Upscaling Evapotranspiration with Parsimonious Models in a North Carolina Vineyard
| Autor: | Adam M. Howard, Thomas J. Sauer, Gill Giese, J. L. Havlin, Christian Dold, Joshua L. Heitman |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
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 |
| Zdroj: | Agronomy Volume 9 Issue 3 Agronomy, Vol 9, Iss 3, p 152 (2019) |
| ISSN: | 2073-4395 |
| DOI: | 10.3390/agronomy9030152 |
| Popis: | 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 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 1, and the annual ET was 752 ± 59 mm, as measured with the EC system. The grapevine CWSI was between 0.53&ndash 0.85, which indicated moderate water stress levels. Median vineyard EVI was between 0.22 and 0.72, and the EVI range (max&ndash min) within the vineyard was 0.18. The empirical models explained 75%&ndash 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 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. |
| Databáze: | OpenAIRE |
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