Quantitative Analysis and Nonlinear Response of Vegetation Dynamic to Driving Factors in Arid and Semi-Arid Regions of China
文献类型：期刊论文
| 作者 | Liu, Shihao2,3; Yang, Dazhi2,6; Zhang, Xuyang2,5; Liu, Fangtian1,4 |
| 刊名 | LAND
 |
| 出版日期 | 2025-08-01 |
| 卷号 | 14期号:8页码:1575 |
| 关键词 | kNDVI spatiotemporal variation of vegetation driving factors nonlinear trend arid and semi-arid regions |
| DOI | 10.3390/land14081575 |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Vegetation dynamics are complexly influenced by multiple factors such as climate, human activities, and topography. In recent years, the frequency, intensity, and diversity of human activities have increased, placing substantial pressure on the growth of vegetation. Arid and semi-arid regions are particularly sensitive to climate change, and climate change and large-scale ecological restoration have led to significant changes in the dynamic of dryland vegetation. However, few studies have explored the nonlinear relationships between these factors and vegetation dynamic. In this study, we integrated trend analysis (using the Mann-Kendall test and Theil-Sen estimation) and machine learning algorithms (XGBoost-SHAP model) based on long time-series remote sensing data from 2001 to 2020 to quantify the nonlinear response patterns and threshold effects of bioclimatic variables, topographic features, soil attributes, and anthropogenic factors on vegetation dynamic. The results revealed the following key findings: (1) The kNDVI in the study area showed an overall significant increasing trend (p < 0.01) during the observation period, of which 26.7% of the area showed a significant increase. (2) The water content index (Bio 23, 19.6%), the change in land use (15.2%), multi-year average precipitation (pre, 15.0%), population density (13.2%), and rainfall seasonality (Bio 15, 10.9%) were the key factors driving the dynamic change of vegetation, with the combined contribution of natural factors amounting to 64.3%. (3) Among the topographic factors, altitude had a more significant effect on vegetation dynamics, with higher altitude regions less likely to experience vegetation greening. Both natural and anthropogenic factors exhibited nonlinear responses and interactive effects, contributing to the observed dynamic trends. This study provides valuable insights into the driving mechanisms behind the condition of vegetation in arid and semi-arid regions of China and, by extension, in other arid regions globally. |
| URL标识 | 查看原文 |
| WOS关键词 | CLIMATE-CHANGE ; IMPACTS ; TREND ; NDVI |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001560239400001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/216169]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Yang, Dazhi |
| 作者单位 | 1.Hebei Univ Econ & Business, Sch Publ Adm, Shijiazhuang 050061, Peoples R China; 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; 3.Shandong Agr Univ, Coll Resources & Environm, Tai An 271018, Peoples R China; 4.Hebei Collaborat Innovat Ctr Urban Rural Integrate, Shijiazhuang 050061, Peoples R China 5.Anhui Univ Sci & Technol, Sch Earth & Environm, Huainan 232001, Peoples R China; 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Liu, Shihao,Yang, Dazhi,Zhang, Xuyang,et al. Quantitative Analysis and Nonlinear Response of Vegetation Dynamic to Driving Factors in Arid and Semi-Arid Regions of China[J]. LAND,2025,14(8):1575. |
| APA | Liu, Shihao,Yang, Dazhi,Zhang, Xuyang,&Liu, Fangtian.(2025).Quantitative Analysis and Nonlinear Response of Vegetation Dynamic to Driving Factors in Arid and Semi-Arid Regions of China.LAND,14(8),1575. |
| MLA | Liu, Shihao,et al."Quantitative Analysis and Nonlinear Response of Vegetation Dynamic to Driving Factors in Arid and Semi-Arid Regions of China".LAND 14.8(2025):1575. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。