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Rice evapotranspiration at the field and canopy scales under water-saving irrigation

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Abstract

Evapotranspiration (ET) is an important process of land surface water and thermal cycling, with large temporal and spatial variability. To reveal the effect of water-saving irrigation (WSI) on rice ET at different spatial scales and understand the cross spatial scale difference, rice ET under WSI condition at canopy (ETCML) and field scale (ETEC) were measured simultaneously by mini-lysimeter and eddy covariance (EC) in the rice season of 2014. To overcome the shortage of energy balance deficit by EC system, and evaluate the influence of energy balance closure degree on ETEC, ETEC was corrected as \({\text{ET}}_{\text{EC}}^{*}\) by energy balance closure correction according to the evaporative fraction. Seasonal average daily ETEC, \({\text{ET}}_{\text{EC}}^{*}\) and ETCML of rice under WSI practice were estimated as 3.12, 4.03 and 4.35 mm day−1, smaller than the values reported in flooded paddy fields. Daily ETEC, \({\text{ET}}_{\text{EC}}^{*}\) and ETCML varied in a similar trends and reached the maximum in late tillering, then decreased along with the crop growth in late season. The value of ETEC was much lower than ETCML, and was frequently 1–2 h lagged behind ETCML. It indicated that the energy balance deficit resulted in underestimation of crop ET by EC system. The corrected value of \({\text{ET}}_{\text{EC}}^{*}\) matched ETCML much better than ETEC, with a smaller RMSE (0.086 mm h−1) and higher R 2 (0.843) and IOA (0.961). The time lapse between \({\text{ET}}_{\text{EC}}^{*}\) and ETCML was mostly shortened to less than 0.5 h. The multiple stepwise regression analysis indicated that net radiation (R n) is the dominant factor for rice ET, and soil moisture (θ) is another significant factor (p < 0.01) in WSI rice fields. The difference between ETCML and \({\text{ET}}_{\text{EC}}^{*}\) (\({\text{ET}}_{\text{CML}} - {\text{ET}}_{\text{EC}}^{*}\)) were significantly (p < 0.05) correlated with R n, air temperature (T a), and air vapor pressure deficit (D), and its partial correlation coefficients to R n and T a were slightly greater than D. Thus, R n, T a and D are important variables for understanding the spatial scale effect of rice ET in WSI fields, and for its cross scale conversion.

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References

  • Abdullahi AS, Soom M, Amin M, Ahmad D, Shariff M, Rashid A (2013) Characterization of rice (Oryza sativa) evapotranspiration using micro paddy lysimeter and class “A” pan in tropical environments. Aust J Crop Sci 7:650–658

    Google Scholar 

  • Alberto MCR, Wassmann R, Hirano T, Miyata A, Hatano R, Kumar A, Padre A, Amante M (2011) Comparisons of energy balance and evapotranspiration between flooded and aerobic rice fields in the Philippines. Agric Water Manag 98(9):1417–1430

    Article  Google Scholar 

  • Alfieri JG, Kustas WP, Prueger JH, Hipps LE, Evett SR, Basara JB, Neale CM, French AN, Colaizzi P, Agam N (2012) On the discrepancy between eddy covariance and lysimetry-based surface flux measurements under strongly advective conditions. Adv Water Resour 50:62–78

    Article  Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration-guidelines for computing crop water requirements-FAO irrigation and drainage paper 56. FAO, Rome, p 300

    Google Scholar 

  • Anderson R, Wang D (2014) Energy budget closure observed in paired Eddy covariance towers with increased and continuous daily turbulence. Agric For Meteorol 184:204–209

    Article  Google Scholar 

  • Anthoni PM, Freibauer A, Kolle O, Schulze E-D (2004) Winter wheat carbon exchange in Thuringia, Germany. Agric For Meteorol 121:55–67

    Article  Google Scholar 

  • Aubinet M, Vesala T, Papale D (2012) Eddy covariance: a practical guide to measurement and data analysis. Springer 2012:365–376

    Google Scholar 

  • Baldocchi DD (2003) Assessing the eddy covariance technique for evaluating carbon dioxide exchange rates of ecosystems: past, present and future. Glob Change Biol 9(4):479–492

    Article  Google Scholar 

  • Baldocchi DD, Wilson KB (2001) Modelling CO2 and water vapor exchange of a temperate broadleaved forest across hourly to decadal time scales. Ecol Model 142(1/2):155–184

