The impact of elevated CO2 on methanogen abundance and methane emissions in terrestrial ecosystems: A meta-analysis
2024

The impact of elevated CO2 on methane emissions

Sample size: 398 publication Evidence: high

Author Information

Author(s): Ding Yiwen, Wang Mingyu, Du Xiaojuan, He Xue, Xu Tianle, Liu Xinyu, Song Fuqiang

Primary Institution: Engineering Research Center of Agricultural Microbiology Technology, Ministry of Education & Heilongjiang Provincial Key Laboratory of Ecological Restoration and Resource Utilization for Cold Region & Key Laboratory of Microbiology, College of Heilongjiang Province & School of Life Sciences, Heilongjiang University, Harbin, China

Hypothesis

eCO2 would increase the abundance of the mcrA gene and promote CH4 emissions, especially in flooded anaerobic rice ecosystems.

Conclusion

Elevated CO2 significantly increases the abundance of the mcrA gene and methane emissions, particularly in paddy fields.

Supporting Evidence

  • eCO2 significantly increased the abundance of the mcrA gene and CH4 emissions.
  • The promotion of eCO2 was only significant in paddy fields.
  • The study identified eight moderators affecting CH4 emissions under eCO2 conditions.
  • The effect of eCO2 on CH4 emissions was influenced by land use types and soil texture.

Takeaway

When there's more carbon dioxide in the air, it helps certain tiny organisms in the soil make more methane, especially in rice fields.

Methodology

A meta-analysis was conducted using 398 datasets from 59 publications to analyze the effects of elevated CO2 on methane emissions and the abundance of functional genes.

Potential Biases

The study did not find significant publication bias.

Limitations

The study could not analyze the non-significant effect of eCO2 on the pmoA gene and lacked comprehensive data on the effects of eCO2 on other ecosystems.

Participant Demographics

The study included data from 50 sample sites primarily in Asia, Europe, and North America.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI not provided

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1016/j.isci.2024.111504

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