Dynamics of Vegetation Greenness and Its Response to Climate Change in Xinjiang over the Past Two Decades

Climate change has proven to have a profound impact on the growth of vegetation from various points view. Understanding how changes and its response climatic shift is vital importance for describing their mutual relationships projecting future land–climate interactions. Arid areas are considered be regions that respond most strongly climate change. Xinjiang, as typical dryland in China, received great attention lately unique ecological environment. However, comprehensive studies examining driving factors across Xinjiang rare. Here, we used remote sensing datasets (MOD13A2 TerraClimate) data meteorological stations investigate trends dynamic Normalized Difference Vegetation Index (NDVI) 2000 2019 based Google Earth platform. We found increment rates growth-season mean maximum NDVI were 0.0011 per year 0.0013 year, respectively, by averaging all pixels region. The results also showed that, compared with other land use types, cropland had fastest greening rate, which was mainly distributed among northern Tianshan Mountains Southern Junggar Basin margin Tarim Basin. browning primarily spread over Ili River Valley where grasslands distributed. Moreover, there trend warming wetting past 20 years; this determined analyzing data. Through correlation analysis, contribution precipitation (R2 = 0.48) greater than temperature 0.42) throughout Xinjiang. Standardized Precipitation Evapotranspiration (SPEI) computed better between arid areas. Our could improve local management ecosystems provide insights into complex interaction