Evidence map›Paper›PMID 41769908›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

An Increasing Misalignment Between Crop Distribution and Environmental Resources Under Climate Change in China.

Zheng'e Su, Zhentao Zhang, Jin Zhao, Xia Liang, Chuang Zhao, Zhijuan Liu, Minghao Zhuang, Jing Sun, Bo Lu, Ke Liu and 4 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

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

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

14 authors.

Zheng'e SuCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Zhentao ZhangCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Jin ZhaoCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.ORCID https://orcid.org/0000-0003-3976-8570
Xia LiangSchool of Agriculture, Food and Ecosystem Sciences (SAFES), Faculty of Science, The University of Melbourne, Parkville, Victoria, Australia.
Chuang ZhaoCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Zhijuan LiuCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Minghao ZhuangCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Jing SunState Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China, Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing, China.
Bo LuState Key Laboratory of Climate System Prediction and Risk Management/China Meteorological Administration Climate Studies Key Laboratory, National Climate Centre, China Meteorological Administration, Beijing, China.
Ke LiuTasmanian Institute of Agriculture, University of Tasmania, Launceston, Tasmania, Australia.
Johannes W M PullensDepartment of Agroecology, Aarhus University, Tjele, Denmark.
Matthew T HarrisonTasmanian Institute of Agriculture, University of Tasmania, Launceston, Tasmania, Australia.
Deli ChenSchool of Agriculture, Food and Ecosystem Sciences (SAFES), Faculty of Science, The University of Melbourne, Parkville, Victoria, Australia.
Xiaoguang YangCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.

Funding

2115 Talent Development Program of China Agricultural University, and the Youth Innovation Team of China Meteorological Administration CMA2023QN15National Key R&D Program of China 2023YFD1500200National Natural Science Foundation of China 42205192National Natural Science Foundation of China 42475199Norwegian Ministry of Foreign Affairs CHN-2152 22/0013 SINOGRAIN III
6 · The paper itself

Abstract

Understanding local environmental resources is key to easing resource pressure and achieving sustainable crop production under climate change. Using multi-source data and a crop model, the integrated environmental resource endowment, encompassing climatic conditions, blue water availability and soil properties, for maize and wheat, and how harvest areas align with these resources is quantified. Over the past 20 years, maize shifted northward with climate changes, while wheat's high endowment regions moved west but its harvest area moved east. Notably, both crops show increasing spatial misalignment with water resources, with about 84% of maize and 90% of wheat areas facing water scarcity and requiring extra water to maintain yields. This growing mismatch between where crops are grown and where resources, especially water, are abundant highlights the need for smarter, resource-informed crop placement and water management. Aligning crops with local environmental capacity represents an opportunity to ease pressure on finite resources, strengthen food security, protect ecosystems, and ensure long-term economic sustainability.

Indexed as

climate changecrop distributionenvironmental resourceswater availability

Identifiers

PMID41769908
PMCPMC13170205

What OpenQuestion holds

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LicenceCC BY
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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.