The Distribution of Aerosols and Their Impacts on Chlorophyll‐ a Distribution in the South China Sea

2020 ◽  
Vol 125 (6) ◽  
Author(s):  
Chunyan Shen ◽  
Hui Zhao ◽  
Fajin Chen ◽  
Hongwei Xiao
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Chlorophyll A Distribution

scholarly journals Spatiotemporal Variability of Surface Phytoplankton Carbon and Carbon-to-Chlorophyll a Ratio in the South China Sea Based on Satellite Data

2020 ◽  
Vol 13 (1) ◽  
pp. 30
Author(s):  
Wenlong Xu ◽  
Guifen Wang ◽  
Long Jiang ◽  
Xuhua Cheng ◽  
Wen Zhou ◽  
...  
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
Satellite Data ◽  
Phytoplankton Biomass ◽  
The South China Sea ◽  
Spatiotemporal Variability ◽  
The South ◽  
Chl A ◽  
China Sea

The spatiotemporal variability of phytoplankton biomass has been widely studied because of its importance in biogeochemical cycles. Chlorophyll a (Chl-a)—an essential pigment present in photoautotrophic organisms—is widely used as an indicator for oceanic phytoplankton biomass because it could be easily measured with calibrated optical sensors. However, the intracellular Chl-a content varies with light, nutrient levels, and temperature and could misrepresent phytoplankton biomass. In this study, we estimated the concentration of phytoplankton carbon—a more suitable indicator for phytoplankton biomass—using a regionally adjusted bio-optical algorithm with satellite data in the South China Sea (SCS). Phytoplankton carbon and the carbon-to-Chl-a ratio (θ) exhibited considerable variability spatially and seasonally. Generally, phytoplankton carbon in the northern SCS was higher than that in the western and central parts. The regional monthly mean phytoplankton carbon in the northern SCS showed a prominent peak during December and January. A similar pattern was shown in the central part of SCS, but its peak was weaker. Besides the winter peak, the western part of SCS had a secondary maximum of phytoplankton carbon during summer. θ exhibited significant seasonal variability in the northern SCS, but a relatively weak seasonal change in the western and central parts. θ had a peak in September and a trough in January in the northern and central parts of SCS, whereas in the western SCS the minimum and maximum θ was found in August and during October–April of the following year, respectively. Overall, θ ranged from 26.06 to 123.99 in the SCS, which implies that the carbon content could vary up to four times given a specific Chl-a value. The variations in θ were found to be related to changing phytoplankton community composition, as well as dynamic phytoplankton physiological activities in response to environmental influences; which also exhibit much spatial differences in the SCS. Our results imply that the spatiotemporal variability of θ should be considered, rather than simply used a single value when converting Chl-a to phytoplankton carbon biomass in the SCS, especially, when verifying the simulation results of biogeochemical models.

scholarly journals The variability of chlorophyll-a and its relationship with dynamic factors in the basin of the South China Sea

2019 ◽  
Vol 200 ◽  
pp. 103230 ◽  
Author(s):  
Yi Yu ◽  
Xiaogang Xing ◽  
Hailong Liu ◽  
Yeping Yuan ◽  
Yuntao Wang ◽  
...  
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
China Sea ◽  
Dynamic Factors

scholarly journals The Effect of the ENSO on the Variability of SST and Chlorophyll-a in the South China Sea

2019 ◽  
Vol 246 ◽  
pp. 012027 ◽  
Author(s):  
Siti Maisyarah ◽  
Anindya Wirasatriya ◽  
Jarot Marwoto ◽  
Petrus Subardjo ◽  
Indra B Prasetyawan
Keyword(s):  
South China Sea ◽  
Chlorophyll A ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
China Sea
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