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Diatom distribution in surface sediments from Chinese inshore waters and the relationship to modern environmental variables
  • ISSN号:0254-4059
  • 期刊名称:《中国海洋湖沼学报:英文版》
  • 时间:0
  • 分类:TP316[自动化与计算机技术—计算机软件与理论;自动化与计算机技术—计算机科学与技术] P343.3[天文地球—水文科学;天文地球—地球物理学]
  • 作者机构:[1]Key Lab of Submarine Geosciences and Prospecting Techniques, Ministry of Education, Ocean University of China, Qingdao 266100, China, [2]College of Marine Geosciences, Ocean University of China, Qingdao 266100, China, [3]Geology Laboratory of Marine and Coastal Environment, Third Institute of Oceanography, State Oceanic Administration, Xiamen 361005, China
  • 相关基金:Supported by the National Natural Science Foundation of China (No. 41306083), the Special Fund for Basic Work of Science and Technology from the Ministry of Science and Technology of China (No. 2009FY210400), and the Special Fund of the Third Institute of Oceanography, State Oceanic Administration for Basic Scientific Research Operations (No. HSK 2011028)
中文摘要:

Diatoms are widely used to study past and present changes in the marine environment. Unimodal models are appropriate for exploring the relationship between environmental properties in Chinese inshore waters and fossil diatom species derived from modern surface sediments. The best-fit relationships between two multivariate datasets(diatom species and environmental variables) were identified using canonical correspondence analysis(CCA), which is a constrained ordination technique. The absolute abundance of diatoms in the Chinese inshore waters ranged from 500 to 48 000 valves/g, and the average absolute abundance of all the 29 sites was 11 300 valves/g. 153 species and varieties of diatoms belonging to 42 genera in all were identified in the Chinese inshore waters. There were 28 dominant diatom species in all. According to the absolute abundance of the dominant species and the spatial distribution of the currents from the Chinese inshore waters, 12 diatom assemblages were distinguished from north to south, which refl ected the different oceanographic conditions at the regional scale. Of the eight environmental variables considered, the most important environmental variable is winter sea surface salinity(WSS), which was also the only environmental variable with statistical significance. Therefore, it may be used to establish a transfer functions for the Chinese inshore waters in future paleoclimate studies.

英文摘要:

Diatoms are widely used to study past and present changes in the marine environment. Unimodal models are appropriate for exploring the relationship between environmental properties in Chinese inshore waters and fossil diatom species derived from modem surface sediments. The best-fit relationships between two multivariate datasets (diatom species and environmental variables) were identified using canonical correspondence analysis (CCA), which is a constrained ordination technique. The absolute abundance of diatoms in the Chinese inshore waters ranged from 500 to 48 000 valves/g, and the average absolute abundance of all the 29 sites was l l 300 valves/g. 153 species and varieties of diatoms belonging to 42 genera in all were identified in the Chinese inshore waters. There were 28 dominant diatom species in all. According to the absolute abundance of the dominant species and the spatial distribution of the currents from the Chinese inshore waters, 12 diatom assemblages were distinguished from north to south, which reflected the different oceanographic conditions at the regional scale. Of the eight environmental variables considered, the most important environmental variable is winter sea surface salinity (WSS), which was also the only environmental variable with statistical significance. Therefore, it may be used to establish a transfer functions for the Chinese inshore waters in future paleoclimate studies.

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期刊信息
  • 《中国海洋湖沼学报:英文版》
  • 中国科技核心期刊
  • 主管单位:中国科学院 中国科协
  • 主办单位:中国海洋与湖沼学会
  • 主编:曾呈奎
  • 地址:中国青岛南海路7号
  • 邮编:266071
  • 邮箱:cjol@ms.qdio.ac.cn
  • 电话:0532-82898754
  • 国际标准刊号:ISSN:0254-4059
  • 国内统一刊号:ISSN:37-1150/P
  • 邮发代号:2-581
  • 获奖情况:
  • 第一、二届全国优秀科技期刊二等奖,中科院优秀期刊二等奖
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),英国农业与生物科学研究中心文摘,荷兰文摘与引文数据库,美国地质文献预评数据库,美国剑桥科学文摘,美国科学引文索引(扩展库),美国生物科学数据库,英国科学文摘数据库,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
  • 被引量:349