Analyzing the Driving Forces of Vegetation Change in the Yellow River Basin: Comprehensive Assessment of Natural Social and Economic Factors
文献类型：期刊论文
| 作者 | Gao, Fei1,2,3; Yang, Ying1,2; Yuan, Weijie1,2; Deng, Xiuxiu1,2; Wang, Lina1,2; Zhang, Shuai1,2 |
| 刊名 | PLANTS-BASEL
 |
| 出版日期 | 2026-02-16 |
| 卷号 | 15期号:4页码:628 |
| 关键词 | leaf area index driving mechanisms Geographically and Temporally Weighted Regression ecological restoration |
| ISSN号 | 2223-7747 |
| DOI | 10.3390/plants15040628 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Leaf area index (LAI) is a key vegetation structural parameter widely used to quantify vegetation dynamics. A thorough understanding of its spatiotemporal characteristics and driving mechanisms is essential for sustainable ecosystem management. This study combines LAI and climate remote sensing data with socioeconomic statistics, and uses the Geographically and Temporally Weighted Regression (GTWR) model and geographic detector to identify the key drivers of LAI changes and their spatial differentiation characteristics. The results indicate a significant upward trend in the LAI across the basin, with a markedly higher growth rate after 2000 (0.0123/year) compared to the period before 2000 (0.0028/year). Spatially, before 2000, 57% of the regions showed an increasing trend in LAI, while after 2000, 69% of the regions exhibited an increasing trend in LAI. In terms of temporal LAI dynamics, in the eastern region, the positive promotion effect of the Grain for Green policy (GRGR) was the most significant factor affecting LAI changes. In the central region, the employed population ratio (EPR) emerged as the dominant factor driving LAI increase. In the western region, the negative effect of the urban-rural income ratio (IR) served as the primary driver of LAI change. Regarding the spatial distribution of LAI, both natural and policy factors were statistically significant. Mean precipitation (MP) and mean slope (MS) exerted the most pronounced influences, followed by mean temperature (MT) and GRGR, whereas mean elevation (MD) showed the weakest effect. Notably, socioeconomic factors did not demonstrate statistically significant impacts on the spatial distribution of LAI. This study provides a theoretical foundation for understanding the driving mechanisms of LAI dynamics in the Yellow River Basin and offers scientific support for ecological restoration and sustainable management in the region. |
| URL标识 | 查看原文 |
| WOS关键词 | LOESS PLATEAU ; WEIGHTED REGRESSION ; GREEN PROGRAM ; CLIMATE ; IMPACT ; GRAIN |
| WOS研究方向 | Plant Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001700156500001 |
| 出版者 | MDPI |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221338]  |
| 专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhang, Shuai |
| 作者单位 | 1.Chinese Acad Forestry, Expt Ctr Forestry North China, Beijing 102300, Peoples R China; 2.Natl Permanent Sci Res Base Warm Temperate Zone Fo, Beijing 102300, Peoples R China; 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Gao, Fei,Yang, Ying,Yuan, Weijie,et al. Analyzing the Driving Forces of Vegetation Change in the Yellow River Basin: Comprehensive Assessment of Natural Social and Economic Factors[J]. PLANTS-BASEL,2026,15(4):628. |
| APA | Gao, Fei,Yang, Ying,Yuan, Weijie,Deng, Xiuxiu,Wang, Lina,&Zhang, Shuai.(2026).Analyzing the Driving Forces of Vegetation Change in the Yellow River Basin: Comprehensive Assessment of Natural Social and Economic Factors.PLANTS-BASEL,15(4),628. |
| MLA | Gao, Fei,et al."Analyzing the Driving Forces of Vegetation Change in the Yellow River Basin: Comprehensive Assessment of Natural Social and Economic Factors".PLANTS-BASEL 15.4(2026):628. |
入库方式： OAI收割
来源：地理科学与资源研究所
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