Global rice methane emissions tripled over six decades amid declining emission intensity

Clicks: 21
ID: 327287
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #151 of 416 articles by views in national science review

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 416 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Rice paddies are among the largest anthropogenic sources of methane (CH4), yet substantial uncertainties persist in the long-term magnitude and spatiotemporal dynamics of the emissions. Here we show a spatially explicit global estimate of rice CH4 emissions from 1961 to 2020, leveraging a new high-resolution dataset and two Tier 3 modeling approaches (process-based and machine-learning-based). We find that global emissions have more than tripled over the past six decades, reaching a record high of 38.8 Tg CH4 yr−1 in 2020 based on the mean of the two Tier 3 estimates, both the rate and magnitude are substantially higher than conventional emission-factor-based inventories. Traditional rice-producing regions (e.g. Asia) dominated the increase due to expanded cultivation and intensified organic inputs, while Africa emerged as a rapidly growing source. Beyond trends in absolute emissions, the CH4 emission intensity (per unit of rice yield) declined across 70% of the global paddy area, mainly reflecting yield-driven efficiency gains. Notably, 44% of global rice production in the 2010 s occurs in countries with below-average emission intensity, with China being the largest contributor. By resolving long-term spatial heterogeneity with new data and models, this study provides a robust reassessment of the global rice methane budget and highlights pathways to reconcile food production with climate mitigation.
Reference Key
openalex_W7204633036 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal national science review
Year 2026
DOI
10.1093/nsr/nwag555
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.