IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v289y2023ics0378377423004067.html
   My bibliography  Save this article

Inter-comparison of the Penman-Monteith type model in modeling the evapotranspiration and its components in an orchard plantation of Southwest China

Author

Listed:
  • Cui, Ningbo
  • He, Ziling
  • Jiang, Shouzheng
  • Wang, Mingjun
  • Yu, Xiuyun
  • Zhao, Lu
  • Qiu, Rangjian
  • Gong, Daozhi
  • Wang, Yaosheng
  • Feng, Yu

Abstract

Crop evapotranspiration (ET) along with its components (canopy transpiration (T) and soil evaporation (E)) estimates are crucial for agroecosystem hydrological process research and developing agricultural water-saving strategies. An inter-comparison of the Penman-Monteith type model, including Penman-Monteith (PM), Shuttleworth-Wallace (S-W), Two-Patch (T-P) and topography- and vegetation-based surface energy partitioning algorithm (TVET), Clumping (CL) and developed Two patch-Two layer (T-T) model was conducted to estimate ET and its components in a kiwifruit orchard. Results showed that all models can well capture the pattern of eddy covariance-based hourly ET (ETEC), with a slope of 0.82–1.10, R2 of 0.78–0.83, and RMSE of 0.039–0.049 mm 0.5 h–1, and yield relatively reliable estimates validated by sap flow-based hourly T, with a slope of 0.93–1.16, R2 of 0.72–0.79, and RMSE 0.017–0.026 mm 0.5 h–1. All the P-M type models agreed well with the daily ETEC, with a slope of 0.88–1.21, R2 of 0.82–0.86, and RMSE of 0.55–0.88 mm d–1, respectively. S-W overestimated actual ET due to overestimation in both T and E, T-P and TVET models overestimated T but underestimated actual E as they ignored the soil contribution under the canopy. T-T model outperformed other models in daily ET, T, and E estimates, with R2 of 0.86, 0.73 and 0.73, and RMSE of 0.56, 0.39 and 0.46 mm d–1, respectively. The output ET and T of the different P-M type models were most sensitive to canopy resistance (rsc), while E is most sensitive to aerodynamic resistance between substrate and crop canopy. Net radiation was the most crucial meteorological factor affecting ET, T and E, as it directly participated in the energy balance calculation. The output T was sensitive to air temperature since it affected rsc, while E was relatively sensitive to soil water content since it greatly changed soil surface resistance.

