An Automated Laboratory Method for Measuring CO2 Emissions from Soils

Autor: Eric B. McGowen, Sumit Sharma, Shiping Deng, Hailin Zhang, Jason G. Warren
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Agricultural & Environmental Letters, Vol 3, Iss 1 (2018)
Druh dokumentu: article
ISSN: 2471-9625
DOI: 10.2134/ael2018.02.0008
Popis: A gas chromatography (GC) headspace method was developed for soil microbial respiration (CO emission) analysis after a 24-h incubation of a rewetted soil. The GC method was compared with the Solvita CO burst method by analyzing 18 different soils that were air-dried (22°C) or dried at 45, 65, and 105°C for 24 h before rewetting. A strong exponential relationship between the Solvita color number and GC headspace CO–C emission was observed. Compared with air-dried soils, drying at 65°C led to increased CO emission and reduced variation among sample replicates, while drying at 105°C led to a reduction in CO emission and an increase in variability. The GC method does not require sample dilution, provides data that is highly correlated to the Solvita method, and has a wider dynamic test range than the Solvita method. The developed GC method could be adapted to automation for commercial laboratory use.
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