Temporal and spatial changes of vegetation cover and its driving forces in the Hexi inland river basin from 2000 to 2020
The Hexi inland river basin is located in arid and semi-arid regions with fragile ecosystems,and there is significant importance in studying the dynamic changes in vegetation cover and its driving factors for under-standing the interaction between vegetation and ecosystems.This study uses the mean NDVI during the growing season as the vegetation cover index,employs slope trend analysis and coefficient of variation to analyze the changes in vegetation cover in the Hexi inland river basin from 2000 to 2020,and explores the effects of natural and anthropogenic factors on the spatial differentiation of vegetation using the Geodetector model.The results in-dicate that:(1)During 2000-2020,the vegetation cover in the Hexi inland river basin exhibited a generally ris-ing trend with fluctuations,having a growth rate of 0.001·a-1,characterized by a spatial distribution of lower in the northwest and higher in the southeast,decreasing from east to west.(2)Between 2000 and 2020,in most parts of the basin,the vegetation cover remained relatively constant.The areas with increased vegetation cover constituted 35.27%and those with decreased cover constituted 10.91%.(3)The Hexi inland river basin exhibits strong spatiotemporal variability in vegetation cover,with the coefficient of variation ranging from 0.011 to 1.530.The majority of regions demonstrate high stability,with low stability areas primarily focused in the mid-dle and upper reaches of the basin.(4)Natural factors play a leading role,with substantial impacts from evapo-transpiration,vegetation types,precipitation,and soil types.Among human factors,land use type emerges as a primary influencer.Revealing the long-term vegetation evolution patterns and characteristics in the Hexi inland river basin offers valuable insights for ecological preservation and soil and water conservation in the region.
Hexi inland river basinvegetation covergeodetectordriving factorsspatiotemporal variation