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

被引:21
作者
Burchard-Levine, Vicente [1 ]
Nieto, Hector [2 ]
Kustas, William P. [3 ]
Gao, Feng [3 ]
Alfieri, Joseph G. [3 ]
Prueger, John H. [4 ]
Hipps, Lawrence E. [5 ]
Bambach-Ortiz, Nicolas [6 ]
McElrone, Andrew J. [7 ,8 ]
Castro, Sebastian J. [8 ]
Mar Alsina, Maria [9 ]
McKee, Lynn G. [3 ]
Zahn, Einara [10 ]
Bou-Zeid, Elie [10 ]
Dokoozlian, Nick [9 ]
机构
[1] CSIC, Environm Remote Sensing & Spect Lab SpecLab, Madrid, Spain
[2] CSIC, Inst Agr Sci, Madrid 28006, Spain
[3] ARS, USDA, Hydrol & Remote Sensing Lab, Beltsville, MD 20705 USA
[4] USDA ARS, Natl Lab Agr & Environm, Ames, IA USA
[5] Utah State Univ, Dept Plants Soils & Climate, Logan, UT 84322 USA
[6] Univ Calif Davis, Dept Land Air & Water Resources, Davis, CA 95616 USA
[7] USDA ARS, Crops Pathol & Genet Res Unit, Davis, CA USA
[8] Univ Calif Davis, Dept Viticulture & Enol, Davis, CA 95616 USA
[9] Winegrowing Res, E&J Gallo Winery, Modesto, CA USA
[10] Princeton Univ, Dept Civil & Environm Engn, Princeton, NJ 08544 USA
关键词
SOIL; FLUXES; FORMULATIONS; TEMPERATURES; DEMAND;
D O I
10.1007/s00271-022-00787-x
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
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 similar to 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.
引用
收藏
页码:593 / 608
页数:16
相关论文
共 45 条
[1]   Interoperability of ECOSTRESS and Landsat for mapping evapotranspiration time series at sub-field scales [J].
Anderson, Martha C. ;
Yang, Yang ;
Xue, Jie ;
Knipper, Kyle R. ;
Yang, Yun ;
Gao, Feng ;
Hain, Chris R. ;
Kustas, William P. ;
Cawse-Nicholson, Kerry ;
Hulley, Glynn ;
Fisher, Joshua B. ;
Alfieri, Joseph G. ;
Meyers, Tilden P. ;
Prueger, John ;
Baldocchi, Dennis D. ;
Rey-Sanchez, Camilo .
REMOTE SENSING OF ENVIRONMENT, 2021, 252
[2]   Measurement and Partitioning of Evapotranspiration for Application to Vadose Zone Studies [J].
Anderson, Ray G. ;
Zhang, Xudong ;
Skaggs, Todd H. .
VADOSE ZONE JOURNAL, 2017, 16 (13) :1-9
[3]   Modeling Surface Energy Fluxes over a Dehesa ( Oak Savanna) Ecosystem Using a Thermal Based Two-Source Energy Balance Model ( TSEB) I [J].
Andreu, Ana ;
Kustas, William P. ;
Jose Polo, Maria ;
Carrara, Arnaud ;
Gonzalez-Dugo, Maria P. .
REMOTE SENSING, 2018, 10 (04)
[4]   Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard [J].
Bellvert, Joaquim ;
Jofre-Cekalovic, Christian ;
Pelecha, Ana ;
Mata, Merce ;
Nieto, Hector .
REMOTE SENSING, 2020, 12 (14)
[5]   A remote sensing-based three-source energy balance model to improve global estimations of evapotranspiration in semi-arid tree-grass ecosystems [J].
Burchard-Levine, Vicente ;
Nieto, Hector ;
Riano, David ;
Kustas, Wiliam P. ;
Migliavacca, Mirco ;
El-Madany, Tarek S. ;
Nelson, Jacob A. ;
Andreu, Ana ;
Carrara, Arnaud ;
Beringer, Jason ;
Baldocchi, Dennis ;
Pilar Martin, M. .
GLOBAL CHANGE BIOLOGY, 2022, 28 (04) :1493-1515
[6]  
California Department of Food and Agriculture and USDA National Agricultural Statistics Service, 2020, CAL AGR STAT REV 201
[7]  
Campbell G.S., 1998, An introduction to environmental biophysics, V2nd, P286, DOI DOI 10.1007/978-1-4612-1626-1
[8]   The Harmonized Landsat and Sentinel-2 surface reflectance data set [J].
Claverie, Martin ;
Ju, Junchang ;
Masek, Jeffrey G. ;
Dungan, Jennifer L. ;
Vermote, Eric F. ;
Roger, Jean-Claude ;
Skakun, Sergii V. ;
Justice, Christopher .
REMOTE SENSING OF ENVIRONMENT, 2018, 219 :145-161
[9]   Partial rootzone drying and deficit irrigation increase stomatal sensitivity to vapour pressure deficit in anisohydric grapevines [J].
Collins, Marisa J. ;
Fuentes, Sigfredo ;
Barlow, Edward W. R. .
FUNCTIONAL PLANT BIOLOGY, 2010, 37 (02) :128-138
[10]   RESULTS OF A PANEL DISCUSSION ABOUT THE ENERGY BALANCE CLOSURE CORRECTION FOR TRACE GASES [J].
Foken, Thomas ;
Aubinet, Marc ;
Finnigan, John J. ;
Leclerc, Monique Y. ;
Mauder, Matthias ;
U, Kyaw Tha Paw .
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (04) :ES13-ES18