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Numerical simulations in fisheries oceanography : with reference to NE Pacific and Bering Sea
  • Published Date:
    1983
Filetype[PDF - 9.65 MB]


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Numerical simulations in fisheries oceanography : with reference to NE Pacific and Bering Sea
Details:
  • Personal Authors:
  • Corporate Authors:
    Northwest and Alaska Fisheries Center (U.S.)
  • Series:
    NWAFC processed report ; 83-03
  • Document Type:
  • Description:
    Fisheries oceanography and numerical simulations are interdisciplinary subjects, the successful pursuit of which requires good familiarity with a variety of scientific subject matters. The main subject of fisheries oceanography is the study of the effects of environment on the abundance and availability of fishery resources. Numerical rendering is coherent analyses in space and time of scattered data. In the past many simple correlation studies between single environmental variables and catches and/or landings have been attempted. Most of these studies have been crowned with failure because no causal mechanisms were considered. Recently developed holistic ecosystem simulations have enhanced the studies of the effects of the environment on fishery resources. The sparsity of oceanographic observations from the NE Pacific and Bering Sea hinders the real-time application of fisheries oceanography in this region; however, some essential oceanographic conditions, such as surface currents and mixed layer depth could be analyzed from existing surface meteorological data. The data on fisheries are also deficient. The best fisheries data reflecting the stock abundance come from the more extensive resource surveys conducted after 1975. Also, these data must be interpreted with regard to changes in gear and catchability. The earlier reports on foreign catches are unreliable and present catches are regulated by quotas; thus, reflecting neither abundance nor availability. There is a need as well as possibilities for further studies of environment-fish interactions. Large holistic simulations which reproduce the ecosystem on the bases of available cause-effect knowledge can satisfy this need.