Welcome to the NOAA Institutional Repository | Proceedings of the Shrimp Yield Prediction Workshop : November 16-17, 1983, Texas A & M University at Galveston, Mitchell Campus, Galveston, Texas - :12386 | Sea Grant Publications
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Proceedings of the Shrimp Yield Prediction Workshop : November 16-17, 1983, Texas A & M University at Galveston, Mitchell Campus, Galveston, Texas
  • Published Date:
    1986
Filetype[PDF - 4.31 MB]


Details:
  • Corporate Authors:
    Texas A & M University, Sea Grant College Program, ; National Sea Grant Program (U.S.) ; American Institute of Fishery Research Biologists
  • Conference Authors:
    Shrimp Yield Prediction Workshop (1983 : Galveston, Tex.)
  • Description:
    "Shrimp stocks of the Gulf of Mexico represent an extremely valuable commodity whose management falls under the jurisdiction of state and federal fisheries agencies. The Shrimp Yield Prediction Workshop, sponsored by the American Institute of Fisheries Research Biologists, the Texas A&M University Sea Grant College Program and NOAA/National Marine Fisheries Service, traced the evolution of state and federal programs designed to manage shrimp resources. Management strategies and goals of various regulatory agencies' shrimp research programs were discussed. Of particular interest were the various methods used by these agencies to predict shrimp yield and to open and close shrimp seasons. Insight was gained into the significance of abundance and size data obtained by traditional sampling methods, correlations of life history trends and hydrological factors, census data gathered from the bait-shrimp fishery and density information acquired from new quantitative techniques as predictive tools for shrimp resource management. The workshop also assessed the state of the art of predicting shrimp yield and identified critical problems in rendering meaningful predictions"--Preface.

  • Document Type:
  • Funding:
    Funding: NOAA Office of Sea Grant; grant number: NA85AA-D-SG128;
  • Supporting Files:
    No Additional Files
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