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利用卫星资料分析黄海海表温度的年际与年代际变化
  • ISSN号:1672-5174
  • 期刊名称:中国海洋大学学报(自然科学版)
  • 时间:0
  • 页码:19-25
  • 分类:S931.4[农业科学—渔业资源;农业科学—水产科学] TN302[电子电信—物理电子学]
  • 作者机构:[1]Key Laboratory of Physical Oceanography, Ocean University of China, Qingdao 266100, P. R. China, [2]College of Marine Science and Engineering, Tianjin UniversiO, of Science and Technology, Tianjin 300457, P. R. China, [3]Faculty of Fisheries Sciences, Hokkaido University, Hokkaido 060-0813, Japan
  • 相关基金:supported by the National Natural Science Foundation of China (Grant No. 40830854);the National Basic Research Program of China (Grant No.2011CB403606)
  • 相关项目:黄海动力过程对生物生产支持与调节机制的数值研究
中文摘要:

Anchovy (Engraulis japonicus), a small pelagic fish and food of other economic fishes, is a key species in the Yellow Sea ecosystem. Understanding the mechanisms of its recruitment and biomass variation is important for the prediction and management of fishery resources. Coupled with a hydrodynamic model (POM) and a lower trophic level ecosystem model (NEMURO), an individual-based model of anchovy is developed to study the influence of physical environment on anchovy’s biomass variation. Seasonal variations of circulation, water temperature and mix-layer depth from POM are used as external forcing for NEMURO and the anchovy model. Biomasses of large zooplankton and predatory zooplankton which anchovy feeds on are output from NEMURO and are controlled by the consumption of anchovy on them. Survival fitness theory related to temperature and food is used to determine the swimming action of anchovy in the model. The simulation results agree well with observations and elucidate the influence of temperature in over-wintering migration and food in feeding migration.

英文摘要:

Anchovy (Engraulis aponicus), a small pelagic fish and food of other economic fishes, is a key species in the Yellow Sea ecosystem. Understanding the mechanisms of its recruitment and biomass variation is important for the prediction and management of fishery resources. Coupled with a hydrodynamic model (POM) and a lower trophic level ecosystem model (NEMURO), an individual-based model of anchovy is developed to study the influence of physical environment on anchovy's biomass variation, Seasonal variations of circulation, water temperature and mix-layer depth from POM are used as external forcing for NEMURO and the anchovy model. Biomasses of large zooplankton and predatory zooplankton which anchovy feeds on are output from NEMURO and are controlled by the consumption of anchovy on them. Survival fitness theory related to temperature and food is used to determine the swimming action of anchovy in the model. The simulation results agree well with observations and elucidate the influence of temperature in over-wintering migration and food in feeding migration.

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期刊信息
  • 《中国海洋大学学报:自然科学版》
  • 北大核心期刊(2011版)
  • 主管单位:中华人民共和国教育部
  • 主办单位:中国海洋大学
  • 主编:管华诗
  • 地址:青岛市松岭路238号
  • 邮编:266100
  • 邮箱:xbzrb@ouc.edu.cn
  • 电话:0532-82032256
  • 国际标准刊号:ISSN:1672-5174
  • 国内统一刊号:ISSN:37-1414/P
  • 邮发代号:24-31
  • 获奖情况:
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),德国数学文摘,美国剑桥科学文摘,英国动物学记录,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版)
  • 被引量:11624