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Updated: May 17, 2026

Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
Published on: January 7, 2019
Wildfire-Altered Soil Water-Extractable Organic Matter Drives Divergent Greenhouse Gas Emissions in Anaerobic
Longyi Ran1, Yixuan Mao1, Baoju He1
1College of Environment and Ecology, Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China.
Abstract:
Intensifying global climate change has increased wildfire frequency. Wildfire-altered soil water-extractable organic matter (burned-WEOM) is hydrologically transported to unburned areas, profoundly affecting cross-ecosystem carbon-nitrogen cycling and greenhouse gas (GHG) emissions. Taking soils from unburned subtropical forests as the research object, this study combined anaerobic incubation with high-resolution mass spectrometry and metagenomic sequencing to elucidate the regulatory mechanisms of burned-WEOM on soil GHG emissions under anaerobic conditions. The results showed that burned-WEOM increased CO2 emissions by 17.0%, induced a 164.6% surge in N2O emissions, and simultaneously inhibited CH4 emissions by 52.9%. With unique properties of high unsaturation and strong electron exchange capacity, burned-WEOM not only reshapes soil organic matter composition but also drives differential GHG emissions by enhancing complete carbon fixation pathways and recalcitrant carbon decomposition, increasing the abundance of anaerobic methane oxidation (AMO) genes and methanotrophs, enriching denitrifying microorganisms (especially fungi), and boosting N2O-generating gene activity without altering the reduction pathway. Moreover, WEOM molecular characteristics drive differences in GHG emissions: CH4 is mainly fueled by reduced, unsaturated lipid-like compounds, N2O is associated with nitrogen-rich, complex aromatic compounds, and CO2 has a broader range of source substrates. This study provides insights that may improve mechanistic understanding of postfire GHG dynamics and inform process representations in climate models.
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