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March 21, 2026Scientific Reports2 citationsOpen Access

Methane emissions from rice paddies are regulated by carbon availability and soil pH along a mean annual temperature gradient

DYDai YusongCJCao JiaweiLHLi Huabin

Key Points

  • This research aims to understand how carbon availability and soil pH influence methane emissions from rice paddies across different climates.
  • Collected 30 flooded paddy soils from tropical to temperate regions of China.
  • Incubated soils and quantified methane emissions.
  • Analyzed the relationship between methane emissions and soil and microbial factors using structural equation modeling.
  • Cumulative methane emissions were significantly higher in tropical soils than in temperate soils.
  • Dissolved organic carbon explained 36% of the variance in emissions, while microbial biomass carbon influenced peak emissions.
  • Soil pH and mean annual temperature indirectly regulated emissions, together explaining 63% of the spatial variation.

Abstract

Rice paddies are a major anthropogenic source of atmospheric methane (CH₄), yet the spatial pattern and underlying mechanism of CH₄ emissions from rice paddies across climatic gradients remain poorly understood. We collected and incubated 30 flooded paddy soils spanning tropical to temperate regions of China, quantified CH₄ emissions and explored their soil and microbial drivers. We discovered that cumulative CH₄ emissions exhibited pronounced geographical variability, with higher emissions in tropical soils (0.18–10.75 mg kg−1) than in temperate soils (0.07–0.17 mg kg−1), and were primarily regulated by dissolved organic carbon (DOC), DOC accounted for 36.0% of the variance in cumulative CH₄ emissions. Peak CH₄ emission rates were jointly influenced by DOC and microbial biomass carbon, together they explained 24.4% of the variance in peak CH₄ emission rates. The timing of peak emissions was governed by the slow degradation of particulate organic carbon (POC), POC accounted for 13.8% of the variance in the timing of peak emissions. Structural equation modeling (SEM) further revealed that soil pH and mean annual temperature (MAT) could indirectly regulate cumulative CH₄ emissions through affecting the accumulation of labile carbon and nitrogen pool, the model explained 63% of the spatial variation in cumulative CH₄ emissions in total. The indirect effect of MAT was 0.20, and the indirect effect of soil pH was − 0.26. These results highlight the critical role of climate–soil-microbe interactions in shaping regional patterns of methane emissions from rice paddies and provide mechanistic insights for improving CH₄ emission predictions under future climate change.

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Cite This Study

Yusong et al. (2026) studied this question.

synapsesocial.com/papers/69be387d6e48c4981c678f4chttps://doi.org/10.1038/s41598-026-43940-8
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