极地研究

极地研究 ›› 2012, Vol. 24 ›› Issue (4): 352-360.DOI: 10.3724/SP.J.1084.2012.00352

• 研究论文 • 上一篇    下一篇

南极磷虾资源丰度及其与海冰和表温的关系

戴立峰1,2,3  张胜茂2,3  樊伟2,3   

  1.  
    1上海海洋大学，海洋科学学院, 上海 201306；
    2中国水产科学研究院东海水产研究所，渔业资源遥感信息技术重点开放实验室, 上海 200090；
    3中国水产科学研究院东海水产研究所，农业部东海与远洋渔业资源开发利用重点实验室, 上海 200090
  • 收稿日期:2012-05-10 修回日期:2012-06-18 出版日期:2012-12-30 发布日期:2012-12-30
  • 通讯作者: 樊伟
  • 基金资助:

    中央级公益性科研院所基本科研业务费专项;南极海洋生物资源开发利用;公益性行业（农业）科研专项;南北极环境综合考察与评估

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

PDF (PC)

1394

摘要： 根据2003—2010年南极磷虾48.2区产量数据结合该区域海冰和SST数据，分析了磷虾产量的时空分布，探讨了海冰和SST对南极磷虾资源丰度的影响。结果表明，48.2区的渔汛期为3—7月，主要作业时间为2—8月，产量约占该渔区年产量的99.3%。回归分析表明，磷虾CPUE变动与海冰和SST面积变化关系明显。磷虾CPUE与海冰总面积年间变化呈现显著的负相关(R=0.80)，与海冰密集度为90%—100%的海冰面积负相关系数最大(R=0.84)；年内变化关系则为一元二次多项式回归模型，CPUE随海冰面积的递增先增大后减小，与海冰密集度为60%—70%的海冰面积相关系数最大(R=0.94)。磷虾CPUE与SST为-2—3℃时的总面积年间变化负相关性不显著(R=0.46)，但与SST为1—2℃时的面积呈现显著的负相关(R=0.91)；年内变化关系也为一元二次多项式回归模型，CPUE随SST面积的递增先增大后减小，与SST为0—1℃时的面积相关系数最大(R=0.97)。

关键词: 南极磷虾, CPUE, 海冰, 海表面温度, 回归模型

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