Evidence map›Paper›PMID 39905011›Full record

ArticleScientific data2025

A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century.

Endalkachew Abebe Kebede, Kevin Ong'are Oluoch, Stefan Siebert, Piyush Mehta, Sarah Hartman, Jonas Jägermeyr, Deepak Ray, Tariq Ali, Kate A Brauman, Qinyu Deng and 2 more

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 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Endalkachew Abebe KebedeDepartment of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA. endiabe@udel.edu.ORCID http://orcid.org/0000-0002-5212-7340
Kevin Ong'are OluochDepartment of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA.
Stefan SiebertDepartment of Crop Sciences, University of Göttingen, Göttingen, Germany.ORCID http://orcid.org/0000-0002-9998-0672
Piyush MehtaDepartment of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA.ORCID http://orcid.org/0000-0003-2213-2410
Sarah HartmanDepartment of Environmental Science, Policy, and Management, University of California Berkeley, Berkeley, CA, USA.ORCID http://orcid.org/0000-0002-2427-8440
Jonas JägermeyrColumbia University, Climate School, New York, NY, USA.
Deepak RayInstitute On the Environment, University of Minnesota, Saint Paul, MN, USA.ORCID http://orcid.org/0000-0002-2856-9608
Tariq AliSchool of Economics and Management, Jiangxi Agricultural University, Nanchang, Jiangxi, China.ORCID http://orcid.org/0000-0001-6083-6959
Kate A BraumanGlobal Water Security Center, University of Alabama, Tuscaloosa, AL, USA.ORCID http://orcid.org/0000-0002-8099-285X
Qinyu DengBeijing Key Lab of Study on Sci-Tech Strategy for Urban Green Development, Business School, Beijing Normal University, Beijing, China.ORCID http://orcid.org/0009-0009-5560-2942
Wei XieChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing, China.
Kyle Frankel DavisDepartment of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA. kfdavis@udel.edu.ORCID http://orcid.org/0000-0003-4504-1407

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) SFB 1502/1-2022
6 · The paper itself

Abstract

Crop production is among the most extensive human activities on the planet - with critical importance for global food security, land use, environmental burden, and climate. Yet despite the key role that croplands play in global land use and Earth systems, there remains little understanding of how spatial patterns of global crop cultivation have recently evolved and which crops have contributed most to these changes. Here we construct a new data library of subnational crop-specific irrigated and rainfed harvested area statistics and combine it with global gridded land cover products to develop a global gridded (5-arcminute) irrigated and rainfed cropped area (MIRCA-OS) dataset for the years 2000 to 2015 for 23 crop classes. These global data products support critical insights into the spatially detailed patterns of irrigated and rainfed cropland change since the start of the century and provide an improved foundation for a wide array of global assessments spanning agriculture, water resource management, land use change, climate impact, and sustainable development.

Identifiers

PMID39905011
PMCPMC11794637

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.