Liu, CL; Sun, QW; Xing, QG
; Wang, SF; Tang, DL; Zhu, DH; Xing, X发表期刊PLOS ONE
ISSN1932-6203
2019-08-06
卷号14期号:8页码:e0220058
关键词CHLOROPHYLL-ASPATIOTEMPORAL VARIABILITYINTERANNUAL VARIABILITYSEASONAL VARIABILITYOCEAN COLORLONG-TERMCLIMATEPACIFICRECONSTRUCTIONTRENDS
研究领域Multidisciplinary Sciences
DOI10.1371/journal.pone.0220058
产权排序[Liu, Chunli; Xing, Xiang] Shandong Univ Weihai, Marine Coll, Weihai, Peoples R China; [Sun, Qiwei] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China; [Sun, Qiwei] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China; [Xing, Qianguo] Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; [Wang, Sufen; Tang, Danling] Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Remote Sensing, Guangzhou, Guangdong, Peoples R China; [Zhu, Donghe] Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China
通讯作者Liu, Chunli(chunliliu@sdu.edu.cn); Xing, Xiang(xingxiang@sdu.edu.cn)
作者部门海岸带信息集成与综合管理实验室
英文摘要A time series of satellite data on Chlorophyll-a concentration (Chl-a) that used ocean color was studied to determine mechanisms of phytoplankton variation in recent decade in the Yellow Sea, China during 2003-2015. The variability patterns on seasonal and inter-annual oscillation periods were confirmed using the Empirical Orthogonal Function (EOF), and Morlet wavelet transform analyses, respectively. The first EOF mode for Chl-a was dominated by obvious spring and fall blooms in a spatial pattern that was related to the strong mixing of the water masses from the Yellow Sea Cold Warm Mass (YSCWM) and the Yellow Sea Warm Current (YSWC) in winter. The second EOF mode for Chl-a showed an opposite spatial pattern between the northern and southern regions. The temporal coefficient showed differences in the timing of blooms. On an inter-annual scale, Chl-a indicated variation at periods of 2-4 years during 2003-2015. Chl-a showed a significantly negative correlation with the sea surface temperature (r = -0.21, p<0.01), with time lags of 4 months (Chl-a ahead). Chl-a was coupled with El Nino Southern Oscillation (ENSO) events, with a positive correlation (r = 0.46, p<0.01) at a lag of 3-5 months (ENSO ahead). The present study demonstrated that the variation in phytoplankton biomass was controlled primarily by water mass seasonally, and it was influenced by ENSO events on an inter-annual scale.
文章类型Article
资助机构National Natural Science Foundation of China-Shandong joint fund [U1806203]; National Science Foundation of ChinaNational Natural Science Foundation of China [41206166]; Fundamental Research Funds for the Central UniversitiesFundamental Research Funds for the Central Universities [2019ZRJC005]; Postdoctoral Science Foundation of ChinaChina Postdoctoral Science Foundation [2017M622180]; Fundamental of Guangdong Key Laboratory of Ocean Remote Sensing (South China Sea Institute of Oceanology Chinese Academy of Sciences) [2017B030301005-LORS1803]
收录类别SCI
语种英语
关键词[WOS]CHLOROPHYLL-A; SPATIOTEMPORAL VARIABILITY; INTERANNUAL VARIABILITY; SEASONAL VARIABILITY; OCEAN COLOR; LONG-TERM; CLIMATE; PACIFIC; RECONSTRUCTION; TRENDS
研究领域[WOS]Multidisciplinary Sciences
WOS记录号WOS:000484997100015
引用统计被引频次：7[WOS][WOS记录][WOS相关记录]
文献类型期刊论文
条目标识符http://ir.yic.ac.cnhttp://ir.yic.ac.cn/handle/133337/24884
专题中科院海岸带环境过程与生态修复重点实验室_海岸带信息集成与战略规划研究中心
中科院海岸带环境过程与生态修复重点实验室
作者单位1.Shandong Univ Weihai, Marine Coll, Weihai, Peoples R China;
2.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China;
3.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China;
4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China;
5.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Remote Sensing, Guangzhou, Guangdong, Peoples R China;
6.Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China
推荐引用方式
GB/T 7714Liu, CL,Sun, QW,Xing, QG,et al. Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China[J]. PLOS ONE,2019,14(8):e0220058.
APALiu, CL.,Sun, QW.,Xing, QG.,Wang, SF.,Tang, DL.,...&Xing, X.(2019).Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China.PLOS ONE,14(8),e0220058.
MLALiu, CL,et al."Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China".PLOS ONE 14.8(2019):e0220058.
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