Assessing the temporal stability of spatial patterns of soil apparent electrical conductivity using geophysical methods

Caires, Sunshine A. De; Wuddivira, Mark N.; Bekele, Isaac

doi:10.2478/intag-2014-0033

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…However, the correlation in Oct was lower, indicating either a possible soil discontinuity or an inhomogeneous water condition at soil depth. Although different authors have reported higher values of EC a for wet surveys (Robinson et al, 2009;De Benedetto et al, 2013;De Caires et al, 2014), in this study, the statistics did not confirm these results. This could be at least partially attributed to transient conditions of soil water status after precipitation events.…”

Section: Soil Apparent Electrical Conductivity Mapscontrasting

confidence: 99%

“…Moreover, the standard deviation of the temporal stability map for the EC a measurements ( Figures 6C and 6D) showed that the sites with greater changes were associated to the lowest part of the field, where water accumulated. Both maps exhibited similar spatial patterns, demonstrating that the EC a patterns are independent from the depth of measurement, and these patterns could be used to map the study site (De Caires et al, 2014). Moreover, measurements of EC a should be taken into account during the application of the usual agronomical practices.…”

Section: Soil Apparent Electrical Conductivity Mapsmentioning

confidence: 75%

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Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Benedetto

Montemurro

Diacono

2020

Sci. agric. (Piracicaba, Braz.)

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There is an increasing interest in the application of geophysical surveys to assess the soil water content (SWC) variation in both spatial and temporal scales. In this work, a geophysical survey was carried out at an experimental farm in dry and wet conditions. We determined the SWC data measured with the gravimetric method, apparent electrical conductivity by electromagnetic induction (EMI) and amplitude of Ground Penetrating Radar (GPR) data at different frequencies. Geophysical sensors are an efficient tool for soil mapping at high resolution; however; there is a need to improve the knowledge on their capabilities and limitations under field conditions, especially for GPR. The geophysical survey provides an example of the application of these techniques to evaluate the spatial variability of SWC in two different water conditions. The contribution of geophysical data in understanding the spatial variability of SWC was investigated applying both the traditional analysis and spatial techniques. The results indicated that the geophysical data captured the spatial variation of SWC in non-invasively way especially in dry condition. However, they also showed the complex interplay between factors controlling SWC and geophysical responses and the drawbacks of geophysical sensors under inhomogeneous water conditions. Our findings also highlighted that EMI survey provides the potential to map the SWC variability within a relatively short time. The results obtained in this research are important from the agronomical viewpoint, since they allow increasing efficiency of irrigation practices, which is important in times characterized by climate change.

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Section: Soil Apparent Electrical Conductivity Mapscontrasting

confidence: 99%

Section: Soil Apparent Electrical Conductivity Mapsmentioning

confidence: 75%

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Benedetto

Montemurro

Diacono

2020

Sci. agric. (Piracicaba, Braz.)

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“…Figure 4 shows the ECa-H and ECa-V maps, which were quite similar. Consequently, we found homogeneity between horizons (shallow and deep), although the correlation was partly due to deep ECa integrating the 1.5 m soil that includes the 0.75 m soil layer (represented by ECa-H) [37].…”

Section: Eca Mapsmentioning

confidence: 69%

Mapping an Agricultural Field Experiment by Electromagnetic Induction and Ground Penetrating Radar to Improve Soil Water Content Estimation

