%0 Journal Article
%T [Spatiotemporal variation and driving factors of vegetation coverage in Shanxi Province, China].
%A Jia YY
%A Qi XX
%A Huang R
%A Zhou Y
%J Ying Yong Sheng Tai Xue Bao
%V 35
%N 4
%D 2024 Apr 18
%M 38884242
暂无%R 10.13287/j.1001-9332.202403.023
%X Understanding the spatiotemporal variations and driving factors of regional vegetation coverage is crucial for developing scientific plans for ecological environment protection and maintaining regional ecological balance. Based on the Google Earth Engine (GEE) platform and using Landsat Collection 2 data, we investigated the spatiotemporal variation and driving factors of vegetation coverage in Shanxi Province, China, from 1990 to 2020, by employing methods such as pixel-based binary model, trend analysis, zonal statistics, and geodetector. The results showed that vegetation coverage in Shanxi Province showed a fluctuating upward trend from 1990 to 2020. Vegetation coverage in 44.4% of this region had been significantly improved, and the area with significant degradation accounted for 7.4%. Vegetation coverage in Shanxi Province was positively correlated with elevation, slope, and mountain terrain relief. The area proportion of vegetation coverage growth was the highest in the plateau and hilly regions. Factor detection results showed that land use type, landform type, annual average precipitation, and soil type were the main influencing factors of the spatial differentiation of vegetation coverage in Shanxi Province. Results of the interaction detection showed that the interaction between driving factors all showed enhancement. The interaction between natural factors showed a downward trend, while the interaction results of social factors showed an upward trend, reflecting that the impacts of human activities on vegetation coverage in Shanxi Province were gradually increasing.<BR>探究区域植被覆盖度的时空变化特征及其驱动因子,对于科学制定区域生态环境保护方案、维护区域生态平衡具有重要指导意义。本研究基于Google Earth Engine(GEE)平台,使用Landsat Collection 2数据,结合自然和社会经济数据,借助像元二分模型、趋势分析、分区统计和地理探测器等方法,探究山西省1990—2020年间植被覆盖度时空变化特征及其驱动因子。结果表明: 1990—2020年,山西省植被覆盖度呈波动上升趋势,44.4%区域的植被覆盖得到显著改善,显著退化区域占7.4%。山西省植被覆盖度与高程、坡度和山地地势起伏呈正相关。台地和丘陵地区植被覆盖度增长面积比例最高。因子探测结果表明,土地利用类型、地貌类型、年平均降水量、土壤类型是山西省植被覆盖空间分异的主要影响因素。交互探测发现,驱动因子间的交互作用均表现为增强。研究期间,自然因子间的交互结果呈下降趋势,而社会因子间的交互结果呈增强趋势,反映出人类活动对山西省植被覆盖的影响逐步增大。.