Volume 42 Issue 1
Jan.  2023
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Tianhao Wang, Yu Sun, Hua Su, Wenfang Lu. Declined trends of chlorophyll a in the South China Sea over 2005−2019 from remote sensing reconstruction[J]. Acta Oceanologica Sinica, 2023, 42(1): 12-24. doi: 10.1007/s13131-022-2097-y
Citation: Tianhao Wang, Yu Sun, Hua Su, Wenfang Lu. Declined trends of chlorophyll a in the South China Sea over 2005−2019 from remote sensing reconstruction[J]. Acta Oceanologica Sinica, 2023, 42(1): 12-24. doi: 10.1007/s13131-022-2097-y

Declined trends of chlorophyll a in the South China Sea over 2005−2019 from remote sensing reconstruction

doi: 10.1007/s13131-022-2097-y
Funds:  The National Natural Science Foundation of China under contract No. 41906019.
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  • Corresponding author: E-mail: luwf6@sysu.edu.cn
  • Received Date: 2022-01-27
  • Accepted Date: 2022-08-15
  • Available Online: 2022-10-28
  • Publish Date: 2023-01-25
  • Chlorophyll a concentration (CHL) is an important proxy of the marine ecological environment and phytoplankton production. Long-term trends in CHL of the South China Sea (SCS) reflect the changes in the ecosystem’s productivity and functionality in the regional carbon cycle. In this study, we applied a previously reconstructed 15-a (2005−2019) CHL product, which has a complete coverage at 4 km and daily resolutions, to analyze the long-term trends of CHL in the SCS. Quantile regression was used to elaborate on the long-term trends of high, median, and low CHL values, as an extended method of conventional linear regression. The results showed downward trends of the SCS CHL for the 75th, 50th, and 25th quantile in the past 15 a, which were −0.004 0 mg/(m3·a) (−1.62% per year), −0.002 3 mg/(m3·a) (−1.10% per year), and −0.001 9 mg/(m3·a) (−1.01% per year). The negative trends in winter (November to March) were more prominent than those in summer (May to September). In terms of spatial distribution, the downward trend was more significant in regions with higher CHL. These led to a reduced standard deviation of CHL over time and space. We further explored the influence of various dynamic factors on CHL trends for the entire SCS and two typical systems (winter Luzon Strait (LZ) and summer Vietnam Upwelling System (SV)) with single-variate linear regression and multivariate Random Forest analysis. The multivariate analysis suggested the CHL trend pattern can be best explained by the trends of wind speed and mixed-layer depth. The divergent importance of controlling factors for LZ and SV can explain the different CHL trends for the two systems. This study expanded our understanding of the long-term changes of CHL in the SCS and provided a reference for investigating changes in the marine ecosystem.
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