Quantifying age-reading error for use in fisheries stock assessments, with application to species in Australia's southern and eastern scalefish and shark fishery

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 65, Issue 9, 2008, Pages 1991-2005

  Punt, André E ^a,b   Smith, David C ^a   KrusicGolub, Kyne ^c   Robertson, Simon ^c  

^a UNIVERSITY OF WASHINGTON   (United States)

^b CSIRO   (Australia)

^c DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

AGE DETERMINATION; ERROR ANALYSIS; FISH; FISHERY MANAGEMENT; SHARK; STOCK ASSESSMENT;

ANIMALIA; CHONDRICHTHYES;

EID: 51849116011     PISSN: 0706652X     EISSN: None     Source Type: Journal    
DOI: 10.1139/F08-111     Document Type: Article

References (26)

1. Beamish, R.J., and Fournier, D.A. 1981. A method for comparing the precision of a set of age determinations. Can. J. Fish. Aquat. Sci. 38: 982-983. doi:10.1139/f81-132.
2. Bull, B., Francis, R.I.C.C., Dunn, A., McKenzie, A., Gilbert, D.J., and Smith, M.H. 2003. CASAL (C++ algorithmic stock assessment laboratory): CASAL user manual v2.01-2003/8/01. NIWA Tech. Rep. No. 124. NIWA, Private Bag 14901, Wellington, N.Z.
3. Burnham, K.P., and Anderson, D.R. 2002. Model selection and inference: a practical information-theoretic approach. 2nd ed. Springer-Verlag, New York.
4. Campana, S.E. 2001. Accuracy, precision and quality control in age determination, including a review of the use and abuse of age validation methods. J. Fish Biol. 59: 197-242. doi:10.1111/j.1095-8649.2001.tb00127. x.
5. Campana, S.E., Annand, M.C., and McMillan, J.I. 1995. Graphical and statistical methods for determing the consistency of age determinations. Trans. Am. Fish. Soc. 124: 131-138. doi:10.1577/1548-8659(1995)124〈0131: GASMFD〉2.3.CO;2.
6. Clark, W.G. 2004. Nonparametric estimates of age misclassification from paired readings. Can. J. Fish. Aquat. Sci. 61: 1881-1889. doi:10.1139/f04-122.
7. Fournier, D., and Archibald, C.P. 1982. A general theory for analyzing catch at age data. Can. J. Fish. Aquat. Sci. 39: 1195-1207. doi:10.1139/f82-157.
8. Francis, R.I.C.C., Paul, L.J., and Mulligan, K.P. 1992. Aging of adult snapper (Pagrus auratus) from otolith ring counts: validation by tagging and oxytetracycline injection. Aust. J. Mar. Freshw. Res. 43: 1069-1089. doi:10.1071/MF9921069.
9. Heifetz, J., Anderi, D., Maloney, N.E., and Rutecki, T.L. 1998. Age validation and analysis of ageing error from marked and recaptured sablefish, Anoplopama fimbria. Fish. Bull. (Washington, D.C.), 97: 256-263.
10. Hilborn, R., Maunder, M., Parma, A., Ernst, B., Payne, J., and Starr, P. 2003. Coleraine: a generalized age-structured stock assessment manual. User's manual version 2.0. SAFS-UW-0116, University of Washington, Seattle, Wash.
11. Kalish, J.M., Johnstone, J.M., Smith, D.C., Morison, A.K., and Robertson, S.G. 1997. Application of the bomb radiocarbon chronometer to the validation of blue grenadier Macruronus novaezelandiae. Mar. Biol. (Berl.), 128: 557-563. doi:10.1007/s002270050121.
12. Kimura, D.K., Lyons, J.J., MacLellan, S.E., and Geotz, B.J. 1992. Effects of year-class strength on age determination. Aust. J. Mar. Freshw. Res. 43: 1221-1228. doi:10.1071/MF9921221.
13. Methot, R.D. 2000. Technical description of the Stock Synthesis Assessment Program. NOAA Tech. Memo. NMFS-NWFSC-43, Seattle, Wash.
14. Methot, R. 2007. User manual for the integrated analysis program Stock Synthesis 2 (SS2). Model version 2.00c (updated 26 March 2007). Northwest Fisheries Science Center, NOAA, National Marine Fisheries Service, 2725 Montlake Blvd. E., Seattle, WA 98112, USA.
15. Morison, A.K., Robertson, S.G., and Smith, D.C. 1998. An integrated system for production fish ageing: image analysis and quality assurance. N. Am. J. Fish. Manag. 18: 587-598. doi:10.1577/1548-8675(1998)018〈0587: AISFPF〉2.0.CO;2.
16. Power, G.R., King, P.A., Kelly, C.J., McGrath, D., Mullins, E., and Gullaksen, O. 2006. Precision and bias in the age determination of blue whiting, Micromesistius poutassou (Risso, 1810), within and between age-readers. Fish. Res. 80: 312-321. doi:10.1016/j.fishres.2006.03.031.
17. Punt, A.E., and Smith, D.C. 2001. Assessments of species in the Australian south east fishery can be sensitive to the method used to convert from size- to age-composition data. Mar. Freshw. Res. 52: 683-690. doi:10.1071/MF99129.
18. Punt, A.E., Smith, D.C., Thomson, R.B., Haddon, M., He, X., and Lyle, J.M. 2001. Stock assessment of the blue grenadier Macruronus novaezelandiae resource off south-eastern Australia. Mar. Freshw. Res. 52: 701-717. doi:10.1071/MF99136.
19. Reeves, S.A. 2003. A simulation study of the implications of age-reading errors for stock assessment and management advice. ICES J. Mar. Sci. 60: 314-328. doi:10.1016/S1054-3139(03)00011-0.
20. Richards, L.J., Schnute, J.T., Kronlund, A.R., and Beamish, R.J. 1992. Statistical models for the analysis of ageing error. Can. J. Fish. Aquat. Sci. 49: 1801-1815. doi:10.1139/f92-200.
21. Schwarz, G. 1978. Estimating the dimension of a model. Ann. Statist. 6: 461-464. doi:10.1214/aos/1176344136.
22. Shepherd, J.G. 1999. Extended survivors analysis: an improved method for the analysis of catch-at-age data and abundance indices. ICES J. Mar. Sci. 56: 584-591. doi:10.1006/jmsc.1999.0498.
23. Smith, A.D.M., and Punt, A.E. 1998. Stock assessment of gemfish (Rexea solandri) in eastern Australia using maximum likelihood and Bayesian methods. In Fisheries stock assessment models. Edited by T.J. Quinn II, F. Funk, J. Heifetz, J.N. Ianelli, J.E. Powers, J.F. Schweigert, P.J. Sullivan, and C.I. Zhang. Alaska Sea Grant College Program, AK-SG-98-01, Juneau, Alaska. pp. 245-286.
24. Smith, D.C. 1994. Spotted warehou, Seriolella punctata. In The south east fishery. Edited by R.D.J. Tilzey. Bureau of Resource Sciences, Australian Government Publishing Service, Canberra, ACT, Australia. pp. 179-188.
25. Smith, D.C., Fenton, G.E., Robertson, S.G., and Short, S.A. 1995. Age determination and growth of orange roughy (Hoplostethus atlanticus): a comparison of annuli counts with radiometric ageing. Can. J. Fish. Aquat. Sci. 52: 391-401. doi:10.1139/f95-041.
26. Thomson, R., and He, X. 2001. Modelling the population dynamics of high priority SEF species. Final report to the Fisheries Research and Development Corporation. FRDC Project 1997/115, CSIRO Marine Research, Hobart, Tasmania, Australia.