Remote Sensing Evidence of Blue Carbon Stock Increase and Attribution of Its Drivers in Coastal China
文献类型：期刊论文
| 作者 | Chen, Jie1,3; Lu, Yiming1; Liu, Fangyuan1; Gao, Guoping1; Xie, Mengyan2 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2025-07-23 |
| 卷号 | 17期号:15页码:2559 |
| 关键词 | blue carbon ecosystems carbon stock Google Earth Engine InVEST coastal China |
| DOI | 10.3390/rs17152559 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Coastal blue carbon ecosystems (traditional types such as mangroves, salt marshes, and seagrass meadows; emerging types such as tidal flats and mariculture) play pivotal roles in capturing and storing atmospheric carbon dioxide. Reliable assessment of the spatial and temporal variation and the carbon storage potential holds immense promise for mitigating climate change. Although previous field surveys and regional assessments have improved the understanding of individual habitats, most studies remain site-specific and short-term; comprehensive, multi-decadal assessments that integrate all major coastal blue carbon systems at the national scale are still scarce for China. In this study, we integrated 30 m Landsat imagery (1992-2022), processed on Google Earth Engine with a random forest classifier; province-specific, literature-derived carbon density data with quantified uncertainty (mean +/- standard deviation); and the InVEST model to track coastal China's mangroves, salt marshes, tidal flats, and mariculture to quantify their associated carbon stocks. Then the GeoDetector was applied to distinguish the natural and anthropogenic drivers of carbon stock change. Results showed rapid and divergent land use change over the past three decades, with mariculture expanded by 44%, becoming the dominant blue carbon land use; whereas tidal flats declined by 39%, mangroves and salt marshes exhibited fluctuating upward trends. National blue carbon stock rose markedly from 74 Mt C in 1992 to 194 Mt C in 2022, with Liaoning, Shandong, and Fujian holding the largest provincial stock; Jiangsu and Guangdong showed higher increasing trends. The Normalized Difference Vegetation Index (NDVI) was the primary driver of spatial variability in carbon stock change (q = 0.63), followed by precipitation and temperature. Synergistic interactions were also detected, e.g., NDVI and precipitation, enhancing the effects beyond those of single factors, which indicates that a wetter climate may boost NDVI's carbon sequestration. These findings highlight the urgency of strengthening ecological red lines, scaling climate-smart restoration of mangroves and salt marshes, and promoting low-impact mariculture. Our workflow and driver diagnostics provide a transferable template for blue carbon monitoring and evidence-based coastal management frameworks. |
| URL标识 | 查看原文 |
| WOS关键词 | FORESTS ; RISE |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| WOS记录号 | WOS:001549643100001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/215581]  |
| 专题 | 资源与环境信息系统国家重点实验室_外文论文 |
| 通讯作者 | Chen, Jie |
| 作者单位 | 1.Shanghai Ocean Univ, Coll Oceanog & Ecol Sci, Shanghai 201306, Peoples R China; 2.Shanghai Ocean Univ, Coll Informat Technol, Shanghai 201306, Peoples R China 3.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Jie,Lu, Yiming,Liu, Fangyuan,et al. Remote Sensing Evidence of Blue Carbon Stock Increase and Attribution of Its Drivers in Coastal China[J]. REMOTE SENSING,2025,17(15):2559. |
| APA | Chen, Jie,Lu, Yiming,Liu, Fangyuan,Gao, Guoping,&Xie, Mengyan.(2025).Remote Sensing Evidence of Blue Carbon Stock Increase and Attribution of Its Drivers in Coastal China.REMOTE SENSING,17(15),2559. |
| MLA | Chen, Jie,et al."Remote Sensing Evidence of Blue Carbon Stock Increase and Attribution of Its Drivers in Coastal China".REMOTE SENSING 17.15(2025):2559. |
入库方式： OAI收割
来源：地理科学与资源研究所
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