Publication | Open Access
A microbial functional group‐based module for simulating methane production and consumption: Application to an incubated permafrost soil
94
Citations
76
References
2015
Year
Carbon DioxideEngineeringPermafrost SoilMicrobial FunctionalBiogeochemical ModelEarth ScienceSoil BiochemistryOrganic GeochemistryBiogasMicrometeorologyMicrobial EcologySoil MicrobiologyEnvironmental MicrobiologySoil OrganismBiogeochemistryMicrobial ConsortiaCh 4Soil Biogeochemical CyclingAcetic AcidSoil Carbon CycleSoil Carbon SequestrationMicrobiologyBiogeochemical ProcessMedicineMethane Production
Abstract Accurately estimating methane (CH 4 ) flux in terrestrial ecosystems is critically important for investigating and predicting biogeochemistry‐climate feedbacks. Improved simulations of CH 4 flux require explicit representations of the microbial processes that account for CH 4 dynamics. A microbial functional group‐based module was developed, building on the decomposition subroutine of the Community Land Model 4.5 . This module considers four key mechanisms for CH 4 production and consumption: methanogenesis from acetate or from single‐carbon compounds and CH 4 oxidation using molecular oxygen or other inorganic electron acceptors. Four microbial functional groups perform these processes: acetoclastic methanogens, hydrogenotrophic methanogens, aerobic methanotrophs, and anaerobic methanotrophs. This module was used to simulate dynamics of carbon dioxide (CO 2 ) and CH 4 concentrations from an incubation experiment with permafrost soils. The results show that the model captures the dynamics of CO 2 and CH 4 concentrations in microcosms with top soils, mineral layer soils, and permafrost soils under natural and saturated moisture conditions and three temperature conditions of −2°C, 3°C, and 5°C ( R 2 > 0.67; P < 0.001). The biases for modeled results are less than 30% across the soil samples and moisture and temperature conditions. Sensitivity analysis confirmed the importance of acetic acid's direct contribution as substrate and indirect effects through pH feedback on CO 2 and CH 4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH 4 production and consumption; it is urgent to incorporate microbial mechanisms into Earth system models for better predicting trace gas dynamics and the behavior of the climate system.
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