Evidence map›Paper›PMID 39885171›Full record

ArticleScientific data2025

GloRice, a global rice database (v1.0): I. Gridded paddy rice annual distribution from 1961 to 2021.

Hanzhi Xie, Jingxian Li, Tingting Li, Xinqing Lu, Qiwen Hu, Zhangcai Qin

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Linking NMicroorganisms · 2025
    Article
  4. Article
  5. Review
  6. Article
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  8. Review
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

6 authors.

Hanzhi XieSchool of Atmospheric Sciences, Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Neutrality, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China.ORCID http://orcid.org/0009-0008-3696-1686
Jingxian LiSchool of Atmospheric Sciences, Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Neutrality, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China.
Tingting LiKey Laboratory of Atmospheric Environment and Extreme Meteorology, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, China.
Xinqing LuSchool of Atmospheric Sciences, Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Neutrality, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China.
Qiwen HuSchool of Atmospheric Sciences, Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Neutrality, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China. huqw5@mail2.sysu.edu.cn.
Zhangcai QinSchool of Atmospheric Sciences, Guangdong Province Data Center of Terrestrial and Marine Ecosystems Carbon Neutrality, Sun Yat-sen University, and Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China. qinzhangcai@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0001-9414-4854

Funding

National Natural Science Foundation of China (National Science Foundation of China) U21A6001
6 · The paper itself

Abstract

Paddy rice, one of the world's primary cereals, plays a critical role in food security and environmental sustainability. Existing global rice distribution datasets provide valuable insights but are often constrained by time and coverage. In this study, we developed the GloRice (I), a long-term global gridded dataset mapping rice harvested and physical areas at a 5-arcminute resolution for 1961-2021. The dataset consists of three components: (1) GloRice-2000hvst: four types of rice harvested area maps for the year 2000, using multiple established datasets (M3, SPAM, GAEZ); (2) GloRice-hvst: annual harvested area maps (1961-2021) integrating national and subnational statistics; and (3) GloRice-phsc: annual physical area maps (1961-2021) derived from the rice multiple cropping index (MCI) data. Validation demonstrated strong agreement at global and regional levels, with consistent accuracy in subnational comparisons for major rice-producing regions, including China, South Asia, and Southeast Asia. The GloRice (I) provides essential data input for regional and global modelling and assessments, with broad applicability in agriculture, climate, and environmental research.

Identifiers

PMID39885171
PMCPMC11782549

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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.