Using simulation techniques to estimate management parameters on snake river steelhead: Declines in productivity make rebuilding difficult

North American Journal of Fisheries Management

Volumn 25, Issue 2, 2005, Pages 446-463

  Yuen, Henry ^a   Sharma, Rishi ^b  

^a US Fish and Wildlife Service   (United States)

^b Columbia River Inter Tribal Fish Commission ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FISHERY MANAGEMENT; POPULATION DYNAMICS;

NORTH AMERICA; SNAKE RIVER; UNITED STATES; WESTERN HEMISPHERE; WORLD;

ONCORHYNCHUS MYKISS; SALMONIDAE; SERPENTES;

EID: 20444479860     PISSN: 02755947     EISSN: None     Source Type: Journal    
DOI: 10.1577/M03-145.1     Document Type: Article

References (22)

1. Adkison, M. D., and R. M. Peterman. 1996. Results of Bayesian methods depend on details of implementation: an example of estimating salmon escapement goals. Fisheries Research 25:155-170.
2. Casella, G., and R. L. Berger. 1990. Statistical Inference. Duxbury Press, North Scituate, Massachusetts.
3. Deriso, R. B. 2001. Bayesian analysis of stock survival and recovery of spring and summer Chinook of the Snake River basin. Pages 137-156 in J. M Berksen, L. L. Kline, and D. J. Orth, editors. Incorporating uncertainty into fishery models. American Fisheries Society, Symposium 27, Bethesda, Maryland.
4. Hassemer, P. F., S. W. Kiefer, and C. E. Petrosky. 1997. Idaho's salmon: can we count every last one? Pages 113-125 in D. J. Stouder, P. A. Bisson, and R. J. Naiman, editors. 1997. Pacific salmon and their ecosystems: status and future options. Chapman and Hall, New York.
5. Hilborn, R. 1985. Simplified calculation of optimum spawning stock size from Ricker's stock-recruitment curve. Canadian Journal of Fisheries and Aquatic Sciences 42:1833-1834.
6. Hilborn, R., and M. Mangel. 1997. The ecological detective. Princeton University Press, Princeton, New Jersey.
7. Hilborn, R., T. P. Quinn, D. E. Schindler, and D. E. Rogers. 2003. Biocomplexity and fisheries sustainability. Proceedings of the National Academy of Sciences of the USA 100:6564-6568.
8. Hilborn, R., and C. Walters. 1992. Quantitative fisheries stock assessment: choice, dynamics, and uncertainty. Chapman and Hall, New York.
9. IDFG (Idaho Department of Fish and Game). 2001. 4(d) Rule Fisheries Management and Evaluation Plan (FMEP) for Snake River steelhead (Oncorhynchus mykiss) ESU. IDFG, Resident Fish Species Sport Fishing Program, Boise.
10. Kareiva, P., M. Marvier, and M. McClure. 2000. Recovery and management options for spring/summer Chinook salmon in the Columbia River basin. Science 290:977-979.
11. Marmorek, D. R., C. N. Peters, and I. Parnell, editors. 1998. Plan for analyzing and testing hypotheses (PATH): final report for fiscal year 1998. ESSA Technologies Ltd., Vancouver.
12. Mobrand, L. E., J. A. Lichatowich, L. C. Lestelle, and T. S. Vogel. 1997. An approach to describing ecosystem performance "through the eyes of salmon." Canadian Journal of Fisheries and Aquatic Sciences 54:2964-2973.
13. Moussalli, E., and R. Hilborn. 1986. Optimal stock size and harvest rate in multistage life history models. Canadian Journal of Fisheries and Aquatic Sciences 43:135-141.
14. Nickelson, T., and P. Lawson. 1998. Population viability of coho salmon, Oncorhynchus kisutch, in Oregon coastal basins: application of a habitat-based life cycle model. Canadian Journal of Fisheries and Aquatic Sciences 55:2383-2392.
15. Petrosky, C., H. Schaller, and P. Budy. 2001. Productivity and survival rate trends in the freshwater spawning and rearing stage of Snake River Chinook salmon (Oncorhynchus tshawytscha). Canadian Journal of Fisheries and Aquatic Sciences 58:1196-1207.
16. Phillips, J. L., J. Ory, and A. Talbot. 2000. Anadromous salmon recovery in the Umatilla River basin. Oregon: a case study. Journal of the American Water Resources Association 36:1287-1308.
17. Rubin, D. B. 1987. A noniterative sampling-importance resampling alternative to the data augmentation algorithm for creating a few imputations when fractions of missing information are modest: the SIR algorithm. Comment on "The calculation of posterior distributions by data augmentation," by M. A. Tanner and W. H. Wong. Journal of the American Statistical Association 82:543-546.
18. Schaller, H., C. Petrosky, and O. Langness. 1999. Contrasting patterns of productivity and survival rates for stream-type Chinook salmon (Oncorhynchus tshawytscha) populations of the Snake and Columbia rivers. Canadian Journal of Fisheries and Aquatic Sciences 56:1031-1045.
19. Sharma, R., A. B. Cooper, and R. Hilborn. 2005. A quantitative framework for the analysis of habitat and hatchery practices on Pacific salmon. Ecological Modelling 183(2-3):231-250.
20. TRT (Interior Columbia Basin Technical Recovery Team). 2003. Independent populations of Chinook, steelhead, and sockeye for listed evolutionarily significant units within the interior Columbia River domain. TRT, Working Draft July 2003 for the National Oceanic and Atmospheric Administration, Northwest Fisheries Science Center, Seattle.
21. Ward, B. 2000. Declivity in steelhead (Oncorhynchus mykiss) recruitment at the Keogh River over the past decade. Canadian Journal of Fisheries and Aquatic Sciences 57:298-306.
22. Wilson, P. H. 2003. Using population projection matrices to evaluate recovery strategies for Snake River spring and summer Chinook salmon. Conservation Biology 17:782-294.