文献类型：期刊文献

英文题名：Comparative study of the variability and trends of phytoplankton biomass between spring and winter upwelling systems in the South China Sea

作者：Zeng, Jialing[1,2];Liu, Chunli[1];Li, Xue[3];Zhao, Hui[4];Lu, Xiaoling[1]

机构：[1]Shandong Univ, Marine Coll, Weihai 264209, Peoples R China;[2]Xiamen Univ, Coll Ocean & Earth Sci, State Key Lab Marine Environm Sci, Xiamen 361005, Peoples R China;[3]Jiangsu Ocean Univ, Jiangsu Inst Marine Resources Dev, Lianyungang 222005, Peoples R China;[4]Guangdong Ocean Univ, Fac Chem & Environm Sci, Zhanjiang 524088, Peoples R China

年份：2022

卷号：231

外文期刊名：JOURNAL OF MARINE SYSTEMS

收录：SCI-EXPANDED(收录号：WOS:000807740700002)、、EI(收录号：20221912075631)、Scopus(收录号：2-s2.0-85129406783)、WOS

基金：Acknowledgements The authors are grateful to the anonymous reviewer for the constructive comments; The authors would also like to thank Dr. Wei Hu from Plant and Food Research (New Zealand) for helping with the multiple wavelet coherence analysis. This work was supported by the following research grants: the National Natural Science Foundation of China-Shandong joint fund (U1806203) ; Shandong Provincial Natural Science Foundation (ZR2020MD098) ; the Fundamental Research Funds for the Central Universities (2019ZRJC005) ; Shandong Universities Interdisciplinary Research and Innovation Team of Young Scholars (2020QNQT20) .

语种：英文

外文关键词：Phytoplankton biomass; Upwelling; South China Sea; Empirical orthogonal function; Multiple wavelet coherence

外文摘要：High phytoplankton biomass usually appears off the coastal waters southeast of Vietnam (SV) during summer and southwest of the Luzon Strait (SLS) in winter. Although this seasonal upwelling has been recognized in SV and SLS for more than half a century, there has been limited documentation comparing the characteristics and formation mechanisms of these two upwelling systems. To understand the dynamic features of phytoplankton growth in SV and SLS, seasonal and interannual variabilities of Chlorophyll-a (Chl-a) concentration were studied based on decadal-scale satellite-derived datasets (2003-2018). Bivariate wavelet coherence (BWC) and multiple wavelet coherence (MWC) were performed to evaluate the temporal variability of multiple controlling factors. The results demonstrated that there were different patterns of seasonal cycles and interannual variability of Chl-a concentrations in the two upwelling regions. In SV, high Chl-a concentrations during summer were primarily formed by the interactions of multiple factors, causing the mixed layer depth to increase during summer and sufficient nutrient concentrations on the surface (supplied by the mixed water column). In contrast, the high Chla concentrations in SLS are caused by a combination of deep mixing (induced by wind and buoyancy forcing) and enhanced upward advection (induced by strong eddy activities). These factors support intense levels of phytoplankton biomass during winter. The sea surface temperature (SST) was the best single factor to explain the Chl-a variance in both regions. The addition of more factors to the MWC analysis changed the main factors influencing the Chl-a variations. The two-factor combination of SST-Nin similar to o 3.4 in SV and the SST-mixed layer depth (MLD) in SLS controlled the Chl-a variations on an interannual scale. Moreover, the three-factor combination of SST-Nin similar to o 3.4-MLD was still meaningful for explaining the Chl-a variations. This indicated that the influencing the Chl-a variations differed in these two upwelling systems.