The desert ecosystems that occupy vast areas of the world slowly absorb a large amount of CO2 from the atmosphere and have important carbon sequestration capabilities, but they have been neglected for a long time due to lack of monitoring, missing data, and insufficient attention. At present, most terrestrial ecosystem carbon sequestration assessments exclude desert areas, resulting in many assessment results showing deserts as a "gray area" without data, which restricts the completeness and accuracy of global carbon balance assessments. To this end, based on multi-source data, an empirical estimation scheme for CO2 flux was established within the internal processes and driving mechanisms of desert quicksand carbon sinks, and the carbon sequestration capacity of the quicksand area in the hinterland of the Taklamakan Desert was estimated. The dataset contains CO2 flux data covering the entire Taklamakan Desert quicksand area in China from 2000 to 2022. This dataset can be used to accurately assess the carbon sequestration potential of deserts and their precise contribution to the carbon cycle, and enhance a comprehensive understanding of carbon sequestration mechanisms in desert areas.
The data required for the research includes ERA5 soil temperature and soil moisture data (2000-2022), Tazhong Station CO2 flux data (2004-2017), and Tazhong Station soil temperature and soil moisture data (2004-2021). Based on the above data, an empirical estimation scheme for CO2 flux was established using the internal processes and driving mechanisms of desert quicksand carbon sinks, and a CO2 flux dataset (2000-2022) for the Taklamakan Desert quicksand region was constructed.
This dataset is established through an empirical estimation scheme for CO2 flux based on the internal processes and driving mechanisms of the Taklamakan Desert sediment carbon sink, combined with ERA5 reanalysis soil temperature and humidity data released by the European Centre for Medium Range Weather Forecasts and soil properties (soil organic carbon and pH) data obtained from large-scale field sampling.
The dataset has a time resolution of hours and a spatial resolution of 0.25 °, with data units of g m-2 s-1
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CSTR:11738.11.NCDC.IDM.DB6928.2025
10.12072/ncdc.idm.db6928.2025