Evidence map›Paper›PMID 41390686›Full record

ArticleNature communications2025

Widespread land surface cooling from paddy rice cultivation revealed by global satellite mapping.

Wei Weng, Jingfeng Huang, Chao Yue, Zhenhao Lyu, Yuanjun Xiao, Shengcheng Li, Ran Huang, Dailiang Peng, Chao Huang, Florent Bigirimana and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

12 authors.

Wei WengState Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, China.ORCID http://orcid.org/0009-0006-1830-6544
Jingfeng HuangState Key Laboratory of Soil Pollution Control and Safety, Zhejiang University, Hangzhou, China. hjf@zju.edu.cn.ORCID http://orcid.org/0000-0003-4627-6021
Chao YueCollege of Natural Resources and Environment, Northwest A&F University, Yangling, China.ORCID http://orcid.org/0000-0003-0026-237X
Zhenhao LyuInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China.
Yuanjun XiaoInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China.
Shengcheng LiInstitute of Applied Remote Sensing and Information Technology, Zhejiang University, Hangzhou, China.
Ran HuangSchool of Automation, Xiasha Higher Education Zone, Hangzhou Dianzi University, Hangzhou, China.
Dailiang PengKey Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
Chao HuangKey Laboratory of National Forestry and Grassland Administration on Forest Ecosystem Protection and Restoration of Poyang Lake Watershed, College of Forestry, Jiangxi Agricultural University, Nanchang, China.
Florent BigirimanaNational Institute of Statistics of Rwanda, Kigali, Rwanda.
Li LiuCollege of Computer and Information Technology, China Three Gorges University, Yichang, Hubei, China.
Weiwei LiuDepartment of Geography and Spatial Information Techniques, Ningbo University, Ningbo, China.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2023YFD2300300National Natural Science Foundation of China (National Science Foundation of China) 42171314
6 · The paper itself

Abstract

Paddy rice exacerbates climate warming through greenhouse gas emissions but also cools the land surface by enhancing evapotranspiration. While the former effect has received extensive attention, the biophysical cooling effect remains poorly quantified, partly due to the lack of high-quality global paddy rice data. Here, we address this gap by developing a universal rice mapping framework that integrates the strengths of phenology-based and curve-matching methods to construct the global, long-term rice dataset (GlobalRice500) with daily temporal and 500 m spatial resolution. Our analysis reveals that paddy fields annually reduce daytime land surface temperature by 0.21 (

Identifiers

PMID41390686
PMCPMC12827299

What OpenQuestion holds

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Registered trials

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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.