山西沿黄 19 县生境质量时空演变特征及驱动机制.

he long-term conversion of farmland to forests has improved the ecological environment of the Yellow River Basin, and rapid urbanization has also led to serious habitat degradation. This paper integrated the ecosystem service function model （InVEST）, local spatial autocorrelation analysis （Local Moran’s I） and geographic detector （Geodetector） to explore the temporal and spatial evolution of habitat quality and its driving factors in 19 counties along the Yellow River in Shanxi Province from 2000 to 2020. The results show that a) from 2000 to 2020, the habitat quality index of 19 counties along the Yellow River in Shanxi Province is increased from 0.526 to 0.539, forming a spatial distribution pattern with low altitude and high altitude. The overall habitat quality in the north has been improved; the habitat degradation degree shows a spatial pattern of weak in the south and strong in the north, and habitat degradation in the middle and low altitude areas is increased with time. b) Local spatial autocorrelation analysis shows that both habitat quality and habitat degradation degree are LL-type agglomeration in the southern plains, and complementary in the northern HH-type agglomeration. c)Geographical detection analysis finds out that NDVI and terrain （elevation, slope） are the dominant factors affecting the habitat quality of the 19 counties along the Yellow River in Shanxi Province; NDVI and the interaction of slope are the largest in 2000 and 2010, and the interaction between NDVI and annual average temperature is the largest in 2020; the socioeconomic factors （population per unit area, GDP） and NDVI also have a strong synergistic effect. [ABSTRACT FROM AUTHOR]