| R-02-05 | Developing a Bayesian Stock Assessment Framework for the American Lobster (Homarus americanus) | ||
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Dr. Yong Chen Dr. Carl Wilson While the American lobster supports Maine's most valuable commercial fishery, the lack of industry support for current stock assessments creates friction between scientists, industry, and managers. To provide a more realistic approach to assessing the lobster fishery, this study will develop a Bayesian stock assessment framework, develop length-based stock assessment models to capture the population dynamics of the lobster, and conduct a simulation study to evaluate the performance of the models and statistical approaches. Project Period: 2/1/02 – 01/31/04 |
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Associated PublicationsChen, Y., S. Sherman, C. Wilson, J. Sowles, and *Minoru Kanaiwa, 2006, A comparison of two fishery-independent survey programs used to define the population structure of American lobster, Homarus americanus, in the Gulf of Maine, Fishery Bulletin, 104:247-255. Chen, Y., *M. Kanaiwa, and C. Wilson, 2005, Developing and Evaluating a Size-structured Stock Assessment Model for the American Lobster, Homarus americanus, fishery, New Zealand Journal of Freshwater and Marine Sciences, 39: 645-660 (Special issue on Lobster Biology and Management). Scherier, K., Y. Chen, and C. Wilson, 2004, A comparative study of American lobster fishery sea and port sampling programs in Maine: 1998-2000, Fisheries Research, 68:343-350. Chen, Y., Y. Jiao, and L. Chen, 2003, Developing robust frequentist and Bayesian fish stock assessment methods, Fish and Fisheries, 4:105-120. Chen, Y., L. Chen, and K. Stergiou, 2003, Impacts of data quantity on fisheries stock assessment. Aquatic Sciences, 65:92-98. Kevin Scheirer, 2003, Analysis of the spatial dynamics of the American lobster fishery along the coast of Maine, M.S. in Marine Policy, University of Maine, Orono Chen, Y. and C. Wilson, 2002, Simulation Study to Evaluate Impacts of Uncertainty on the Assessment of American Lobster Fishery in the Gulf of Maine, Canadian Journal of Fisheries and Aquatic Sciences, 59: 1394-1403. For a full list of publications associated with research projects, please visit our Journal Repints page. |
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