    Article  Google Scholar 

  • Belder P, Bouman B, Cabangon R, Guoan L, Quilang E, Yuanhua L, Spiertz J, Tuong T (2004) Effect of water-saving irrigation on rice yield and water use in typical lowland conditions in Asia. Agric Water Manag 65(3):193–210

    Article  Google Scholar 

  • Bormann H (2011) Sensitivity analysis of 18 different potential evapotranspiration models to observed climatic change at German climate stations. Clim Change 104(3–4):729–753

    Article  Google Scholar 

  • Cai JB, Xu D, Liu Y, Zhao NN (2010) Scaling effects and transformation of crop evapotranspiration for winter wheat after reviving. Chin J Hydraul Eng 41(7):862–869

    Google Scholar 

  • Chávez JL, Howell TA, Copeland KS (2009) Evaluating eddy covariance cotton ET measurements in an advective environment with large weighing lysimeters. Irrig Sci 28(1):35–50

    Article  Google Scholar 

  • Clark GA, Smajstrla AG, Zazueta FS (1993) Atmospheric parameters which affect evapotranspiration/IFAS extension. University of Florida CIR822, Florida, pp 1–6

  • Deng H, Wang W, Cheng D (2011) Analysis on the change laws of evapotranspiration and its influencing factors in arid areas. Int Symp Water Resour Environ Prot 1:346–349

    Google Scholar 

  • Ding R, Kang S, Li F, Zhang Y, Tong L, Sun Q (2010) Evaluating eddy covariance method by large-scale weighing lysimeter in a maize field of northwest China. Agric Water Manag 98(1):87–95

    Article  Google Scholar 

  • Evett SR, Schwartz RC, Howell TA, Louis Baumhardt R, Copeland KS (2012) Can weighing lysimeter ET represent surrounding field ET well enough to test flux station measurements of daily and sub-daily ET? Adv Water Resour 50(6):79–90

    Article  Google Scholar 

  • Falge E, Baldocchi D, Olson R, Anthoni P, Aubinet M, Bernhofer C, Burba G, Ceulemans R, Clement R, Dolman H (2001) Gap filling strategies for long term energy flux data sets. Agric For Meteorol 107(1):71–77

    Article  Google Scholar 

  • Foken T (2008) The energy balance closure problem: an overview. Ecol Appl 18(6):1351–1367

    Article  Google Scholar 

  • Foken T, Wichura B, Klemm O, Gerchau J, Winterhalter M, Weidinger T (2001) Micrometeorological measurements during the total solar eclipse of August 11, 1999. Meteorol Z 10(3):171–178

    Article  Google Scholar 

  • Foken T, Wimmer F, Mauder M, Thomas C, Liebethal C (2006) Some aspects of the energy balance closure problem. Atmos Chem Phys 6(2):4395–4402

    Article  Google Scholar 

  • Gebler S, Hendricks Franssen HJ, Pütz T, Post H, Schmidt M, Vereecken H (2014) Actual evapotranspiration and precipitation measured by lysimeters: a comparison with eddy covariance and tipping bucket. Hydrol Earth Syst Sci 19(5):2145–2161

    Article  Google Scholar 

  • Girona J, del Campo J, Mata M, Lopez G, Marsal J (2011) A comparative study of apple and pear tree water consumption measured with two weighing lysimeters. Irrig Sci 29(1):55–63

    Article  Google Scholar 

  • Gu J, Smith EA, Merritt JD (1999) Testing energy balance closure with GOES-retrieved net radiation and in situ measured eddy correlation fluxes in BOREAS. J Geophys Res (1984–2012) 104(D22):27881–27893

    Article  Google Scholar 

  • Hassan (2005) Estimation of rice evapotranspiration in paddy fields using remote sensing and field measurements. Universiti Putra Malaysia, Malaysia

    Google Scholar 

  • Hatala JA, Detto M, Sonnentag O, Deverel SJ, Verfaillie J, Baldocchi DD (2012) Greenhouse gas (CO2, CH4, H2O) fluxes from drained and flooded agricultural peatlands in the sacramento-san joaquin delta. Agric Ecosyst Environ 150(6):1–18

    Article  Google Scholar 

  • Heitman JL, Horton R, Sauer TJ, Ren TS, Xiao X (2010) Latent heat in soil heat flux measurements. Agric For Meteorol 150(7–8):1147–1153

