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Quantifying the uncertainties of transpiration calculations with the Penman-Monteith equation under different climate and optimum water supply conditions
Year:
2009
Authors :
Cohen, Shabtai
;
.
Cohen, Yehezkel
;
.
Fuchs, Marcel
;
.
Moreshet, Samuel
;
.
Volume :
149
Co-Authors:
Langensiepen, M., Modelling Plant Systems, Institute of Crop Science, Faculty of Agriculture and Horticulture, Invalidenstrasse 42, 10115 Berlin, Germany
Fuchs, M., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Bergamaschi, H., Department of Forage Plants and Agricultural Meteorology, Federal University of Rio Grande do Sul, Faculty of Agronomy, Caixa Postal 776, CEP 91501-970 Porto Alegre, RS, Brazil
Moreshet, S., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Cohen, Y., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Wolff, P., Heiligenstädter Weg 5, 37213 Witzenhausen, Germany
Jutzi, S.C., FAO Headquarters, Animal Production and Health Division, Viale delle Terme di Caracalla, Rome, 00100, Italy
Cohen, S., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Rosa, L.M.G., Department of Forage Plants and Agricultural Meteorology, Federal University of Rio Grande do Sul, Faculty of Agronomy, Caixa Postal 776, CEP 91501-970 Porto Alegre, RS, Brazil
Li, Y., Xinjiang Institute of Ecology and Geography, CAS, 40- 3 South Beijing Road, Urumqi, Xinjiang 830011, China
Fricke, T., Department of Grassland Science and Renewable Plant Resources, Faculty of Organic Agricultural Sciences, University of Kassel, Steinstrasse 19, 37213 Witzenhausen, Germany
Facilitators :
From page:
1063
To page:
1072
(
Total pages:
10
)
Abstract:
The uncertainties of transpiration calculations with the Penman-Monteith equation were quantified under different climate conditions of Brazil, Germany and Israel using maize as a common crop type. All experiments were carried out under non-limiting growing conditions. Canopy resistance was determined by scaling to canopy level specific relations between in situ measurements of incident radiation and stomatal conductance using a light penetration model. The model was tested against heat-pulse measured sap flow in plant stems. The root mean square error (RMSE) of daily calculated transpiration minus measured sap flow was 0.4 mm/day. It was dominated by its variance component (variance = 0.2 {mm/day}2; bias = 0.0 mm/day). Calculated transpiration closely matched the measured trends at the three locations. No significant differences were found between seasons and locations. Uncertainties of canopy conductance parameterizations led to errors of up to 2.1 mm/day. The model responded most sensitively to a 30% change of net radiation (absolute bias error = 1.6 mm/day), followed by corresponding alterations of canopy resistances (0.8 mm/day), vapour pressure deficits (0.5 mm/day) and aerodynamic resistances (0.34 mm/day). Measured and calculated 30-min or hourly averaged transpiration rates are highly correlated (r2 = 0.95; n = 10634), and the slope of the regression line is close to unity. The overall RMSE of calculated transpiration minus measured sap flow was 0.08 mm/h and was dominated by its variance component (0.005 {mm/h}2). Measured sap flow consistently lagged behind calculated transpiration, because plant hydraulic capacitance delays the change of leaf water potential that drives water uptake. Calculated transpiration significantly overestimated sap flow during morning hours (mean = 0.068 mm/h, n = 321) and underestimated it during afternoon hours (mean = -0.065 mm/h; n = 316). The Penman-Monteith approach as implemented in the present study is sufficiently sensitive to detect small differences between transpiration and water uptake and provides a robust tool to manage plant water supply under unstressed conditions. © 2009 Elsevier B.V. All rights reserved.
Note:
Related Files :
climate effect
Climates
ecological modeling
Israel
plant-water relations
plant water relations
transpiration
Zea mays
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More details
DOI :
10.1016/j.agrformet.2009.01.001
Article number:
Affiliations:
Database:
Scopus
Publication Type:
article
;
.
Language:
English
Editors' remarks:
ID:
19741
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:31
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Scientific Publication
Quantifying the uncertainties of transpiration calculations with the Penman-Monteith equation under different climate and optimum water supply conditions
149
Langensiepen, M., Modelling Plant Systems, Institute of Crop Science, Faculty of Agriculture and Horticulture, Invalidenstrasse 42, 10115 Berlin, Germany
Fuchs, M., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Bergamaschi, H., Department of Forage Plants and Agricultural Meteorology, Federal University of Rio Grande do Sul, Faculty of Agronomy, Caixa Postal 776, CEP 91501-970 Porto Alegre, RS, Brazil
Moreshet, S., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Cohen, Y., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Wolff, P., Heiligenstädter Weg 5, 37213 Witzenhausen, Germany
Jutzi, S.C., FAO Headquarters, Animal Production and Health Division, Viale delle Terme di Caracalla, Rome, 00100, Italy
Cohen, S., Department of Environmental Physics and Irrigation, Institute of Soil, Water and Environmental Sciences Agricultural Research Organization, P.O. Box 6, Bet Dagan, 50250, Israel
Rosa, L.M.G., Department of Forage Plants and Agricultural Meteorology, Federal University of Rio Grande do Sul, Faculty of Agronomy, Caixa Postal 776, CEP 91501-970 Porto Alegre, RS, Brazil
Li, Y., Xinjiang Institute of Ecology and Geography, CAS, 40- 3 South Beijing Road, Urumqi, Xinjiang 830011, China
Fricke, T., Department of Grassland Science and Renewable Plant Resources, Faculty of Organic Agricultural Sciences, University of Kassel, Steinstrasse 19, 37213 Witzenhausen, Germany
Quantifying the uncertainties of transpiration calculations with the Penman-Monteith equation under different climate and optimum water supply conditions
The uncertainties of transpiration calculations with the Penman-Monteith equation were quantified under different climate conditions of Brazil, Germany and Israel using maize as a common crop type. All experiments were carried out under non-limiting growing conditions. Canopy resistance was determined by scaling to canopy level specific relations between in situ measurements of incident radiation and stomatal conductance using a light penetration model. The model was tested against heat-pulse measured sap flow in plant stems. The root mean square error (RMSE) of daily calculated transpiration minus measured sap flow was 0.4 mm/day. It was dominated by its variance component (variance = 0.2 {mm/day}2; bias = 0.0 mm/day). Calculated transpiration closely matched the measured trends at the three locations. No significant differences were found between seasons and locations. Uncertainties of canopy conductance parameterizations led to errors of up to 2.1 mm/day. The model responded most sensitively to a 30% change of net radiation (absolute bias error = 1.6 mm/day), followed by corresponding alterations of canopy resistances (0.8 mm/day), vapour pressure deficits (0.5 mm/day) and aerodynamic resistances (0.34 mm/day). Measured and calculated 30-min or hourly averaged transpiration rates are highly correlated (r2 = 0.95; n = 10634), and the slope of the regression line is close to unity. The overall RMSE of calculated transpiration minus measured sap flow was 0.08 mm/h and was dominated by its variance component (0.005 {mm/h}2). Measured sap flow consistently lagged behind calculated transpiration, because plant hydraulic capacitance delays the change of leaf water potential that drives water uptake. Calculated transpiration significantly overestimated sap flow during morning hours (mean = 0.068 mm/h, n = 321) and underestimated it during afternoon hours (mean = -0.065 mm/h; n = 316). The Penman-Monteith approach as implemented in the present study is sufficiently sensitive to detect small differences between transpiration and water uptake and provides a robust tool to manage plant water supply under unstressed conditions. © 2009 Elsevier B.V. All rights reserved.
Scientific Publication
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