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A dynamic surface conductance to predict crop water use from partial to full canopy cover

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  • Ding, Risheng
  • Kang, Shaozhong
  • Zhang, Yanqun
  • Hao, Xinmei
  • Tong, Ling
  • Li, Sien

Abstract

The Penman–Monteith (P–M) equation has been widely used to predict crop water use or evapotranspiration (ET) due to its simplicity and biophysically robust framework. Surface conductance (Gs), a key variable reflecting crop physiological and soil physical responses to changing environment, often is a significant impediment to the practical application of the P–M equation. Here, we derived a dynamic biophysical model of Gs after incorporating the combined contributions of crop canopy and soil based on: (a) dynamic fraction of canopy cover; (b) response of stomata to radiation intercepted by crop canopy, vapor pressure deficit, and soil water availability in the root zone; and (c) soil evaporation coefficient affected by radiation reaching soil surface and soil moisture. The dynamic Gs model with the P–M equation can predict the variation of Gs and ET from partial to full canopy cover as crop growing. The model was parameterized by measurements using the eddy covariance technique over an irrigated maize field in 2009, and validated using independent data in 2010. We found good data-model agreements between ET predicted by the dynamic Gs model with P–M equation and measurements for both half-hourly and daily time-scales from partial to full canopy cover. The model also produced satisfactory estimation for soil evaporation. Therefore, the model is an alternative approach to predict ET using P–M equation for partial to full crop canopy cover.

Suggested Citation

  • Ding, Risheng & Kang, Shaozhong & Zhang, Yanqun & Hao, Xinmei & Tong, Ling & Li, Sien, 2015. "A dynamic surface conductance to predict crop water use from partial to full canopy cover," Agricultural Water Management, Elsevier, vol. 150(C), pages 1-8.
    • Handle: RePEc:eee:agiwat:v:150:y:2015:i:c:p:1-8
    DOI: 10.1016/j.agwat.2014.11.010
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    References listed on IDEAS

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    1. Ding, Risheng & Kang, Shaozhong & Li, Fusheng & Zhang, Yanqun & Tong, Ling & Sun, Qingyu, 2010. "Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China," Agricultural Water Management, Elsevier, vol. 98(1), pages 87-95, December.
    2. Ortega-Farias, Samuel Orlando & Olioso, A. & Fuentes, S. & Valdes, H., 2006. "Latent heat flux over a furrow-irrigated tomato crop using Penman-Monteith equation with a variable surface canopy resistance," Agricultural Water Management, Elsevier, vol. 82(3), pages 421-432, April.
    3. Katerji, Nader & Campi, Pasquale & Mastrorilli, Marcello, 2013. "Productivity, evapotranspiration, and water use efficiency of corn and tomato crops simulated by AquaCrop under contrasting water stress conditions in the Mediterranean region," Agricultural Water Management, Elsevier, vol. 130(C), pages 14-26.
    4. 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.
    5. Rana, G. & Katerji, N. & Lazzara, P. & Ferrara, R.M., 2012. "Operational determination of daily actual evapotranspiration of irrigated tomato crops under Mediterranean conditions by one-step and two-step models: Multiannual and local evaluations," Agricultural Water Management, Elsevier, vol. 115(C), pages 285-296.
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    3. Yu, Qihua & Kang, Shaozhong & Zhang, Lu & Hu, Shunjun & Li, Yunfeng & Parsons, David, 2023. "Incorporating new functions into the WAVES model, to better simulate cotton production under film mulching and severe salinity," Agricultural Water Management, Elsevier, vol. 288(C).
    4. Galleguillos, Mauricio & Jacob, Frédéric & Prévot, Laurent & Faúndez, Carlos & Bsaibes, Aline, 2017. "Estimation of actual evapotranspiration over a rainfed vineyard using a 1-D water transfer model: A case study within a Mediterranean watershed," Agricultural Water Management, Elsevier, vol. 184(C), pages 67-76.
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