[Spatial-temporal differentiation and driving factors of vegetation coverage in Ningxia Helan Mountain based on geodetector].

Monitoring the regional changes in vegetation coverage and analyzing its driving factors are beneficial to realizing the sustainable development of ecological environment. Based on Landsat 5/8 remote sensing images from 1989 to 2021, vegetation coverage of Helan Mountain in Ningxia was estimated by pixel dichotomy model. In addition, the influence of 10 factors, including environmental factors and human factors, on the spatial-temporal variations of vegetation coverage was quantified by geodetector. The results showed that average vegetation coverage was 35.8% in the study area from 1989 to 2021. On the temporal scale, it showed an increasing trend, with an average increasing rate of 0.043·(10 a)-1. On the spatial scale, vegetation coverage presented a distribution characteristic of decreasing from southwest to northeast. 58.1% of vegetation coverage in the study area would continue to improve in the future, but 30.7% of vegetation would have the potential risk of degradation. Precipitation was the dominant environmental factor driving the distribution of vegetation. Compared with single factor, the interaction between environmental factors and human factors had a stronger impact on vegetation coverage, while the interaction between precipitation and other factors played a leading role.监测区域植被覆盖变化并分析其驱动因子,有利于实现生态环境的可持续发展。本研究以1989—2021年Landsat 5/8遥感影像为数据源,利用像元二分模型获取宁夏贺兰山植被覆盖度,基于地理探测器量化了环境和人为等10个因子对其时空分布的影响。结果表明: 1989—2021年间,宁夏贺兰山平均植被覆盖度为35.8%,时间尺度上总体呈增加趋势,平均增幅为0.043·(10 a)-1,空间尺度上呈现从西南向东北递减的分布特征;研究区58.1%的区域植被覆盖度未来将持续性改善,但仍有30.7%的植被存在退化的潜在风险。降水是影响植被分布的主要环境因子,与单因子相比,环境因子和人为因子的交互作用对植被覆盖度的解释力更强,降水与其他因子的交互作用处于主导作用。.