Evidence map›Paper›PMID 41851297›Full record

ArticleScientific reports2026

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

Dai Yusong, Cao Jiawei, Li Huabin, Hu Jinli, Liu Guangcheng, Su Ronglin, Wu Xian, Wang Yan, Hu Ronggui

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dai YusongCollege of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, The People's Republic of China.
Cao JiaweiCollege of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, The People's Republic of China.
Li HuabinCollege of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, The People's Republic of China.
Hu JinliKey Laboratory of Green Utilization of Critical Non-metallic Mineral Resources, Ministry of Education, Wuhan University of Technology, Wuhan, 430070, The People's Republic of China.
Liu GuangchengCollege of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, The People's Republic of China.
Su RonglinSchool of Life Sciences, Fudan University, Shanghai, 200438, The People's Republic of China.
Wu XianState Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, 210008, The People's Republic of China.
Wang YanCollege of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, The People's Republic of China.
Hu RongguiCollege of Resources and Environment, Huazhong Agricultural University, No. 1 Shizishan Street, Hongshan District, Wuhan, 430070, Hubei, The People's Republic of China. rghu@mail.hzau.edu.cn.

Funding

Hubei Technological Innovation Special Fund 2021BCA156
6 · The paper itself

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.

Indexed as

Climate–soil interactionsMethane emissionPaddy soilRice fieldSoil organic carbon fractions

Identifiers

PMID41851297
PMCPMC13136294

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.