A dynamical approach to evaluate risk in resource management

Ecological Applications

Volumn 16, Issue 3, 2006, Pages 1238-1248

  Hatton, I A ^a   McCann, K S ^b   Umbanhowar, J ^b   Rasmussen, J B ^c  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITY OF GUELPH   (Canada)

^c UNIVERSITY OF LETHBRIDGE   (Canada)

Author keywords

Decision analysis; Population dynamics; Resource management; Risk levels; Surplus production

Indexed keywords

DECISION ANALYSIS; NATURAL RESOURCE; POPULATION DYNAMICS; RESOURCE MANAGEMENT; RISK ASSESSMENT; TIME SERIES;

ARTICLE; ECOLOGY; ORGANIZATION; RISK ASSESSMENT;

DECISION MAKING, ORGANIZATIONAL; ECOLOGY; RISK ASSESSMENT;

EID: 33745990787     PISSN: 10510761     EISSN: 10510761     Source Type: Journal    
DOI: 10.1890/1051-0761(2006)016[1238:ADATER]2.0.CO;2     Document Type: Article

References (28)

1. Benoît, H. P., and P. Pepin. 1999. Interaction of rearing temperature and maternal influence on egg development rates and larval size at hatch in yellowtail flounder (Pleuronectes ferrugineus). Canadian Journal of Fisheries and Aquatic Sciences 56:785-794.
2. Brodziak, J. K. T., W. J. Overholtz, and P. J. Rago. 2001. Does spawning stock affect recruitment of New England groundfish? Canadian Journal of Fisheries and Aquatic Sciences 58:306-318.
3. Burnham, K. P., and D. R. Anderson. 1998. Model selection and inference. Springer-Verlag, New York, New York, USA.
4. Dennis, B. 1989. Allee effects: population growth, critical density and the chance of extinction. Natural Resource Modeling 3:481-538.
5. de Valpine, P. 2002. Review of methods for fitting time-series models with process and observation error and likelihood calculations for nonlinear, non-Gaussian state-space models. Bulletin of Marine Science 70(2):455-471.
6. DFO [Department of Fisheries and Oceans]. 2003. Yellowtail flounder in the Southern Gulf of St. Lawrence. DFO Science Stock Status Report 2003/002. Canadian Science Advisory Secretariat, Ottawa, Ontario, Canada.
7. Dixon, P., and A. M. Ellison, editors. 1996. Special Issue. Ecological applications of Bayesian inference. Ecological Applications 6:1034-1123.
8. FAO [Food and Agricultural Organisation of the United Nations]. 1995. Precautionary approach to fisheries. Part 1. Guidelines on the precautionary approach to capture fisheries and species introductions. FAO Fisheries Technical Paper Number 350. Part 1. United Nations Food and Agricultural Organisation, Rome, Italy.
9. Fletcher, R. I. 1978. On the restructuring of the Pella-Tomlinson system. Fisheries Bulletin 76:515-521.
10. Francis, R. I. C. C., and R. Shotton. 1997. "Risk" in fisheries management: a review. Canadian Journal of Fisheries and Aquatic Sciences 54:1699-1715.
11. Fussman, G. F., S. P. Ellner, K. W. Shertzer, and N. G. Hairston, Jr.. 2000. Crossing the Hopf bifurcation in a live predator-prey system. Science 290:1358-1360.
12. Gause, G. F. 1934. The struggle for existence. Williams and Wilkins, Baltimore, Maryland, USA. [Reprinted in 1964 by Hafner Publishing Company, New York, New York, USA.]
13. Hilborn, R., and C. J. Walters. 1992. Quantitative fisheries stock assessment: choice, dynamics, and uncertainty. Chapman and Hall, New York, New York, USA.
14. International Whaling Commission. 1993. Specification of the North Atlantic minke whaling trials. Report of the International Whaling Commission 43:189-196.
15. May, R. M., J. R. Beddington, C. W. Clark, S. J. Holt, and R. M. Laws. 1979. Management of multispecies fisheries. Science. 205:267-277.
16. McAllister, M. K., and G. P. Kirkwood. 1998. Using Bayesian decision analysis to help achieve a precautionary approach for managing developing fisheries. Canadian Journal of Fisheries and Aquatic Sciences 55:2642-2661.
17. Microsoft. 1994. Excel. Microsoft, Redmond, Washington, USA.
18. Pascual, M. A., and P. Kareiva. 1996. Predicting the outcome of competition using experimental data: maximum likelihood and Bayesian approaches. Ecology 77:337-349.
19. Pella, J. J., and P. K. Tomlinson. 1969. A generalized stock production model. Inter-American Tropical Tuna Commission Bulletin 13:419-496.
20. Punt, A. E., and R. Hilborn. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Reviews in Fish Biology and Fisheries 7:1-29.
21. Ricker, W. E. 1954. Stock and recruitment. Journal of the Fisheries Research Board of Canada 11:559-623.
22. Rosenzweig, M. P., and R. H. MacArthur. 1969. Graphic representation and stability conditions of predator-prey interaction. American Naturalist 97:209-223.
23. Roughgarden, J. 1998. How to manage fisheries. Ecological Applications 8(1) (Supplement):S160-S164.
24. Schaefer, M. B. 1954. Some aspects of the dynamics of populations important to the management of commercial marine fisheries. Inter-American Tropical Tuna Commission Bulletin 1:25-56.
25. Schnute, J. T., A. Cass, and L. J. Richards. 2000. A Bayesian decision analysis to set escapement goals for Fraser River sockeye salmon (Oncorhynchus nerka). Canadian Journal of Fisheries and Aquatic Sciences 57:962-979.
26. Stone, H. H. 2002. Stock assessment of Georges Bank (5Zjmnh) yellowtail flounder for 2002. Research Document 2002/057. Canadian Science Advisory Secretariat, Ottawa, Ontario, Canada.
27. Walters, C. J., and R. Hilborn. 1976. Adaptive control of fishing systems. Journal of the Fisheries Research Board of Canada 33:145-159.
28. Walters, C. J., and J. F. Kitchell. 2001. Cultivation/depensation effects on juvenile survival and recruitment: implications for the theory of fishing. Canadian Journal of Fisheries and Aquatic Sciences 58:39-50.