Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020
文献类型：期刊论文
| 作者 | Chen, Yang1,2; Xu, Yongming1; Chen, Tianyu2,3; Zhang, Fei1; Zhu, Shanyou1 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2024 |
| 卷号 | 16期号:1页码:18 |
| 关键词 | NEP spatiotemporal variations AVHRR CASA Geodetector |
| DOI | 10.3390/rs16010060 |
| 通讯作者 | Xu, Yongming(xym30@nuist.edu.cn) |
| 英文摘要 | Understanding the net ecosystem productivity (NEP) is essential for understanding ecosystem functioning and the global carbon cycle. Utilizing meteorological and The Advanced Very High Resolution Radiometer (AVHRR) remote sensing data, this study employed the Carnegie-Ames-Stanford Approach (CASA) and the Geostatistical Model of Soil Respiration (GSMSR) to map a monthly vegetation NEP in China from 1982 to 2020. Then, we examined the spatiotemporal trends of NEP and identified the drivers of NEP changes using the Geodetector model. The mean NEP over the 39-year period amounted to 265.38 gC center dot m-2. Additionally, the average annual carbon sequestration amounted to 1.89 PgC, indicating a large carbon sink effect. From 1982 to 2020, there was a general fluctuating increasing trend observed in the annual mean NEP, exhibiting an overall average growth rate of 4.69 gC center dot m-2 center dot a-1. The analysis revealed that the majority of the vegetation region in China, accounting for 93.45% of the entirety, exhibited increasing trends in NEP. According to the Geodetector analysis, precipitation change rate, solar radiation change rate, and altitude were the key driving factors in NEP change rate. Furthermore, the interaction between the precipitation change rate and altitude demonstrated the most significant effect. |
| WOS关键词 | TERRESTRIAL CARBON-CYCLE ; CLIMATE ; MODEL ; PRECIPITATION ; UNCERTAINTY ; SATELLITE |
| 资助项目 | Science and Technology Research Plan in Key Areas of Xin jiang Production and Construction Corps ; United States Geological Survey (USGS) ; National Aeronautics and Space Administration (NASA) ; University of Idaho |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| 语种 | 英语 |
| 出版者 | MDPI |
| WOS记录号 | WOS:001140683700001 |
| 资助机构 | Science and Technology Research Plan in Key Areas of Xin jiang Production and Construction Corps ; United States Geological Survey (USGS) ; National Aeronautics and Space Administration (NASA) ; University of Idaho |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/202407]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Xu, Yongming |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Remote Sensing & Geomat Engn, Nanjing 210044, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Xian Jiaotong Liverpool Univ, Sch Adv Technol, Suzhou 215123, Peoples R China |
| 推荐引用方式 GB/T 7714 | Chen, Yang,Xu, Yongming,Chen, Tianyu,et al. Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020[J]. REMOTE SENSING,2024,16(1):18. |
| APA | Chen, Yang,Xu, Yongming,Chen, Tianyu,Zhang, Fei,&Zhu, Shanyou.(2024).Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020.REMOTE SENSING,16(1),18. |
| MLA | Chen, Yang,et al."Exploring the Spatiotemporal Dynamics and Driving Factors of Net Ecosystem Productivity in China from 1982 to 2020".REMOTE SENSING 16.1(2024):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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