Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model
文献类型：期刊论文
| 作者 | Zheng, Jiahe5; Zhang, Yangjian5,6; Wang, Xuhui2; Zhu, Juntao6; Zhao, Guang5; Zheng, Zhoutao; Tao, Jian3; Zhang, Yu5; Li, Ji4 |
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2023-04-30 |
| 卷号 | 15期号:9页码:2375 |
| 关键词 | climate change grassland net ecosystem productivity random forest model Tibetan Plateau |
| DOI | 10.3390/rs15092375 |
| 文献子类 | Article |
| 英文摘要 | The Tibetan Plateau (TP) is one of the most important areas for the study of the carbon budgets of terrestrial ecosystems. However, the estimation of the net ecosystem productivity (NEP) remains uncertain in this region due to its complex topographic properties and climatic conditions. Using CO2-eddy-covariance-flux data from 1982 to 2018 at 18 sites distributed around the TP grassland, we analyzed the spatial-temporal patterns of the grassland NEP and its driving factors from 1982 to 2018 using a random forest (RF) model. Our results showed that the RF model captured the size of the carbon sink (R-2 = 0.65, p < 0.05) between the observed and simulated values for the validation samples. During the observation period, the grassland acted as a carbon sink of 26.2 Tg C yr(-1) and increased significantly, by 0.4 g C m(-2) yr(-1). On a regional scale, the annual NEP gradually increased from the northwest to the southeast, and a similar pattern was also observed in the long-term trends. Furthermore, the moisture conditions, such as the specific humidity and precipitation, were proven to be the main driving factors of the carbon flux in the southeastern areas, while the temperature predominantly controlled the carbon flux in the northwest. Our results emphasize the net carbon sink of the TP and provide a reliable way to upscale NEP from sites. |
| 学科主题 | Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology |
| WOS关键词 | EDDY-COVARIANCE MEASUREMENTS ; TERRESTRIAL CARBON FLUXES ; GROSS PRIMARY PRODUCTION ; ALPINE MEADOW ; INTERANNUAL VARIABILITY ; DIFFERENTIAL RESPONSE ; DIOXIDE EXCHANGE ; ATMOSPHERIC CO2 ; WATER-VAPOR ; CLIMATE |
| 语种 | 英语 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/193444]  |
| 专题 | 拉萨站高原生态系统研究中心_外文论文 |
| 作者单位 | 1.China Univ Geosci, Sch Geog & Informat Engn, Dept Geog, Wuhan 430078, Peoples R China 2.Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 3.Peking Univ, Coll Urban & Environm Sci, Beijing 100871, Peoples R China 4.Shandong Technol & Business Univ, Sch Publ Adm, Yantai 264005, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zheng, Jiahe,Zhang, Yangjian,Wang, Xuhui,et al. Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model[J]. REMOTE SENSING,2023,15(9):2375. |
| APA | Zheng, Jiahe.,Zhang, Yangjian.,Wang, Xuhui.,Zhu, Juntao.,Zhao, Guang.,...&Li, Ji.(2023).Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model.REMOTE SENSING,15(9),2375. |
| MLA | Zheng, Jiahe,et al."Estimation of Net Ecosystem Productivity on the Tibetan Plateau Grassland from 1982 to 2018 Based on Random Forest Model".REMOTE SENSING 15.9(2023):2375. |
入库方式： OAI收割
来源：地理科学与资源研究所
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