Characterization of Apparent Soil Electrical Conductivity Variability in Irrigated Sandy and Non-Saline Fields in Colorado

Farahani, Hamid J.; Buchleiter, Gerald W.; Brodahl, M. K.

doi:10.13031/2013.17959

Cited by 40 publications

(24 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For EMI measurements conducted at different dates and for different moisture conditions, Farahani et al (2005) found that higher θ does not necessarily correspond to higher ECa values, which is in good agreement with our observations. Furthermore, Zhu et al (2010) described that the wetness condition was not the only factor influencing the spatial variability of ECa at their site, and that terrain and soil properties masked the effects of soil moisture on ECa during dry periods, whereas soil ECa was strongly influenced by θ during wetter periods and at wetter locations.…”

Section: Using Emi For Mapping Soil Moisture and Implications For Soisupporting

confidence: 91%

“…Furthermore, our data clearly show that the relationship between ECa and a given soil property or state is time-ofmeasurement-dependent, which results from the dynamic nature of, e.g., groundwater levels, soil water content, and concentration of pore water solution which influence the electrical conductance pathway. This is also confirmed by field data presented in Farahani et al (2005), and the authors argued that the relationship that they observed between ECa and θ can be partially explained by the dependency of θ on stable soil properties, such as clay content. Furthermore, they showed that such behavior may produce the effect of magnifying the relationship between ECa and a given soil property at certain times.…”

Section: Using Emi For Mapping Soil Moisture and Implications For Soisupporting

confidence: 79%

“…All these mechanisms contribute to the complexity of EC and soil property relationships. Corwin et al (2008) and Farahani et al (2005) highlighted that the EC versus soil property functions are expected to be temporally variable unless EC w and θ remain relatively unchanged, assuming EC s to be stable at the temporal scale of observation.…”

Section: Introductionmentioning

confidence: 99%

“…Callegary et al (2007Callegary et al ( , 2012) discussed this concept using a forward model of electromagnetic field propagation, and found that the sensitivity of any EMI sensor, as well as the depth of investigation, can differ significantly from those suggested by McNeil (1980). Nevertheless, it appears clear that the final ECa reading of any EMI device is a complex physicochemical measurement which results from the propagation of the EM field within the volume of investigation and its interaction with stable and transient soil properties and/or states, and that the effective measurement depth and volume of investigation of an EMI sensor may vary at different times and locations (Sudduth et al, 2001;Corwin and Lesch, 2005;Farahani et al, 2005;Callegary et al, 2007;Corwin et al, 2008;Werban et al, 2009;Zhu et al, 2010;Robinson et al, 2012;Callegary et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network

Martini

Werban

Zacharias

et al. 2017

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Electromagnetic induction (EMI) measurements are widely used for soil mapping, as they allow fast and relatively low-cost surveys of soil apparent electrical conductivity (ECa). Although the use of non-invasive EMI for imaging spatial soil properties is very attractive, the dependence of ECa on several factors challenges any interpretation with respect to individual soil properties or states such as soil moisture (θ ). The major aim of this study was to further investigate the potential of repeated EMI measurements to map θ , with particular focus on the temporal variability of the spatial patterns of ECa and θ . To this end, we compared repeated EMI measurements with high-resolution θ data from a wireless soil moisture and soil temperature monitoring network for an extensively managed hillslope area for which soil properties and θ dynamics are known. For the investigated site, (i) ECa showed small temporal variations whereas θ varied from very dry to almost saturation, (ii) temporal changes of the spatial pattern of ECa differed from those of the spatial pattern of θ , and (iii) the ECa-θ relationship varied with time. Results suggest that (i) depending upon site characteristics, stable soil properties can be the major control of ECa measured with EMI, and (ii) for soils with low clay content, the influence of θ on ECa may be confounded by changes of the electrical conductivity of the soil solution. Further, this study discusses the complex interplay between factors controlling ECa and θ , and the use of EMI-based ECa data with respect to hydrological applications.

show abstract

Section: Using Emi For Mapping Soil Moisture and Implications For Soisupporting

confidence: 91%

Section: Using Emi For Mapping Soil Moisture and Implications For Soisupporting

confidence: 79%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network

Martini

Werban

Zacharias

et al. 2017

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…These ancillary properties influence properties that determine soil EC a , meaning they can indirectly influence EC a and thus be investigated using EMI techniques (Heilig et al, 2011). The relationships between these interacting soil properties and EC a are often complex and can vary over short distances (Bekele et al, 2005;Carroll and Oliver, 2005;Farahani et al, 2005). As a result, the degree and in some cases the directions (±) of the relationship between EC a and a specific soil property have varied.…”

Section: A Surrogate Measure For the Assessment Of Soil Propertiesmentioning

confidence: 99%

The use of electromagnetic induction techniques in soils studies

Doolittle¹,

2014

View full text Add to dashboard Cite

Accounting for heterogeneity in the θ–σ relationship: Application to wheat phenotyping using EMI

Blanchy

Watts

Ashton

et al. 2020

Vadose Zone Journal

View full text Add to dashboard Cite

Geophysical methods, such as electromagnetic induction (EMI), can be effective for monitoring changes in soil moisture at the field scale, particularly in agricultural applications. The electrical conductivity (σ) inferred from EMI needs to be converted to soil moisture content (θ) using an appropriate relationship. Typically, a single global relationship is applied to an entire agricultural field; however, soil heterogeneity at the field scale may limit the effectiveness of such an approach. One application area that may suffer from such an effect is crop phenotyping. Selecting crop varieties based on their root traits is important for crop breeding and maximizing yield. Hence, highthroughput tools for phenotyping the root system architecture and activity at the field scale are needed. Water uptake is a major root activity and, under appropriate conditions, can be approximated by measuring changes in soil moisture from time-lapse geophysical surveys. We examine here the effect of heterogeneity in the θ-σ relationship using a crop phenotyping study for illustration. In this study, the θ-σ relationship was found to vary substantially across a field site. To account for this, we propose a range of local (plot specific) θ-σ models. We show that the large number of parameters required for these models can be estimated from baseline σ and θ measurements. Finally, we compare the use of global (field scale) and local (plot scale) models with respect to ranking varieties based on the estimated soil moisture content change.

show abstract

Characterization of Apparent Soil Electrical Conductivity Variability in Irrigated Sandy and Non-Saline Fields in Colorado

Cited by 40 publications

References 0 publications

Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network

Repeated electromagnetic induction measurements for mapping soil moisture at the field scale: validation with data from a wireless soil moisture monitoring network

The use of electromagnetic induction techniques in soils studies

Accounting for heterogeneity in the θ–σ relationship: Application to wheat phenotyping using EMI

Contact Info

Product

Resources

About