Performance of a fisheries catch-at-age model (Stock Synthesis) in data-limited situations

Marine and Freshwater Research

Volumn 62, Issue 8, 2011, Pages 927-936

  Wetzel, Chantell R ^a,b   Punt, André E ^b  

^a NORTHWEST FISHERIES SCIENCE CENTER   (United States)

^b UNIVERSITY OF WASHINGTON   (United States)

Author keywords

fisheries modelling; groundfish; US west coast

Indexed keywords

AGE STRUCTURE; BIOMASS; CATCH COMPOSITION; COASTAL ZONE; DATA SET; ESTIMATION METHOD; FISHERY MODELING; MORTALITY; PERFORMANCE ASSESSMENT; PROBABILITY; SPAWNING; STOCK ASSESSMENT;

PACIFIC COAST [NORTH AMERICA]; PACIFIC COAST [UNITED STATES]; UNITED STATES;

EID: 80052068585     PISSN: 13231650     EISSN: None     Source Type: Journal    
DOI: 10.1071/MF11006     Document Type: Article

References (21)

1. Butterworth, D. S., and Punt, A. E. (1999). Experience in the evaluation and implementation of management procedures. ICES Journal of Marine Science 56, 985-998. doi:10.1006/JMSC.1999.0532 (Pubitemid 30112670)
2. Chen, Y., Chen, L., and Stergiou, K. I. (2003). Impacts of data quantity on fisheries stock assessment. Aquatic Sciences 65, 92-98. doi:10.1007/ S000270300008 (Pubitemid 36391622)
3. Cope, J. M., and Punt, A. E. (2009). Length-based reference points for datalimited situations: applications and restrictions. Marine and Coastal Fisheries: Dynamics, Management, and Ecosystem Science 1, 169-186. doi:10.1577/C08-025.1
4. Fournier, D., and Archibald, C. P. (1982). A general theory for analyzing catch at age data. Canadian Journal of Fisheries and Aquatic Sciences 39, 1195-1207. doi:10.1139/F90-032
5. Hicks, A. C., Haltuch, M. A., and Wetzel, C. (2009). Status of greenstriped rockfish (Sebastes elongates) along the outer coast of California, Oregon, and Washington. Pacific Fishery Management Council. Portland, OR.
6. Magnusson, A., and Hilborn, R. (2007). What makes fisheries data informative? Fish and Fisheries 8, 337-358. doi:10.1111/J.1467-2979.2007.00258.X (Pubitemid 350125488)
7. Maunder, M. N., and Starr, P. J. (2001). Bayesian assessment of the SNA 1 snapper (Pagrus auratus) stock on the north-east coast of New Zealand. New Zealand Journal of Marine and Freshwater Research 35, 87-110. doi:10.1080/00288330.2001.9516980 (Pubitemid 32632569)
8. Methot, R. D. (2005). Technical description of the Stock Synthesis II assessment program. NOAA Technical Memorandum SEDAR 16-AW-04.
9. Methot, R. D. (2009). User Manual for Stock Synthesis. Model Version 3.02C. (NOAA Fisheries: Seattle, WA.)
10. Methot, R. D., and Taylor, I. G. (2011). Adjusting for bias due to variability of estimated recruitments in fishery assessment models. Can. J. Fish. Aquat. Sci., in press.
11. Punt, A. E., Smith, A. D. M., and Cui, G. (2002). Evaluation of management tools for Australias south-east fishery, 2. How well can management quantities be estimated? Marine and Freshwater Research 53, 631-644. doi:10.1071/MF01008 (Pubitemid 34829616)
12. 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., and 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 NMFS-F/SPO-31.
13. Shertzer, K. W., and Prager, M. H. (2007). Delay in fishery management: diminished yield, longer rebuilding, and increased probability of stock collapse. ICES Journal of Marine Science 64, 149-159. (Pubitemid 47083233)
14. Shono, H., Satoh, K., Okamoto, H., and Nishida, T. (2009). Updated stock assessment for bigeye tuna in the Indian Ocean up to 2008 using Stock Synthesis III (SS3). National Research Institute of Far Seas Fisheries, Shizuoka, Japan. IOTC-2009-WPTT-20.
15. Smith, A. D. M. (1993). Risks of over-and under-fishing new resources. Canadian Special Publication of Fisheries and Aquatic Sciences 120, 261-267.
16. Smith, A.D.M., Smith, D. C., Tuck, G.N., Klaer, N., Punt, A. E., Knuckey, I., Prince, J., Morison, A., Kloser, R., Haddon, M., Wayte, S., Day, J., Fay, G., Pribac, F., Fuller, M., Taylor, B., and Little, L. R. (2008). Experience in implementing harvest strategies in Australias south-eastern fisheries. Fisheries Research 94, 373-379. doi:10.1016/J.FISHRES.2008.06.006
17. Stewart, I. J., and Hamel, O. S. (2010). Stock assessment of Pacific hake, Merluccius productus (aka whiting) in US and Canadian waters in 2010. Pacific Fishery Management Council, Portland, OR.
18. Tuck, G. N. (Ed.) (2007). Stock assessment for the southern and eastern scalefish and shark fishery: 2006-2007. Australian Fisheries Management Authority and CSIRO Marine Atmospheric Research, Hobart.
19. US Office of the Federal Register (2009). Magnusson-Stevens Act provisions: national standard 1 -optimal yield. Federal Register 74: 11 (16 January 2009). pp. 3178-3213. Available at http://ecfr.gpoaccess.gov/[Accessed March 2009].
20. Welch, D. J., Garrett, R. N., and Gribble, N. A. (2005). Fisheries uncertainty: a tropical Australian data-poor fishery. In Fisheries Assessment and Management inData-limited Situations. (Eds G.H. Kruse, V. F.Gallucci, D. E. Hay, R. I. Perry, R. M. Peterman, T. C. Shirley, P. D. Spencer, B.Wilson andD.Woodby.) pp. 533-552. (University ofAlaska Fairbanks: Fairbanks, AK.)
21. Yin, Y., and Sampson, D. B. (2004). Bias and precision of estimates from an age-structured stock assessment program in relation to stock and data characteristics. North American Journal of Fisheries Management 24, 865-879. doi:10.1577/M03-107.1 (Pubitemid 39116005)