Te Terigelehu, Bagan Hasi, Che Meihui, Hou Xinyan, Uudus Bayarsaikhan
School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
School of Environmental and Geographical Sciences, Shanghai Normal University, Shanghai, 200234, China.
Environ Res. 2023 Nov 1;236(Pt 1):116796. doi: 10.1016/j.envres.2023.116796. Epub 2023 Jul 29.
We investigate the spatiotemporal variability of near-surface CO concentrations in Mongolia from 2010 to 2019 and the factors affecting it over four climate zones of Mongolia based on the Köppen-Geiger climate classification system, including arid desert climate (BWh), arid steppe climate (BSk), dry climate (Dw), and polar frost climate (ET). Initially, we validate the near-surface CO datasets obtained from the Greenhouse Gases Observing Satellite (GOSAT) using ground-based CO observations obtained from the World Data Center for Greenhouse Gases (WDCGG) and found good agreement. The results showed that CO concentrations over Mongolia steadily increased from 389.48 ppmv in 2010 to 409.72 ppmv in 2019, with an annual growth rate of 2.24 ppmv/year. Spatially, the southeastern Gobi desert region has the highest annual average CO concentration, while the northwestern Alpine and Meadow steppe region exhibits the most significant growth rate. Additionally, significant monthly and seasonal variations were observed in each climate zone, with CO levels decreasing to a minimum in summer and reaching a maximum in spring. Furthermore, our findings revealed a negative correlation between CO concentrations and vegetation parameters (NDVI, GPP, and LAI) during summer when photosynthesis is at its peak, while a positive correlation was observed during spring and autumn when the capacity for carbon sequestration is lower. Understanding CO concentrations in different climate zones and the uptake capacity of vegetation may help improve estimates of carbon sequestration in ecosystems such as deserts, steppes and forests.