IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v228y2020ics0378377419310388.html
   My bibliography  Save this article

Exploring optimal nitrogen management strategies to mitigate nitrogen losses from paddy soil in the middle reaches of the Yangtze River

Author

Listed:
  • Shi, Xinrui
  • Hu, Kelin
  • Batchelor, William D.
  • Liang, Hao
  • Wu, Yali
  • Wang, Qihui
  • Fu, Jin
  • Cui, Xiaoqing
  • Zhou, Feng

Abstract

Excessive fertilization in rice paddy fields leads to surface water eutrophication, groundwater contamination and air pollution. Determining optimum nitrogen (N) management is essential for maintaining rice yield while reducing the environmental risk caused by N loss. A two-year field experiment (2017–2018) was carried out in a typical paddy field in the middle reaches of the Yangtze River. The WHCNS (soil Water Heat Carbon Nitrogen Simulator) model was calibrated and evaluated for simulations of measured ponding water depth, evapotranspiration, aboveground dry matter, yield, runoff and crop N. The model was then used to evaluate the effects of different N fertilizer rates and split-N application ratios (SNR) practices on crop growth and N losses. Results showed that the model performed well in simulating rice growth and N losses in the region. Ammonia volatilization and denitrification were the mainly pathways of N loss in paddy field, and their two-year average losses were 34% and 38% of the total N loss, respectively. N leaching accounted for 23%, and runoff N loss accounted for 5% of total N loss. N losses were evaluated for two different scenarios and simulated ratios of ammonia volatilization, denitrification, N leaching, and runoff to total N loss under different N management scenarios were 15%–53%, 33%–55%, 6%–30%, and 4%–8%, respectively. Ammonia volatilization and N runoff exponentially increased with an increase of N fertilizer rate, whereas denitrification and N leaching showed an increasing and then a decreasing trend. Yield increased by 36 kg ha−1, and the total N loss decreased by 32.6 kg N ha−1 when the N fertilizer rate was reduced from 231 kg N ha−1 to 155 kg N ha−1 and the SNR was changed from 5:3:1 to 1:1:4. Therefore, reducing the N fertilizer rate and increasing the SNR in the late rice growing season can significantly reduce N loss and effectively improve N use efficiency.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:agiwat:v:228:y:2020:i:c:s0378377419310388
    DOI: 10.1016/j.agwat.2019.105877
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377419310388
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2019.105877?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Li, Yong & Šimůnek, Jirka & Zhang, Zhentin & Jing, Longfei & Ni, Lixiao, 2015. "Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 148(C), pages 213-222.
    2. Tan, Xuezhi & Shao, Dongguo & Gu, Wenquan & Liu, Huanhuan, 2015. "Field analysis of water and nitrogen fate in lowland paddy fields under different water managements using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 150(C), pages 67-80.
    3. 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.
    4. Antonopoulos, Vassilis Z., 2010. "Modelling of water and nitrogen balances in the ponded water and soil profile of rice fields in Northern Greece," Agricultural Water Management, Elsevier, vol. 98(2), pages 321-330, December.
    5. Belder, P. & Bouman, B. A. M. & Cabangon, R. & Guoan, Lu & Quilang, E. J. P. & Yuanhua, Li & Spiertz, J. H. J. & Tuong, T. P., 2004. "Effect of water-saving irrigation on rice yield and water use in typical lowland conditions in Asia," Agricultural Water Management, Elsevier, vol. 65(3), pages 193-210, March.
    6. Zhang, Hongyuan & Hu, Kelin & Zhang, Lijuan & Ji, Yanzhi & Qin, Wei, 2019. "Exploring optimal catch crops for reducing nitrate leaching in vegetable greenhouse in North China," Agricultural Water Management, Elsevier, vol. 212(C), pages 273-282.
    7. 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.
