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Regional modelling of rice yields and nitrogen loss in Hubei Province using the WHCNS model

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Listed:
  • Li, Chao
  • Shi, Xinrui
  • Batcholer, William D.
  • Feng, Puyu
  • Hu, Kelin

Abstract

Excessive nitrogen (N) fertilization has led to serious environmental problems. Exploring the spatial distribution of rice yields and N loss is crucial to determine optimal N fertilizer management. However, previous studies are mostly based on field scale, it's a big challenge to use model approach to explore the spatial distribution and influencing factors of rice yields and N loss due to lack of field management, soil and crop information at regional scale.

Suggested Citation

  • Li, Chao & Shi, Xinrui & Batcholer, William D. & Feng, Puyu & Hu, Kelin, 2025. "Regional modelling of rice yields and nitrogen loss in Hubei Province using the WHCNS model," Agricultural Systems, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:agisys:v:224:y:2025:i:c:s0308521x24003998
    DOI: 10.1016/j.agsy.2024.104249
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    References listed on IDEAS

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    1. Shi, Xinrui & Hu, Kelin & Batchelor, William D. & Liang, Hao & Wu, Yali & Wang, Qihui & Fu, Jin & Cui, Xiaoqing & Zhou, Feng, 2020. "Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River," Agricultural Water Management, Elsevier, vol. 228(C).
    2. Ren Hu & Zijuan Ding & Tingyu Li & Dingyue Zhang & Yingbing Tian & Yuxian Cao & Jun Hou, 2022. "Optimizing Nitrogen Application for Chinese Ratoon Rice Based on Yield and Reactive Nitrogen Loss," Agriculture, MDPI, vol. 12(7), pages 1-14, July.
    3. Shi, Yifan & Lou, Yunsheng & Zhang, Yiwei & Xu, Zufei, 2021. "Quantitative contributions of climate change, new cultivars adoption, and management practices to yield and global warming potential in rice-winter wheat rotation ecosystems," Agricultural Systems, Elsevier, vol. 190(C).
    4. Li, Zhoujing & Hu, Kelin & Li, Baoguo & He, Mingrong & Zhang, Jiwang, 2015. "Evaluation of water and nitrogen use efficiencies in a double cropping system under different integrated management practices based on a model approach," Agricultural Water Management, Elsevier, vol. 159(C), pages 19-34.
    5. Liang, Hao & Xu, Junzeng & Hou, Huijing & Qi, Zhiming & Yang, Shihong & Li, Yawei & Hu, Kelin, 2022. "Modeling CH4 and N2O emissions for continuous and noncontinuous flooding rice systems," Agricultural Systems, Elsevier, vol. 203(C).
    6. Yang, J.M. & Yang, J.Y. & Liu, S. & Hoogenboom, G., 2014. "An evaluation of the statistical methods for testing the performance of crop models with observed data," Agricultural Systems, Elsevier, vol. 127(C), pages 81-89.
    7. Liang, Hao & Hu, Kelin & Batchelor, William D. & Qin, Wei & Li, Baoguo, 2018. "Developing a water and nitrogen management model for greenhouse vegetable production in China: Sensitivity analysis and evaluation," Ecological Modelling, Elsevier, vol. 367(C), pages 24-33.
    Full references (including those not matched with items on IDEAS)

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