Wei Xijun, Zhao Hui
College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, China; Research Center for Coastal Environmental Protection and Ecological Resilience, Guangdong Ocean University, Zhanjiang, China; Cooperative Research Center for Nearshore Marine Environmental Change, Guangdong Ocean University, Zhanjiang, China.
College of Chemistry and Environmental Science, Guangdong Ocean University, Zhanjiang, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, China; Research Center for Coastal Environmental Protection and Ecological Resilience, Guangdong Ocean University, Zhanjiang, China; Cooperative Research Center for Nearshore Marine Environmental Change, Guangdong Ocean University, Zhanjiang, China.
Mar Environ Res. 2025 Feb;204:106902. doi: 10.1016/j.marenvres.2024.106902. Epub 2024 Dec 9.
In this paper, the spatial and temporal distribution of chlorophyll-a (Chl-a) concentration in the South China Sea (SCS) and its major environmental regulator mechanisms were studied by using satellite remote sensing data sea surface temperature (SST), sea surface wind (SSW), and aerosol optical depth (AOD) spanning from January 2000 to December 2022. The results show that Chl-a in the SCS exhibit notable spatio-temporal variations: they peak in winter (∼0.234 mg m) and autumn (∼0.156 mg m), and decline in spring (∼0.144 mg m) and summer (∼0.136 mg m). Spatially, Chl-a near the coast and in upwelling areas are generally higher than those in offshore areas. A monthly average time series correlation analysis across the entire SCS shows that Chl-a significantly correlate with SST (R = -0.78, P < 0.01) and SSW (R = 0.78, P < 0.01), and moderately correlate with AOD (R = 0.29, P < 0.01). The regulator of environmental factors also shows seasonal differences: during the winter monsoon period, Chl-a has the highest partial correlation with SSW (R = 0.73, P < 0.01), followed by SST (R = -0.55, P < 0.01), and no significant partial correlation with AOD (R = 0.14, P > 0.05); during the summer monsoon period, Chl-a has the highest partial correlation with SST (R = -0.63, P < 0.01), followed by AOD (R = 0.40, P < 0.01), and no significant partial correlation with SSW (R = 0.12, P > 0.05). A comprehensive analysis indicates that the mixing and upwelling processes regulated by the winter monsoon and SST exert a greater influence on nutrient variations. The enhanced mixing caused by the winter monsoon and the cold environment promote the growth of phytoplankton, leading to higher Chl-a concentrations in winter compared to other seasons. In contrast, the increased temperature in the summer monsoon period significantly weakens the mixing effect of wind speed and nutrients influx from deep layers to surface layers. Consequently, the external nutrient sourced from aerosol becomes crucial in determining Chl-a distribution, especially in oligotrophic regions near the southern SCS and the basin. However, in regions where other nutrient sources significantly contribute, such as the coastal areas influenced by seasonal upwelling, the contribution of aerosols is negligible.
本文利用2000年1月至2022年12月的卫星遥感数据海表面温度(SST)、海表面风(SSW)和气溶胶光学厚度(AOD),研究了南海叶绿素a(Chl-a)浓度的时空分布及其主要环境调节机制。结果表明,南海的Chl-a呈现出显著的时空变化:冬季(约0.234mg/m)和秋季(约0.156mg/m)达到峰值,春季(约0.144mg/m)和夏季(约0.136mg/m)下降。在空间上,近岸和上升流区域的Chl-a通常高于近海区域。对整个南海的月平均时间序列相关性分析表明,Chl-a与SST(R = -0.78,P < 0.01)和SSW(R = 0.78,P < 0.01)显著相关,与AOD中度相关(R = 0.29,P < 0.01)。环境因素的调节作用也存在季节差异:在冬季风期间,Chl-a与SSW的偏相关性最高(R = 0.73,P < 0.01),其次是SST(R = -0.55,P < 0.01),与AOD无显著偏相关性(R = 0.14,P > 0.05);在夏季风期间,Chl-a与SST的偏相关性最高(R = -0.63,P < 0.01),其次是AOD(R = 0.40,P < 0.01),与SSW无显著偏相关性(R = 0.12,P > 0.05)。综合分析表明,冬季风和SST调节的混合和上升流过程对营养物质变化的影响更大。冬季风引起的混合增强和寒冷环境促进了浮游植物的生长,导致冬季的Chl-a浓度高于其他季节。相比之下,夏季风期间温度升高显著削弱了风速的混合作用以及深层营养物质向表层的流入。因此,来自气溶胶的外部营养物质在决定Chl-a分布方面变得至关重要,特别是在南海南部和盆地附近的贫营养区域。然而,在其他营养源贡献显著的区域,如受季节性上升流影响的沿海地区,气溶胶的贡献可以忽略不计。