Gear selectivity and sample size effects on growth curve selection in shark age and growth studies

Fisheries Research

Volumn 98, Issue 1-3, 2009, Pages 75-84

  Thorson, James T ^a   Simpfendorfer, Colin A ^a  

^a CENTER FOR SHARK RESEARCH   (United States)

Author keywords

Akaike information criterion; Individual growth model; Length selective sampling; Model selection; Multi model estimation

Indexed keywords

CARCHARHINUS OBSCURUS; CHONDRICHTHYES; RHIZOPRIONODON TERRAENOVAE;

EID: 67349117076     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fishres.2009.03.016     Document Type: Article

References (26)

1. Burnham K.P., and Anderson D.R. Model Selection and Multi-model Inference: A Practical Information-theoretic Approach. third ed. (2002), Springer-Verlag, New York
2. Cailliet G.M., and Goldman K.J. Age determination and validation in chondrichthyan fishes. In: Carrier J.C., Musick J.A., and Heithaus M.R. (Eds). Biology of Sharks and Their Relatives (2004), CRC Press, Boca Raton, FL 399-448
3. Cailliet G.M., Smith W.D., Mollet H.F., and Goldman K.J. Age and growth studies of chondrichthyan fishes: the need for consistency in terminology, verification, validation and growth function fitting. Environ. Biol. Fish. 77 (2006) 211-228
4. Carlson J.K., and Baremore I.E. Changes in biological parameters of Atlantic sharpnose shark, Rhizoprionodon terraenovae, in the Gulf of Mexico: evidence for the density-dependent growth and maturity?. Mar. Freshwater Res. 54 (2003) 227-234
5. Carlson J.K., and Cortes E. Gillnet selectivity of the small coastal sharks off the southeastern United States. Fish. Res. 60 (2003) 405-414
6. Carlson J.K., and Goldman K.J. Age and Growth of Chondrichthyan Fishes: New Methods, Techniques and Analysis (2007), Springer-Verlag, New York, NY
7. Hoenig J.M. Empirical use of longevity data to estimate mortality rates. Fish. Bull. 82 (1983) 898-903
8. Katsanevakis S. Modelling fish growth: model section, multi-model inference and model selection uncertainty. Fish. Res. 81 (2006) 229-235
9. Katsanevakis S., and Maravelias C.D. Modelling fish growth: multi-model inference as a better alternative to a priori using von Bertalanffy equation. Fish Fish. 9 (2008) 178-187
10. Kirkwood G.P., and Walker T.I. Gill net mesh selectivity for gummy shark, Mustelus antarcticus gunther, taken in South-eastern Australian waters. Aust. J. Mar. Freshwater Res. 37 (1986) 689-697
11. Laslett G.M., Eveson J.P., and Polacheck T. A flexible maximum likelihood approach for fitting growth curves to tag-recapture data. Can. J. Fish. Aquat. Sci. 58 (2002) 976-986
12. McAuley R.B., Simpfendorfer C.A., and Wright I.W. Gilnet mesh selectivity of the sandbar shark (Carcharhinus plumbeus): implications for fisheries management. ICES J. Mar. Sci. 64 (2007) 1702-1709
13. Millar R.B. Estimating the size-selectivity of fishing gear by conditioning on the total catch. J. Am. Stat. Assoc. 87 (1992) 962-968
14. Pope, J.A., Margetts, A.R., Hamley, J.M., Akyuz, E.F., 1975. Manual of methods for fish stock assessment: part III, selectivity of fishing gear. Food and Agriculture Organization of the United Nations. FAO Fisheries Technical Paper, No. 41, revision 1.
15. Porch C.E., Wilson C.A., and Nieland D.L. A new growth model for red drum (Sciaenops ocellatus) that accommodates seasonal and ontogenic changes in growth rates. Fish. Bull. 100 1 (2002) 149-152
16. Pratt, H.L., Casey, J.G., 1990. Shark reproductive strategies as a limiting factor in directed fisheries, with a review of Holden's method of estimating growth-parameters. In: Pratt, H.L., Gruber, S.H., Taniuchi, T. (Eds.), Elasmobranchs as Living Resources: Advances in the Biology, Ecology, Systematics and the Status of the Fisheries. U.S. Dep. Comm., NOAA Tech. Rep., NMFS 90, pp. 97-109.
17. Punt A.E., Hobday D., Gerhard J., and Troynikov V.S. Modelling growth of rock lobsters, Janus edwardsii, off Victoria, Australia using models that allow for individual variation in growth parameters. Fish. Res. 82 (2006) 119-130
18. Quinn II T.J., and Deriso R.B. Quantitative Fish Dynamics (1999), Oxford University Press, New York, NY
19. R Development Core Team. R: A Language and Environment for Statistical Computing (2006), R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0 http://www.R-project.org
20. Ricker W.E. Effects of size-selective mortality and sampling bias on estimates of growth, mortality, production, and yield. J. Fish. Res. Board Can. 26 (1969) 479-541
21. Schnute J. A versatile growth model with statistically stable parameters. Can. J. Fish. Aquat. Sci. 38 (1981) 1128-1140
22. Simpfendorfer C.A., and Unsworth P. Gill-net mesh selectivity of dusky shark (Carcharhinus obscurus) and whiskery shark (Furgaleus macki) from south-western Australia. Mar. Freshwater Res. 49 (1998) 713-718
23. Simpfendorfer C.A., McAuley R.B., Chidlow J., and Unsworth P. Validated age and growth of the dusky shark, Carcharhinus obscurus, from Western Australian waters. Mar. Freshwater Res. 53 (2002) 567-573
24. Troynikov V.S. Use of Bayes theorem to correct size-specific sampling bias in growth data. Bull. Math. Biol. 61 (1999) 355-363
25. Walker T.I., Taylor B.L., Hudson R.J., and Cottier J.P. The phenomenon of apparent change of growth rate in gummy shark (Mustelus antarcticus) harvested off southern Australia. Fish. Res. 39 (1998) 139-163
26. Walters C.J., and Martell S.J.D. Fisheries Ecology and Management (2004), Princeton University Press, Princeton, NJ