    8. Xu, Junzeng & Peng, Shizhang & Yang, Shihong & Wang, Weiguang, 2012. "Ammonia volatilization losses from a rice paddy with different irrigation and nitrogen managements," Agricultural Water Management, Elsevier, vol. 104(C), pages 184-192.
    9. 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.
    10. Fu, Jin & Wu, Yali & Wang, Qihui & Hu, Kelin & Wang, Shiqin & Zhou, Minghua & Hayashi, Kentaro & Wang, Hongyuan & Zhan, Xiaoying & Jian, Yiwei & Cai, Chen & Song, Meifang & Liu, Kaiwen & Wang, Yonghua, 2019. "Importance of subsurface fluxes of water, nitrogen and phosphorus from rice paddy fields relative to surface runoff," Agricultural Water Management, Elsevier, vol. 213(C), pages 627-635.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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).
    2. Wang, Yanzhi & Chen, Ji & Sun, Yidi & Jiao, Yanting & Yang, Yi & Yuan, Xiaoqi & Lærke, Poul Erik & Wu, Qi & Chi, Daocai, 2023. "Zeolite reduces N leaching and runoff loss while increasing rice yields under alternate wetting and drying irrigation regime," Agricultural Water Management, Elsevier, vol. 277(C).
    3. Shi, Xinrui & Batchelor, William D. & Liang, Hao & Li, Sien & Li, Baoguo & Hu, Kelin, 2020. "Determining optimal water and nitrogen management under different initial soil mineral nitrogen levels in northwest China based on a model approach," Agricultural Water Management, Elsevier, vol. 234(C).
    4. Jiao Lyu & Xinyi Wang & Shengnan Hou & Anwar Zeb & Hui Zhu & Yingying Xu, 2023. "Content Variation and Potential Runoff Loss Risk of Nutrients in Surface Water of Saline-Alkali Paddy in Response to the Application of Different Nitrogen Fertilizer Types," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    5. Guo, Qinghua & Wu, Wenliang, 2024. "Dynamics of soil water and nitrate within the vadose zone simulated by the WHCNS model calibrated based on deep learning," Agricultural Water Management, Elsevier, vol. 292(C).
    6. Sisi Li & Yanhua Zhuang & Hongbin Liu & Zhen Wang & Fulin Zhang & Mingquan Lv & Limei Zhai & Xianpeng Fan & Shiwei Niu & Jingrui Chen & Changxu Xu & Na Wang & Shuhe Ruan & Wangzheng Shen & Menghan Mi , 2023. "Enhancing rice production sustainability and resilience via reactivating small water bodies for irrigation and drainage," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Han, Huanhao & Gao, Rong & Cui, Yuanlai & Gu, Shixiang, 2021. "Transport and transformation of water and nitrogen under different irrigation modes and urea application regimes in paddy fields," Agricultural Water Management, Elsevier, vol. 255(C).
    2. Liang, Hao & Chen, Qing & Liang, Bin & Hu, Kelin, 2020. "Modeling the effects of long-term reduced N application on soil N losses and yield in a greenhouse tomato production system," Agricultural Systems, Elsevier, vol. 185(C).
    3. Shi, Xinrui & Batchelor, William D. & Liang, Hao & Li, Sien & Li, Baoguo & Hu, Kelin, 2020. "Determining optimal water and nitrogen management under different initial soil mineral nitrogen levels in northwest China based on a model approach," Agricultural Water Management, Elsevier, vol. 234(C).
    4. Liang, Hao & Lv, Haofeng & Batchelor, William D. & Lian, Xiaojuan & Wang, Zhengxiang & Lin, Shan & Hu, Kelin, 2020. "Simulating nitrate and DON leaching to optimize water and N management practices for greenhouse vegetable production systems," Agricultural Water Management, Elsevier, vol. 241(C).
    5. Kaiwen Chen & Shuang’en Yu & Tao Ma & Jihui Ding & Pingru He & Yao Li & Yan Dai & Guangquan Zeng, 2022. "Modeling the Water and Nitrogen Management Practices in Paddy Fields with HYDRUS-1D," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
    6. Liang, Hao & Qi, Zhiming & Hu, Kelin & Li, Baoguo & Prasher, Shiv O., 2018. "Modelling subsurface drainage and nitrogen losses from artificially drained cropland using coupled DRAINMOD and WHCNS models," Agricultural Water Management, Elsevier, vol. 195(C), pages 201-210.
