Abstract:

The experiment was conducted to clarify the ecological function zones of the Kuye River basin,analyze potential ecological and environmental issues within the area,which would provide a scientific basis for the industrial layout,ecological environment protection,and construction planning of the basin. The sub-basin division of the Kuye River was conducted with the catchment area threshold (the minimum catchment area required for river formation). By using GS+ software and ArcGIS software to overlay data layers,spatial autocorrelation analysis was conducted on elevation,precipitation,and river network density data to determine the dominant factors of primary ecological function zones,and combine them with sub-watershed boundaries to delineate primary ecological function zones. On this basis,we selected sub-watersheds with the same land use type,integrated ecological sensitivity and the soil erodibility factor value,and further precisely delineated the boundaries of secondary ecological function zones. The results indicate that the altitude of the Kuye River Basin gradually decreases from north to south,the average annual precipitation,river network density,and average slope gradually increase,the spatial distribution characteristics of ecological sensitivity and soil erodibility factor are low in the north and high in the south,and high in the north and low in the south,respectively. Therefore,it is divided from north to south into Zone A in the northern plateau arid area,Zone B in the central mountain catchment area,and Zone C in the southern mountain catchment area. From the primary division,12 secondary ecological function zones are delineated,including 1 protected area and 1 demonstration area,6 restoration areas,and 4 management areas. The zoning results can clarify the main ecological and environmental issues of different areas and provide reference significance for the sustainable development of the basin.

Key words: ecological function zoning, spatial autocorrelation distance, ecological sensitivity, spatial analysis, Kuye River Basin