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000844533 005__ 20210129232948.0
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000844533 0247_ $$2ISSN$$a1866-1793
000844533 020__ $$a978-3-95806-303-7
000844533 037__ $$aFZJ-2018-01940
000844533 041__ $$aEnglish
000844533 1001_ $$0P:(DE-Juel1)156154$$aCai, Gaochao$$b0$$eCorresponding author$$ufzj
000844533 245__ $$aThe impact of soil water distribution on root development and root water uptake of winter wheat$$f- 2018-01-26
000844533 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zenralbibliothek, Verlag$$c2018
000844533 300__ $$a143 S.
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000844533 4900_ $$aSchriften des Forschungszentrums Jülich Reihe Energie & Umwelt / Energy & Environment$$v410
000844533 502__ $$aUniversität Bonn, Diss., 2018$$bDissertation$$cUiversität Bonn$$d2018
000844533 520__ $$aBackground and objectives: Root water uptake (RWU) is a key process in the root zone that determines water movement from the soil into roots and transport to the atmosphere via plant stems and leaves. Different RWU models were developed with different assumptions, complexity, and parameters but the description of this process and its parameterization remain challenging in soil hydrology. Due to the difficulty of monitoring of root development and soil states in undisturbed soils, dynamic root distributions and a physically based concept to describe water uptake from soil profiles with vertical variations in soil water availability are often not taken into consideration. Furthermore, the simulated RWU is rarely evaluated by transpiration measurements for different soil water conditions and soil textures. This study aims at 1)introducing two mini rhizotron (MR) facilities installed in two different soils with different water treatments that were designed for monitoring dynamic root distribution and spatio-temporal soilstate variations in situ, 2) parameterizing three RWU models that use different concepts to describe water uptake and investigating the difference in water uptake patterns and the possible links between them, 3) exploring the effect of soil water availability on root development and RWU that were estimated by different RWU models, and evaluating the estimated RWU by measured sap flow data. Although the model approaches and experimental methods are generic and applicable to different crops, only winter wheat was considered in this study.
000844533 536__ $$0G:(DE-HGF)POF3-255$$a255 - Terrestrial Systems: From Observation to Prediction (POF3-255)$$cPOF3-255$$fPOF III$$x0
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