• DocumentCode
    2901080
  • Title

    Fisheries Ecosystem Management Based on Optimization Algorithm

  • Author

    Sun, Lin ; Xiao, Hongjun ; Yang, Dequan ; Li, Shouju

  • Author_Institution
    Sch. of Manage., Dalian Univ. of Technol., Dalian, China
  • Volume
    3
  • fYear
    2009
  • fDate
    4-5 July 2009
  • Firstpage
    19
  • Lastpage
    22
  • Abstract
    The pressure on marine renewable resources has rapidly increased over past decades. The resulting scarcity has led to a variety of different control and surveillance instruments. The dynamics of fish stocks are an important consideration in determining appropriate fishery management policy. Equally crucial are the dynamics of fishing effort. A variety of growth curves have been applied to model both unpredated, intraspecific population dynamics and more general biological growth. Fishing effort dynamics are determined by the difference in profits and opportunity costs. Several management alternatives are evaluated at equilibrium. Performance variables such as equilibrium catch, social profits, consumer surplus, social benefits, direct fishery employment and income of individual crew are used in the evaluation.
  • Keywords
    aquaculture; environmental economics; optimisation; socio-economic effects; stock control; biological growth; consumer surplus; direct fishery employment; fish stocks; fisheries ecosystem management; fishery crew income; intraspecific population dynamics; marine renewable resources; optimization algorithm; social benefits; social profits; Aquaculture; Biological system modeling; Conference management; Costs; Ecosystems; Logistics; Marine animals; Marine technology; Protection; Technology management; equilibrium catch; fisheries ecosystem management; optimization algorithm; sustainable development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology, 2009. ESIAT 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-0-7695-3682-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2009.272
  • Filename
    5199627