Improving future agricultural sustainability by optimizing crop distributions in China

Improving agricultural sustainability is a global challenge, particularly for China's high-input and low-efficiency cropping systems with environmental tradeoffs. Although national strategies have been implemented to achieve Sustainable Development Goals in agriculture, the potential contributions of crop switching as a promising solution under varying future climate change are still under-explored. Here, we optimize cropping patterns spatially with the targets of enhancing agriculture production, reducing environmental burdens, and achieving sustainable fertilization across different climate scenarios. Compared with current cropping patterns, the optimal crop distributions under different climate scenarios consistently suggest allocating the planting areas of maize and rapeseed to the other crops (rice, wheat, soybean, peanut, and potato). Such crop switching can consequently increase crop production by 14.1%, with accompanying reductions in environmental impacts (8.2% for leached nitrogen and 24.0% for irrigation water use) across three representative Shared Socio-economic Pathways from 2020 to 2100. The sustainable fertilization rates vary from 148-173 kg N ha<sup>-1</sup> in 2030 to 213-253 kg N ha<sup>-1</sup> in 2070, significantly smaller than the current rate (305 kg N ha<sup>-1</sup>). These outcomes highlight large potential benefits of crop switching and fertilizer management for improving China's future agricultural sustainability.

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Publication Details

Journal
PNAS Nexus
Published
2024-12-23
DOI
https://doi.org/10.1093/pnasnexus/pgae562
Citations
3
Primary Topic
Climate change impacts on agriculture
Type
article
Field-Weighted Citation Impact
3.09

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article

Improving future agricultural sustainability by optimizing crop distributions in China

Jing Tang, Qi Guan, Kun� Shi, Mengxiang Kong et al.
3 citations
PNAS Nexus
Climate change impacts on agriculture
3.09
article

Improving future agricultural sustainability by optimizing crop distributions in China

Jing Tang, Qi Guan, Kun� Shi, Mengxiang Kong, Lian Feng, Kyle Frankel Davis, Guy Schurgers
article en
3 citations

Abstract

Improving agricultural sustainability is a global challenge, particularly for China's high-input and low-efficiency cropping systems with environmental tradeoffs. Although national strategies have been implemented to achieve Sustainable Development Goals in agriculture, the potential contributions of crop switching as a promising solution under varying future climate change are still under-explored. Here, we optimize cropping patterns spatially with the targets of enhancing agriculture production, reducing environmental burdens, and achieving sustainable fertilization across different climate scenarios. Compared with current cropping patterns, the optimal crop distributions under different climate scenarios consistently suggest allocating the planting areas of maize and rapeseed to the other crops (rice, wheat, soybean, peanut, and potato). Such crop switching can consequently increase crop production by 14.1%, with accompanying reductions in environmental impacts (8.2% for leached nitrogen and 24.0% for irrigation water use) across three representative Shared Socio-economic Pathways from 2020 to 2100. The sustainable fertilization rates vary from 148-173 kg N ha<sup>-1</sup> in 2030 to 213-253 kg N ha<sup>-1</sup> in 2070, significantly smaller than the current rate (305 kg N ha<sup>-1</sup>). These outcomes highlight large potential benefits of crop switching and fertilizer management for improving China's future agricultural sustainability.

PNAS NexusVol. 4(1)
University of Copenhagen (DK), Eastern Institute of Technology (NZ), Shanghai Jiao Tong University (CN), Lund University (SE), Southern University of Science and Technology (CN), Nanjing Institute of Geography and Limnology (CN), University of Delaware (US)
European Commission, National Research Foundation, Danmarks Grundforskningsfond, National Natural Science Foundation of China, Svenska Forskningsrådet Formas, Lunds Universitet
Zero hunger
Openalex Percentile: Top 8%
Climate change impacts on agriculture
3.09
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