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
Link To Document :
بازگشت