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Upscaling Evapotranspiration with Parsimonious Models in a North Carolina Vineyard
- Source :
- Agronomy, Volume 9, Issue 3, Agronomy, Vol 9, Iss 3, p 152 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- Water stress can positively or negatively impact grape yield and yield quality, and there is a need for wine growers to accurately regulate water use. In a four-year study (2010&ndash<br />2013), energy balance fluxes were measured with an eddy-covariance (EC) system in a North Carolina vineyard (Vitis vinifera cv. Chardonnay), and evapotranspiration (ET) and the Crop Water Stress Index (CWSI) calculated. A multiple linear regression model was developed to upscale ET using air temperature (Ta), vapor pressure deficit (VPD), and Landsat-derived Land Surface Temperature (LST) and Enhanced Vegetation Index (EVI). Daily ET reached values of up to 7.7 mm day&minus<br />1, and the annual ET was 752 &plusmn<br />59 mm, as measured with the EC system. The grapevine CWSI was between 0.53&ndash<br />0.85, which indicated moderate water stress levels. Median vineyard EVI was between 0.22 and 0.72, and the EVI range (max&ndash<br />min) within the vineyard was 0.18. The empirical models explained 75%&ndash<br />84% of the variation in ET, and all parameters had a positive linear relationship to ET. The Root Mean Square Error (RMSE) was 0.52&ndash<br />0.62 mm. This study presents easily applicable approaches to analyzing water dynamics and ET. This may help wine growers to cost-effectively quantify water use in vineyards.
- Subjects :
- 010504 meteorology & atmospheric sciences
Vapour Pressure Deficit
Energy balance
land surface temperature
Atmospheric sciences
01 natural sciences
Vineyard
lcsh:Agriculture
remote sensing
Evapotranspiration
Yield (wine)
0105 earth and related environmental sciences
Vitis vinifera
crop water stress index
lcsh:S
Empirical modelling
04 agricultural and veterinary sciences
Enhanced vegetation index
tall fescue
enhanced vegetation index
040103 agronomy & agriculture
0401 agriculture, forestry, and fisheries
Environmental science
Agronomy and Crop Science
Landsat
Water use
Subjects
Details
- Language :
- English
- ISSN :
- 20734395
- Database :
- OpenAIRE
- Journal :
- Agronomy
- Accession number :
- edsair.doi.dedup.....2a0aedc646406de67f64fdac3ac461e1
- Full Text :
- https://doi.org/10.3390/agronomy9030152