Comparison of evapotranspiration and energy partitioning related to main biotic and abiotic controllers in vineyards using different irrigation methods

Abstract

Knowledge of evapotranspiration (ET) and energy partitioning is useful for optimizing water management, especially in areas where water is scarce. A study was undertaken in a furrow-irrigated vineyard (2015) and a drip-irrigated vineyard (2017) in an arid region of north-west China to compare vineyard ET and energy partitioning and their responses to soil water content (SWC) and leaf area index (LAI). ET and soil evaporation (E) and transpiration (T) were determined using eddy covariance, microlysimeters, and sap flow. Seasonal average E/ET, T/ET, crop coefficient (Kc), evaporation coefficient (Ke), and basal crop coefficient (Kcb) were 0.50, 0.50, 0.67, 0.35, and 0.29, respectively, in the furrow-irrigated vineyard and 0.42, 0.58, 0.57, 0.29, and 0.43 in the drip-irrigated vineyard. The seasonal average partitioning of net radiation (Rn) into the latent heat flux (LE), sensible heat flux (H) and soil heat flux (G) (LE/Rn, H/Rn, and G/Rn), evaporative fraction (EF) and Bowen ratio (β) were 0.57, 0.26, 0.17, 0.69 and 0.63, respectively, in the furrow-irrigated vineyard and 0.46, 0.36, 0.17, 0.57 and 0.97 in the drip-irrigated vineyard. The LE/Rn, H/Rn, EF, and β were linearly correlated with LAI. The E, Kc, Ke, E/ET, LE/Rn, LEs/Rn (ratio of LE by soil E to Rn), H/Rn, EF and β were closely correlated with topsoil SWC (10 cm depth). Responses of ET and energy partitioning to the LAI and SWC differed under the two irrigation methods. Drip irrigation reduced seasonal average E/ET and increased average T/ET. From the perspective of energy partitioning, seasonal average H/Rn increased whereas LE/Rn, especially LEs/Rn, decreased. Compared with furrow irrigation, drip irrigation decreased the proportion of unproductive water consumption thereby contributing to enhanced water use efficiency and accumulation of dry matter.

Keywords

crop coefficient / eddy covariance / microlysimeter / sap flow / soil evaporation / transpiration

References

[1] Du T S, Kang S Z, Xia G M, Yang X Y. Response of grapevine growth and water use to different partial root-zone drying patterns under drip irrigation. Transactions of the Chinese Society of Agricultural Engineering, 2005, 21(11): 43–48 (in Chinese)

[2] Zhang B Z, Kang S Z, Li F S, Tong L, Du T S. Variation in vineyard evapotranspiration in an arid region of northwest China. Agricultural Water Management, 2010, 97(11): 1898–1904

[3] Zhang Y Q, Kang S Z, Ward E J, Ding R S, Zhang X, Zheng R. Evapotranspiration components determined by sap flow and microlysimetry techniques of a vineyard in northwest China: dynamics and influential factors. Agricultural Water Management, 2011, 98(8): 1207–1214

[4] Kang S Z, Su X L, Tong L, Shi P Z, Yang X Y, Abe Y, Du T S, Shen Q L, Zhang J H. The impacts of human activities on the water-land environment of the Shiyang River Basin, an arid region in northwest. Hydrological Sciences Journal, 2004, 49(3): 413–427

[5] Kang S Z, Su X L, Tong L, Zhang J H, Zhang L, Davies W J. A warning from an ancient oasis: intensive human activities are leading to potential ecological and social catastrophe. International Journal of Sustainable Development and World Ecology, 2008, 15(5): 440–447

[6] Kang S Z, Hao X M, Du T S, Tong L, Su X L, Lu H N, Li X L, Huo Z L, Li S E, Ding R S. Improving agricultural water productivity to ensure food security in China under changing environment: from research to practice. Agricultural Water Management, 2016, 179: 5–17

[7] Kool D, Agam N, Lazarovitch N, Heitman J L, Sauer T J, Ben-Gal A. A review of approaches for evapotranspiration partitioning. Agricultural and Forest Meteorology, 2014, 184: 56–70

