Spatial distribution and reconstruction potential of Japanese anchovy (Engraulis japonicus) based on scale deposition records in recent anaerobic sediment of the Yellow Sea and East China Sea

HUANG Jiansheng SUN Yao JIA Haibo YANG Qian TANG Qisheng

黄建生, 孙耀, 贾海波, 杨茜, 唐启升. 黄东海近代厌氧沉积物中鳀鱼鱼鳞沉积信息的空间分布及重建潜力[J]. 海洋学报英文版, 2014, 33(12): 138-144. doi: 10.1007/s13131-014-0573-8
引用本文: 黄建生, 孙耀, 贾海波, 杨茜, 唐启升. 黄东海近代厌氧沉积物中鳀鱼鱼鳞沉积信息的空间分布及重建潜力[J]. 海洋学报英文版, 2014, 33(12): 138-144. doi: 10.1007/s13131-014-0573-8
HUANG Jiansheng, SUN Yao, JIA Haibo, YANG Qian, TANG Qisheng. Spatial distribution and reconstruction potential of Japanese anchovy (Engraulis japonicus) based on scale deposition records in recent anaerobic sediment of the Yellow Sea and East China Sea[J]. Acta Oceanologica Sinica, 2014, 33(12): 138-144. doi: 10.1007/s13131-014-0573-8
Citation: HUANG Jiansheng, SUN Yao, JIA Haibo, YANG Qian, TANG Qisheng. Spatial distribution and reconstruction potential of Japanese anchovy (Engraulis japonicus) based on scale deposition records in recent anaerobic sediment of the Yellow Sea and East China Sea[J]. Acta Oceanologica Sinica, 2014, 33(12): 138-144. doi: 10.1007/s13131-014-0573-8

黄东海近代厌氧沉积物中鳀鱼鱼鳞沉积信息的空间分布及重建潜力

doi: 10.1007/s13131-014-0573-8
基金项目: The National Basic Research Program of China under contract Nos 2010CB428902 and 2006CB400007; the National Natural Science Foundation of China under contract No. 40876088.

Spatial distribution and reconstruction potential of Japanese anchovy (Engraulis japonicus) based on scale deposition records in recent anaerobic sediment of the Yellow Sea and East China Sea

  • 摘要: 以往的鱼类种群动态研究和管理措施,多数采用了被研究鱼类捕捞产量取代资源量的方法,两者之间不仅存在着巨大差异,而且时间尺度较短,种群自然波动、人为干预和全球气候变化引起的鱼类资源变化相互交织,难以理清引起鱼类种群变化的主导因素.已有研究表明,沉积物中完好保存的鱼鳞能够作为鱼类种群信息指标,更客观地追溯百年甚至千年尺度上的鱼类种群动态.本研究首次对东、黄海表层沉积物样品的鳀鱼鱼鳞沉积信息进行了调查,发现黄海中部作为鳀鱼的主要越冬场,其越冬群体基本能够反映东、黄海鳀鱼种群数量,对应的鱼鳞沉积量也最大.因此,采集黄海中部2个站位的柱状沉积样品进行分析,结果显示黄海中部的厌氧沉积环境有利于鱼鳞完整保存,2个站位之间的鱼鳞沉积率呈现显著的相关性.通过比较近代鱼鳞沉积率和鳀鱼资源量,进一步证实黄海中部厌氧沉积环境下的鳀鱼鱼鳞沉积信息可作为种群信息指标反演鳀鱼种群长期变化的潜力.本研究拟通过这种方法重建东、黄海陆架鳀鱼种群长期变化,并通过鳀鱼、栖息生态环境和全球气候变化之间的关联性分析,为将来探索鱼类种群变化的驱动机制提供一种更加有效的科学手段.
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  • 收稿日期:  2013-09-03
  • 修回日期:  2014-03-25

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