Abstract

Carbon dioxide (CO2) concentration is the most important greenhouse gas in the atmosphere that significantly contributes to global warming. It is important to determine the yearly trend that contributes to the reduction of CO2. In this study, we considered the monthly average of the CO2 concentration in the atmosphere of Mongolia and calculated the correlation coefficient as a function of ‘MODIS’ ‘NDVI’, air temperature, and wind speed. As shown in the results of a study the annual trend of CO2 concentrations was inversely related to ‘NDVI’ (R=-0.87, p<0.001) and temperature (R=-0.67, p<0.05), whereas directly related to wind speed (R=0.91, p<0.001). CO2 concentration has seasonal fluctuations, while vegetation cover plays an important role in the emission and absorption of natural carbon, and is the main factor in the seasonal fluctuations of terrestrial CO2. Furthermore, we calculated the Tayle-Sen slope, CO2 concentration (Q=2.31 ppm/year, p<0.001), ‘NDVI’ (Q=0.002 units/year, p<0.05), air temperature (Q=0.1°C/year, p<0.01) and wind speed (Q=0.01m/s/year, p>0.05) have increased over the last 11 years. However, compared to the p-value, the temperature is not higher than the CO2 concentration. CO2 concentration has increased throughout all seasons. ‘NDVI’ was less significantly comparable to CO2 and temperature, while wind speed was increased but it is not significantly. This increase in CO2 concentration affects spring temperatures and allows plants to start growing earlier. As a result, ‘NDVI’ values increased significantly in the spring season during the study period.

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