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Assessing Uncertainties of Water Footprints Using an Ensemble of Crop Growth Models on Winter Wheat
ISSN
2073-4441
Date Issued
2016
Author(s)
Kroes, Joop
Gobin, Anne
Takáč, Jozef
Hlavinka, Petr
Trnka, Miroslav
Ventrella, Domenico
Giglio, Luisa
Ferrise, Roberto
Moriondo, Marco
Dalla Marta, Anna
Luo, Qunying
Eitzinger, Josef
Mirschel, Wilfried
Weigel, Hans-Joachim
Manderscheid, Remy
Nejedlik, Pavol
Iqbal, Muhammad
Hösch, Johannes
DOI
10.3390/w8120571
Abstract
Crop productivity and water consumption form the basis to calculate the water footprint (WF) of a specific crop. Under current climate conditions, calculated evapotranspiration is related to observed crop yields to calculate WF. The assessment of WF under future climate conditions requires the simulation of crop yields adding further uncertainty. To assess the uncertainty of model based assessments of WF, an ensemble of crop models was applied to data from five field experiments across Europe. Only limited data were provided for a rough calibration, which corresponds to a typical situation for regional assessments, where data availability is limited. Up to eight models were applied for wheat. The coefficient of variation for the simulated actual evapotranspiration between models was in the range of 13%–19%, which was higher than the inter-annual variability. Simulated yields showed a higher variability between models in the range of 17%–39%. Models responded differently to elevated CO2 in a FACE (Free-Air Carbon Dioxide Enrichment) experiment, especially regarding the reduction of water consumption. The variability of calculated WF between models was in the range of 15%–49%. Yield predictions contributed more to this variance than the estimation of water consumption. Transpiration accounts on average for 51%–68% of the total actual evapotranspiration.
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