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Spatial-temporal and environmental effects of catch rate on Antarctic krill fishery in the South Georgia Island in the austral winter season based on the fine scale data.

ZHU Guo-ping1,2,3, LIU Zi-jun1, XU Guo-dong4, ZHANG Ji-chang5, MENG Tao1, HUANG Hong-liang4, XU Yi-ying1, ZHU Xiao-yan1, XU Liu-xiong1,2,3   

  1. (1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China; 2National Distantwater Fishery E〖JP2〗ngineering Research Center, Shanghai 201306, China; 3Ministry of Education Key Laboratory of Sustainable Exploitation of Oceanic Fishery Resources, Shanghai Ocean University, Shanghai 201306, China; 4Ministry of Agriculture Key and Open Laboratory of Marine and Estuarine Fishery, East China Sea Fishery Research Institute, Chinese Academy of Fishery Science, Shanghai 200090, China; 5Fishery Resource Division, Yellow Sea Fishery Research Institute, Chinese Academy of Fishery Science, Qingdao 266071, Shandong, China)
  • Online:2014-08-18 Published:2014-08-18

Abstract: The waters around the South Georgia Island is one of the main fishing ground of Antarctic krill fishery and many predators such as sea seal and whale inhabited this island target Antarctic krill as a food source. So it is very important for further understanding Antarctic ecosystem to conduct the research on abundance fluctuation of Antarctic krill resource around this island. Consequently, based on the fine scale fishery data collected in the winter 2013, using the generalized additive model (GAM), the present study analyzed the relationship between environmental factors and the catch rate of Antarctic krill. The results showed the model could explain 32.0% of the accumulation of deviance of the catch rate. The variable that provided the maximum contribution was tenday with a contribution rate of 21.4% and followed by the latitude (4.4%). Generally, the catch rate decreased from the first 10 days of July to September. Higher catch rates occurred in the eastern fishing ground, particularly the centraleastern part of survey area, and lower catch rates presented in the northern part. The mean catch rate deceased with the increasing change rate of bathymetry. The oceanographic condition with wind scale below  4 was suitable for fishing operation and associated with the higher catch rate, but the wind direction did not significantly affect the catch rate. The mean catch rate increased with the increasing sea surface temperature  within 0.5 to 2.0 ℃.