Study on soil organic carbon storage in natural grasslands of the Zhangye region based on the daycent model
[Objective]This study aimed to localizethe parameters of the Daycent model to simulate soil organic carbon stock in natural grassland in Zhangye area. The goal was to investigate the spatial distribution and influencing factors of SOC stock in this region.[Method]The Daycent model,a daily time-step version of the CENTURY model,was used to simulate the spatial distribution of soil organic carbon storage in natural grasslands in Zhangye area from 1979 to 2020.The simulation was based on daily value meteorological data from local weather stations,soil data and fieldmeasurements takenin June and July 2022. The localized model was usedto analyze the influencing fac-tors[Result]The spatial distribution of soil organic carbon stock followed a pattern of "high in the east and west,low in the middle",with the trends intotal soil organic carbon stock and chronic soil organic carbon stock being similar. In June 2022,the highest soil organic carbon was observed in Su 'nan Yugur autonomous county,at 36.181 kg/m2,whilethe lowestwas in Shandan County,at 4.661 kg/m2. Elevation was found to align with the distribution of soil or-ganic carbon stocks in natural grasslands,whilecorrelations between soil physicochemical properties and soil organic carbon stocks were generally low. Positive correlations were found between precipitation and soil organic carbon,whereas temperature had a negative correlation with soil organic carbon.[Conclusion]The Daycent model effectively simulated soil organic carbon stock in Zhangye's natural grasslands and demonstrated high adaptability. Soil organic carbon in Zhangye is influenced by various factors,with the chronic soil organic carbon pool having the greatest im-pact. Understanding the distribution of soil organic carbon can inform future management practices for natural grass-land carbon sinks in Zhangye.
Zhangye districtsoil organic carbonstoragedaycent modelspace distribution
万方数据
维普
