ADVANCES IN POLAR SCIENCE ›› 2012, Vol. 24 ›› Issue (4): 352-360.DOI: 10.3724/SP.J.1084.2012.00352

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THE ABUNDANCE INDEX OF ANTARCTIC KRILL AND ITS RELATIONSHIP TO SEA ICE AND SEA SURFACE TEMPERATURE

Dai Lifeng1,2,3, Zhang Shengmao2,3, Fan Wei2,3   

  1.  
    1College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, China;
    2Key Laboratory of Fisheries Resources Remote Sensing and Information Technology, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China;
    3Key Laboratory of East China Sea and Oceanic Fishery Resources Exploitation, Ministry of Agriculture, China, East China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Shanghai 200090, China
  • Received:2012-05-10 Revised:2012-06-18 Online:2012-12-30 Published:2012-12-30

Abstract: According to Antarctic krill catch data from 1997 to 2010 in Area 48.2 and sea ice and SST data, this paper analyzed the spatio-temporal distribution of krill catch and discussed the influence of sea ice and SST on abundance of Antarctic krill. The results show that annual krill catch in Area 48.2 dominatingly came from March to July, and mainly fishing time was from February to August, and the production during this period accounting for about 99.3% of the annual catch. Regression analysis shows that CPUE of Antarctic krill had obvious relations with the area of sea ice and SST. CPUE was negatively related with the total area of sea ice among years (R=0.80), and the correlation is maximum (R=0.84) with the area of sea ice where concentrations were between 90% and 100%; they had a second polynomial regression model among months, and CPUE increased firstly then decreased with the increasing of the area of sea ice, and the correlation is maximum (R=0.94) with the area of sea ice where concentrations were between 60% and 70%. The negative correlation among years was unremarkable between CPUE and the area of SST where the values were between -2℃ and 3℃(R=0.46), but CPUE had significant negative correlation with the area of SST where the values were between 1℃ and 2℃ (R=0.91); they also had a second polynomial regression model among months, and CPUE increased firstly then decreased with the increasing of the area of SST, and the correlation is maximum (R=0.97) with the area of sea ice where concentrations were between 0℃ and 1℃.

Key words: Antarctic krill, CPUE, Sea ice, SST, Regression model