Application of a remote-sensing three-source energy balance model to improve evapotranspiration partitioning in vineyards.

Autor: Burchard-Levine V; Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), Madrid, Spain., Nieto H; Institute of Agricultural Sciences, Spanish National Research Council (CSIC), 28006 Madrid, Spain., Kustas WP; Agriculture Research Service, U.S. Department of Agriculture, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705 USA., Gao F; Agriculture Research Service, U.S. Department of Agriculture, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705 USA., Alfieri JG; Agriculture Research Service, U.S. Department of Agriculture, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705 USA., Prueger JH; USDA-ARS, National Laboratory for Agriculture and the Environment, Ames, IA USA., Hipps LE; Department of Plants Soils and Climate, Utah State University, Logan, UT USA., Bambach-Ortiz N; Department of Land, Air and Water Resources, University of California, Davis, CA USA., McElrone AJ; USDA-ARS Crops Pathology and Genetics Research Unit, Davis, CA USA.; Department of Viticulture and Enology, University of California, Davis, CA USA., Castro SJ; Department of Viticulture and Enology, University of California, Davis, CA USA., Alsina MM; E and J Gallo Winery, Winegrowing Research, Modesto, CA USA., McKee LG; Agriculture Research Service, U.S. Department of Agriculture, Hydrology and Remote Sensing Laboratory, Beltsville, MD 20705 USA., Zahn E; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ USA., Bou-Zeid E; Department of Civil and Environmental Engineering, Princeton University, Princeton, NJ USA., Dokoozlian N; E and J Gallo Winery, Winegrowing Research, Modesto, CA USA.
Jazyk: angličtina
Zdroj: Irrigation science [Irrig Sci] 2022; Vol. 40 (4-5), pp. 593-608. Date of Electronic Publication: 2022 Apr 05.
DOI: 10.1007/s00271-022-00787-x
Abstrakt: Improved accuracy of evapotranspiration (ET) estimation, including its partitioning between transpiration (T) and surface evaporation (E), is key to monitor agricultural water use in vineyards, especially to enhance water use efficiency in semi-arid regions such as California, USA. Remote-sensing methods have shown great utility in retrieving ET from surface energy balance models based on thermal infrared data. Notably, the two-source energy balance (TSEB) has been widely and robustly applied in numerous landscapes, including vineyards. However, vineyards add an additional complexity where the landscape is essentially made up of two distinct zones: the grapevine and the interrow, which is often seasonally covered by an herbaceous cover crop. Therefore, it becomes more complex to disentangle the various contributions of the different vegetation elements to total ET, especially through TSEB, which assumes a single vegetation source over a soil layer. As such, a remote-sensing-based three-source energy balance (3SEB) model, which essentially adds a vegetation source to TSEB, was applied in an experimental vineyard located in California's Central Valley to investigate whether it improves the depiction of the grapevine-interrow system. The model was applied in four different blocks in 2019 and 2020, where each block had an eddy-covariance (EC) tower collecting continuous flux, radiometric, and meteorological measurements. 3SEB's latent and sensible heat flux retrievals were accurate with an overall RMSD ~ 50 W/m 2 compared to EC measurements. 3SEB improved upon TSEB simulations, with the largest differences being concentrated in the spring season, when there is greater mixing between grapevine foliage and the cover crop. Additionally, 3SEB's modeled ET partitioning (T/ET) compared well against an EC T/ET retrieval method, being only slightly underestimated. Overall, these promising results indicate 3SEB can be of great utility to vineyard irrigation management, especially to improve T/ET estimations and to quantify the contribution of the cover crop to ET. Improved knowledge of T/ET can enhance grapevine water stress detection to support irrigation and water resource management.
Supplementary Information: The online version contains supplementary material available at 10.1007/s00271-022-00787-x.
Competing Interests: Conflict of interestOn behalf of all authors, the corresponding author states that there is no conflict of interest.
(© The Author(s) 2022.)
Databáze: MEDLINE
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