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Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards

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  • Campos, Isidro
  • Balbontín, Claudio
  • González-Piqueras, Jose
  • González-Dugo, Maria P.
  • Neale, Christopher M.U.
  • Calera, Alfonso

Abstract

This research presents an algorithm developed for calibrating the soil water balance model (SWB) in terms of total available water in the soil root zone (TAW) assimilating actual evapotranspiration (ET) data. After calibration, the TAW value is used to estimate the actual ET and water stress processes at canopy scales. This methodology also allows for the estimation of the minimum TAW value that explains the ET rate in the absence of water stress. The model was applied in three vineyards grown under rain-fed, full irrigation and deficit irrigation conditions in La Mancha (southeast Spain) and the Alentejo (southern Portugal). The values of TAW obtained for the analyzed vineyards illustrate the variability of this parameter. TAW values varied from 180 to 390mm depending on the water availability for growing conditions. The use of these TAW values allowed for a precise estimation of the ET values, water content and water stress process for the validation campaigns. The RMSE values obtained when comparing measured and modelled ET were lower than 0.65mm/day for each analyzed seasonal campaign. The application of this methodology in operational scenarios will allow for the estimation of TAW for each site in order to optimize the irrigation applied, even in deficit irrigation schemes.

Suggested Citation

  • Campos, Isidro & Balbontín, Claudio & González-Piqueras, Jose & González-Dugo, Maria P. & Neale, Christopher M.U. & Calera, Alfonso, 2016. "Combining a water balance model with evapotranspiration measurements to estimate total available soil water in irrigated and rainfed vineyards," Agricultural Water Management, Elsevier, vol. 165(C), pages 141-152.
    • Handle: RePEc:eee:agiwat:v:165:y:2016:i:c:p:141-152
    DOI: 10.1016/j.agwat.2015.11.018
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    1. González-Dugo, M.P. & Escuin, S. & Cano, F. & Cifuentes, V. & Padilla, F.L.M. & Tirado, J.L. & Oyonarte, N. & Fernández, P. & Mateos, L., 2013. "Monitoring evapotranspiration of irrigated crops using crop coefficients derived from time series of satellite images. II. Application on basin scale," Agricultural Water Management, Elsevier, vol. 125(C), pages 92-104.
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    5. López-Vicente, Manuel & Álvarez, Sara, 2018. "Stability and patterns of topsoil water content in rainfed vineyards, olive groves, and cereal fields under different soil and tillage conditions," Agricultural Water Management, Elsevier, vol. 201(C), pages 167-176.
    6. López-López, Manuel & Espadafor, Mónica & Testi, Luca & Lorite, Ignacio Jesús & Orgaz, Francisco & Fereres, Elías, 2018. "Water use of irrigated almond trees when subjected to water deficits," Agricultural Water Management, Elsevier, vol. 195(C), pages 84-93.
    7. Campos, Isidro & Neale, Christopher M.U. & Suyker, Andrew E. & Arkebauer, Timothy J. & Gonçalves, Ivo Z., 2017. "Reflectance-based crop coefficients REDUX: For operational evapotranspiration estimates in the age of high producing hybrid varieties," Agricultural Water Management, Elsevier, vol. 187(C), pages 140-153.
    8. Gonçalves, Ivo Zution & Mekonnen, Mesfin M. & Neale, Christopher M.U. & Campos, Isidro & Neale, Michael R., 2020. "Temporal and spatial variations of irrigation water use for commercial corn fields in Central Nebraska," Agricultural Water Management, Elsevier, vol. 228(C).
    9. López-Urrea, R. & Sánchez, J.M. & de la Cruz, F. & González-Piqueras, J. & Chávez, J.L., 2020. "Evapotranspiration and crop coefficients from lysimeter measurements for sprinkler-irrigated canola," Agricultural Water Management, Elsevier, vol. 239(C).
    10. Yao, Ning & Li, Yi & Xu, Fang & Liu, Jian & Chen, Shang & Ma, Haijiao & Wai Chau, Henry & Liu, De Li & Li, Meng & Feng, Hao & Yu, Qiang & He, Jianqiang, 2020. "Permanent wilting point plays an important role in simulating winter wheat growth under water deficit conditions," Agricultural Water Management, Elsevier, vol. 229(C).
    11. Mathobo, Rudzani & Marais, Diana & Steyn, Joachim Martin, 2018. "Calibration and validation of the SWB model for dry beans (Phaseolus vulgaris L.) at different drought stress levels," Agricultural Water Management, Elsevier, vol. 202(C), pages 113-121.
    12. Campoy, Jaime & Campos, Isidro & Plaza, Carmen & Calera, María & Jiménez, Nuria & Bodas, Vicente & Calera, Alfonso, 2019. "Water use efficiency and light use efficiency in garlic using a remote sensing-based approach," Agricultural Water Management, Elsevier, vol. 219(C), pages 40-48.
    13. Gaudin, Rémi & Roux, Sébastien & Tisseyre, Bruno, 2017. "Linking the transpirable soil water content of a vineyard to predawn leaf water potential measurements," Agricultural Water Management, Elsevier, vol. 182(C), pages 13-23.
    14. Bispo, R.C. & Hernandez, F.B.T. & Gonçalves, I.Z. & Neale, C.M.U. & Teixeira, A.H.C., 2022. "Remote sensing based evapotranspiration modeling for sugarcane in Brazil using a hybrid approach," Agricultural Water Management, Elsevier, vol. 271(C).
    15. Helman, David & Bonfil, David J. & Lensky, Itamar M., 2019. "Crop RS-Met: A biophysical evapotranspiration and root-zone soil water content model for crops based on proximal sensing and meteorological data," Agricultural Water Management, Elsevier, vol. 211(C), pages 210-219.

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