Conservative fit of the Schaefer model for a multispecies fishery

Fisheries Research

Volumn 41, Issue 2, 1999, Pages 155-168

  Ould Dedah, S ^a   Condrey, R E ^b   Shaw, R F ^b  

^a Ctr Natl Rech Oceanographiques P   (Mauritania)

^b LOUISIANA STATE UNIVERSITY   (United States)

Author keywords

Mauritania; Multispecies fishery; Multivariate regression; Northwest Africa; Schaefer model

Indexed keywords

FISHERY; FISHERY MANAGEMENT; MODEL; OVERFISHING;

EID: 0345085506     PISSN: 01657836     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0165-7836(99)00003-X     Document Type: Article

References (32)

1. Anderson, T.W., 1984. An Introduction to Multivariate Statistical Analysis, 2nd ed. Wiley, New York, 675 pp.
2. Beverton, R.J.H., Holt, S.J., 1957. On the Dynamics of Exploited Fish Populations. Fisheries Investment Series 2, vol. 19, UK Ministry of Agriculture and Fisheries, London, 533 pp.
3. Caddy, J.F., Mahon, R., 1995. Reference points for fisheries management. FAO Fisheries Technical Paper. 347, Rome, FAO, 83 pp.
4. Casella, G., Berger, R.L., 1992. Statistical Inference. Wadsworth and Brooks/Cole Advanced Books and Software, Pacific Grove, California, 650 pp.
5. Chavance, P., Girardin, M. (Eds.), 1991. L'environnement, les ressources et les pêcheries de la ZEE mauritanienne. Centr. Nat. Rech. Océanogr. et Pêches, Nouadhibou, 227 pp.
6. Clark, C., 1985. Bioeconomic Modelling and Fisheries Management. Wiley, New York, 291 pp.
7. Cox, D.R., Wermuth, N., 1996. Multivariate Dependencies: Models, Analysis and Interpretation. Chapman and Hall, London, 255 pp.
8. Csirke, J., 1988. Small shoaling pelagic stocks. In: Gulland, J.A. (Ed.), Fish Population Dyanamics: The Implications for Management, 2nd ed. Wiley/Interscience, New York, pp. 271-302.
9. FAO, 1978. Some scientific problems of multispecies fisheries. Report of the expert consultation on management of multispecies fisheries, Rome, 20-23 September 1977. FAO Fish. Tech. Pap., 181, 42 pp.
10. eme Groupe de travail CNROP, Nouadhibou, Mauritanie, 20 au 26 Novembre 1993. COPACE/PACE Séries 95/60, FAO, Rome, 114 pp.
11. Hilborn, R., Walters, C.J., 1992. Quantitative Fisheries Stock Assessment. Choice, Dynamics and Uncertainty. Chapman and Hall, New York, 570 pp.
12. Johnson, R.A., Wichern, D.W., 1992. Applied Multivariate Statistical Analysis, 3rd ed. Prentice-Hall, Englewood Cliffs, NJ, 642 pp.
13. e Groupe de travail CNROP/FAO/ORSTOM, Nouadhibou, Mauritanie, 12-22 Novembre 1988. Rome, FAO, COPACE/PACE Séries 89/48, 237 pp.
14. Myers, R.H., 1986. Classical and Modern Regression with Applications. Duxbury Press, Boston 459 pp.
15. Ould Dedah, S., 1995. Modelling a multispecies schooling fishery in an upwelling environment, Mauritania, West Africa. Ph.D. Disssertation, Louisiana State University, Baton Rouge, USA, 178 pp.
16. Ould Soueilem, M.M., 1992. Contribution to the study of the pelagic fishery in the Mauritanian 200 mile EEZ (description, stock assessment, by-catch, and management). M.S. Thesis, University of Washington, Seattle, 113 pp.
17. Parrish, R.H., MacCall, A.D., 1978. Climatic variation and exploitation in the Pacific mackerel fishery. California Department of Fish and Game Fish Bulletin, 167.
18. Pauly, D., 1979. Theory and management of tropical multispecies stocks: a review, with emphasis on the Southeast Asia demersal fisheries. ICLARM Stud. Rev., vol. 1, 35 pp.
19. Pella, J.J., 1967. A study of methods to estimate the Schaefer model parameters with special reference to the yellowfin tuna in the eastern tropical Pacific ocean. Ph.D. Dissertation, University of Washington, Seattle.
20. Pope, J., 1979. Stock assessment in multispecies fisheries, with reference to the trawl fishery in the Gulf of Thailand. South China Sea Fish. Develop. Con. Programme, SCS/DEV/79/19: 106 pp.
21. Prager M.H. A suite of extensions to a nonequilibrium surplus production model. Fish. Bull. (US). 92:1994;374-389.
22. Prager M.H., MacCall A.D. Detection of contaminant and climate effects on spawning success of three pelagic fish stocks off southern California. Can. J. Fish. Aquat. Sci. 45:1993;539-547.
23. Restrepo, V.R., Thompson, G.G., Mace, P.M., Gabriel, W.L., Low, L.L., MacCall, A.D., Methot, R.D., Powers, J.E., Taylor, B.L., Wade, P.R., Witzig, J.F., 1998. Technical guidance on the use of precautionary approaches to implementing national standard 1 of the Magnuson-Stevens fishery conservation and management act. NOAA Technical Memorandum, National Marine Fisheries Services: 54 pp.
24. Ricker W.E. Computation and interpretation of biological statistics of fish populations. J. Fish. Res. Board Can. 191:1975.
25. Roy, C., 1990. Réponses des stocks de poissons pélagiques à la dynamique des upwellings en Afrique de l'Ouest: Analyses et modélisation. Thèse de Doctorat, Université de Bretagne Occidentale, Fac. des Sc., 147 pp+appendix.
26. SAS Institute Inc. SAS/STAT, SAS/ETS 1995. User's Guide, Release 6.03 ed. Cary, NC: SAS Institute Inc.
27. Saville, A., 1980. The assessment and management of pelagic fish stocks. A symposium held in Aberdeen, 3-7 July 1978. Rapp. P.-v. Réun. Cons. Int. Explor. Mer, vol. 177, 517 pp.
28. Schaefer M.B. Some aspects of the dynamics of populations important to the management of the commercial marine fisheries. Int. Am. Trop. Tuna Comm. Bull. 1:1954;25-26.
29. Schnute J. Improved estimates from the Schaefer production model: theoretical considerations. J. Fish. Res. Board Can. 34(5):1977;583-603.
30. Seber, G.A.F., 1982. The Estimation of Population Abundance and Related Parameters, 2nd ed. Griffin, London, 654 pp.
31. Srivastava, V.K., Giles, D.E.A., 1987. Seemingly Unrelated Regression Equations Models: Estimation and Inference Statistics: Textbooks and Monographs, vol. 80., 374 pp.
32. Zellner A. An efficient method of estimating seemingly unrelated regression equations and tests for aggregation bias. J. Am. Stat. Assoc. 57:1962;348-368.