Benedetto

Montemurro²,

Diacono

2019

Agronomy

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A growing interest in proximal sensing technologies for estimating soil water content (SWC) will be highlighted. On this matter the objectives of this study were: (1) to use both the combined electromagnetic induction (EMI) sensor and Ground Penetrating Radar (GPR) to characterize an innovative field experiment located in southern Italy, in which different agricultural practices are tested, including a soil hydraulic arrangement; (2) to implement a geostatistical approach in order to merge different geophysical sensor data as auxiliary variables for SWC estimation. The multi-sensor recorded data were: (1) SWC data measured by gravimetric method; (2) Differential Global Positioning System height; (3) apparent electrical conductivity measured by an EMI sensor; (4) depths of soil discontinuities individuated by GPR radargrams interpretation; and (5) amplitude of GPR signal data at two different frequencies. Geostatistical techniques were used both to map all variables and improve the SWC estimation. The findings of this research indicate that: (1) the GPR radargrams identified four reflection events as a consequence of interfaces; (2) the EMI and GPR mapping provided identification of areas with high potential for water stagnation; and (3) the outputs of geophysical sensors can be effectively used as auxiliary tools to supplement the sampling of the target variable and to improve water content estimation.

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“…Modern methods such as EMI have been used by researchers in different environments [28,33,58]. More specifically, EMI as a measure of variation in soil properties to collect spatially exhaustive data has been used by researchers in humid tropical land use environments for example; Bréchet et al [11] in both teak and native forests, Atwell et al [7] in wetlands and De Caries et al [19] in a Cocoa plantation, making it a suitable instrument to be employed as it expedites site characterization and increase accuracy while combining sufficient spacing, extent, and support [10] to capture the small-and large-scale variability of soil properties across a field site [55].…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic-induction and spatial analysis for assessing variability in soil properties as a function of land use in tropical savanna ecosystems

Atwell

Wuddivira

2019

SN Appl. Sci.

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Identifying spatial patterns in the variability of key soil properties to delineate the extent of land degradation could ensure efficient management of natural resources in terrestrial ecosystems. However, little is still known in tropical savannas that are subjected to indiscriminate land use. We evaluated the soil variability at the plot-scale in a terrestrial tropical ecosystem subjected to varying land use/land cover management to assess the impact of uncontrolled land uses on the soil natural capital. The non-invasive, time/cost efficient electromagnetic induction (EMI) technique was assessed for its potential, to determine the effect of land uses on soil spatial variability in a changing land use gradient from pristine land use/land cover conditions. The investigation was carried out in a natural tropical ecosystem in Aripo, Trinidad with soils of predominantly ultisols order and influenced by anthropogenic disturbances. EMI-based apparent electrical conductivity (ECa) measurements were obtained at two depth ranges (shallow = 0-0.5 m and deep = 0-1.5 m). Soil properties showed that the residential anthropogenic land use had a higher mean apparent electrical conductivity shallow (ECa s ) value (ECa s = 305.9 mS/m) than all other land uses. Higher ECa s values in the residential site suggest that human influences can increase the magnitude of electrical conductivity, which can alter the biogeochemical cycles of the soil affecting services provided by the ecosystem. Also anthropogenic land use/land covers exhibited lower coefficient of variation for soil texture (silt and clay) than natural land uses, indicating lower sensitivity of soil texture to land use due to the mixing of soils, which encourages uniformity in anthropogenic sites. Soil texture dominated the ECa s signal in the natural land use/land covers with the relationship between ECa s and silt in the Forest (r = 0.486) and Grass (r = − 0.495) significant at P < 0.05. Soil texture showed greater sensitivity to land use in natural sites than in anthropogenic sites. The dominance of soil texture in the natural sites indicates that in tropical soils that are predominantly light textured (clay content < 21%), silt content controls the EMI signal, which can become of low influence following disturbance. The magnitude of electrical conductivity can increase due to human influences. This can alter the biogeochemical cycles of the soil, affecting services provided by the ecosystem.

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Assessing the temporal stability of spatial patterns of soil apparent electrical conductivity using geophysical methods

Cited by 6 publications

References 18 publications

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Repeated geophysical measurements in dry and wet soil conditions to describe soil water content variability

Mapping an Agricultural Field Experiment by Electromagnetic Induction and Ground Penetrating Radar to Improve Soil Water Content Estimation

Electromagnetic-induction and spatial analysis for assessing variability in soil properties as a function of land use in tropical savanna ecosystems

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