Merits of dietary patterns for China’s future food security satisfying socioeconomic development and climate change adaptation

Food security depends on food production exceeding consumption, which are influenced, respectively, by climate change and socio-economic development. We adopted a hybrid approach for predicting features of future food security in China. Specifically, complex interactions in food security were examined using copula-based Markov Chain Monte Carlo simulation. Crop yields per unit area were simulated with a denitrification-decomposition (DNDC) model under four climate-change scenarios. A high shortage risk for soybean and lower shortage risks for maize and wheat were predicted. Compared with the extent of food security in China under other dietary patterns, the performance advantage of the Chinese dietary pattern was identified, which could mitigate crop shortage risks. The shortage risk of core crops would not be influenced greatly under the different dietary patterns. In the planning years 2025 and 2030, the shortage risks for soybean and rice would be pronounced (i.e., more than 50%), whereas those for maize and wheat would not be prominent.

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Publication Details

Journal
iScience
Published
2025-06-09
DOI
https://doi.org/10.1016/j.isci.2025.112859
Citations
2
Primary Topic
Agriculture Sustainability and Environmental Impact
Type
article
Field-Weighted Citation Impact
3.43

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article

Merits of dietary patterns for China’s future food security satisfying socioeconomic development and climate change adaptation

Zhenkun Tan, Zhongqi Liu, Yuanchao Hu, Shujie Yu et al.
2 citations
iScience
Agriculture Sustainability and Environmental Impact
3.43
article

Merits of dietary patterns for China’s future food security satisfying socioeconomic development and climate change adaptation

Zhenkun Tan, Zhongqi Liu, Yuanchao Hu, Shujie Yu, Meirong Su, Qiangqiang Rong, Wencong Yue, Chao Xu, Zhifeng Yang, Yanpeng Cai, Jiajia Li, Donghan Chen
article en
2 citations

Abstract

Food security depends on food production exceeding consumption, which are influenced, respectively, by climate change and socio-economic development. We adopted a hybrid approach for predicting features of future food security in China. Specifically, complex interactions in food security were examined using copula-based Markov Chain Monte Carlo simulation. Crop yields per unit area were simulated with a denitrification-decomposition (DNDC) model under four climate-change scenarios. A high shortage risk for soybean and lower shortage risks for maize and wheat were predicted. Compared with the extent of food security in China under other dietary patterns, the performance advantage of the Chinese dietary pattern was identified, which could mitigate crop shortage risks. The shortage risk of core crops would not be influenced greatly under the different dietary patterns. In the planning years 2025 and 2030, the shortage risks for soybean and rice would be pronounced (i.e., more than 50%), whereas those for maize and wheat would not be prominent.

iScienceVol. 28(7)
Guangdong University of Technology (CN), Dongguan University of Technology (CN), Wuhan University (CN), Beijing University of Technology (CN), Beijing Municipal Ecological and Environmental Monitoring Center (CN)
National Natural Science Foundation of China, Humanities and Social Science Fund of Ministry of Education of China
Climate action
Openalex Percentile: Top 9%
Agriculture Sustainability and Environmental Impact
3.43
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