Suggested Citation

  • Cui, Ningbo & He, Ziling & Jiang, Shouzheng & Wang, Mingjun & Yu, Xiuyun & Zhao, Lu & Qiu, Rangjian & Gong, Daozhi & Wang, Yaosheng & Feng, Yu, 2023. "Inter-comparison of the Penman-Monteith type model in modeling the evapotranspiration and its components in an orchard plantation of Southwest China," Agricultural Water Management, Elsevier, vol. 289(C).
  • Handle: RePEc:eee:agiwat:v:289:y:2023:i:c:s0378377423004067
    DOI: 10.1016/j.agwat.2023.108541
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377423004067
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.agwat.2023.108541?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. Jiang, Xuelian & Kang, Shaozhong & Tong, Ling & Li, Sien & Ding, Risheng & Du, Taisheng, 2019. "Modeling evapotranspiration and its components of maize for seed production in an arid region of northwest China using a dual crop coefficient and multisource models," Agricultural Water Management, Elsevier, vol. 222(C), pages 105-117.
    2. Scott Jasechko & Zachary D. Sharp & John J. Gibson & S. Jean Birks & Yi Yi & Peter J. Fawcett, 2013. "Terrestrial water fluxes dominated by transpiration," Nature, Nature, vol. 496(7445), pages 347-350, April.
    3. Xu, Junzeng & Liu, Xiaoyin & Yang, Shihong & Qi, Zhiming & Wang, Yijiang, 2017. "Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation," Agricultural Water Management, Elsevier, vol. 182(C), pages 55-66.
    4. Zhao, Peng & Li, Sien & Li, Fusheng & Du, Taisheng & Tong, Ling & Kang, Shaozhong, 2015. "Comparison of dual crop coefficient method and Shuttleworth–Wallace model in evapotranspiration partitioning in a vineyard of northwest China," Agricultural Water Management, Elsevier, vol. 160(C), pages 41-56.
    5. Madeleine Pascolini-Campbell & John T. Reager & Hrishikesh A. Chandanpurkar & Matthew Rodell, 2021. "RETRACTED ARTICLE: A 10 per cent increase in global land evapotranspiration from 2003 to 2019," Nature, Nature, vol. 593(7860), pages 543-547, May.
    6. Jiang, Shouzheng & Zhao, Lu & Liang, Chuan & Hu, Xiaotao & Yaosheng, Wang & Gong, Daozhi & Zheng, Shunsheng & Huang, Yaowei & He, QingYan & Cui, Ningbo, 2022. "Leaf- and ecosystem-scale water use efficiency and their controlling factors of a kiwifruit orchard in the humid region of Southwest China," Agricultural Water Management, Elsevier, vol. 260(C).
    7. Paredes, P. & Rodrigues, G.C. & Alves, I. & Pereira, L.S., 2014. "Partitioning evapotranspiration, yield prediction and economic returns of maize under various irrigation management strategies," Agricultural Water Management, Elsevier, vol. 135(C), pages 27-39.
    8. Molina, A.J. & Aranda, X. & Carta, G. & Llorens, P. & Romero, R. & Savé, R. & Biel, C., 2016. "Effect of irrigation on sap flux density variability and water use estimate in cherry (Prunus avium) for timber production: Azimuthal profile, radial profile and sapwood estimation," Agricultural Water Management, Elsevier, vol. 164(P1), pages 118-126.
    9. Gong, Xuewen & Liu, Hao & Sun, Jingsheng & Gao, Yang & Zhang, Hao, 2019. "Comparison of Shuttleworth-Wallace model and dual crop coefficient method for estimating evapotranspiration of tomato cultivated in a solar greenhouse," Agricultural Water Management, Elsevier, vol. 217(C), pages 141-153.
    10. Xu Lian & Shilong Piao & Chris Huntingford & Yue Li & Zhenzhong Zeng & Xuhui Wang & Philippe Ciais & Tim R. McVicar & Shushi Peng & Catherine Ottlé & Hui Yang & Yuting Yang & Yongqiang Zhang & Tao Wan, 2018. "Partitioning global land evapotranspiration using CMIP5 models constrained by observations," Nature Climate Change, Nature, vol. 8(7), pages 640-646, July.
    11. Athanasios Margonis & Georgia Papaioannou & Petros Kerkides & Gianna Kitsara & George Bourazanis, 2018. "Canopy Resistance and Actual Evapotranspiration over an Olive Orchard," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(15), pages 5007-5026, December.
    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. Dong, Juan & Xing, Liwen & Cui, Ningbo & Zhao, Lu & Guo, Li & Wang, Zhihui & Du, Taisheng & Tan, Mingdong & Gong, Daozhi, 2024. "Estimating reference crop evapotranspiration using improved convolutional bidirectional long short-term memory network by multi-head attention mechanism in the four climatic zones of China," Agricultural Water Management, Elsevier, vol. 292(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. Haofang Yan & Song Huang & Jianyun Zhang & Chuan Zhang & Guoqing Wang & Lanlan Li & Shuang Zhao & Mi Li & Baoshan Zhao, 2022. "Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China," Agriculture, MDPI, vol. 12(9), pages 1-17, September.
    2. 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.
