An analysis of error structure in modeling the stock-recruitment data of gadoid stocks using generalized linear models

Canadian Journal of Fisheries and Aquatic Sciences

Volumn 61, Issue 1, 2004, Pages 134-146

  Jiao, Yan ^a,c   Schneider, David ^a   Chen, Yong ^b   Wroblewski, Joe ^a  

^a MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

^b UNIVERSITY OF MAINE   (United States)

^c UNIVERSITY OF GUELPH   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ERROR ANALYSIS; FISHERY MODELING; GADOID FISHERY; RECRUITMENT; STOCK ASSESSMENT;

GADIFORMES;

EID: 2342442516     PISSN: 0706652X     EISSN: None     Source Type: Journal    
DOI: 10.1139/f03-148     Document Type: Article

References (28)

1. Armstrong, M.J., and Shelton, P.A. 1988. Bias in estimation of stock-recruit function parameters caused by nonrandom environmental variability. Can. J. Fish. Aquat. Sci. 45: 554-557.
2. Bajdik, C.D., and Schneider, D.C. 1991. Models of the fish yield from lakes: does the random component matter? Can. J. Fish. Aquat. Sci. 48: 619-622.
3. Brattey, J., Cadigan, N.G., Healey, B.P., Lilly, G.R., Murphy, E.F., Shelton, P.A., Stansbury, D.E., Morgan, M.J., and Mahé, J.-C. 2001. An assessment of the cod stock in NAFO subdivision 3Ps in October 2001. DFO CSAS Res. Doc. No. 2001/099.
4. Carroll, R.J., and Ruppert, D. 1984. Power transformations when fitting theoretical models to data. J. Am. Stat Assoc. 79: 321-328.
5. Charles, A. 2001. Sustainable fishery resources. Blackwell Science, Oxford, U.K.
6. Chen, Y., and Paloheimo, J.E. 1995. A robust regression analysis of recruitment in fisheries. Can. J. Fish. Aquat. Sci. 52: 993-1006.
7. Chen, Y., and Paloheimo, J.E. 1998. Can a more realistic model error structure improve the parameter estimation in modeling the dynamics of fish populations? Fish. Res. 38: 9-17.
8. Chen, Y., Jiao, Y., and Chen, L. 2003. Developing robust frequentist and Bayesian fish stock assessment methods. Fish Fish. (Oxf.), 4: 105-120.
9. Everitt, B.S., Landau, S., and Leese, M. 2001. Cluster analysis. Edward Arnold (Publishers) Ltd., London.
10. Fogarty, M.J. 1993. Recruitment distributions revised. Can. J. Fish. Aquat. Sci. 50: 2723-2728.
11. Hilborn, R., and Walters, C. 1992. Quantitative fisheries stock assessment: choice, dynamics, and uncertainty. Chapman and Hall Ltd., New York.
12. Hinrichsen, R.A. 2001. High variability in spawner-recruitment data hampers learning. Can. J. Fish. Aquat. Sci. 58: 769-776.
13. Iles, T.C. 1994. A review of stock-recruitment relationships with reference to flatfish populations. Neth. J. Sea Res. 32: 399-420.
14. Iles, T.C., and Beverton, R.J.H. 1998. Stock, recruitment and moderating processes in flatfish. J. Sea Res. 39: 41-55.
15. Jiao, Y., Chen, Y., Schneider, D., and Wroblewski, J. 2004. A simulation study of model error structure effect in modeling stock-recruitment relationship using generalized linear model. Can. J. Fish. Aquat. Sci. 61: 122-133.
16. Koster, F.W., Hinrichsen, H.-H., St. John, M.A., Schnack, D., MacKenzie, B.R., Tomkiewicz, J., and Plikshs, M. 2001. Developing Baltic cod recruitment models. II. Incorporation of environmental variability and species interaction. Can. J. Fish. Aquat. Sci. 58: 1534-1556.
17. Lilly, G.R., Shelton, P.A., Brattey, J., Cadigan, N.G., Healey, B.P., Murphy, E.F., and Stansbury, D.E. 2001. An assessment of the cod stock in NAFO divisions 2J+3KL. DFO Canadian Science Advisory Secretariat Res. Doc. No. 2001/044.
18. Lindsey, J.K. 1997. Applying generalized linear models. Springer-Verlag, New York.
19. McCullagh, P., and Nelder, J.A. 1989. Generalized linear models. 2nd ed. Chapman & Hall Ltd., London.
20. Myers, R.A., and Barrowman, N.J. 1996. Is fish recruitment related to spawner abundance? Fish. Bull. 94: 707-724.
21. Myers, R.A., Bridson, J., and Barrowman, N.J. 1995. Summary of worldwide spawner and recruitment data. Can. Tech. Rep. Fish. Aquat. Sci. No. 2024.
22. Myers, R.H., Montgomery, D.C., and Vining, G.G. 2001. Generalized linear models: with applications in engineering and the sciences. John Wiley and Sons, Inc., New York.
23. Power, M. 1996. The testing and selection of recruitment distributions from North Atlantic fish stocks. Fish. Res. 25: 77-95.
24. Quinn, T.J., and Deriso, R.B. 1999. Quantitative fish dynamics. Oxford University Press, New York.
25. Ricker, W.E. 1975. Computation and interpretation of biological statistics of fish populations. Bull. Fish. Res. Board Can. No. 191.
26. Schnute, J.T. 1991. The importance of noise in fish population models. Fish. Res. 11: 197-223.
27. Schnute, J.T., and Richards, L.J. 2001. Use and abuse of fishery models. Can. J. Fish. Aquat. Sci. 58: 10-17.
28. Shertzer, K., and Prager, M. 2002. Least median of squares: a suitable objective function for stock assessment models? Can. J. Fish. Aquat. Sci. 59: 1474-1481.