    Article  Google Scholar 

  • Heusinkveld BG, Jacobs AFG, Holtslag AAM, Berkowicz SM (2004) Surface energy balance closure in an arid region: role of soil heat flux. Agric For Meteorol 122(1–2):21–37

    Article  Google Scholar 

  • Hossen MS, Mano M, Miyata A, Baten MA, Hiyama T (2012) Surface energy partitioning and evapotranspiration over a double-cropping paddy field in bangladesh. Hydrol Process 26(26):1311–1320

    Article  Google Scholar 

  • JICA and DID (1998) The study on modernization of irrigation water management system in the Granary area of Peninsular Malaysia. Final Report, March 1998, Japan International Cooperation

  • Kato T, Kimura R, Kamichika M (2004a) Estimation of evapotranspiration, transpiration ratio and water-use efficiency from a sparse canopy using a compartment model. Agric Water Manag 65(3):173–191

    Article  Google Scholar 

  • Kato T, Tang Y, Gu S, Cui X, Hirota M, Du M, Li Y, Zhao X, Oikawa T (2004b) Carbon dioxide exchange between the atmosphere and an alpine meadow ecosystem on the Qinghai-Tibetan Plateau, China. Agric For Meteorol 124:121–134

    Article  Google Scholar 

  • Kato Y, Henry A, Fujita D, Katsura K, Kobayashi N, Serraj R (2011) Physiological characterization of introgression lines derived from an indica rice cultivar, IR64, adapted to drought and water-saving irrigation. Field Crop Res 123(2):130–138

    Article  Google Scholar 

  • Kessomkiat W, Hendricks Franssen HJ, Graf A, Vereecken H (2013) Estimating random errors of eddy covariance data: an extended two-tower approach. Agric For Meteorol 171–172:203–219

    Article  Google Scholar 

  • Kljun N, Calanca P, Rotach MP, Schmid HP (2004) A simple parameterisation for flux footprint predictions. Bound-Lay Meteorol 112:503–523

    Article  Google Scholar 

  • Kume T, Tanaka N, Kuraji K, Komatsu H, Yoshifuji N, Saitoh TM, Suzuki M, To Kumagai (2011) Ten-year evapotranspiration estimates in a Bornean tropical rainforest. Agric For Meteorol 151(9):1183–1192

    Article  Google Scholar 

  • Lage M, Bamouh A, Karrou M, El Mourid M (2003) Estimation of rice evapotranspiration using a microlysimeter technique and comparison with FAO Penman–Monteith and Pan evaporation methods under Moroccan conditions. Agronomie 23(7):625–631

    Article  Google Scholar 

  • Li Z, Yu G, Wen X, Zhang L, Ren C, Fu Y (2005) Energy balance closure at China FLUX sites. Sci China Ser D 48:51–62

    Google Scholar 

  • Li S, Kang S, Li F, Zhang L (2008) Evapotranspiration and crop coefficient of spring maize with plastic mulch using eddy covariance in northwest China. Agric Water Manag 95(11):1214–1222

    Article  Google Scholar 

  • Liu G, Liu Y, Cai J, Xu D (2011) Study on scale effect of farmland evapotranspiration and relationship with meteorological factors. Chin J Hydraul Eng 42(3):284–289

    Google Scholar 

  • Liu B, Hu JC, Zhang XS, Zhang FC (2014) Measurement simulation of hourly evapotranspiration in paddy field with different methods. Chin J Irrig Drain 33(4/5):369–373

    Google Scholar 

  • Mahrt L (2010) Computing turbulent fluxes near the surface: needed improvements. Agric For Meteorol 150(4):501–509

    Article  Google Scholar 

  • Masseroni D, Ravazzani G, Corbari C, Mancini M (2012) Turbulence integral length and footprint dimension with reference to experimental data measured over maize cultivation in Po Valley, Italy. Atmósfera 25(2):183–198

    Google Scholar 

  • Masseroni D, Ercolani G, Corbari C, Mancini M (2013) Accuracy of turbulent flux measurements through the use of high frequency data by eddy covariance tower: the case study of Landriano (PV), Italy. Ital J Agrometeorol 18(3):5–12

    Google Scholar 

  • Masseroni D, Corbari C, Mancini M (2014a) Limitations and improvements of the energy balance closure with reference to experimental data measured over a maize field. Atmósfera 27:335–352

