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南极普里兹湾沉积物中有机碳和总氮的含量与分布
  • ISSN号:0253-4193
  • 期刊名称:海洋学报(中文版)
  • 时间:0
  • 页码:-
  • 分类:P732[天文地球—海洋科学] P734.2[天文地球—海洋化学;天文地球—海洋科学]
  • 作者机构:[1]Second Institute of 0ceanography, State 0ceanic Administration S0A, Hangzhou 310012, P. R. China, [2]Key Laboratory of Marine Ecosystem and Biogeochemistry, SOA, Hangzhou 310012, P. R. China, [3]Institute of Ecology, Friedrich Schiller University, Jena D-07743, Germany, [4]Department of Geological Sciences, University of Florida, Gainesville FL 32611-2120, USA
  • 相关基金:This study was financially supported by the National Natural Science Foundation of China (NSFC) (40876104, 41306202, 41376193, 410761-34 and 41006118), the scientific research fund of Second Institute of Oceanography, SOA (JT1208 and JG1218), Chinese Arctic and Antarctic Administration Foundation (20110208), and the special fund for polar environment comprehensive investigation and assessment (CHINARE 2014-04-04, 2014-01-04 and 2014-04-01).
  • 相关项目:南极普里兹湾近现代海洋生产和碳沉积记录及其对全球气候变化的响应
中文摘要:

The study provides one of the first lines of evidence showing linkages between Antarctic phytoplankton abundance and composition in response to ENSO, based on historical reconstruction of sediment biomarkers. In addition to sediment biomarkers, field measured and remote sensing data of phytoplankton abundance were also recorded from Prydz Bay, Eastern Antarctica. Community structure of field measured phytoplankton showed significant El Nino/La Nina-related succession during 1990 to 2002. In general, the number of algae species decreased during El Nino and La Nina years compared to normal years. Austral summer monthly variation of remotely sensed chlorophyll-a(Chl-a), particulate organic carbon(POC), and sea surface temperature(SST) indicated that ENSO impacted the timing of phytoplankton blooms during 2007 to 2011. Phytoplankton blooms(indicated by Chl-a and POC) preceded the increases in SST during El Nino years, and lagged behind the SST increases during La Nina years. Stratigraphic record of marine sedimentary lipid(brassicasterol, dinosterol and alkenones) biomarkers inferred that the proportions of different algae(diatoms, dinoflagellates and haptophytes) changed significantly between El Nino and La Nina events. The relative proportion of diatoms increased, with that of dinoflagellates being decreased during El Nino years, while it was reversed during La Nina years.

英文摘要:

The study provides one of the first lines of evidence showing linkages between Antarctic phytoplankton abundance and composition in response to ENSO, based on historical reconstruction of sediment biomarkers. In addition to sediment biomarkers, field measured and remote sensing data of phytoplankton abundance were also recorded from Prydz Bay, Eastern Antarctica. Com-munity structure of field measured phytoplankton showed significant El Ni?o/La Ni?a-related succession during 1990 to 2002. In general, the number of algae species decreased during El Ni?o and La Ni?a years compared to normal years. Austral summer monthly variation of remotely sensed chlorophyll-a (Chl-a), particulate organic carbon (POC), and sea surface temperature (SST) indicated that ENSO impacted the timing of phytoplankton blooms during 2007 to 2011. Phytoplankton blooms (indicated by Chl-a and POC) preceded the increases in SST during El Ni?o years, and lagged behind the SST increases during La Ni?a years. Stratigraphic record of marine sedimentary lipid (brassicasterol, dinosterol and alkenones) biomarkers inferred that the proportions of different algae (diatoms, dinoflagellates and haptophytes) changed significantly between El Ni?o and La Ni?a events. The relative proportion of diatoms increased, with that of dinoflagellates being decreased during El Ni?o years, while it was reversed during La Ni?a years.

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期刊信息
  • 《海洋学报》
  • 北大核心期刊(2011版)
  • 主管单位:中国科学技术协会
  • 主办单位:中国海洋学会
  • 主编:陈大可
  • 地址:北京市海淀区大慧寺路8号
  • 邮编:100081
  • 邮箱:hyxbl@263.net
  • 电话:010-62179976
  • 国际标准刊号:ISSN:0253-4193
  • 国内统一刊号:ISSN:11-2055/P
  • 邮发代号:82-284
  • 获奖情况:
  • 国内外数据库收录:
  • 美国化学文摘(网络版),美国剑桥科学文摘,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(2004版),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),中国北大核心期刊(2000版)
  • 被引量:18197