Han Lei, Huo Hong, Liu Zhao, Zhao Yong-Hua, Zhu Hui-Li, Chen Rui, Zhao Zi-Lin
School of Land Engineering, Chang'an University, Xi'an 710054, China.
State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China.
Ying Yong Sheng Tai Xue Bao. 2021 May;32(5):1581-1592. doi: 10.13287/j.1001-9332.202105.014.
Vegetation restoration is an important requirement for ecological protection and high-quality development in the Yellow River Basin. In-depth understanding the temporal and spatial differentiation of vegetation has important practical significance. With the four Landsat TM/OLI remote sensing images as the data source, the pixel binary model was used to estimate vegetation coverage. The transfer matrix, geological information map, and the center of gravity migration model were used to analyze the temporal and spatial variations of vegetation coverage in Yan'an City in the middle of the Yellow River Basin from 1988 to 2018. The spatial variation of vegetation cover to elevation and slope was explored using terrain distribution index combined with terrain data. The results showed that vegetation coverage in Yan'an was low in the north region and high in the south region. The vegetation coverage increased significantly due to policy changes. From 1988 to 2018, the vegetation change pattern in Yan'an was dominated by continuous improvement and stability. Vegetation coverage increased in about 50% of the area. 83% of the study area with high vegetation coverage remained stable. At each elevation and slope level, the advantage of high vegetation cove-rage increased with time. At each slope level, vegetation cover increased with slope. The transition direction of vegetation cover of different levels in Yan'an was basically consistent with the overall spatial change trend of vegetation cover, with the overall shift being from north to west. The vegetation construction in Yan'an has achieved remarkable results, though the vegetation coverage in the north still needs to be improved. Optimizing vegetation types and structures is an important direction for future vegetation construction.
植被恢复是黄河流域生态保护和高质量发展的重要要求。深入了解植被的时空分异具有重要的现实意义。以四期陆地卫星TM/OLI遥感影像为数据源,采用像元二分模型估算植被覆盖度。利用转移矩阵、地质信息图和重心迁移模型,分析了1988—2018年黄河流域中游延安市植被覆盖度的时空变化。结合地形数据,利用地形分布指数探讨了植被覆盖度随海拔和坡度的空间变化。结果表明,延安市植被覆盖度呈现北低南高的特点。受政策变化影响,植被覆盖度显著增加。1988—2018年,延安市植被变化格局以持续改善和稳定为主。约50%的区域植被覆盖度增加。83%的高植被覆盖度研究区域保持稳定。在各海拔和坡度等级上,高植被覆盖度优势随时间增加。在各坡度等级上,植被覆盖度随坡度增加。延安市不同等级植被覆盖度的转移方向基本与植被覆盖度总体空间变化趋势一致,总体上由北向西转移。延安市植被建设成效显著,但北部植被覆盖度仍有待提高。优化植被类型和结构是未来植被建设的重要方向。