    Article  Google Scholar 

  • Masseroni D, Facchi A, Romani M, Chiaradia EA, Gharsallah O, Gandolfi C (2014b) Surface energy flux measurements in a flooded and an aerobic rice field using a single eddy-covariance system. Paddy Water Environ 13(4):405–424

    Article  Google Scholar 

  • Massman W, Lee X (2002) Eddy covariance flux corrections and uncertainties in long-term studies of carbon and energy exchanges. Agric For Meteorol 113(1):121–144

    Article  Google Scholar 

  • Matsoukas C, Benas N, Hatzianastassiou N, Pavlakis K, Kanakidou M, Vardavas I (2011) Potential evaporation trends over land between 1983–2008: driven by radiative fluxes or vapour-pressure deficit? Atmos Chem Phys 11(15):7601–7616

    Article  Google Scholar 

  • Mauder M, Liebethal C, Göckede M, Leps J-P, Beyrich F, Foken T (2006) Processing and quality control of flux data during LITFASS-2003. Bound-Lay Meteorol 121(1):67–88

    Article  Google Scholar 

  • Mauder M, Oncley SP, Vogt R, Weidinger T, Ribeiro L, Bernhofer C, Foken T, Kohsiek W, de Bruin HAR, Liu H (2007) The energy balance experiment EBEX-2000. Part II: intercomparison of eddy-covariance sensors and post-field data processing methods. Bound-Lay Meteorol 123(1):29–54

    Article  Google Scholar 

  • Mauder M, Cuntz M, Drüe C, Graf A (2013) A strategy for quality and uncertainty assessment of long-term eddy-covariance measurements. Agric For Meteorol 169(4):122–135

    Article  Google Scholar 

  • Meyers T, Hollinger S (2004) An assessment of storage terms in the surface energy balance of maize soybean. Agric For Meteorol 125(1–2):105–115

    Article  Google Scholar 

  • Mikkelsen DS, De Datta SK (1991) Rice culture. Rice. Springer, Berlin, pp 103–186

    Chapter  Google Scholar 

  • Moore CJ (1986) Frequency response corrections for eddy correlation systems. Bound-Lay Meteorol 37(1–2):17–35

    Article  Google Scholar 

  • Ochsner TE, Sauer TJ, Horton R (2007) Soil heat storage measurements in energy balance studies. Agron J 99(1):311–319

    Article  Google Scholar 

  • Oncley SP, Delany AC, Horst TW, Tans PP (1993) Verification of flux measurement using relaxed eddy accumulation. Atmos Environ 27(15):2417–2426

    Article  Google Scholar 

  • Park H, Yamazaki T, Yamamoto K, Ohta T (2008) Tempo-spatial characteristics of energy budget and evapotranspiration in the eastern siberia. Agric For Meteorol 148(12):1990–2005

    Article  Google Scholar 

  • Peng SZ, Xu JZ (2009) Theory and model of high efficiency water saving irrigation in agriculture. Science Press, Beijing

    Google Scholar 

  • Peng SZ, Liu M, Yang SH, Xu JZ, Cai M, Wang YJ (2014) Analysis on evapotranspiration difference of paddy field under water-saving irrigation on field and plot scales. Trans CSAE 30:87–95

    Google Scholar 

  • Poblete-Echeverría C, Sepúlveda-Reyes D, Ortega-Farías S (2014) Effect of height and time lag on the estimation of sensible heat flux over a drip-irrigated vineyard using the surface renewal (SR) method across distinct phenological stages. Agric Water Manag 121:74–83

    Article  Google Scholar 

  • Rana G, Katerji N (2000) Measurement and estimation of actual evapotranspiration in the field under Mediterranean climate: a review. Eur J Agron 13(2):125–153

    Article  Google Scholar 

  • Reichstein M et al (2005) On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Glob Change Biol 11(9):1424–1439

    Article  Google Scholar 

  • Rothenberg SE, Feng X, Dong B, Shang L, Yin R, Yuan X (2011) Characterization of mercury species in brown and white rice (Oryza sativa L.) grown in water-saving paddies. Environ Pollut 159(5):1283–1289

