Assessment of land degradation risks in the Loess Plateau
文献类型：期刊论文
| 作者 | Yu, Ziyue1,2,7; Deng, Xiangzheng1,4,6; Fu, Ping2; Grebby, Stephen7; Mangi, Eugenio5 |
| 刊名 | LAND DEGRADATION & DEVELOPMENT
 |
| 出版日期 | 2024-02-29 |
| 卷号 | N/A |
| 关键词 | Grain for Green Project land degradation Loess Plateau NDVI random forest |
| DOI | 10.1002/ldr.5069 |
| 产权排序 | 1 |
| 文献子类 | Article ; Early Access |
| 英文摘要 | Human activity and climate change are degrading the environmentally fragile Loess Plateau in dry and semiarid regions. Land deterioration threatens human and ecological existence. To prevent additional land degradation and ensure the ecological development and quality of arable land in the region, China launched Grain for Green in the late 1990s. This effort greatly boosted Loess Plateau vegetation. However, land degradation is complex, and so we must also examine natural and social variables to prevent additional degradation. Thus, this study presents a comprehensive index system to quantify land degradation on the Loess Plateau and uses machine learning to anticipate high-risk locations. The project improved land degradation, and the spatial distribution of degradation risk is high in the northern and low in the eastern and southern regions of the Plateau. Gross Domestic Product and population density are the main drivers of land degradation. Industrialization and urbanization have raised the risk of land degradation, which now accounts for 1%-2% of the area. This study emphasizes sustainable land management in the Loess Plateau, a critical area for sustainable development in China. The integrated assessment indicator system and random forest modeling machine learning help grasp the current status and future preventive measures. The outcome of this study advances the Loess Plateau land degradation research and sustainable land management. The research findings possess significant scientific reference value in terms of mitigating and managing land degradation in environmentally vulnerable regions worldwide. |
| WOS关键词 | QUANTITATIVE ASSESSMENT ; DESERTIFICATION ; IMPACTS |
| WOS研究方向 | Environmental Sciences & Ecology ; Agriculture |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:001175220100001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/203331]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 作者单位 | 1.Univ Nottingham Ningbo China, Sch Geog Sci, Ningbo, Peoples R China 2.Univ Nottingham, Nottingham Geospatial Inst, Fac Engn, Nottingham, England 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 4.Univ Nottingham Ningbo China, Dept Architecture & Built Environm, Ningbo, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100149, Peoples R China 6.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yu, Ziyue,Deng, Xiangzheng,Fu, Ping,et al. Assessment of land degradation risks in the Loess Plateau[J]. LAND DEGRADATION & DEVELOPMENT,2024,N/A. |
| APA | Yu, Ziyue,Deng, Xiangzheng,Fu, Ping,Grebby, Stephen,&Mangi, Eugenio.(2024).Assessment of land degradation risks in the Loess Plateau.LAND DEGRADATION & DEVELOPMENT,N/A. |
| MLA | Yu, Ziyue,et al."Assessment of land degradation risks in the Loess Plateau".LAND DEGRADATION & DEVELOPMENT N/A(2024). |
入库方式： OAI收割
来源：地理科学与资源研究所
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