IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v275y2023ics0378377422005844.html
   My bibliography  Save this article

Assessing the drought impact on sugarcane yield based on crop water requirements and standardized precipitation evapotranspiration index

Author

Listed:
  • Qin, Nianxiu
  • Lu, Qinqin
  • Fu, Guobin
  • Wang, Junneng
  • Fei, Kai
  • Gao, Liang

Abstract

A clear understanding of the drought impact on crops is essential to reduce drought-related yield losses. In this study, a framework to explicitly quantify the impact of drought on a specific crop has been proposed. The sugarcane is selected as the target crop, and the growth process is divided into 4 stages in different areas in Guangxi. The evolution of drought and water requirements, as well as the impact of drought on water requirement and yield are evaluated based on Standardized Precipitation Evapotranspiration Index (SPEI), Crop Water Requirement, and sugarcane Standardized Yield Residual Series. The drought in sugarcane growing season tends to intensify, and the drought risk in Southwest Guangxi will increase. Nevertheless, different drought trends exhibit in different growth stages. During the sugarcane seeding and tillering stages, the drought trend in Guangxi is dominant. Consistent with the detected trend of increasing drought, the water demand of sugarcane in most areas showed a significant upward trend. Crop Water Requirement and irrigation water requirement reached the maximum at the stem extension stage. The relationship between drought and irrigation water requirement varied in different regions. Sugarcane is vulnerable to drought risk during stem extension stage, resulting in a decline in yield, and the water demand at this stage is also the largest. The fluctuation of sugarcane yield can be explained by the interannual variation of SPEI. Specifically, the mid- to short-term drought in August and September have a significant impact on sugarcane production. Short-term SPEI can predict the occurrences of drought events earlier than long-term SPEI, and the fluctuation range is also greater. The severe and long-lasting drought has a serious impact on sugarcane yield. The method is expected to be applied to other crops in other regions.

Suggested Citation

  • Qin, Nianxiu & Lu, Qinqin & Fu, Guobin & Wang, Junneng & Fei, Kai & Gao, Liang, 2023. "Assessing the drought impact on sugarcane yield based on crop water requirements and standardized precipitation evapotranspiration index," Agricultural Water Management, Elsevier, vol. 275(C).
    • Handle: RePEc:eee:agiwat:v:275:y:2023:i:c:s0378377422005844
    DOI: 10.1016/j.agwat.2022.108037
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377422005844
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2022.108037?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. Ellis, R. D. & Lankford, B. A., 1990. "The tolerance of sugarcane to water stress during its main development phases," Agricultural Water Management, Elsevier, vol. 17(1-3), pages 117-128, January.
    2. Fabio Marin & James Jones & Abraham Singels & Frederick Royce & Eduardo Assad & Giampaolo Pellegrino & Flávio Justino, 2013. "Climate change impacts on sugarcane attainable yield in southern Brazil," Climatic Change, Springer, vol. 117(1), pages 227-239, March.
    3. Wang, Fei & Lai, Hexin & Li, Yanbin & Feng, Kai & Zhang, Zezhong & Tian, Qingqing & Zhu, Xiaomeng & Yang, Haibo, 2022. "Dynamic variation of meteorological drought and its relationships with agricultural drought across China," Agricultural Water Management, Elsevier, vol. 261(C).
    4. Jincai Zhao & Qianqian Liu & Heli Lu & Zheng Wang & Ke Zhang & Pan Wang, 2021. "Future droughts in China using the standardized precipitation evapotranspiration index (SPEI) under multi-spatial scales," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 109(1), pages 615-636, October.
    5. Wiedenfeld, Robert P., 2000. "Water stress during different sugarcane growth periods on yield and response to N fertilization," Agricultural Water Management, Elsevier, vol. 43(2), pages 173-182, March.
    6. Dingre, S.K. & Gorantiwar, S.D., 2021. "Soil moisture based deficit irrigation management for sugarcane (Saccharum officinarum L.) in semiarid environment," Agricultural Water Management, Elsevier, vol. 245(C).
    7. Singels, A. & Paraskevopoulos, A.L. & Mashabela, M.L., 2019. "Farm level decision support for sugarcane irrigation management during drought," Agricultural Water Management, Elsevier, vol. 222(C), pages 274-285.
    8. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    9. Z. Xu & Y. Chen & J. Li, 2004. "Impact of Climate Change on Water Resources in the Tarim River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 18(5), pages 439-458, October.
    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. Yifang Zhou & Mingzhang Pan & Wei Guan & Changcheng Fu & Tiecheng Su, 2023. "Predicting Sugarcane Yield via the Use of an Improved Least Squares Support Vector Machine and Water Cycle Optimization Model," Agriculture, MDPI, vol. 13(11), pages 1-23, November.