    7. Huanyuan Wang & Baoguo Li & Liang Jin & Kelin Hu, 2020. "Exploring a Sustainable Cropping System in the North China Plain Using a Modelling Approach," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    8. Tan, Xuezhi & Shao, Dongguo & Gu, Wenquan & Liu, Huanhuan, 2015. "Field analysis of water and nitrogen fate in lowland paddy fields under different water managements using HYDRUS-1D," Agricultural Water Management, Elsevier, vol. 150(C), pages 67-80.
    9. Alhaj Hamoud, Yousef & Shaghaleh, Hiba & Sheteiwy, Mohamed & Guo, Xiangping & Elshaikh, Nazar A. & Ullah Khan, Nasr & Oumarou, Abdoulaye & Rahim, Shah Fahad, 2019. "Impact of alternative wetting and soil drying and soil clay content on the morphological and physiological traits of rice roots and their relationships to yield and nutrient use-efficiency," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.
    10. Yan, Jun & Wu, Qixia & Qi, Dongliang & Zhu, Jianqiang, 2022. "Rice yield, water productivity, and nitrogen use efficiency responses to nitrogen management strategies under supplementary irrigation for rain-fed rice cultivation," Agricultural Water Management, Elsevier, vol. 263(C).
    11. Luan, Yajun & Xu, Junzeng & Lv, Yuping & Liu, Xiaoyin & Wang, Haiyu & Liu, Shimeng, 2021. "Improving the performance in crop water deficit diagnosis with canopy temperature spatial distribution information measured by thermal imaging," Agricultural Water Management, Elsevier, vol. 246(C).
    12. Darzi-Naftchali, Abdullah & Karandish, Fatemeh & Šimůnek, Jiří, 2018. "Numerical modeling of soil water dynamics in subsurface drained paddies with midseason drainage or alternate wetting and drying management," Agricultural Water Management, Elsevier, vol. 197(C), pages 67-78.
    13. Ishfaq, Muhammad & Farooq, Muhammad & Zulfiqar, Usman & Hussain, Saddam & Akbar, Nadeem & Nawaz, Ahmad & Anjum, Shakeel Ahmad, 2020. "Alternate wetting and drying: A water-saving and ecofriendly rice production system," Agricultural Water Management, Elsevier, vol. 241(C).
    14. Tao, Yuan & Li, Na & Wang, Shaoli & Chen, Haorui & Guan, Xiaoyan & Ji, Mengzhe, 2021. "Simulation study on performance of nitrogen loss of an improved subsurface drainage system for one-time drainage using HYDRUS-2D," Agricultural Water Management, Elsevier, vol. 246(C).
    15. Ding, Yimin & Wang, Weiguang & Song, Ruiming & Shao, Quanxi & Jiao, Xiyun & Xing, Wanqiu, 2017. "Modeling spatial and temporal variability of the impact of climate change on rice irrigation water requirements in the middle and lower reaches of the Yangtze River, China," Agricultural Water Management, Elsevier, vol. 193(C), pages 89-101.
    16. Nasca, J.A. & Feldkamp, C.R. & Arroquy, J.I. & Colombatto, D., 2015. "Efficiency and stability in subtropical beef cattle grazing systems in the northwest of Argentina," Agricultural Systems, Elsevier, vol. 133(C), pages 85-96.
    17. Li, Yong & Šimůnek, Jirka & Zhang, Zhentin & Jing, Longfei & Ni, Lixiao, 2015. "Evaluation of nitrogen balance in a direct-seeded-rice field experiment using Hydrus-1D," Agricultural Water Management, Elsevier, vol. 148(C), pages 213-222.
    18. Lv, Yuping & Gu, Linhui & Xu, Junzeng & Liu, Xiaoyin, 2024. "A coupled hourly water-carbon flux model at plot and field scales for water-saving irrigated rice paddy," Agricultural Water Management, Elsevier, vol. 293(C).
    19. Ye, Qing & Yang, Xiaoguang & Dai, Shuwei & Chen, Guangsheng & Li, Yong & Zhang, Caixia, 2015. "Effects of climate change on suitable rice cropping areas, cropping systems and crop water requirements in southern China," Agricultural Water Management, Elsevier, vol. 159(C), pages 35-44.
    20. Yufeng Luo & Haolong Fu & Seydou Traore, 2014. "Biodiversity Conservation in Rice Paddies in China: Toward Ecological Sustainability," Sustainability, MDPI, vol. 6(9), pages 1-18, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:228:y:2020:i:c:s0378377419310388. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.