黄河流域生境质量时空演变及其影响因素

黄河流域是中国重要的生态区域，探究该流域生物多样性时空变化特征对区域生态保护修复具有重要意义。运用InVEST模型评估黄河流域2000—2018年生境质量并结合空间自相关模型探究其时空变化及分布特征，利用地理探测器单因子探测和交互探测方法分析生境质量空间分异特征的驱动因子。结果表明：2000—2018年，黄河流域平均生境质量指数为0.631，整体呈现小幅下降趋势，下降幅度为0.16%，在空间上表现出西高东低的分布特征；黄河流域生境质量在空间上表现高度正相关特征，表现为生境质量相似值在空间上集聚，生境质量低值区域集中在黄河流域下游、关中平原以及汾河谷地区，生境质量高值区域集中在黄河上游青藏高原地区；土地利用/覆被是生境质量空间分异最重要的驱动因子，q值为0.5560，而且任何两种驱动因子对生境质量空间分异的交互作用都要大于单个驱动因子的作用，土地利用/覆被与气温、海拔、降雨量、坡度以及NDVI的交互因子均大于0.5。

Spatial-temporal evolution of habitat quality and its influencing factors in the Yellow River Basin based on InVEST model and GeoDetector

The Yellow River Basin is an important ecological region in China， and it is of great significance to explore the spatio-temporal variation characteristics of biodiversity in this basin for regional ecological protection and restoration. In this study， the InVEST model is used to evaluate the habitat quality of the Yellow River Basin from 2000 to 2018， combined with the spatial autocorrelation model to explore its temporal and spatial changes characteristics. The driving factors of spatial differentiation characteristics of habitat quality are analyzed by using the single factor detection and interactive detection methods of geographic detectors. The results show that： from 2000 to 2018， the average habitat quality index of the Yellow River Basin was 0.631， with a decline rate of 0.16%， and the habitat quality index was high in the west and low in the east. The habitat quality index of the Yellow River Basin exhibits a highly positive spatial correlation characteristic， which shows that the similar values of habitat quality gather in space. The low-value areas of habitat quality are mainly concentrated in the lower reaches of the Yellow River Basin， Guanzhong Plain and Fenhe Valley， while the high-value areas of habitat quality are mainly concentrated in the Qinghai-Tibet Plateau in the upper reaches of the Yellow River. Land use cover type is the most important driving factor for the spatial differentiation of habitat quality， with q value of 0.5560. Moreover， the interaction between any two driving factors on spatial differentiation of habitat quality is greater than that of one driving factor alone， and the interaction factors between land use cover types and temperature， elevation， rainfall， slope and NDVI are all greater than 0.5.