Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China

doi:10.1371/journal.pone.0220058

CORC > 烟台海岸带研究所 > 中国科学院烟台海岸带研究所 > 中科院海岸带环境过程与生态修复重点实验室 > 海岸带信息集成与综合管理实验室

	Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China
	Liu, CL ; Sun, QW ; Xing, QG ; Wang, SF ; Tang, DL ; Zhu, DH ; Xing, X
刊名	PLOS ONE
	2019-08-06
卷号	14 期号:8 页码:e0220058
关键词	CHLOROPHYLL-A SPATIOTEMPORAL VARIABILITY INTERANNUAL VARIABILITY SEASONAL VARIABILITY OCEAN COLOR LONG-TERM CLIMATE PACIFIC RECONSTRUCTION TRENDS
ISSN号	1932-6203
DOI	10.1371/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
文献子类	Article
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.
WOS关键词	CHLOROPHYLL-A ; SPATIOTEMPORAL VARIABILITY ; INTERANNUAL VARIABILITY ; SEASONAL VARIABILITY ; OCEAN COLOR ; LONG-TERM ; CLIMATE ; PACIFIC ; RECONSTRUCTION ; TRENDS
WOS研究方向	Multidisciplinary Sciences
语种	英语
WOS记录号	WOS:000484997100015
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]
内容类型	期刊论文
源URL	[http://ir.yic.ac.cn/handle/133337/24884]
专题	烟台海岸带研究所_海岸带信息集成与综合管理实验室烟台海岸带研究所_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.Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China 2.Shandong Univ Weihai, Marine Coll, Weihai, Peoples R China; 3.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China; 4.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China; 5.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China; 6.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Remote Sensing, Guangzhou, Guangdong, Peoples R China;
推荐引用方式 GB/T 7714	Liu, 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.
APA	Liu, 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.
MLA	Liu, 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.