IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v288y2023ics0378377423003360.html
   My bibliography  Save this article

Multi-scale spectral characteristics of latent heat flux over flooded rice and winter wheat rotation system

Author

Listed:
  • Zhang, Tao
  • Qiu, Rangjian
  • Ding, Risheng
  • Wu, Jingwei
  • Clothier, Brent

Abstract

The temporal variations of latent heat flux (λET) and its affecting factors vary from seconds to decades, and alter with crop species. Understanding the temporal coherence between λET and its influencing factors across different underlying surfaces is a crucial research topic with practical implications, and can enable better water management. To investigate this, we conducted a study in southern China measuring water and heat fluxes over flooded rice-winter wheat rotation fields from 2017 to 2021. Wavelet transform technology was employed to analyze the spectral properties of λET and its affecting factors. Results showed that the power spectra of λET exhibited different cascade laws for rice and winter wheat. The spectral variabilities of λET occurred at daily and seasonal time scales for both rice and winter wheat, and an additional weekly time-scale for rice. Furthermore, the cospectrum between λET and soil water content (SWC) for rice showed a significant temporal correlation at 2–4 days, indicating the period of water input. We found that the daily λET of both crops changed synchronously with daily net radiation (Rn), and preceded daily vapor pressure deficit (VPD) and air temperature (Ta) by 1.5–2.6 h. The phase angle between λET and Ta was significantly lower for rice (mean = 1.8 h) than winter wheat (mean = 2.3 h). Partial wavelet coherence revealed that Rn, followed by VPD, was the main meteorological factor affecting λET for the rotated flooded rice-winter wheat system at each time scale, especially at the daily time scale. Additionally, the effect of VPD on λET was lower for winter wheat than rice at scales below a month. These findings offered a useful insight into selecting models of λET for varying time scales and promoting better agricultural water management.

Suggested Citation

  • Zhang, Tao & Qiu, Rangjian & Ding, Risheng & Wu, Jingwei & Clothier, Brent, 2023. "Multi-scale spectral characteristics of latent heat flux over flooded rice and winter wheat rotation system," Agricultural Water Management, Elsevier, vol. 288(C).
    • Handle: RePEc:eee:agiwat:v:288:y:2023:i:c:s0378377423003360
    DOI: 10.1016/j.agwat.2023.108471
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423003360
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2023.108471?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. Yan, Haofang & Li, Mi & Zhang, Chuan & Zhang, Jianyun & Wang, Guoqing & Yu, Jianjun & Ma, Jiamin & Zhao, Shuang, 2022. "Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China," Agricultural Water Management, Elsevier, vol. 264(C).
    2. Mouatadid, Soukayna & Adamowski, Jan F. & Tiwari, Mukesh K. & Quilty, John M., 2019. "Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting," Agricultural Water Management, Elsevier, vol. 219(C), pages 72-85.
    3. Fawen, Li & Manjing, Zhang & Yong, Zhao & Rengui, Jiang, 2023. "Influence of irrigation and groundwater on the propagation of meteorological drought to agricultural drought," Agricultural Water Management, Elsevier, vol. 277(C).
    4. Conway, Gordon R., 1987. "The properties of agroecosystems," Agricultural Systems, Elsevier, vol. 24(2), pages 95-117.
    5. Tyagi, N. K. & Sharma, D. K. & Luthra, S. K., 2000. "Determination of evapotranspiration and crop coefficients of rice and sunflower with lysimeter," Agricultural Water Management, Elsevier, vol. 45(1), pages 41-54, June.
    6. 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).
    7. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    8. Kang, Shaozhong & Gu, Binjie & Du, Taisheng & Zhang, Jianhua, 2003. "Crop coefficient and ratio of transpiration to evapotranspiration of winter wheat and maize in a semi-humid region," Agricultural Water Management, Elsevier, vol. 59(3), pages 239-254, April.
    9. Gong, Xuewen & Qiu, Rangjian & Zhang, Baozhong & Wang, Shunsheng & Ge, Jiankun & Gao, Shikai & Yang, Zaiqiang, 2021. "Energy budget for tomato plants grown in a greenhouse in northern China," Agricultural Water Management, Elsevier, vol. 255(C).
    10. Zhang, Xiying & Chen, Suying & Sun, Hongyong & Shao, Liwei & Wang, Yanzhe, 2011. "Changes in evapotranspiration over irrigated winter wheat and maize in North China Plain over three decades," Agricultural Water Management, Elsevier, vol. 98(6), pages 1097-1104, April.
    11. Ding, Risheng & Kang, Shaozhong & Vargas, Rodrigo & Zhang, Yanqun & Hao, Xinmei, 2013. "Multiscale spectral analysis of temporal variability in evapotranspiration over irrigated cropland in an arid region," Agricultural Water Management, Elsevier, vol. 130(C), pages 79-89.
    12. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    Full references (including those not matched with items on IDEAS)

