Spatiotemporal variation of correlation between vegetation cover and precipitation in an arid mountain-oasis river basin in northwest China

Abstract Water resources are essential for survival of both the ecosystem and human society in arid regions. The impact of precipitation on vegetation cover, especially in arid and semiarid areas, has received increasing interest. Although correlation between precipitation and vegetation cover has been reported in arid and semi-arid areas (with annual precipitation from 50 to 200 mm and from 200 to 400 mm, respectively), it is unclear whether the same correlation holds in extremely arid regions (with annual precipitation less than 50 mm). This study used remote sensing data of precipitation and normalized difference vegetation index (NDVI) to investigate their correlation at different temporal and spatial scales in a typical arid mountain-oasis river system located in northwest China. The results showed that precipitation and NDVI are not evenly distributed in space. In the period 1999–2007, precipitation was declining at a rate of 1.1785 mm/year, while during 2008–2015, it has increased at a rate of 2.0516 mm/year. NDVI showed no significant temporal trend in most areas (trend slope = 0.001, Significance > 0.05), except for a slight increase in regions where cropland expanded. The Pearson correlation coefficient between the time series of spatial mean precipitation and NDVI over the whole study area was 0.46 (Significance