    3. Rosa, R.D. & Ramos, T.B. & Pereira, L.S., 2016. "The dual Kc approach to assess maize and sweet sorghum transpiration and soil evaporation under saline conditions: Application of the SIMDualKc model," Agricultural Water Management, Elsevier, vol. 177(C), pages 77-94.
    4. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
    5. Chen, Han & Huang, Jinhui Jeanne & McBean, Edward, 2020. "Partitioning of daily evapotranspiration using a modified shuttleworth-wallace model, random Forest and support vector regression, for a cabbage farmland," Agricultural Water Management, Elsevier, vol. 228(C).
    6. Kang, Jian & Hao, Xinmei & Zhou, Huiping & Ding, Risheng, 2021. "An integrated strategy for improving water use efficiency by understanding physiological mechanisms of crops responding to water deficit: Present and prospect," Agricultural Water Management, Elsevier, vol. 255(C).
    7. Diarra, A. & Jarlan, L. & Er-Raki, S. & Le Page, M. & Aouade, G. & Tavernier, A. & Boulet, G. & Ezzahar, J. & Merlin, O. & Khabba, S., 2017. "Performance of the two-source energy budget (TSEB) model for the monitoring of evapotranspiration over irrigated annual crops in North Africa," Agricultural Water Management, Elsevier, vol. 193(C), pages 71-88.
    8. Qin, Shujing & Li, Sien & Cheng, Lei & Zhang, Lu & Qiu, Rangjian & Liu, Pan & Xi, Haiyang, 2023. "Partitioning evapotranspiration in partially mulched interplanted croplands by improving the Shuttleworth-Wallace model," Agricultural Water Management, Elsevier, vol. 276(C).
    9. Paredes, Paula & Pereira, Luis S. & Rodrigues, Gonçalo C. & Botelho, Nuno & Torres, Maria Odete, 2017. "Using the FAO dual crop coefficient approach to model water use and productivity of processing pea (Pisum sativum L.) as influenced by irrigation strategies," Agricultural Water Management, Elsevier, vol. 189(C), pages 5-18.
    10. Meng, Wei & Sun, Xihuan & Ma, Juanjuan & Guo, Xianghong & Lei, Tao & Li, Ruofan, 2019. "Measurement and simulation of the water storage pit irrigation trees evapotranspiration in the Loess Plateau," Agricultural Water Management, Elsevier, vol. 226(C).
    11. Ran, Hui & Kang, Shaozhong & Li, Fusheng & Tong, Ling & Ding, Risheng & Du, Taisheng & Li, Sien & Zhang, Xiaotao, 2017. "Performance of AquaCrop and SIMDualKc models in evapotranspiration partitioning on full and deficit irrigated maize for seed production under plastic film-mulch in an arid region of China," Agricultural Systems, Elsevier, vol. 151(C), pages 20-32.
    12. Yang, Danni & Li, Sien & Kang, Shaozhong & Du, Taisheng & Guo, Ping & Mao, Xiaomin & Tong, Ling & Hao, Xinmei & Ding, Risheng & Niu, Jun, 2020. "Effect of drip irrigation on wheat evapotranspiration, soil evaporation and transpiration in Northwest China," Agricultural Water Management, Elsevier, vol. 232(C).
    13. Du, Shaoqing & Kang, Shaozhong & Li, Fusheng & Du, Taisheng, 2017. "Water use efficiency is improved by alternate partial root-zone irrigation of apple in arid northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 184-192.
    14. Wu, Youjie & Du, Taisheng & Ding, Risheng & Yuan, Yusen & Li, Sien & Tong, Ling, 2017. "An isotope method to quantify soil evaporation and evaluate water vapor movement under plastic film mulch," Agricultural Water Management, Elsevier, vol. 184(C), pages 59-66.
    15. Zhu, Shihua & Fang, Xia & Cao, Liangzhong & Hang, Xin & Xie, Xiaoping & Sun, Liangxiao & Li, Yachun, 2023. "Multivariate drives and their interactive effects on the ratio of transpiration to evapotranspiration over Central Asia ecosystems," Ecological Modelling, Elsevier, vol. 478(C).
    16. Chintala, Syam & Karimindla, Arun Rao & Kambhammettu, BVN P., 2024. "Scaling relations between leaf and plant water use efficiencies in rainfed Cotton," Agricultural Water Management, Elsevier, vol. 292(C).
    17. 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).
    18. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    19. Monjardino, Marta & Harrison, Matthew T. & DeVoil, Peter & Rodriguez, Daniel & Sadras, Victor O., 2022. "Agronomic and on-farm infrastructure adaptations to manage economic risk in Australian irrigated broadacre systems: A case study," Agricultural Water Management, Elsevier, vol. 269(C).
    20. Qin, Shujing & Li, Sien & Kang, Shaozhong & Du, Taisheng & Tong, Ling & Ding, Risheng & Wang, Yahui & Guo, Hui, 2019. "Transpiration of female and male parents of seed maize in northwest China," Agricultural Water Management, Elsevier, vol. 213(C), pages 397-409.

    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:289:y:2023:i:c:s0378377423004067. 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.