文章摘要
陈新军,陆化杰,刘必林,钱卫国.利用栖息地指数预测西南大西洋阿根廷滑柔鱼渔场[J].上海海洋大学学报,2012,21(3):431-438
利用栖息地指数预测西南大西洋阿根廷滑柔鱼渔场
Forecasting fishing ground of Illex argentinus by using habitat suitability model in the southwest Atlantic
  
DOI:
中文关键词: 阿根廷滑柔鱼  栖息地模型  表温  叶绿素a  中心渔场  西南大西洋
英文关键词: Illex argentinus  habitat suitability model  sea surface temperature  chl.a  fishing ground  southwest Atlantic
基金项目:国家高技术研究发展计划(2007AA092201);国家发改委专项(2060403);上海市重点学科建设项目(S30702)
作者单位
陈新军 上海海洋大学 海洋科学学院 
陆化杰 上海海洋大学 海洋科学学院 
刘必林 上海海洋大学 海洋科学学院 
钱卫国 上海海洋大学 海洋科学学院 
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中文摘要:
      西南大西洋阿根廷滑柔鱼是我国鱿钓船船队重要的捕捞对象,准确预测中心渔场可以为科学地指导渔业生产提供依据。根据2000-2005年1-5月主渔汛期间我国鱿钓船队在西南大西洋海域的鱿钓生产数据,结合遥感获得的表温及叶绿素a数据,分别将作业次数百分比和单位渔船日产量作为适应性指数。利用算术平均法建立基于表温和叶绿素a因子的栖息地指数(HSI)模型。利用2005年1-5月生产数据及环境资料对HSI模型进行验证,分析认为作业渔场主要分布在HSI大于0.6海域,其作业次数比重达到76%以上,各月平均日产量均在7.2 t/d以上。研究表明,基于表温和叶绿素a的HSI模型能较好预测西南大西洋阿根廷滑柔鱼中心渔场,预报准确率在70%以上。
英文摘要:
      Illex argentinus is an important target species for Chinese squid jigging fleets in the southwest Atlantic,and the accurate forecasting of fishing ground can provide better scientific guidance for fishing activities. In this study, according to the Chinese squid fishing production data during the main fishing season (January to May) from 2000 to 2005, combined with sea surface temperature (SST) and chl.a accordingly, the percentage of fishing times and daily catch (CPUE) will be considered as the suitability index (SI). Using arithmetic mean model (AM) to establish the integrated habitat suitability index (HSI) based on SST and chl.a from 2000 to 2004, and the fishing and environmental data were used to test the established HSI model from January to May in 2005. The results indicated that AM model is fitted well. According to the data from January to May in 2005, we found that the main fishing ground is distributed in the waters with HSI more than 0.6 from the AM HSI model, and its percentage of fishing times reached more than 76 percent and its average CPUE were above 7.6 t/d. The results showed that the AM HSI model based on SST and chl.a can better predict the fishing grounds of squid in the southwest Atlantic and the accuracy rate of forecasting fishing ground reaches more than 70%.
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