Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert
Accurate estimates of seasonal evapotranspiration (ET) at different temporal and spatial scales are essential for understanding the biological and environmental determinants of ecosystem water balance in arid regions and the patterns of water utilization by the vegetation. For this purpose, remote s...
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todo:paper_08856087_v30_n24_p4449_Cristiano2023-10-03T15:40:46Z Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert Cristiano, P.M. Pereyra, D.A. Bucci, S.J. Madanes, N. Scholz, F.G. Goldstein, G. MODIS precipitation pulses root distribution soil water content temperature water balance Correlation methods Digital storage Ecology Ecosystems Evaporation Evapotranspiration Fourier series Groundwater Linear regression Plants (botany) Rain Regression analysis Soil moisture Soils Temperature Time series analysis Transpiration MODIS Multiple linear regression models Photosynthetic active radiations Root distribution Seasonal evapotranspirations Soil volumetric water contents Soil water content Water balance Remote sensing evapotranspiration hydraulic conductivity MODIS remote sensing soil profile soil water temperature effect water budget water content water table Argentina Patagonia Accurate estimates of seasonal evapotranspiration (ET) at different temporal and spatial scales are essential for understanding the biological and environmental determinants of ecosystem water balance in arid regions and the patterns of water utilization by the vegetation. For this purpose, remote sensing ET estimates of a Patagonian desert in Southern Argentina were verified with field measurements of soil evaporation and plant transpiration using an open top chamber. Root distribution and seasonal variation in soil volumetric water content were also analysed. There was a high correlation between remote sensing and field measurements of ecosystem water fluxes. A substantial amount of the annual ET occurred in spring and early summer (73.4 mm) using winter rain stored in the soil profile and resulting in water content depletion of the upper soil layers. A smaller amount of annual ET was derived from few rainfall events occurring during the mid or late summer (41.4 mm). According to remote sensing, the 92.9% of the mean annual precipitation returns to the atmosphere by transpiration or evaporation from the bare soil and by canopy interception. Only 7.1% infiltrates to soil layers deeper than 200 cm contributing to the water table recharge. Fourier time series analysis, cross-correlation methods and multiple linear regression models were used to analyse 11 years of remote sensing data to assess determinants of water fluxes. A linear model predicts well the variables that drive complex ecosystem processes such as ET. Leaf area index and air temperature were not linearly correlated to ET because of the multiple interaction among variables resulting in time lags with ET variations and thus these two variables were not included in the linear model. Soil water content, the fraction of photosynthetic active radiation and precipitation explained 86% of the ET monthly variations. The high volumetric water content and the small seasonal variations at 200-cm depth were probably the result of little water uptake from deeper soil horizons by roots with low hydraulic conductivity. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd. Fil:Cristiano, P.M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Bucci, S.J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Madanes, N. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Scholz, F.G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Goldstein, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08856087_v30_n24_p4449_Cristiano |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-134 |
collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
topic |
MODIS precipitation pulses root distribution soil water content temperature water balance Correlation methods Digital storage Ecology Ecosystems Evaporation Evapotranspiration Fourier series Groundwater Linear regression Plants (botany) Rain Regression analysis Soil moisture Soils Temperature Time series analysis Transpiration MODIS Multiple linear regression models Photosynthetic active radiations Root distribution Seasonal evapotranspirations Soil volumetric water contents Soil water content Water balance Remote sensing evapotranspiration hydraulic conductivity MODIS remote sensing soil profile soil water temperature effect water budget water content water table Argentina Patagonia |
spellingShingle |
MODIS precipitation pulses root distribution soil water content temperature water balance Correlation methods Digital storage Ecology Ecosystems Evaporation Evapotranspiration Fourier series Groundwater Linear regression Plants (botany) Rain Regression analysis Soil moisture Soils Temperature Time series analysis Transpiration MODIS Multiple linear regression models Photosynthetic active radiations Root distribution Seasonal evapotranspirations Soil volumetric water contents Soil water content Water balance Remote sensing evapotranspiration hydraulic conductivity MODIS remote sensing soil profile soil water temperature effect water budget water content water table Argentina Patagonia Cristiano, P.M. Pereyra, D.A. Bucci, S.J. Madanes, N. Scholz, F.G. Goldstein, G. Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert |
topic_facet |
MODIS precipitation pulses root distribution soil water content temperature water balance Correlation methods Digital storage Ecology Ecosystems Evaporation Evapotranspiration Fourier series Groundwater Linear regression Plants (botany) Rain Regression analysis Soil moisture Soils Temperature Time series analysis Transpiration MODIS Multiple linear regression models Photosynthetic active radiations Root distribution Seasonal evapotranspirations Soil volumetric water contents Soil water content Water balance Remote sensing evapotranspiration hydraulic conductivity MODIS remote sensing soil profile soil water temperature effect water budget water content water table Argentina Patagonia |
description |
Accurate estimates of seasonal evapotranspiration (ET) at different temporal and spatial scales are essential for understanding the biological and environmental determinants of ecosystem water balance in arid regions and the patterns of water utilization by the vegetation. For this purpose, remote sensing ET estimates of a Patagonian desert in Southern Argentina were verified with field measurements of soil evaporation and plant transpiration using an open top chamber. Root distribution and seasonal variation in soil volumetric water content were also analysed. There was a high correlation between remote sensing and field measurements of ecosystem water fluxes. A substantial amount of the annual ET occurred in spring and early summer (73.4 mm) using winter rain stored in the soil profile and resulting in water content depletion of the upper soil layers. A smaller amount of annual ET was derived from few rainfall events occurring during the mid or late summer (41.4 mm). According to remote sensing, the 92.9% of the mean annual precipitation returns to the atmosphere by transpiration or evaporation from the bare soil and by canopy interception. Only 7.1% infiltrates to soil layers deeper than 200 cm contributing to the water table recharge. Fourier time series analysis, cross-correlation methods and multiple linear regression models were used to analyse 11 years of remote sensing data to assess determinants of water fluxes. A linear model predicts well the variables that drive complex ecosystem processes such as ET. Leaf area index and air temperature were not linearly correlated to ET because of the multiple interaction among variables resulting in time lags with ET variations and thus these two variables were not included in the linear model. Soil water content, the fraction of photosynthetic active radiation and precipitation explained 86% of the ET monthly variations. The high volumetric water content and the small seasonal variations at 200-cm depth were probably the result of little water uptake from deeper soil horizons by roots with low hydraulic conductivity. Copyright © 2016 John Wiley & Sons, Ltd. Copyright © 2016 John Wiley & Sons, Ltd. |
format |
JOUR |
author |
Cristiano, P.M. Pereyra, D.A. Bucci, S.J. Madanes, N. Scholz, F.G. Goldstein, G. |
author_facet |
Cristiano, P.M. Pereyra, D.A. Bucci, S.J. Madanes, N. Scholz, F.G. Goldstein, G. |
author_sort |
Cristiano, P.M. |
title |
Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert |
title_short |
Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert |
title_full |
Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert |
title_fullStr |
Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert |
title_full_unstemmed |
Remote sensing and ground-based measurements of evapotranspiration in an extreme cold Patagonian desert |
title_sort |
remote sensing and ground-based measurements of evapotranspiration in an extreme cold patagonian desert |
url |
http://hdl.handle.net/20.500.12110/paper_08856087_v30_n24_p4449_Cristiano |
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