    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. Singels, A. & Paraskevopoulos, A.L. & Mashabela, M.L., 2019. "Farm level decision support for sugarcane irrigation management during drought," Agricultural Water Management, Elsevier, vol. 222(C), pages 274-285.
    2. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    3. 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.
    4. Bu, Lingduo & Chen, Xinping & Li, Shiqing & Liu, Jianliang & Zhu, Lin & Luo, Shasha & Lee Hill, Robert & Zhao, Ying, 2015. "The effect of adapting cultivars on the water use efficiency of dryland maize (Zea mays L.) in northwestern China," Agricultural Water Management, Elsevier, vol. 148(C), pages 1-9.
    5. Xiaqing Feng & Guangxin Zhang & Xiongrui Yin, 2011. "Hydrological Responses to Climate Change in Nenjiang River Basin, Northeastern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 677-689, January.
    6. Wenfeng Chi & Yuanyuan Zhao & Wenhui Kuang & Tao Pan & Tu Ba & Jinshen Zhao & Liang Jin & Sisi Wang, 2021. "Impact of Cropland Evolution on Soil Wind Erosion in Inner Mongolia of China," Land, MDPI, vol. 10(6), pages 1-16, June.
    7. Santillán-Fernández, A. & Santoyo-Cortés, V.H. & García-Chávez, L.R. & Covarrubias-Gutiérrez, I. & Merino, A., 2016. "Influence of drought and irrigation on sugarcane yields in different agroecoregions in Mexico," Agricultural Systems, Elsevier, vol. 143(C), pages 126-135.
    8. Xu, Ying & Findlay, Christopher, 2019. "Farmers’ constraints, governmental support and climate change adaptation: Evidence from Guangdong Province, China," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(4), October.
    9. Zhongen Niu & Huimin Yan & Fang Liu, 2020. "Decreasing Cropping Intensity Dominated the Negative Trend of Cropland Productivity in Southern China in 2000–2015," Sustainability, MDPI, vol. 12(23), pages 1-14, December.
    10. Yuhong Shuai & Liming Yao, 2021. "Adjustable Robust Optimization for Multi-Period Water Allocation in Droughts Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(12), pages 4043-4065, September.
    11. Zhang, Fengtai & Xiao, Yuedong & Gao, Lei & Ma, Dalai & Su, Ruiqi & Yang, Qing, 2022. "How agricultural water use efficiency varies in China—A spatial-temporal analysis considering unexpected outputs," Agricultural Water Management, Elsevier, vol. 260(C).
    12. Chen, Qi & Qu, Zhaoming & Ma, Guohua & Wang, Wenjing & Dai, Jiaying & Zhang, Min & Wei, Zhanbo & Liu, Zhiguang, 2022. "Humic acid modulates growth, photosynthesis, hormone and osmolytes system of maize under drought conditions," Agricultural Water Management, Elsevier, vol. 263(C).
    13. Kang, Shaozhong & Hao, Xinmei & Du, Taisheng & Tong, Ling & Su, Xiaoling & Lu, Hongna & Li, Xiaolin & Huo, Zailin & Li, Sien & Ding, Risheng, 2017. "Improving agricultural water productivity to ensure food security in China under changing environment: From research to practice," Agricultural Water Management, Elsevier, vol. 179(C), pages 5-17.
    14. Zhihai Yang & Amin W. Mugera & Fan Zhang, 2016. "Investigating Yield Variability and Inefficiency in Rice Production: A Case Study in Central China," Sustainability, MDPI, vol. 8(8), pages 1-11, August.
    15. Xiaoguang Chen & Madhu Khanna & Lu Yang, 2022. "The impacts of temperature on Chinese food processing firms," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 66(2), pages 256-279, April.
    16. Sicong Wang & Changhai Qin & Yong Zhao & Jing Zhao & Yuping Han, 2023. "The Evolutionary Path of the Center of Gravity for Water Use, the Population, and the Economy, and Their Decomposed Contributions in China from 1965 to 2019," Sustainability, MDPI, vol. 15(12), pages 1-20, June.
    17. Minghao Bai & Shenbei Zhou & Ting Tang, 2022. "A Reconstruction of Irrigated Cropland Extent in China from 2000 to 2019 Using the Synergy of Statistics and Satellite-Based Datasets," Land, MDPI, vol. 11(10), pages 1-27, September.
    18. Wang, Guangshuai & Liang, Yueping & Zhang, Qian & Jha, Shiva K. & Gao, Yang & Shen, Xiaojun & Sun, Jingsheng & Duan, Aiwang, 2016. "Mitigated CH4 and N2O emissions and improved irrigation water use efficiency in winter wheat field with surface drip irrigation in the North China Plain," Agricultural Water Management, Elsevier, vol. 163(C), pages 403-407.
    19. Jessica Lima Viana & Jorge Luiz Moretti de Souza & Aaron Kinyu Hoshide & Ricardo Augusto de Oliveira & Daniel Carneiro de Abreu & Wininton Mendes da Silva, 2023. "Estimating Sugarcane Yield in a Subtropical Climate Using Climatic Variables and Soil Water Storage," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    20. Cao, Meng & Chen, Min & Liu, Ji & Liu, Yanli, 2022. "Assessing the performance of satellite soil moisture on agricultural drought monitoring in the North China Plain," Agricultural Water Management, Elsevier, vol. 263(C).

    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:275:y:2023:i:c:s0378377422005844. 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.