, P.A., Kendrick, T.H., Haist, V., 2009. Model and data used for the 2008 assessment of rock lobsters (Jasus edwardsii) in CRA 3 200. NZ Fish. Assess. Rep., Ministry of Fisheries, Wellington.
28. Tarr R.J.Q. Growth and movement of the South African abalone Haliotis midae: a reassessment. Mar. Freshw. Res. 1995, 46:583-590.
29. Troynikov V.S. Probability density functions useful for parameterization of heterogeneity in growth and allometry data. Bull. Math. Biol. 1998, 60:1099-1122.
30. Troynikov V.S., Day R.W., Leorke A. Estimation of seasonal growth parameters using a stochastic Gompertz model for tagging data. J. Shell. Res. 1998, 17:833-838.
31. Wang Y.-G., Thomas M.R. Accounting for individual variability in the von Bertalanffy growth model. Can. J. Fish. Aquat. Sci. 1995, 52:1368-1375.
32. Worthington D.G., Andrew N.L., Hamer G. Covariation between growth and morphology suggests alternative size limits for the abalone, Haliotis rubra, in NSW, Australia. Fish. Bull. 1995, 93:551-561.