IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v262y2022ics0378377421006715.html
   My bibliography  Save this article

Simulated effects of plastic film-mulched soil on surface energy fluxes based on optimized TSEB model in a drip-irrigated cotton field

Author

Listed:
  • Ochege, Friday Uchenna
  • Luo, Geping
  • Yuan, Xiuliang
  • Owusu, George
  • Li, Chaofan
  • Justine, Francis Meta

Abstract

The value-added by plastic film mulches are numerous in agricultural productivity and its global acceptance is unprecedented. However, its disturbing effects on the natural water cycling, surface energy fluxes and partitioning of evapotranspiration (ET) in drip-irrigated fields with plastic film mulch are often overlooked or not investigated due to deficiencies in existing process-based ET models. This study optimized the simulation of plastic film-mulched soil effects on surface energy fluxes by incorporating a thermal contact resistance component into a satellite derived Land Surface Temperature-based Two-Source Energy Balance (i.e.,TSEBPM) model, in a drip-irrigated cotton field for two consecutive growing seasons (2009 and 2010). The optimized model agrees better with Eddy Covariance (EC) flux tower observation and showed reduced error biases than the original TSEB model. The RMSE values decreased for the net radiation, latent, sensible and ground heat fluxes by 10.85, 1.93, 4.84, 0. 81 (Wm−2), respectively. Moreover, ET partitioning by TSEBPM revealed the actual contribution of evaporation (E) and transpiration (T) in cotton water use at different growth stages. When cotton growth reaches the ball-opening stage (i.e., harvesting period or cotton canopy coverage > 75%), the mean E/ET value was 0.20 ± 0.05, while T/ET was 0.79 ± 0.05 during the irrigation seasons. Meanwhile, the plastic mulching altered the reflected shortwave radiation, thereby impacting on surface albedo reflectance under well saturated cotton canopy. As such, the transpiration sub-model parameters such as fractionalvegetationcover and vegetationgreenfraction had influential effects, and are the most sensitive in the TSEBPM model parameterization. This study showed that TSEBPM can provide robust insights into the effects of plastic mulching on surface energy fluxes and cotton ET, therefore can be explored further across arid agroecosystems.

Suggested Citation

  • Ochege, Friday Uchenna & Luo, Geping & Yuan, Xiuliang & Owusu, George & Li, Chaofan & Justine, Francis Meta, 2022. "Simulated effects of plastic film-mulched soil on surface energy fluxes based on optimized TSEB model in a drip-irrigated cotton field," Agricultural Water Management, Elsevier, vol. 262(C).
  • Handle: RePEc:eee:agiwat:v:262:y:2022:i:c:s0378377421006715
    DOI: 10.1016/j.agwat.2021.107394
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377421006715
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2021.107394?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. Feng, Yu & Gong, Daozhi & Mei, Xurong & Hao, Weiping & Tang, Dahua & Cui, Ningbo, 2017. "Energy balance and partitioning in partial plastic mulched and non-mulched maize fields on the Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 191(C), pages 193-206.
    2. Zhang, Zhenyu & Li, Xiaoyu & Liu, Lijuan & Wang, Yugang & Li, Yan, 2020. "Influence of mulched drip irrigation on landscape scale evapotranspiration from farmland in an arid area," Agricultural Water Management, Elsevier, vol. 230(C).
    3. Li, Bo & Shi, Bijiao & Yao, Zhenzhu & Kumar Shukla, Manoj & Du, Taisheng, 2020. "Energy partitioning and microclimate of solar greenhouse under drip and furrow irrigation systems," Agricultural Water Management, Elsevier, vol. 234(C).
    4. Sobol′ , I.M, 2001. "Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 55(1), pages 271-280.
    5. Kato, Tomomichi & Kimura, Reiji & Kamichika, Makio, 2004. "Estimation of evapotranspiration, transpiration ratio and water-use efficiency from a sparse canopy using a compartment model," Agricultural Water Management, Elsevier, vol. 65(3), pages 173-191, March.
    6. Ibragimov, Nazirbay & Evett, Steven R. & Esanbekov, Yusupbek & Kamilov, Bakhtiyor S. & Mirzaev, Lutfullo & Lamers, John P.A., 2007. "Water use efficiency of irrigated cotton in Uzbekistan under drip and furrow irrigation," Agricultural Water Management, Elsevier, vol. 90(1-2), pages 112-120, May.
    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. Fu, Chong & Song, Xiaoyu & Li, Lanjun & Zhao, Xinkai & Meng, Pengfei & Wang, Long & Wei, Wanyin & Yang, Nan & Li, Huaiyou, 2023. "Combining the Generalized Complementary Relationship and the Modified Priestley-Taylor Equation to estimate and partition the evapotranspiration of typical plantations and grasslands in the Loess Plat," Agricultural Water Management, Elsevier, vol. 287(C).

