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Modeling climatically suitable areas for soybean and their shifts across China

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  • Zhao, Jiongchao
  • Wang, Chong
  • Shi, Xiaoyu
  • Bo, Xiaozhi
  • Li, Shuo
  • Shang, Mengfei
  • Chen, Fu
  • Chu, Qingquan

Abstract

Crop suitability determines its distribution and yield in a given region and can be greatly affected by climate change. In recent decades, the distribution of soybean cultivation has undergone significant spatial shifts in China. However, whether this change matches with climatic suitability for soybean at a national scale has not been reported.

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  • Zhao, Jiongchao & Wang, Chong & Shi, Xiaoyu & Bo, Xiaozhi & Li, Shuo & Shang, Mengfei & Chen, Fu & Chu, Qingquan, 2021. "Modeling climatically suitable areas for soybean and their shifts across China," Agricultural Systems, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:agisys:v:192:y:2021:i:c:s0308521x2100158x
    DOI: 10.1016/j.agsy.2021.103205
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    2. Zhao, Jiongchao & Han, Tong & Wang, Chong & Shi, Xiaoyu & Wang, Kaicheng & Zhao, Mingyu & Chen, Fu & Chu, Qingquan, 2022. "Assessing variation and driving factors of the county-scale water footprint for soybean production in China," Agricultural Water Management, Elsevier, vol. 263(C).
    3. Wenguang Chen & Bangbang Zhang & Xiangbin Kong & Liangyou Wen & Yubo Liao & Lingxin Kong, 2022. "Soybean Production and Spatial Agglomeration in China from 1949 to 2019," Land, MDPI, vol. 11(5), pages 1-17, May.
    4. Peng, Huiru & Zhang, Yang & Nan, Tiegui & Yang, Xiaolin & Pacenka, Steven & Steenhuis, Tammo S. & Niu, Jun, 2025. "Climate change impacts on spatiotemporal variability of soybean water demands in North China Plain," Agricultural Water Management, Elsevier, vol. 310(C).
    5. Zhi Wang & Minmin Luo & Lixia Ye & Jue Peng & Xuan Luo & Lei Gao & Qiong Huang & Qinghong Chen & Lei Zhang, 2024. "Prediction of the Potentially Suitable Areas of Actinidia latifolia in China Based on Climate Change Using the Optimized MaxEnt Model," Sustainability, MDPI, vol. 16(14), pages 1-15, July.
    6. Lu, Yongquan & Liu, Guilin & Xian, Yuyang & Tang, Jiaqi & Zhong, Liming, 2024. "Climate change brings both opportunities and challenges to rural revitalization in China: Evidence from apple geographical indication predictions," Agricultural Systems, Elsevier, vol. 216(C).
    7. Guo, Shibo & Zhao, Jin & Zhao, Chuang & Guo, Erjing & Liu, Zhijuan & Harrison, Matthew Tom & Liu, Ke & Zhang, Tianyi & Yang, Xiaoguang, 2024. "Adapting crop land-use in line with a changing climate improves productivity, prosperity and reduces greenhouse gas emissions," Agricultural Systems, Elsevier, vol. 217(C).
    8. Huaquan Zhang & Abbas Ali Chandio & Fan Yang & Yashuang Tang & Martinson Ankrah Twumasi & Ghulam Raza Sargani, 2022. "Modeling the Impact of Climatological Factors and Technological Revolution on Soybean Yield: Evidence from 13-Major Provinces of China," IJERPH, MDPI, vol. 19(9), pages 1-16, May.
    9. Guo, Shibo & Zhang, Zhentao & Guo, Erjing & Fu, Zhenzhen & Gong, Jingjin & Yang, Xiaoguang, 2022. "Historical and projected impacts of climate change and technology on soybean yield in China," Agricultural Systems, Elsevier, vol. 203(C).

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