Soil Moisture Dynamics Modeling Considering the Root Compensation Mechanism for Water Uptake by Plants

Yadav, Brijesh Kumar; Mathur, Shashi; Siebel, Maarten A.

doi:10.1061/(asce)he.1943-5584.0000066

Cited by 54 publications

(50 citation statements)

References 38 publications

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“…Smax is calculated assuming that the water uptake is proportional to the root density [58] and is formulated in a similar fashion to that of Yadav et al [45] as:…”

Section: Discussionmentioning

confidence: 99%

“…This additional index allows water stress in one part of the root zone to be compensated for by other moisture root zone layers. Combining both the soil availability factor with the root compensating factor, Yadav et al [45] presented the following equation using the root density distribution function of Wu et al [52]:…”

Section: Discussionmentioning

confidence: 99%

“…To simulate soil moisture processes in the root zone, a one-dimensional model accounting for the root distribution throughout the root zone [45], as well as the soil water drainage and availability [46] was developed. The total vegetative water extraction is determined using a semi-empirical root water extraction term S that can be expressed as a function of S max , i.e., maximum potential transpiration and a soil water availability factor (α):…”

Section: Physically-based Soil Moisture Modelmentioning

confidence: 99%

“…The soil water availability factor α is computed as a function of pressure head following Feddes et al's [47] formulation (see Yadav et al [45]):…”

Section: Author Contributionsmentioning

confidence: 99%

See 3 more Smart Citations

Modeling Soil Moisture Profiles in Irrigated Fields by the Principle of Maximum Entropy

Mishra

Ellenburg

Al‐Hamdan

et al. 2015

Entropy

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Vertical soil moisture profiles based on the principle of maximum entropy (POME) were validated using field and model data and applied to guide an irrigation cycle over a maize field in north central Alabama (USA). The results demonstrate that a simple two-constraint entropy model under the assumption of a uniform initial soil moisture distribution can simulate most soil moisture profiles that occur in the particular soil and climate regime that prevails in the study area. The results of the irrigation simulation demonstrated that the POME model produced a very efficient irrigation strategy with minimal losses (about 1.9% of total applied water). However, the results for finely-textured (silty clay) soils were problematic in that some plant stress did develop due to insufficient applied water. Soil moisture states in these soils fell to around 31% of available moisture content, but only on the last day of the drying side of the irrigation cycle. Overall, the POME approach showed promise as a general strategy to guide irrigation in humid environments, such as the Southeastern United States.

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“…Smax is calculated assuming that the water uptake is proportional to the root density [58] and is formulated in a similar fashion to that of Yadav et al [45] as:…”

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Physically-based Soil Moisture Modelmentioning

confidence: 99%

“…The soil water availability factor α is computed as a function of pressure head following Feddes et al's [47] formulation (see Yadav et al [45]):…”

Section: Author Contributionsmentioning

confidence: 99%

See 2 more Smart Citations

Modeling Soil Moisture Profiles in Irrigated Fields by the Principle of Maximum Entropy

Mishra

Ellenburg

Al‐Hamdan

et al. 2015

Entropy

View full text Add to dashboard Cite

show abstract

“…soil water content and crop transpiration (e.g. Braud et al, 2005;Yadav et al, 2009;Dong et al, 2010). Comparisons with physically based models (Jarvis, 2011;de Willigen et al, 2012) that implicitly account for compensation showed that models not including compensation, like Feddes et al (1978), are less accurate with respect to crop transpiration and soil water content predictions under some circumstances, e.g.…”

Section: Introductionmentioning

confidence: 99%

Benchmarking test of empirical root water uptake models

Santos

Lier

Dam

et al. 2017

Hydrol. Earth Syst. Sci.

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Abstract. Detailed physical models describing root water uptake (RWU) are an important tool for the prediction of RWU and crop transpiration, but the hydraulic parameters involved are hardly ever available, making them less attractive for many studies. Empirical models are more readily used because of their simplicity and the associated lower data requirements. The purpose of this study is to evaluate the capability of some empirical models to mimic the RWU distribution under varying environmental conditions predicted from numerical simulations with a detailed physical model. A review of some empirical models used as sub-models in ecohydrological models is presented, and alternative empirical RWU models are proposed. All these empirical models are analogous to the standard Feddes model, but differ in how RWU is partitioned over depth or how the transpiration reduction function is defined. The parameters of the empirical models are determined by inverse modelling of simulated depth-dependent RWU. The performance of the empirical models and their optimized empirical parameters depends on the scenario. The standard empirical Feddes model only performs well in scenarios with low root length density R, i.e. for scenarios with low RWU "compensation". For medium and high R, the Feddes RWU model cannot mimic properly the root uptake dynamics as predicted by the physical model. The Jarvis RWU model in combination with the Feddes reduction function (JMf) only provides good predictions for low and medium R scenarios. For high R, it cannot mimic the uptake patterns predicted by the physical model. Incorporating a newly proposed reduction function into the Jarvis model improved RWU predictions. Regarding the ability of the models to predict plant transpiration, all models accounting for compensation show good performance. The Akaike information criterion (AIC) indicates that the Jarvis (2010) model (JMII), with no empirical parameters to be estimated, is the "best model". The proposed models are better in predicting RWU patterns similar to the physical model. The statistical indices point to them as the best alternatives for mimicking RWU predictions of the physical model.

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Incorporating root hydraulic redistribution and compensatory water uptake in the Common Land Model: Effects on site level and global land modeling

et al. 2017

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Treatment of plant water uptake through the roots remains a significant issue in land surface models. Most current land surface models calculate the root water uptake (RWU) by extracting soil water in different soil layers based on the relative soil water availability and the root fraction of each layer within the rooting zone. This approach is also used as the default in the Common Land Model (CoLM). This approach often significantly underestimates plant transpiration during dry periods. Therefore, more realistic RWU functions are needed in land surface models. In this study, the modified CoLM with root hydraulic redistribution (HR) and compensatory water uptake (CWU) was evaluated against the CoLM with the default approach by comparing the observed and simulated latent and sensible heat fluxes observed from three sites that experience seasonal drought over the measured periods. We found that the CoLM using the default RWU significantly underestimated latent heat fluxes and overestimated the sensible heat fluxes over dry periods, whereas those biases were significantly reduced by the CoLM with HR and CWU functions. We also ran global offline simulations using the revised CoLM to evaluate the performance of these alternative RWU functions on the global scale. Compared with the estimated latent heat fluxes from the FLUXNET‐model tree ensemble model product, CoLM with HR and CWU functions significantly improved the estimated latent heat fluxes over the Amazon, Southern Africa, and Central Asia during their dry seasons. Therefore, we recommend the implementation of HR and CWU in land surface models.

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Soil Moisture Dynamics Modeling Considering the Root Compensation Mechanism for Water Uptake by Plants

Cited by 54 publications

References 38 publications

Modeling Soil Moisture Profiles in Irrigated Fields by the Principle of Maximum Entropy

Modeling Soil Moisture Profiles in Irrigated Fields by the Principle of Maximum Entropy

Benchmarking test of empirical root water uptake models

Incorporating root hydraulic redistribution and compensatory water uptake in the Common Land Model: Effects on site level and global land modeling

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