文献类型： 外文期刊

作者： Yang, Qian ¹ ; Qu, Keming ¹ ; Yang, Shu ¹ ; Sun, Yao ¹ ; Zhang, Yan ¹ ; Zhou, Mingying ¹ ;

作者机构： 1.Chinese Fisheries Sci Acad, Yellow Sea Fisheries Res Inst, Qingdao 266071, Peoples R China

2.Minist Agr, Key Lab Sustainable Dev Marine Fisheries, Qingdao 266071, Peoples R China

3.Chinese Acad Fishery Sci, Key Lab Aquat Prod Proc, Minist Agr & Rural Affairs, Beijing 100141, Peoples R China

关键词： marine organic carbon; buried flux; primary productivity; climate change; human activity

期刊名称：ACTA OCEANOLOGICA SINICA （ 影响因子：1.431； 五年影响因子：1.445 ）

ISSN： 0253-505X

年卷期： 2021 年 40 卷 6 期

页码：

收录情况： SCI

摘要： To characterize environmental factors controlling decadal-scale variations in the buried flux of marine organic carbon (BFCm)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$({\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}})$$\end{document} in the eastern shelf sea areas of China (ECSS), four well preserved sediment cores collected from the central Yellow Sea mud (CYSM) area, the Yellow Sea Coastal Current (YSCC) area and the Changjiang River Estuary (CRE) were investigated in this study. In the CYSM, variations in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} were found to be dependent on variations in primary productivity and to exhibit a cyclical trend possibly related to fluctuations in the Pacific Decadal Oscillation (PDO) and the East Asian winter monsoon index (EAWM). In the YSCC, BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} likewise depends on primary productivity. Prior to the 1950s, variations in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} were similar to that of the EAWM. After the 1950s, BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} increased rapidly and exhibited maximum values in the surface layer, consistent with an increase in primary productivity caused by the input of terrestrial nutrients associated with China's economic development. In the CRE, variations in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} were affected by several competing factors making it difficult to identify clear relationships between variations in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} and primary productivity. In contrast, long-term variability in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} is more similar to changes in the Changjiang River sediment load. Thus, it is speculated that the construction of dams along the Changjiang River may be the main cause of variations in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} in this area. Given the disproportionate effects of human activities on marine environments and decadal variations in BFCm\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\rm{B}}{{\rm{F}}_{{{\rm{C}}_{\rm{m}}}}}$$\end{document} in the ECSS, careful attention should be paid to regional differences in organic carbon preservation and environmental changes lest estimates of these values be made imprecise or inaccurate.