Variability in phytoplankton biomass and effects of sea surface temperature based on satellite data from the Yellow Sea, China
文献类型：期刊论文
| 作者 | Liu, Chunli; Sun, Qiwei1,5; Xing, Qianguo6; Wang, Sufen4; Tang, Danling4; Zhu, Donghe3; Xing, Xiang; chunliliu@sdu.edu.cn; xingxiang@sdu.edu.cn |
| 刊名 | PLOS ONE
 |
| 出版日期 | 2019 |
| 卷号 | 14期号:8页码:e0220058 |
| DOI | 10.1371/journal.pone.0220058 |
| 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. |
| 资助机构 | National Natural Science Foundation of China-Shandong joint fund [U1806203]; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [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] ; National Natural Science Foundation of China-Shandong joint fund [U1806203]; National Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [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] |
| 源URL | [http://ir.scsio.ac.cn/handle/344004/18232]  |
| 专题 | 南海海洋研究所_热带海洋环境国家重点实验室(LTO) |
| 作者单位 | 1.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangzhou, Guangdong, Peoples R China 2.Zhejiang Univ, Ocean Coll, Zhoushan, Peoples R China 3.Chinese Acad Sci, South China Sea Inst Oceanol, State Key Lab Trop Oceanog, Guangdong Key Lab Remote Sensing, Guangzhou, Guangdong, Peoples R China 4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China 5.Shandong Univ Weihai, Marine Coll, Weihai, Peoples R China 6.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Chunli,Sun, Qiwei,Xing, Qianguo,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, Chunli.,Sun, Qiwei.,Xing, Qianguo.,Wang, Sufen.,Tang, Danling.,...&xingxiang@sdu.edu.cn.(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, Chunli,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. |
入库方式： OAI收割
来源：南海海洋研究所
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