Data set of comprehensive observation system for carbon dioxide isotopes during soil biochemistry process: multichannel measurement system for soil microbial CO2 and δ13C fluxes that can automatically control and change the temperature (2019-2020)

Data set of comprehensive observation system for carbon dioxide isotopes during soil biochemistry process: multichannel measurement system for soil microbial CO2 and δ13C fluxes that can automatically control and change the temperature (2019-2020)


Soil respiration is the second most important carbon flux, which is only lower than that of photosynthesis in terrestrial ecosystems. The production and transport of CO2 and its δ13C by soil biochemical processes are the limiting factors for the magnitude and process evaluation of soil respiration. According to the characteristics of CO2 gas generation and transportation in soil biochemical process, based on stable isotope infrared spectroscopy technology, the nonlinear on-line calibration technology, multi-channel double-cycle efficient gas circulation path, efficient gas circulation path with pre-reduced gas concentration, and variable temperature technology that can simulate the freezing and thawing process were independently developed. On account of the gas exchange process in soil and air interface, vertical migration process of CO2 in soil profile and the process of soil organic matter decomposition, we develop a comprehensive observation system for measuring the isotope composition of carbon dioxide during soil biochemistry processes. The observation systems were placed in the ecologically fragile areas and measured the concentration and flux of soil CO2 and its δ13C, which effectively solved the comprehensive monitoring problem in generation, migration and release of CO2 during soil biochemical process.

This research developed a multichannel measurement system for soil microbial CO2 and δ13C fluxes that can automatically control and change the temperature. We develop a fully automatic temperature control and measurement system that can simulate the freeze-thaw process. The instrument can adjust the temperature in a culture flask under established procedures and meet the experimental requirements of simulating complex processes during the decomposition of soil organic matter. The temperature control range of the system is -5~35 oC, the temperature control accuracy is better than 0.23 oC, the temperature change rate is 1.06 oC /2 min (0~35 oC) and 0.70 oC /2 min (-5~0 oC), at least 16 channels of culture flask and 3 channels of gas can be controlled simultaneously, which achieve (or better) than the core technical indicators of the project requirements.

Soil samples collected in the field were placed in 16 sample bottles, respectively. Based on the multichannel measurement system for soil microbial CO2 and δ13C fluxes, the soil respired CO2 and δ13C data were obtained during the warming and cooling processes from -5℃ to 35℃. Data processing usually begins from the instrument performance parameters for judging data quality first, then the measured CO2 concentration and δ13C were corrected with standard gas. The slope of air humidity, temperature, atmospheric pressure and flux calculation was quality-controlled to eliminate abnormal data. Then the high quality data was obtained and the flux is used to calculate the formula to calculate the CO2 and δ13C flux.

The average domestication rate of the equipments is more than 80%, which has been used in the automatic monitoring of forest, grassland and farmland ecosystems, realizing the independent innovation and upgrading of ecological monitoring technology in China, and can be extended to CERN, CFERN, CNERN and similar field stations in other related departments. It is helpful to greatly improve China's R&D capability, level and international influence on ecological monitoring and assessment, effectively support China's terrestrial ecosystem carbon sequestration rate and potential assessment and certification, and provide technical support for national ecological civilization construction, carbon peak, carbon neutrality and ecological security regulation.


File naming and required software

1. Document name: data of multichannel measurement system for soil microbial CO2 and δ13C fluxes that can automatically control and change the temperature is stored in text format. The name of the file is "yyyyddd. TXT", where yyyy represents year and DDD represents Julian date. For example, 202001.txt represents this ASCII file, which describes soil respiration and CO2 on the first day of 2020 δ 13C status.
2. Usage: three methods are usually used to judge the data quality: 1) instrument performance parameters (analyzer chamber temperature and pressure, etc.) are judged by whether the measured parameters are within the theoretical value range required by the analyzer; 2) Standard gas correction (CO2 concentration and δ 13C), we used 3 bottles of known concentrations and δ For the standard gas with 13C value, the measured CO2 concentration and δ 13C, and judge whether the mean value of the measured value is within the theoretical value range; 3) Calibration of sample gas using 3 bottles of known concentration and δ The sample gas is corrected with the standard gas of 13C value, and then the air humidity, air temperature, atmospheric pressure and the slope of flux calculation are controlled respectively to eliminate abnormal data.


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Sun, X. (2021). Data set of comprehensive observation system for carbon dioxide isotopes during soil biochemistry process: multichannel measurement system for soil microbial CO2 and δ13C fluxes that can automatically control and change the temperature (2019-2020). National Tibetan Plateau Data Center, DOI: 10.11888/Soil.tpdc.271821. CSTR: 18406.11.Soil.tpdc.271821. (Download the reference: RIS | Bibtex )

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Innovative development of equipments and internet-of-things techniques for ecosystem monitoring and its demonstration (No:2016YFC0500100)

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Geographic coverage
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  • Temporal resolution: Hourly
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  • Temporal coverage: 2019-11-09 To 2020-01-07
  • Updated time: 2021-11-17
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: SUN Xiaomin  

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Email: data@itpcas.ac.cn

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