[8] Qiu R J, Liu C W, Cui N B, Wu Y J, Wang Z C, Li G. Evapotranspiration estimation using a modified Priestley-Taylor model in a rice-wheat rotation system. Agricultural Water Management, 2019, 224: 105755

[9] Agam N, Evett S R, Tolk J A, Kustas W P, Colaizzi P D, Alfieri J G, Mckee L G, Copeland K S, Howell T A, Chavez J L. Evaporative loss from irrigated interrows in a highly advective semi-arid agricultural area. Advances in Water Resources, 2012, 50: 20–30

[10] Li S E, Tong L, Li F S, Zhang L, Zhang B Z, Kang S Z. Variability in energy partitioning and resistance parameters for a vineyard in northwest China. Agricultural Water Management, 2009, 96(6): 955–962

[11] Kool D, Ben-Gal A, Agam N, Šimůnek J, Heitman J L, Sauer T J, Lazarovitch N. Spatial and diurnal below canopy evaporation in a desert vineyard: measurements and modeling. Water Resources Research, 2014b, 50(8): 7035–7049

[12] Lascano R J, Baumhardt R L, Lipe W N. Measurement of water-flow in young grapevines using the stem heat-balance method. American Journal of Enology and Viticulture, 1992, 43(2): 159–165

[13] Zhao P, Kang S Z, Li S E, Ding R S, Tong L, Du T S. Seasonal variations in vineyard ET partitioning and dual crop coefficients correlate with canopy development and surface soil moisture. Agricultural Water Management, 2018, 197: 19–33

[14] Liu C M, Zhang X Y, Zhang Y Q. Determination of daily evaporation and evapotranspiration of winter wheat and maize by large-scale weighing lysimeter and micro-lysimeter. Agricultural and Forest Meteorology, 2002, 111(2): 109–120

[15] Allen R G, Pereira L S, Raes D, Smith M. Crop evapotranspiration: guidelines for computing crop water requirements.Rome: FAO, 1998, 56

[16] Teixeira A H D C, Bastiaanssen W G M, Bassoi L H. Crop water parameters of irrigated wine and table grapes to support water productivity analysis in the São Francisco river basin, Brazil. Agricultural Water Management, 2007, 94(1–3): 31–42

[17] Williams L E, Ayars J E. Grapevine water use and the crop coefficient are linear functions of the shaded area measured beneath the canopy. Agricultural and Forest Meteorology, 2005, 132(3–4): 201–211

[18] Netzer Y, Yao C R, Shenker M, Bravdo B A, Schwartz A. Water use and the development of seasonal crop coefficients for Superior Seedless grapevines trained to an open-gable trellis system. Irrigation Science, 2009, 27(2): 109–120

[19] Qiu R J, Kang S Z, Li F S, Du T S, Tong L, Wang F, Chen R Q, Liu J Q, Li S E. Energy partitioning and evapotranspiration of hot pepper grown in greenhouse with furrow and drip irrigation methods. Scientia Horticulturae, 2011, 129(4): 790–797

[20] Zhao P, Zhang X T, Li S E, Kang S Z. Vineyard energy partitioning between canopy and soil surface: dynamics and biophysical controls. Journal of Hydrometeorology, 2017, 18(7): 1809–1829

[21] Baldocchi D D, Xu L K, Kiang N. How plant functional-type, weather, seasonal drought, and soil physical properties alter water and energy fluxes of an oak-grass savanna and an annual grassland. Agricultural and Forest Meteorology, 2004, 123(1–2): 13–39

[22] Burba G G, Verma S B. Seasonal and interannual variability in evapotranspiration of native tallgrass prairie and cultivated wheat ecosystems. Agricultural and Forest Meteorology, 2005, 135(1–4): 190–201

[23] Li S G, Eugster W, Asanuma J, Kotani A, Davaa G, Oyunbaatar D, Sugita M. Energy partitioning and its biophysical controls above a grazing steppe in central Mongolia. Agricultural and Forest Meteorology, 2006, 137(1–2): 89–106

