A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil

Xiaofeng Xu, Dwayne A. Elias, David E. Graham, Tommy J. Phelps, Sue L. Carroll, Stan D. Wullschleger, Peter E. Thornton

Research output: Contribution to journalArticlepeer-review

56 Scopus citations

Abstract

Accurately estimating methane (CH4) flux in terrestrial ecosystems is critically important for investigating and predicting biogeochemistry-climate feedbacks. Improved simulations of CH4 flux require explicit representations of the microbial processes that account for CH4 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 CH4 production and consumption: methanogenesis from acetate or from single-carbon compounds and CH4 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 (CO2) and CH4 concentrations from an incubation experiment with permafrost soils. The results show that the model captures the dynamics of CO2 and CH4 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 (R2>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 CO2 and CH4 production and consumption. This study suggests that representing the microbial mechanisms is critical for modeling CH4 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.

Original languageEnglish
Pages (from-to)1315-1333
Number of pages19
JournalJournal of Geophysical Research: Biogeosciences
Volume120
Issue number7
DOIs
StatePublished - Jul 1 2015

Keywords

  • carbon dioxide
  • methane
  • methanogen
  • methanotroph
  • microbial functional group

Fingerprint

Dive into the research topics of 'A microbial functional group-based module for simulating methane production and consumption: Application to an incubated permafrost soil'. Together they form a unique fingerprint.

Cite this