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Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning

Author

Listed:
  • Anderson, Ray G.
  • Alfieri, Joseph G.
  • Tirado-Corbalá, Rebecca
  • Gartung, Jim
  • McKee, Lynn G.
  • Prueger, John H.
  • Wang, Dong
  • Ayars, James E.
  • Kustas, William P.

Abstract

Current approaches to scheduling crop irrigation using reference evapotranspiration (ET0) recommend using a dual-coefficient approach using basal (Kcb) and soil (Ke) coefficients along with a stress coefficient (Ks) to model crop evapotranspiration (ETc), [e.g. ETc=(Ks*Kcb+Ke)*ET0]. However, determining Ks, Kcb, and Ke from the combined evapotranspiration (ET) is challenging, particularly for Ke, and a new method is needed to more rapidly determine crop coefficients for novel cultivars and cultivation practices. In this study, we partition eddy covariance ET observations into evaporation (E) and transpiration (T) components using correlation structure analysis of high frequency (10–20Hz) observations of carbon dioxide and water vapor (Scanlon and Sahu, 2008) at three irrigated agricultural sites. These include a C4 photosynthetic-pathway species (sugarcane—Sacharum officinarum L.) and a C3 pathway species (peach—Prunus persica) under sub-surface drip and furrow irrigation, respectively. Both sites showed high overall Kc consistent with their height (>4m). The results showed differences in Ke, with the sub-surface drip-irrigated sugarcane having a low Ke (0.1). There was no significant relationship (r2<0.05) between root zone soil volumetric water content (VWC) in sugarcane and observed Kcb*Ks, indicating that there was no stress (Ks=1), while the peach orchard showed mid-season declines in Kcb*Ks when VWC declined below 0.2. Partitioning of Kc into Kcb and Ke resulted in a better regression (r2=0.43) between the Normalized Differential Vegetation Index (NDVI) and Kcb in sugarcane than between NDVI and Kc (r2=0.11). The results indicate the potential for correlation structure flux partitioning to improve crop ET coefficient determination by improved use of eddy covariance observations compared to traditional approaches of lysimeters and microlysimeters and sap flow observations to determine Kc, Ke, Ks, and Kcb.

Suggested Citation

  • Anderson, Ray G. & Alfieri, Joseph G. & Tirado-Corbalá, Rebecca & Gartung, Jim & McKee, Lynn G. & Prueger, John H. & Wang, Dong & Ayars, James E. & Kustas, William P., 2017. "Assessing FAO-56 dual crop coefficients using eddy covariance flux partitioning," Agricultural Water Management, Elsevier, vol. 179(C), pages 92-102.
    • Handle: RePEc:eee:agiwat:v:179:y:2017:i:c:p:92-102
    DOI: 10.1016/j.agwat.2016.07.027
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    1. Abrisqueta, I. & Abrisqueta, J.M. & Tapia, L.M. & Munguía, J.P. & Conejero, W. & Vera, J. & Ruiz-Sánchez, M.C., 2013. "Basal crop coefficients for early-season peach trees," Agricultural Water Management, Elsevier, vol. 121(C), pages 158-163.
    2. Liu, Yujie & Luo, Yi, 2010. "A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain," Agricultural Water Management, Elsevier, vol. 97(1), pages 31-40, January.
    3. 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.
    4. Li, Sien & Kang, Shaozhong & Li, Fusheng & Zhang, Lu, 2008. "Evapotranspiration and crop coefficient of spring maize with plastic mulch using eddy covariance in northwest China," Agricultural Water Management, Elsevier, vol. 95(11), pages 1214-1222, November.
    5. Amayreh, Jumah & Al-Abed, Nassim, 2005. "Developing crop coefficients for field-grown tomato (Lycopersicon esculentum Mill.) under drip irrigation with black plastic mulch," Agricultural Water Management, Elsevier, vol. 73(3), pages 247-254, May.
    6. Girona, J. & Mata, M. & Fereres, E. & Goldhamer, D. A. & Cohen, M., 2002. "Evapotranspiration and soil water dynamics of peach trees under water deficits," Agricultural Water Management, Elsevier, vol. 54(2), pages 107-122, March.
    7. Facchi, A. & Gharsallah, O. & Corbari, C. & Masseroni, D. & Mancini, M. & Gandolfi, C., 2013. "Determination of maize crop coefficients in humid climate regime using the eddy covariance technique," Agricultural Water Management, Elsevier, vol. 130(C), pages 131-141.
    8. Benli, Bogachan & Kodal, Suleyman & Ilbeyi, Adem & Ustun, Haluk, 2006. "Determination of evapotranspiration and basal crop coefficient of alfalfa with a weighing lysimeter," Agricultural Water Management, Elsevier, vol. 81(3), pages 358-370, March.
    9. Odhiambo, L.O. & Irmak, S., 2012. "Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration," Agricultural Water Management, Elsevier, vol. 104(C), pages 221-234.
    10. Paco, T.A. & Ferreira, M.I. & Conceicao, N., 2006. "Peach orchard evapotranspiration in a sandy soil: Comparison between eddy covariance measurements and estimates by the FAO 56 approach," Agricultural Water Management, Elsevier, vol. 85(3), pages 305-313, October.
    11. Cammalleri, C. & Rallo, G. & Agnese, C. & Ciraolo, G. & Minacapilli, M. & Provenzano, G., 2013. "Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard," Agricultural Water Management, Elsevier, vol. 120(C), pages 89-97.
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