[24] Hammerle A, Haslwanter A, Tappeiner U, Cernusca A, Wholfahrt G. Leaf area controls on energy partitioning of a temperate mountain grassland. Biogeosciences, 2008, 5(2): 421–431

[25] Vickers D, Mahrt L. Quality control and flux sampling problems for tower and aircraft data. Journal of Atmospheric and Oceanic Technology, 1997, 14(3): 512–526

[26] Webb E K, Pearman G I, Leuning R. Correction of flux measurements for density effects due to heat and water vapor transfer. Quarterly Journal of the Royal Meteorological Society, 1980, 106(447): 85–100

[27] Paw U K T, Baldocchi D D, Meyers T P, Wilson K B. Correction of eddy covariance measurements incorporating both advective effects and density fluxes. Boundary-Layer Meteorology, 2000, 97(3): 487–511

[28] Finnigan J J, Clement R, Malhi Y, Leuning R, Cleugh H A. A re-evaluation of long-term flux measurement techniques part I: averaging and coordinate rotation. Boundary-Layer Meteorology, 2003, 107(1): 1–48

[29] Van Dijk A, Moene A F, de Bruin H A R. The principles of surface flux physics: theory, practice and description of the EC pack library. Internal Report, Meteorology and Air Quality Group. Wageningen, the Netherlands: Wageningen University, 2004, 99

[30] Moncrieff J B, Massheder J M, de Bruin H, Elbers J, Friborg T, Heusinkveld B, Kabat P, Scott S, Soegaard H, Verhoef A. A system to measure surface fluxes of momentum, sensible heat, water vapor and carbon dioxide. Journal of Hydrology, 1997, 188–189: 589–611

[31] Moncrieff J, Clement R, Finnigan J, Meyers T. Averaging, Detrending, and Filtering of Eddy Covariance Time Series. In: Lee X., Massman W., Law B., eds. Handbook of Micrometeorology. Atmospheric and Oceanographic Sciences Library. Dordrecht: Springer, 2004, 29

[32] Foken T, Göockede M, Mauder M, Mahrt L, Amiro B, Munger W. Post-Field Data Quality Control. In: Lee X., Massman W., Law B., eds. Handbook of Micrometeorology. Atmospheric and Oceanographic Sciences Library. Dordrecht: Springer, 2004, 29

[33] Kljun N, Calanca P, Rotach M W, Schmid H P. A simple parameterization for flux footprint predictions. Boundary-Layer Meteorology, 2004, 112(3): 503–523

[34] Falge E, Baldocchi D, Olson R, Anthoni P, Aubinet M, Bernhofer C, Burba G, Ceulemans R, Clement R, Dolman H, Granier A, Gross P, Grünwald T, Hollinger D, Jensen N O, Katul G, Keronen P, Kowalski A, Ta Lai C, Law B E, Meyers T, Moncrieff J, Moors E, William M J, Pilegaard K, Rannik Ü, Rebmann C, Suyker A, Tenhunen J, Tu K, Verma S, Vesala T, Wilson K, Wofsy S. Gap filling strategies for long term energy flux data sets. Agricultural and Forest Meteorology, 2001, 107(1): 71–77

[35] Twine T E, Kustas W P, Norman J M, Cook D R, Houser P R, Meyers T P, Prueger J H, Starks P J, Wesely M L. Correcting eddy-covariance flux underestimates over a grassland. Agricultural and Forest Meteorology, 2000, 103(3): 279–300

[36] Li S E, Kang S Z, Li F S, Zhang L, Zhang B Z. Vineyard evaporative fraction based on eddy covariance in an arid desert region of northwest China. Agricultural Water Management, 2008, 95(8): 937–948

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

[38] Wilson K, Goldstein A, Falge E, Aubinet M, Baldocchi D, Berbigier P, Bernhofer C, Ceulemans R, Han D, Field C, Grelle A, Ibrom A, Law B E, Kowalski A, Meyers T, Moncrieff J, Monson R, Oechel W, Tenhunen J, Valentini R, Verma S. Energy balance closure at FLUXNET sites. Agricultural and Forest Meteorology, 2002, 113(1–4): 223–243

