Better catch curves: Incorporating age-specific natural mortality and logistic selectivity

Transactions of the American Fisheries Society

Volumn 140, Issue 2, 2011, Pages 356-366

  Thorson, James T ^a   Prager, Michael H ^b  

^a UNIVERSITY OF WASHINGTON   (United States)

^b Prager Consulting   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CATCH STATISTICS; CLUPEOID FISHERY; LOGISTICS; MARICULTURE; MORTALITY; STOCK ASSESSMENT;

BREVOORTIA TYRANNUS;

EID: 84867860843     PISSN: 00028487     EISSN: 15488659     Source Type: Journal    
DOI: 10.1080/00028487.2011.557016     Document Type: Article

References (30)

1. Allen, G. R. 1985. Snappers of the world: an annotated and illustrated catalogue of lutjanid species known to date. FAO (Food and Agriculture Organization of the United Nations), Rome.
2. ASMFC (Atlantic States Marine Fisheries Commission). 2006. 2006 stock assessment report for Atlantic menhaden. ASMFC, Washington, D.C.
3. Brooks, E. N., J. E. Powers, and E. Cortes. 2010. Analytical reference points for age-structured models: application to data-poor fisheries. ICES (International Council for the Exploration of the Sea) Journal of Marine Science 67:165-175.
4. Chapman, D. G., and D. S. Robson. 1960. The analysis of a catch curve. Biometrics 16:354-368.
5. Dorn, M. W. 2002. Advice on West Coast rockfish harvest rates from Bayesian meta-analysis of stock-recruitment relationships. North American Journal of Fisheries Management 22:280-300.
6. FAO (Food and Agriculture Organization of the United Nations). 2009. Technical guidelines for responsible fisheries: information and knowledge sharing. FAO, Rome.
7. Froese, R., and D. Pauly, editors. 2009. FishBase, version 11/2009. Available: fishbase. org. (February 2010).
8. Garrison, L., and J. Link. 2003. An expanded multispecies virtual population approach (MSVPA-X) to evaluate predator-prey interactions in exploited fish ecosystems. ASMFC, Contract 02-0201, Washington, D.C.
9. Henry, K. A. 1971. Atlantic menhaden (Brevoortia tyrannus): resource and fishery-analysis of decline. NOAA Technical Report NMFS-SSRF-642.
10. Hoenig, J. M. 1983. Empirical use of longevity data to estimate mortality rates. U.S. National Marine Fisheries Service Fishery Bulletin 82:898-903.
11. Lorenzen, K. 1996. The relationship between body weight and natural mortality in juvenile and adult fish: a comparison of natural ecosystems and aquaculture. Journal of Fish Biology 49:627-647.
12. Lorenzen, K. 2000. Allometry of natural mortality as a basis for assessing optimal release size in fish-stocking programmes. Canadian Journal of Fisheries and Aquatic Sciences 57:2374-2381.
13. MacCall, A. C. 2009. Depletion-corrected average catch: a simple formula for estimating sustainable yields in data-poor situations. ICES (International Council for the Exploration of the Sea) Journal of Marine Science 66:2267-2271.
14. Maceina, M. J. 1997. Simple application of using residuals from catch-curve regressions to assess year-class strength in fish. Fisheries Research 32:115-121.
15. Methot, R. 2005. Technical description of the stock synthesis II assessment program, version 1.17. U.S. National Marine Fisheries Service, Seattle.
16. MSRA (Magnuson-Stevens Fishery Conservation and Management Reauthorization Act of 2006). 2006. U.S. Statutes at Large 120:3575-3686.
17. Pauly, D. 1978. A preliminary compilation of fish length growth parameters. Berichte aus dem Institut für Meereskunde an der Christian-Albrechts-Universität Kiel 55.
18. Pauly, D. 1984. Fish population dynamics in tropical waters: a manual for use with programmable calculators. ICLARM (International Center for Living Aquatic Resources Management), Manila, Philippines.
19. PFMC (Pacific Fishery Management Council). 2009. Terms of reference for the groundfish stock assessment and review process, 2009-2010. PFMC, Portland, Oregon.
20. Punt, A. E., and R. Hilborn. 1997. Fisheries stock assessment and decision analysis: the Bayesian approach. Reviews in Fish Biology and Fisheries 7:35-63.
21. Quinn, T. J., and R. B. Deriso. 1999. Quantitative fish dynamics. Oxford University Press, New York.
22. R Development Core Team. 2008. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available: Rproject. org. (October 2008).
23. Rudershausen, P. J., E. H. Williams, J. A. Buckel, and C. S. Manooch III. 2008. Comparison of reef fish catch per unit effort and total mortality between the 1970s and 2005-2006 in Onslow Bay, North Carolina. Transactions of the American Fisheries Society 137:1389-1405.
24. Schnute, J. T., and R. Haigh. 2007. Compositional analysis of catch curve data, with an application to Sebastes maliger. ICES (International Council for the Exploration of the Sea) Journal of Marine Science 64:218-233.
25. SEDAR (SouthAtlantic Fishery Management Council). 2007. Stock assessment model. SEDAR, SEDAR-15-AW01, Charleston, South Carolina.
26. Thorson, J. T., and C. A. Simpfendorfer. 2009. Gear selectivity and sample size effects on growth curve selection in shark age and growth studies. Fisheries Research (Amsterdam) 98:75-84.
27. Tuckey, T., N. Yochum, J. Hoenig, J. Lucy, and J. Cimino. 2007. Evaluating localized vs. large-scale management: the example of tautog in Virginia. Fisheries 32:21-28.
28. Wayte, S. E., and N. L. Klaer. 2010. An effective harvest strategy using improved catch curves. Fisheries Research (Amsterdam) 106:310-320.
29. Whitehead, P. J. P. 1985. Clupeoid fishes of the world (suborder Clupeioidei): an annotated and illustrated catalogue of the herrings, sardines, pilchards, sprats, shads, anchovies, and wolf-herrings, part 1. Chirocentridae, Clupeidae, and Pristigasteridae. FAO Fisheries Synopsis 125.
30. Wilberg, M. J., J. T. Thorson, B. C. Linton, and J. Berkson. 2010. Incorporating time-varying catchability into population dynamics and stock assessment models. Reviews in Fisheries Science 18:7-24.