Spatiotemporal Dynamics and Budget of Particulate Organic Carbon in China’s Marginal Seas Based on MODIS-Aqua
Using MODIS-Aqua satellite observations, this study analyzes the spatiotemporal distribution characteristics of particulate organic carbon (POC) in China’s marginal seas from 2003 to 2024. The statistical relationships between various marine environmental variables, including sea surface temperature (SST), nutrients, and primary production (PP), and POC concentrations are explored using partial least squares path modeling (PLS-PM). Finally, a box model approach is conducted to assess the POC budget in the study area. The results indicate that the POC concentration in the marginal seas of China generally exhibits a characteristic of being high in spring and low in summer. The highest concentration of POC is observed in the Bohai Sea, followed by the Yellow Sea, and the lowest in the East China Sea, with coastal waters exhibiting higher POC concentrations compared to the central areas. The spatial distribution and seasonal changes in POC are jointly influenced by PP, water mass exchange, resuspended sediments, and terrestrial inputs. Large-scale climate modes show statistical associations with POC concentration in the open waters of China’s marginal seas. PP and respiratory consumption are identified as the predominant input and output fluxes, respectively, in China’s marginal seas. This study enriches the understanding of carbon cycling processes and carbon sink mechanisms in marginal seas.
Authors
- Guijun Han (ORCID: https://orcid.org/0000-0001-8442-7148)
- Lige Cao (ORCID: https://orcid.org/0009-0001-0198-1037)
- Gongfu Zhou
- Qingyu Zheng (ORCID: https://orcid.org/0000-0001-6476-6927)
- XuDong Cui
- Qiang Luo
- Haowen Wu
- Wei Li
- Yang Zhang
- Xuan Wang
Institutions
- Tianjin University (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-12-26
- DOI
- https://doi.org/10.3390/rs18010092
- Primary Topic
- Marine and coastal ecosystems
- Type
- article
- Field-Weighted Citation Impact
- 0.00