    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. Qin, Shujing & Fan, Yangzhen & Li, Sien & Cheng, Lei & Zhang, Lu & Xi, Haiyang & Qiu, Rangjian & Liu, Pan, 2023. "Partitioning of available energy in canopy and soil surface in croplands with different irrigation methods," Agricultural Water Management, Elsevier, vol. 288(C).
    2. Zheng, Jing & Fan, Junliang & Zhang, Fucang & Wu, Lifeng & Zou, Yufeng & Zhuang, Qianlai, 2021. "Estimation of rainfed maize transpiration under various mulching methods using modified Jarvis-Stewart model and hybrid support vector machine model with whale optimization algorithm," Agricultural Water Management, Elsevier, vol. 249(C).
    3. 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).
    4. Komlan Koudahe & Aleksey Y. Sheshukov & Jonathan Aguilar & Koffi Djaman, 2021. "Irrigation-Water Management and Productivity of Cotton: A Review," Sustainability, MDPI, vol. 13(18), pages 1-21, September.
    5. Kenjabaev, Shavkat & Forkutsa, I. & Bach, M. & Frede, H.-G., 2013. "Performance evaluation of the BUDGET model in simulating cotton and wheat yield and soil moisture in Fergana valley," International Conference and Young Researchers Forum - Natural Resource Use in Central Asia: Institutional Challenges and the Contribution of Capacity Building 159114, University of Giessen (JLU Giessen), Center for International Development and Environmental Research.
    6. Jovanovic, N. & Pereira, L.S. & Paredes, P. & Pôças, I. & Cantore, V. & Todorovic, M., 2020. "A review of strategies, methods and technologies to reduce non-beneficial consumptive water use on farms considering the FAO56 methods," Agricultural Water Management, Elsevier, vol. 239(C).
    7. Xiaopei Tang & Haijun Liu & Li Yang & Lun Li & Jie Chang, 2022. "Energy Balance, Microclimate, and Crop Evapotranspiration of Winter Wheat ( Triticum aestivum L.) under Sprinkler Irrigation," Agriculture, MDPI, vol. 12(7), pages 1-23, June.
    8. Ping Wang & Zhenyong Zhao & Lei Wang & Changyan Tian, 2021. "Comparison of Efficiency-Enhanced Management and Conventional Management of Irrigation and Nitrogen Fertilization in Cotton Fields of Northwestern China," Agriculture, MDPI, vol. 11(11), pages 1-11, November.
    9. Wang, Weishu & Rong, Yao & Dai, Xiaoqin & Zhang, Chenglong & Wang, Chaozi & Huo, Zailin, 2024. "Variation and attribution of energy distribution for salinized sunflower farmland in arid area," Agricultural Water Management, Elsevier, vol. 297(C).
    10. Fan, Yubing & McCann, Laura M., 2017. "Farmers’ Adoption of Pressure Irrigation Systems and Scientific Scheduling Practices: An Application of Multilevel Models," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258458, Agricultural and Applied Economics Association.
    11. Wu, Jie & Feng, Yu & Liang, Lili & He, Xinyue & Zeng, Zhenzhong, 2022. "Assessing evapotranspiration observed from ECOSTRESS using flux measurements in agroecosystems," Agricultural Water Management, Elsevier, vol. 269(C).
    12. 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).
    13. Tahiri, Adel Zeggaf & Anyoji, H. & Yasuda, H., 2006. "Fixed and variable light extinction coefficients for estimating plant transpiration and soil evaporation under irrigated maize," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 186-192, July.
    14. Feng, Yu & Hao, Weiping & Li, Haoru & Cui, Ningbo & Gong, Daozhi & Gao, Lili, 2020. "Machine learning models to quantify and map daily global solar radiation and photovoltaic power," Renewable and Sustainable Energy Reviews, Elsevier, vol. 118(C).
    15. Pongspikul, Tayatorn & McCann, Laura M., 2020. "Farmers’ Adoption of Pressure Irrigation Systems: The Case of Cotton Producers in the Southeastern versus Southwestern U.S," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304332, Agricultural and Applied Economics Association.
    16. Fan, Yubing & Wang, Chenggang & Nan, Zhibiao, 2014. "Comparative evaluation of crop water use efficiency, economic analysis and net household profit simulation in arid Northwest China," Agricultural Water Management, Elsevier, vol. 146(C), pages 335-345.
    17. Wang, Donglin & Feng, Hao & Li, Yi & Zhang, Tibin & Dyck, Miles & Wu, Feng, 2019. "Energy input-output, water use efficiency and economics of winter wheat under gravel mulching in Northwest China," Agricultural Water Management, Elsevier, vol. 222(C), pages 354-366.
    18. Chen, Yongfan & Zhang, Zeshan & Wang, Xuejiao & Sun, Shuai & Zhang, Yutong & Wang, Sen & Yang, Mingfeng & Ji, Fen & Ji, Chunrong & Xiang, Dao & Zha, Tianshan & Zhang, Lizhen, 2022. "Sap velocity, transpiration and water use efficiency of drip-irrigated cotton in response to chemical topping and row spacing," Agricultural Water Management, Elsevier, vol. 267(C).
    19. Gao, Lei & Zhao, Peng & Kang, Shaozhong & Li, Sien & Tong, Ling & Ding, Risheng & Lu, Hongna, 2019. "Surface soil water content dominates the difference between ecosystem and canopy water use efficiency in a sparse vineyard," Agricultural Water Management, Elsevier, vol. 226(C).
    20. Wang, Yahui & Li, Sien & Qin, Shujing & Guo, Hui & Yang, Danni & Lam, Hon-Ming, 2020. "How can drip irrigation save water and reduce evapotranspiration compared to border irrigation in arid regions in northwest China," Agricultural Water Management, Elsevier, vol. 239(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:262:y:2022:i:c:s0378377421006715. 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.