[39] Ortega-Farias S, Carrasco M, Olioso A, Acevedo C, Poblete C. Latent heat flux over Cabernet Sauvignon vineyard using the Shuttleworth and Wallace model. Irrigation Science, 2007, 25(2): 161–170

[40] Zhao P, Li S E, Li F S, Du T S, Tong L, Kang S Z. Comparison of dual crop coefficient method and Shuttleworth-Wallace model in evapotranspiration partitioning in a vineyard of northwest China. Agricultural Water Management, 2015, 160: 41–56

[41] Heilman J L, Mcinnes K J, Savage M J, Gesch R W, Lascano R J. Soil and canopy energy balances in a west Texas vineyard. Agricultural and Forest Meteorology, 1994, 71(1–2): 99–114

[42] Sommer K J, Lang A R G. Comparative analysis of two indirect methods of measuring leaf area index as applied to minimal and spur pruned grape vines. Functional Plant Biology, 1994, 21(2): 197–206

[43] Hayes M, Svoboda M, Wall N, Widhalm M. The lincoln declaration on drought indices: universal meteorological drought index recommended. Bulletin of the American Meteorological Society, 2011, 92(4): 485–488

[44] Raz-Yaseef N, Rotenberg E, Yakir D. Effects of spatial variations in soil evaporation caused by tree shading on water flux partitioning in a semi-aridpine forest. Agricultural and Forest Meteorology, 2010, 150(3): 454–462

[45] López-Urrea R, Montoro A, Mañas F, López-Fuster P, Fereres E. Evapotranspiration and crop coefficients from lysimeter measurements of mature ‘Tempranillo’ wine grapes. Agricultural Water Management, 2012, 112: 13–20

[46] Yunusa I A M, Walker R R, Guy J R. Partitioning of seasonal evapotranspiration from a commercial furrow irrigated Sultana vineyard. Irrigation Science, 1997, 18(1): 45–54

[47] Yunusa I A M, Walker R R, Lu P. Evapotranspiration components from energy balance, sapflow and microlysimetry techniques for an irrigated vineyard in inland Australia. Agricultural and Forest Meteorology, 2004, 127(1–2): 93–107

[48] Poblete-Echeverría C, Ortega-Farias S, Zuñiga M, Fuentes S. Evaluation of compensated heat-pulse velocity method to determine vine transpiration using combined measurements of eddy covariance system and microlysimeters. Agricultural Water Management, 2012, 109: 11–19

[49] Poblete-Echeverría C A, Ortega-Farias S O. Evaluation of single and dual crop coefficients over a drip-irrigated Merlot vineyard (Vitis vinifera L.) using combined measurements of sap flow sensors and an eddy covariance system. Australian Journal of Grape and Wine Research, 2013, 19(2): 249–260

[50] Campos I, Neale C M U, Calera A, Balbontín C, González-Piqueras J. Assessing satellite-based basal crop coefficients for irrigated grapes (Vitis vinifera L.). Agricultural Water Management, 2010, 98(1): 45–54

[51] Shen Y J, Zhang Y Q, Kondoh A, Tang C Y, Chen J Y, Xiao J Y, Sakura Y, Liu C M, Sun H Y. Seasonal variation of energy partitioning in irrigated lands. Hydrological Processes, 2004, 18(12): 2223–2234

Acknowledgements

This work was funded by the National Natural Science Foundation of China (91425302, 51621061) and by the 111 Program of Introducing Talents of Discipline to Universities (B14002).

Compliance with ethics guidelines

Lei Gao, Peng Zhao, Shaozhong Kang, Sien Li, Ling Tong, Risheng Ding, and Hongna Lu declare that they have no conflict of interest or financial conflicts to disclose.

This article does not contain any studies with human or animal subjects performed by any of the authors.

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The Author(s) 2020. Published by Higher Education Press. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)