Characterizing soil spatial variability with apparent soil electrical conductivity

Corwin, Dennis L.; Lesch, Scott M.

doi:10.1016/j.compag.2004.11.003

Cited by 140 publications

(142 citation statements)

References 11 publications

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“…Herrero et al (2011) conducted a survey with EMI system to get the detailed baseline data for soil salinity in Flumen irrigation district where the land had been irrigated more than 50 years, showing that the EMI system was suitable to evaluate soil salinity in irrigated areas. The information of ECa survey is used for mapping spatial variability of soil properties that are invaluable in ecosyetem and agriculture for assessing soil quality, planning land use, and determining the suitability of cropping patterns Corwin and Lesch, 2005;Yao et al, 2007;Urdanoz and Araguees, 2011).…”

Section: Introductionmentioning

confidence: 99%

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

Liu

Zhang

et al. 2016

Ecological Engineering

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a b s t r a c tSoil salinization is one of serious ecological problems around the world, which seriously restricts the stability of ecosystem and the economic development of agriculture. Mapping and monitoring spatial distribution of soil salinity is important for management of ecology and agriculture. This study was carried out to explore the spatial distribution of soil salinity in the Yellow River Delta using the portable device EM38-MK2 with geostatistical analysis. Apparent soil electrical conductivities were measured under four kinds of measurement modes (0.5H, 0.5 V, 1.0H and 1.0 V, respectively). The results revealed that electrical conductivity of 1:5 soil to water extract (ECe) varied from 0.965 to 1.872 dS m −1 for all sampled soil profiles, and the salinity of topsoil was the highest, which indicated that soil soluble salts accumulated to the surface. The salinity in the top layer showed strong spatial variability while salinities of other layers were moderate. Soil salinity displayed a significant zonal distribution, gradually decreasing with the increase of distance to the coastline. The regions with high ECa values were located in the north and the east of the study area, whereas regions with low ECa values were located in the south and the west parts. The correlation coefficient showed that salinities of adjacent two soil layers reached a significant level of 0.01, and gradually decreased with increasing soil depth. The linear interpretation models with ECa as independent variables and ECe as dependent variables for each depth were with R 2 between 0.828 and 0.919. The interpretation models, taking ECa and ECe of 0-15 cm depth as independent variables, and ECe of each layer in 15-100 cm depth as dependent variables, were with higher R 2 between 0.930 and 0.953. The mean error (ME) showed that there was small positive deviation in 40-100 cm whereas a high positive deviation in the topsoil (0-40 cm). The scatter plots also indicated that the models had better accuracy of salinity estimation in the top soil layers (0-80 cm). The results provides solid basis for eco-restoring in the Yellow River delta.

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Section: Introductionmentioning

confidence: 99%

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

Liu

Zhang

et al. 2016

Ecological Engineering

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“…Some researchers Corwin and Lesch, 2005a;Corwin and Lesch, 2005b;Corwin et al, 2006;Kuhn et al, 2009;Lesch et al, 2005;Morari et al, 2009;Moral, et al, 2010;Saey et al, 2009;Yan et al, 2007a;Yan et al, 2007b;Yan et al, 2007c;Yan et al, 2008) have demonstrated the important role played by soil electrical parameters in explaining the variability of physical-chemical soil properties and crop yield. This study aimed to define management zones for coffee production fields based on the spatial variability of apparent soil electrical conductivity.…”

Section: Introductionmentioning

confidence: 99%

Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Valente¹,

Queiroz²,

Pinto³

et al. 2012

Sci. agric. (Piracicaba, Braz.)

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Fertilizer application at variable rates requires dense sampling to determine the resulting field spatial variability. Defining management zones is a technique that facilitates the variable-rate application of agricultural inputs. The apparent electrical conductivity of the soil is an important factor in explaining the variability of soil physical-chemical properties. Thus, the objective of this study was to define management zones for coffee (Coffea Arabica L.) production fields based on spatial variability of the apparent electrical conductivity of the soil. The resistivity method was used to measure the apparent soil electrical conductivity. Soil samples were collected to measure the chemical and physical soil properties. The maps of spatial variability were generated using ordinary kriging method. The fuzzy k-means algorithm was used to delimit the management zones. To analyze the agreement between the management zones and the soil properties, the kappa coefficients were calculated. The best results were obtained for the management zones defined using the apparent electrical conductivity of the soil and the digital elevation model. In this case, the kappa coefficient was 0.45 for potassium, which is an element that is associated with quality coffee. The other variable that had a high kappa coefficient was remaining phosphorous; the coefficient obtained was 0.49. The remaining phosphorus is an important parameter for determining which fertilizers and soil types to study.

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“…Another common technique used is soil mapping is 'Frequency Electromagnetic (FEM)' which induces electromagnetic currents within the near-surface (0-6m depth) to measure the bulk conductivity. These geophysical techniques are implemented within numerous industries to target shallow sub-surface variations in resistivity/conductivity based on heterogeneities of physical properties associated with the soil (Corwin and Lesch, 2005b).…”

Section: Justification Of Geophysical Analysismentioning

confidence: 99%

“…Integrating non-invasive geophysical techniques into hydrological assessments ("hydrogeophyics") allows for fluid migration patterns to be visualised and analysed in a spatial context (Robinson et al, 2008). Recent investigations have shown that integration of geophysics and hydrology (Corwin and Lesch, 2005b) results in a significant increase in site specific understanding of hydrological processes and interactions, which is required for assessment of LPP being a localised surface feature.…”

Section: Justification Of Geophysical Analysismentioning

confidence: 99%

Tracing shallow lateral preferential pathways of fluid movement using electrical geophysics

Finn

Lackie

2018

ASEG Extended Abstracts

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Characterizing soil spatial variability with apparent soil electrical conductivity

Cited by 140 publications

References 11 publications

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

GIS-mapping spatial distribution of soil salinity for Eco-restoring the Yellow River Delta in combination with Electromagnetic Induction

Definition of management zones in coffee production fields based on apparent soil electrical conductivity

Tracing shallow lateral preferential pathways of fluid movement using electrical geophysics

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