Comparison of mean length at age and growth parameters of bluegills, largemouth bass, and yellow perch from length-stratified subsamples and samples in Michigan lakes

North American Journal of Fisheries Management

Volumn 25, Issue 4, 2005, Pages 1486-1492

  Nate, Nancy A ^a   Bremigan, Mary T ^b  

^a WISCONSIN DEPARTMENT OF NATURAL RESOURCES   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FISH; GROWTH; SAMPLING; SIZE AT MATURITY; VON BERTALANFFY EQUATION;

MICHIGAN; NORTH AMERICA; UNITED STATES;

LEPOMIS MACROCHIRUS; MICROPTERUS SALMOIDES; PERCA FLAVESCENS; PISCES;

EID: 30744477694     PISSN: 02755947     EISSN: None     Source Type: Journal    
DOI: 10.1577/M04-129.1     Document Type: Article

References (15)

1. Bettoli, P. W., and L. E. Miranda. 2001. Cautionary note about estimating mean length at age with subsampled data. North American Journal of Fisheries Management 21:425-428.
2. Chen, Y., D. A. Jackson, and H. H. Harvey. 1992. A comparison of von Bertalanffy and polynomial functions for modeling fish growth data. Canadian Journal of Fisheries and Aquatic Sciences 49:1228-1235.
3. Fridriksson, A. 1934. On the calculation of age distribution within a stock of cod by means of relatively few age determinations as a key to measurements on a large scale. Rapports et Procès-Verbaux des Réunions, Conseil International Pour l'Exploration de la Mer 86:1-14.
4. Gallucci, V. F., and T. J. Quinn II. 1979. Reparameterizing, fitting, and testing a simple growth model. Transactions of the American Fisheries Society 108:14-25.
5. Goodyear, C. P. 1995. Mean size at age: an evaluation of sampling strategies with simulated red grouper data. Transactions of the American Fisheries Society 124:746-755.
6. Haddon, M. 2001. Modeling and quantitative methods in fisheries. Chapman and Hall/CRC, Boca Raton, Florida.
7. Hayes, D., E. Baker, R. Bednarz, D. Borgeson, Jr., J. Braunschneidel, J. Breck, M. Bremigan, A. Harrington, R. Hay, R. Lockwood, A. Nuhfer, J. Schneider, P. Seelbach, J. Waybrant, and T. Zorn. 2003. Developing a standardized sampling program: the Michigan experience. Fisheries 28(7):18-25.
8. Ketchen, K. 1949. Stratified subsampling for determining age distributions. Transactions of the American Fisheries Society 79:205-212.
9. Kimura, D. K. 1977. Statistical assessment of the age-length key. Journal of the Fisheries Research Board of Canada 34:317-324.
10. Slipke, J. W., and M. J. Maceina. 2000. Fishery analysis and simulation tools (FAST). Auburn University, Auburn, Alabama.
11. Murphy, B. R., and D. W. Willis. 1996. Fisheries techniques. American Fisheries Society, Bethesda, Maryland.
12. Ricker, W. E. 1975. Computation and interpretation of biological statistics. Fisheries Research Board of Canada Bulletin 191.
13. Shuter, B. J., M. L. Jones, R. M. Korver, and N. P. Lester. 1998. A general, life-history-based model for regional management of fish stocks: the inland lake trout (Salvelinus namaycush) fisheries of Ontario. Canadian Journal of Fisheries and Aquatic Sciences 55:2161-2177.
14. Sokal, R. R., and F. J. Rohlf. 1995. Biometry. Freeman, New York.
15. Westrheim, S. J., and W. E. Ricker. 1978. Bias in using an age-length key to estimate age-frequency distributions. Journal of the Fisheries Research Board of Canada 35:184-189.