A Study on the Spatiotemporal Differentiation Characteristics of Population Changes and Vegetation Cover Evolution in Qilian Mountain National Park and Related Areas under the Context of Climate Change
Under the background of global climate change,population changes in national parks can cause certain disturbances to the ecological environment.Current research lacks discussion on the mechanisms of vegetation cover evolution in relation to climate factors and population changes in national parks and their surrounding areas.Using Qilian Mountain National Park and its surrounding region as an example,this study explains the spatiotemporal evolution mechanisms of relevant variables through pixel classification and trend analysis.A long-term raster sequence and second-order partial correlation analysis were used to verify the significant correlations between precipitation,temperature,and population changes with vegetation cover.The results show that during the period from 2012 to 2022:1)The proportion of pixels for each variable in the study area remained relatively stable.There were fluctuations in the areas with no vegetation and sparse vegetation.The arid regions in terms of precipitation saw significant fluctuations in 2019,while temperature changes were generally stable.In terms of population,the proportion of uninhabited areas gradually increased;2)The changes in vegetation cover,precipitation,and population distribution exhibited a spatial pattern of"high in the southeast,low in the northwest".Temperature changes showed a more complex distribution of high and low clusters along the mainline of the controlled area within the study region;3)Vegetation cover was significantly correlated with precipitation,temperature,and population distribution mainly in the southeastern and northwestern areas,with weaker correlations in other areas.Based on the comprehensive research findings,it is recommended that future national park management should coordinate population changes to precisely ensure sustainable ecological development in relevant areas.
万方数据
维普
