Vegetation Cover Change in Ugam Chatkal National Park, Uzbekistan, in Relation to Climate Variables During the Post-Soviet Period (1991-2022)


  • Bokhir Alikhanov Research Institute of Environment and Nature Conservation Technologies, Ministry of Ecology, Environmental protection and Climate change, 100043
  • Bakhtiyor Pulatov Research Institute of Environment and Nature Conservation Technologies, Ministry of Ecology, Environmental protection and Climate change, 100043
  • Luqmon Samiev Research Institute of Environment and Nature Conservation Technologies, Ministry of Ecology, Environmental protection and Climate change, 100043. Tashkent Institute of Irrigation and Agricultural Mechanisation Engineers, National Research University, Tashkent, 100000.



NDVI, SAVI, Climate change, Uzbekistan, Boʻstonliq


This paper presents a comprehensive study relating to the vegetation cover change in Ugam Chatkal National Park (Uzbekistan) and its relation to climate change during the post-Soviet period (1991-2022). The study utilises remote sensing technology, specifically the Normalised Difference Vegetation Index (NDVI) and the Soil Adjusted Vegetation Index (SAVI), to monitor spatiotemporal changes in vegetation. Landsat satellite imagery and meteorological data, including temperature and precipitation records form the basis of the analysis. The research aims to understand the impact of climatic factors, such as air temperature, soil temperature, and precipitation on vegetation cover. Statistical methods, such as Pearson's correlation analysis, are employed to determine the strength and direction of relationships between these variables. The study reveals that both NDVI and SAVI are strongly correlated with air and soil temperatures, indicating the significant influence of these climatic factors on vegetation health and growth. The findings suggest that changes in vegetation cover in the Ugam Chatkal National Park are closely tied to climate change, with air temperature revealing a substantial correlation with time, indicating a trend toward increasing temperatures. The study also forecasts future climatic and vegetation trends, predicting an increase in air temperature, precipitation, and vegetation cover over the next four decades. In particular, the research highlights the magnitude of monitoring and understanding the complex interactions between climate change and vegetation dynamics, which are crucial for environmental management and regional policy-making.


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