    Article  Google Scholar 

  • Ruiz-Peñalver L, Vera-Repullo J, Jiménez-Buendía M, Guzmán I, Molina-Martínez J (2015) Development of an innovative low cost weighing lysimeter for potted plants: application in lysimetric stations. Agric Water Manag 151:103–113

    Article  Google Scholar 

  • Shuttleworth WJ (2007) Putting the “vap” into evaporation. Hydrol Earth Syst Sci 11(1):210–244

    Article  Google Scholar 

  • Timm AU, Roberti DR, Streck NA et al (2014) Energy partitioning and evapotranspiration over a rice paddy in southern brazil. J Hydrometeorol 15(5):1975–1988

    Article  Google Scholar 

  • Tomar VS, O’Toole JC (1980) Measurement of evapotranspiration in rice. In: World Meteorological Organization; International Rice Research Institute: Proceedings of a symposium on the agrometeorology of the rice crop. IRRI, pp 87–93

  • Tsai JL, Tsuang BJ, Lu PS, Yao MH, Shen Y (2007) Surface energy components and land characteristics of a rice paddy. J Appl Meteorol Clim 46(11):1879–1900

    Article  Google Scholar 

  • Tyagi NK, Sharma DK, Luthra SK (2000) Determination of evapotranspiration and crop coefficients of rice and sunflower with lysimeter. Agric Water Manag 45(1):41–54

    Article  Google Scholar 

  • Ueyama M, Hirata R, Mano M, Hamotani K, Harazono Y, Hirano T, Miyata A, Takagi K, Takahashi Y (2012) Influences of various calculation options on heat, water and carbon fluxes determined by open-and closed-path eddy covariance methods. Tellus B 64(1):91–102

    Article  Google Scholar 

  • Uphoff N, Kassam A, Harwood R (2011) SRI as a methodology for raising crop and water productivity: productive adaptations in rice agronomy and irrigation water management. Paddy Water Environ 9(1):3–11

    Article  Google Scholar 

  • Vickers D, Mahrt L (1997) Quality control and flux sampling problems for tower and aircraft data. J Atmos Ocean Technol 14(3):512–526

    Article  Google Scholar 

  • Wang K, Dickinson RE (2012) A review of global terrestrial evapotranspiration: observation, modeling, climatology, and climatic variability. Rev Geophys 50(2):RG2005

    Article  Google Scholar 

  • Wang X, Liu H, Zhang L, Zhang R (2014) Climate change trend and its effects on reference evapotranspiration at Linhe Station, Hetao Irrigation District. Water Sci Eng 7(3):250–266

    Google Scholar 

  • Wilson KB, Hanson PJ, Mulholland PJ, Baldocchi DD, Wullschleger SD (2001) A comparison of methods for determining forest evapotranspiration and its components: sap-flow, soil water budget, eddy covariance and catchment water balance. Agric For Meteorol 106(2):153–168

    Article  Google Scholar 

  • Wilson K, Goldstein A, Falge E, Aubinet M, Baldocchi D, Berbigier P, Bernhofer C, Ceulemans R, Dolman H, Field C (2002) Energy balance closure at FLUXNET sites. Agric For Meteorol 113:223–243

    Article  Google Scholar 

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Acknowledgements

The research was financially supported by the National Natural Science Foundation of China (No. 51209066), the Fundamental Research Funds for the Central Universities (Nos. 2014B17114, 2015B34514), Innovative Young Scholar Project of State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (No. 20145027912), the Priority Academic Program Development of Jiangsu Higher Education Institutions, and the Advanced Science and Technology Innovation Team in Colleges and Universities in Jiangsu Province.

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  1. State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, 1 Xikang Road, Nanjing, 210098, Jiangsu, People’s Republic of China

    Xiaoyin Liu, Junzeng Xu & Shihong Yang

  2. College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, 210098, Jiangsu, People’s Republic of China

    Xiaoyin Liu, Junzeng Xu & Shihong Yang

  3. Kunshan Water Conservancy Engineering Quality and Safety Supervision and Water Technology Popularization Station, Kunshan, 215300, Jiangsu, People’s Republic of China

    Jiangang Zhang

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  1. Xiaoyin Liu
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Correspondence to Shihong Yang.

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Liu, X., Xu, J., Yang, S. et al. Rice evapotranspiration at the field and canopy scales under water-saving irrigation. Meteorol Atmos Phys 130, 227–240 (2018). https://doi.org/10.1007/s00703-017-0507-z

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