Quantifying coupled deformation and water flow in the rhizosphere using X-ray microtomography and numerical simulations

Aravena, Jazmín E.; Berli, Markus; Ruiz, Siul; Suárez, Francisco; Ghezzehei, Teamrat A.; Tyler, S. W.

doi:10.1007/s11104-013-1946-z

Cited by 56 publications

(76 citation statements)

References 41 publications

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“…SWC is also sensitive to changes in soil 15 structure. The wet end of SWC readily responds to changes in bulk density (e.g, tillage and compaction, root and macro fauna activity, freezing and thawing, drying and rewetting) (Aravena et al, 2013;Ghezzehei, 2000;Or et al, 2000;Ruiz et al, 2015). SWC is typically represented by monotonic sigmoid function, the most common being van Genuchten's (van Genuchten, 1980) parameter that indicates the matric potential at which maximum drainage of soil water occurs; and > (1 < > < ∞) and A = 1 − 1/> are shape parameters that reflect the spread of the SWC function.…”

Section: Soil Water Characteristic 10mentioning

confidence: 99%

On the role of soil water retention characteristic on aerobic microbial respiration

Ghezzehei¹,

Sulman²,

Arnold³

et al. 2018

Preprint

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Abstract. Soil water status is one of the most important environmental factors that control microbial activity and rate of soil organic matter decomposition (SOM). Its effect can be partitioned into effect of water energy status (water potential) on cellular activity, effect of water volume on cellular motility and aqueous diffusion of substrate and nutrients, as well as effect of air content and gas-diffusion pathways on 10 concentration of dissolved oxygen. However, moisture functions widely used in SOM decomposition models are often based on empirical functions rather than robust physical foundations that account for these disparate impacts of soil water. The contributions of soil water content and water potential vary from soil to soil according to the soil water characteristic (SWC), which in turn is strongly dependent on soil texture and structure. The overall goal of this study is to introduce a physically based modelling framework of 15 aerobic microbial respiration that incorporates the role of SWC under arbitrary soil moisture status. The model was tested by compariing it with published datasets of SOM decomposition under laboratory conditions.

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Section: Soil Water Characteristic 10mentioning

confidence: 99%

On the role of soil water retention characteristic on aerobic microbial respiration

Ghezzehei¹,

Sulman²,

Arnold³

et al. 2018

Preprint

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“…In their study, the initial root structure could extract water up to 21% in the compacted soil close to the rhizosphere, due to dynamic interactions taking place with high spatial and temporal variability. In addition, in 2014, the authors (Aravena et al 2014) adopted the same approach to quantify the effect of deformation and fluid flow in the rhizosphere by performing simulations at the normal stress range of 100-400 kPa (Aravena et al 2014). The experimental results indicated that measured rhizosphere compaction by roots via localized soil compaction increased the simulated water flow to the roots by 27% as compared to an uncompacted fine-textured soil of low bulk density.…”

Section: Modeling and Ct Experimental Work On Root-soil Interactionsmentioning

confidence: 99%

“…The excellent work by Aravena and coworkers has paved the way for further rhizoshpere studies. Aravena et al (2014) demonstrated how plant roots through localized mechanical stress increases the fusion of alreadyexisting extremely low-density soil aggregates. This increases the amount of potent flow paths for water and nutrients under unsaturated conditions for constant inter-aggregate gas exchange gaps.…”

Section: Additional Trends and Conclusionmentioning

confidence: 99%

“…Previous research has revealed its potential of investigating soil-root structure (Duliu 1999;Perret et al 2007;Pohlmeier et al 2008;Quinton et al 2009), root network and architecture (Kaestner et al 2006;Tracy et al 2010), soil compaction (Aravena et al 2011;Tracy et al 2012), soil physical pore properties (Roche et al 2010;Munkholm et al 2012), soil hydraulic characteristics (Tippkötter et al 2009;Aravena et al 2014) and root-soil contact and changes (Schmidt et al 2012;Aravena et al 2014). Additionally, other techniques such as magnetic resonance imaging (MRI), neutron tomography (NT), positron emission tomography (PET), electrical resistivity tomography (ERT), and scanning electron microscopy (SEM) have also been used for soilroot-related investigations (Asseng et al 2000;Perret et al 2000;Tumlinson et al 2008;Nagel et al 2009;Carminati et al 2010;Marto et al 2014;Wehrer et al 2014).…”

Section: Introductionmentioning

confidence: 99%

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Combining X-ray computed tomography with relevant techniques for analyzing soil–root dynamics – an overview

Mao

Kumi

et al. 2015

Acta Agriculturae Scandinavica, Section B — Soil & Plant Sc

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The study of below-ground features of roots and soil and their interactions is essential for understanding the configuration and diversities in such a dynamic environment. X-ray computed tomography is recognized as a tool for visualizing the physical interactions in the soil. In many studies, it has been used as a stand-alone tool to describe soil and root parameters. However, in recent times, attempts to couple it with other complementary tools are gaining rapid interest among researchers. The paper therefore provides an overview of the major application of combining X-ray computed tomography with other relevant methods in analyzing the structural characteristics of roots and soil media. The relevance of using this multidisciplinary approach for unraveling the mysteries surrounding root-soil dynamic interactions is stressed. The current and future trends of such studies are also pointed out.

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“…Existing studies suggest an increase in soil density around the roots (Aravena et al 2014;Bruand et al 1996;Dexter 1987b). However, soil densification around the roots may not be the general rule.…”

Section: Introductionmentioning

confidence: 98%

Challenges in imaging and predictive modeling of rhizosphere processes

et al. 2016

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Background Plant-soil interaction is central to human food production and ecosystem function. Thus, it is essential to not only understand, but also to develop predictive mathematical models which can be used to assess how climate and soil management practices will affect these interactions. Scope In this paper we review the current developments in structural and chemical imaging of rhizosphere processes within the context of multiscale mathematical image based modeling. We outline areas that need more research and areas which would benefit from more detailed understanding. Conclusions We conclude that the combination of structural and chemical imaging with modeling is an incredibly powerful tool which is fundamental for understanding how plant roots interact with soil. We emphasize the need for more researchers to be attracted to this area that is so fertile for future discoveries. Finally, model building must go hand in hand with experiments. In particular, there is a real need to integrate rhizosphere structural and chemical imaging with modeling for better understanding of the rhizosphere processes leading to models which explicitly account for pore scale processes.

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Quantifying coupled deformation and water flow in the rhizosphere using X-ray microtomography and numerical simulations

Cited by 56 publications

References 41 publications

On the role of soil water retention characteristic on aerobic microbial respiration

On the role of soil water retention characteristic on aerobic microbial respiration

Combining X-ray computed tomography with relevant techniques for analyzing soil–root dynamics – an overview

Challenges in imaging and predictive modeling of rhizosphere processes

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