2015
DOI: 10.1016/j.ecolmodel.2014.10.028
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Spatial distribution of rhizodeposits provides built-in water potential gradient in the rhizosphere

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Cited by 38 publications
(30 citation statements)
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“…Boxplots represent the third quartile, the median, the first quartile range of the data, and data outliers. aggregated layer around the roots which remains physically stable (Ghezzehei and Albalasmeh, 2015). This process enhances the residence time of OC in the soil, which may contribute to OC sequestration (Rasse et al, 2005;Schmidt et al, 2011).…”
Section: Binding Agents At the Root Surfacementioning
confidence: 99%
“…Boxplots represent the third quartile, the median, the first quartile range of the data, and data outliers. aggregated layer around the roots which remains physically stable (Ghezzehei and Albalasmeh, 2015). This process enhances the residence time of OC in the soil, which may contribute to OC sequestration (Rasse et al, 2005;Schmidt et al, 2011).…”
Section: Binding Agents At the Root Surfacementioning
confidence: 99%
“…They find that indicators of N richness are the strongest predictors of high N gas fluxes at the ecosystem scale, while the distal factors that influence the proximal controls show marked temporal and spatial variation, suggesting that higher resolution and/or more dynamic data are needed to improve the accuracy of landscape and regional scale assessments. Ghezzehei and Albalasmeh (2015) combine a single root model with experiments using synthetic analog of rhizodeposits and environmental scanning electron microscopy to mechanistically reveal how root exudation enhances water retention and uptake. Their model simulations also demonstrate the benefit of variable distribution of root exudates, especially when the potential water uptake rate is high or the rhizodeposits are constrained to a narrow volume of rhizosphere soil.…”
Section: Introductionmentioning
confidence: 99%
“…The key scientific unknown is how these phases interact in the soil pore space and how they quantitatively and qualitatively influence soil processes such as plant nutrient and water uptake, mineralisation/mobilisation of nutrients, and feedback processes including release of substances, growth and tissue differentiation. A model of root water uptake including mucilage dynamics in the rhizosphere has been recently introduced in a series of articles by Carminati (2012);Carminati et al (2010); Ghezzehei and Albalasmeh (2015); Kroener et al (2014). In these modelling studies, the rhizosphere hydraulic properties differ from those of the bulk soil and vary over time during drying and wetting cycles.…”
Section: Modelling Rhizosphere Processes: State Of the Artmentioning
confidence: 99%