    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. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    2. Yan, Haofang & Deng, Shuaishuai & Zhang, Chuan & Wang, Guoqing & Zhao, Shuang & Li, Mi & Liang, Shaowei & Jiang, Jianhui & Zhou, Yudong, 2023. "Determination of energy partition of a cucumber grown Venlo-type greenhouse in southeast China," Agricultural Water Management, Elsevier, vol. 276(C).
    3. Zhao, Nana & Liu, Yu & Cai, Jiabing & Paredes, Paula & Rosa, Ricardo D. & Pereira, Luis S., 2013. "Dual crop coefficient modelling applied to the winter wheat–summer maize crop sequence in North China Plain: Basal crop coefficients and soil evaporation component," Agricultural Water Management, Elsevier, vol. 117(C), pages 93-105.
    4. Lu, Yingjie & Li, Tao & Hu, Hui & Zeng, Xuemei, 2023. "Short-term prediction of reference crop evapotranspiration based on machine learning with different decomposition methods in arid areas of China," Agricultural Water Management, Elsevier, vol. 279(C).
    5. Shukla, S. & Shrestha, N.K. & Jaber, F.H. & Srivastava, S. & Obreza, T.A. & Boman, B.J., 2014. "Evapotranspiration and crop coefficient for watermelon grown under plastic mulched conditions in sub-tropical Florida," Agricultural Water Management, Elsevier, vol. 132(C), pages 1-9.
    6. Flumignan, Danilton Luiz & de Faria, Rogério Teixeira & Prete, Cássio Egídio Cavenaghi, 2011. "Evapotranspiration components and dual crop coefficients of coffee trees during crop production," Agricultural Water Management, Elsevier, vol. 98(5), pages 791-800, March.
    7. Ding, Risheng & Kang, Shaozhong & Vargas, Rodrigo & Zhang, Yanqun & Hao, Xinmei, 2013. "Multiscale spectral analysis of temporal variability in evapotranspiration over irrigated cropland in an arid region," Agricultural Water Management, Elsevier, vol. 130(C), pages 79-89.
    8. Zhao, Wenzhi & Liu, Bing & Zhang, Zhihui, 2010. "Water requirements of maize in the middle Heihe River basin, China," Agricultural Water Management, Elsevier, vol. 97(2), pages 215-223, February.
    9. Qiu, Rangjian & Luo, Yufeng & Wu, Jingwei & Zhang, Baozhong & Liu, Zhihe & Agathokleous, Evgenios & Yang, Xiumei & Hu, Wei & Clothier, Brent, 2023. "Short–term forecasting of daily evapotranspiration from rice using a modified Priestley–Taylor model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 277(C).
    10. Qiu, Rangjian & Liu, Chunwei & Cui, Ningbo & Wu, Youjie & Wang, Zhenchang & Li, Gen, 2019. "Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system," Agricultural Water Management, Elsevier, vol. 224(C), pages 1-1.
    11. Feng, Xuyu & Liu, Haijun & Feng, Dongxue & Tang, Xiaopei & Li, Lun & Chang, Jie & Tanny, Josef & Liu, Ronghao, 2023. "Quantifying winter wheat evapotranspiration and crop coefficients under sprinkler irrigation using eddy covariance technology in the North China Plain," Agricultural Water Management, Elsevier, vol. 277(C).
    12. Mingze Yao & Manman Gao & Jingkuan Wang & Bo Li & Lizhen Mao & Mingyu Zhao & Zhanyang Xu & Hongfei Niu & Tieliang Wang & Lei Sun & Dongshuang Niu, 2023. "Estimating Evapotranspiration of Greenhouse Tomato under Different Irrigation Levels Using a Modified Dual Crop Coefficient Model in Northeast China," Agriculture, MDPI, vol. 13(9), pages 1-19, September.
    13. Nam, Won-Ho & Hong, Eun-Mi & Choi, Jin-Yong, 2015. "Has climate change already affected the spatial distribution and temporal trends of reference evapotranspiration in South Korea?," Agricultural Water Management, Elsevier, vol. 150(C), pages 129-138.
    14. Ding, Risheng & Kang, Shaozhong & Zhang, Yanqun & Hao, Xinmei & Tong, Ling & Du, Taisheng, 2013. "Partitioning evapotranspiration into soil evaporation and transpiration using a modified dual crop coefficient model in irrigated maize field with ground-mulching," Agricultural Water Management, Elsevier, vol. 127(C), pages 85-96.
    15. Alba Rocio Gutierrez Garzon & Pete Bettinger & Jacek Siry & Bin Mei & Jesse Abrams, 2019. "The Terms Foresters and Planners in the United States Use to Infer Sustainability in Forest Management Plans: A Survey Analysis," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    16. Gao, Yang & Yang, Linlin & Shen, Xiaojun & Li, Xinqiang & Sun, Jingsheng & Duan, Aiwang & Wu, Laosheng, 2014. "Winter wheat with subsurface drip irrigation (SDI): Crop coefficients, water-use estimates, and effects of SDI on grain yield and water use efficiency," Agricultural Water Management, Elsevier, vol. 146(C), pages 1-10.
    17. Clement A. Tisdell, 2014. "Sustainable agriculture," Chapters, in: Giles Atkinson & Simon Dietz & Eric Neumayer & Matthew Agarwala (ed.), Handbook of Sustainable Development, chapter 32, pages 517-531, Edward Elgar Publishing.
    18. Ethan Gordon & Federico Davila & Chris Riedy, 2022. "Transforming landscapes and mindscapes through regenerative agriculture," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 39(2), pages 809-826, June.
    19. Holst, Jirko & Liu, Wenping & Zhang, Qian & Doluschitz, Reiner, 2014. "Crop evapotranspiration, arable cropping systems and water sustainability in southern Hebei, P.R. China," Agricultural Water Management, Elsevier, vol. 141(C), pages 47-54.
    20. Choudhury, B.U. & Singh, Anil Kumar & Pradhan, S., 2013. "Estimation of crop coefficients of dry-seeded irrigated rice–wheat rotation on raised beds by field water balance method in the Indo-Gangetic plains, India," Agricultural Water Management, Elsevier, vol. 123(C), pages 20-31.

    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:288:y:2023:i:c:s0378377423003360. 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.