Evidence map›Paper›PMID 41608041›Full record

ReviewNational science review2026

Multidimensional synergistic adaptation enhances the systemic resilience in China's food security.

Yujie Liu, Jiahao Chen, Wenjing Cheng, Xuhui Wang, Tao Pan, Junjie Liu, Yang Lu, Ermei Zhang, Shuyuan Huang, Jie Zhang and 22 more

Abstract readReview
In one paragraph

Review in National science review, 2026. 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

32 authors.

Yujie LiuKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.ORCID https://orcid.org/0000-0002-0751-6857
Jiahao ChenKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Wenjing ChengKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Xuhui WangSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.ORCID https://orcid.org/0000-0003-0818-9816
Tao PanKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Junjie LiuKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Yang LuKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Ermei ZhangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Shuyuan HuangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Jie ZhangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Da LvKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Qinghua TanKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Jie ChenCollege of Marine Ecology and Environment, Shanghai Ocean University, Shanghai 201306, China.
Chenzhi WangSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Yuhao ZengKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Hanchen WangKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Josep PeñuelasGlobal Ecology Unit CREAF-CSIC-UAB, Center for Ecological Research and Forestry Applications - National Research Council, Edifici C, Universitat Autonoma de Barcelona, Bellaterra  08193, Spain.ORCID https://orcid.org/0000-0002-7215-0150
Yong-Guan ZhuState Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Christoph MüllerPotsdam Institute for Climate Impact Research, Member of the Leibniz Association, Potsdam 14473, Germany.ORCID https://orcid.org/0000-0002-9491-3550
Jiabao ZhangState Experimental Station of Agro-Ecosystem in Fengqiu, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Shaozhong KangCenter for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China.
Sien LiCenter for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China.
Jikun HuangChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China.
Wei XieChina Center for Agricultural Policy, School of Advanced Agricultural Sciences, Peking University, Beijing 100871, China.
Wenbin WuInstitute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
Jonas JägermeyrColumbia University Climate School, New York, NY 10025, USA.
Yan ZhuNational Engineering and Technology Center for Information Agriculture, Jiangsu Key Laboratory for Information Agriculture, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing 210095, China.ORCID https://orcid.org/0000-0002-1884-2404
Petr HavlikInternational Institute for Applied Systems Analysis, Laxenburg 2361, Austria.
Jinfeng ChangCollege of Environmental and Resource Sciences, Zhejiang University, Hangzhou 310058, China.
Tao LinCollege of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.
Bing YuSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Shilong PiaoSino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How to manage the compounding risks to national food security is a major issue of global concern. China, as the world's largest producer of staple foods, has steadily strengthened its food security level, profoundly impacting global food systems. In this review, we propose a systemic resilience framework (the ability to predict, absorb, rebound from and adapt to disruptions) to analyze the evolution of China's food security and explore its driving factors and multidimensional adaptations. China's food security resilience has progressed through three distinct stages: low resilience (achieving basic sufficiency), medium resilience (achieving nutritional adequacy) and above-medium resilience (embracing sustainability). Multidimensional synergistic adaptation-integrating agricultural, climatic, socioeconomic and land-use strategies-has been key to these achievements. While agricultural advancements have significantly bolstered China's food security, the growing pressures of climate change threaten to undermine these achievements. We project that China's staple food self-sufficiency will remain above 98%, yet the overall food balance is expected to tighten under the combined pressures of dietary shifts and resource constraints. To better enhance the systemic resilience in China's food security, China can buffer climate- and water-related shocks by expanding high-standard farmland, ease resource and demand pressures by enforcing anti-food-waste laws, strengthen soil and water resilience through nature-based solutions, and dampen trade volatility with integrated climate-market early-warning systems. Insights from China's experience provide targeted levers for enhancing food-system resilience elsewhere.

Indexed as

agricultural advanceclimate changefood securitymultidimensional synergistic adaptationsystemic resilience

Identifiers

PMID41608041
PMCPMC12839535

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.