Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information

Teixeira, Daniel De Bortoli; Marques, José Carlos; Siqueira, Diego Silva; Vasconcelos, Vinícius; Júnior, Osmar Abı́lio de Carvalho; Martins, E. S.; Pereira, Gener Tadeu

doi:10.1016/j.geoderma.2017.06.001

Cited by 13 publications

(6 citation statements)

References 65 publications

(136 reference statements)

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“…In similar geological environments (AD-ECD), the variability isolines reverse their direction and remain perpendicular to the geological transition with the basalt, but parallel to the Cx and Cc forms (central portion of the area). This effect evidences that even little detailed geological information may assist in understanding the variability in a detailed manner in transition regions (Teixeira et al, 2017).…”

Section: Resultsmentioning

confidence: 84%

“…At each point of the sampling grid, samples were collected within a depth range of 0-0.25 m for determining MS and clay content. This depth is used by the São Paulo State sugarcane sector in determining soil management (Teixeira et al, 2017). Thus, the protocol developed in this study can be easily incorporated in this sector without require huge changes.…”

Section: Description Of the Area And Samplingmentioning

confidence: 99%

“…Some methods attempt to overcome these problems through the incorporation of the spatial variability of soil attributes (Siqueira et al, 2015) using hybrid mapping techniques (Legros, 2006;Vincent et al, 2018;Teixeira et al, 2017). Such methods are typically tested using validations (Mirzaeitalarposhti et al, 2017;Hengl et al, 2017) and error analysis (Cambule et al, 2014), providing only an overview of the error associated with the mapping.…”

Section: Introductionmentioning

confidence: 99%

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Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Teixeira

Marques

Siqueira

et al. 2018

CATENA

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This study aimed to use spatial uncertainty of magnetic susceptibility (MS) and clay content to improve soilmapping units. In an experimental area of 870 ha, a regular sampling grid containing 371 points was set, in which MS and clay content were assessed at a depth range of 0-0.25 m. Using a digital elevation model and field observations, a 4440-m transect was established on the study area from hilltop to the foothill, toward the gentlest slope. Standard deviation maps based on 200 realizations of the sequential gaussian simulation measured spatial estimate uncertainties. To limit transition zones along the transect, uncertainty isolines representative of the transition between soil-mapping units were selected. Both attributes presented peaks of uncertainties near the change of mapping units, previously known. Uncertainty zones, previously delineated, ranged from 45 to 210 m and from 60 to 170 m, for MS and clay content, respectively. However, after extrapolating the uncertainties to the side of the transect, amplitude changes of the uncertainty zones were observed, especially in the transition regions between landscape shape and geology. Delineation of mapping units, which incorporated the uncertainties of MS and clay content, was similar. However, due to lower cost and promptness, MS becomes the most feasible alternative. Knowing spatial uncertainties enables readjusting limits in maps of soil-mapping units and may support identification of most favorable regions for determining modal pedon representative of each unit.

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Section: Resultsmentioning

confidence: 84%

Section: Description Of the Area And Samplingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Teixeira

Marques

Siqueira

et al. 2018

CATENA

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“…Beyond being commonly adopted in the areas of archeology (Jordanova, Jordanova, Barrón, Lesigyarski, & Konstadinova-Avramova, 2019b;Tang et al, 2018), paleomagnetism (Izquierdo-Llavall et al, 2018Jiang et al, 2015;, and wildfire severity (Jordanova et al, 2019), χ has also been considered an important technique in pedotransfer functions in soil science. Some studies have indicated χ as an indirect technique capable of estimating porosity; cation exchange capacity; base saturation; adsorbed phosphorus; and the content of clay, water, carbon, Hm, iron oxides, and toxic elements in the soil with high reliability (Camargo et al, 2016(Camargo et al, , 2018Siqueira et al, 2010;Liu, Zhang, Zhang, Liu, & Fu, 2018;Silva et al, 2020;Teixeira et al, 2017a).…”

Section: Introductionmentioning

confidence: 99%

Magnetic susceptibility in the prediction of soil attributes in southern Brazil

Ramos

Inda

Barrón

et al. 2021

Soil Science Soc of Amer J

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Global demand for soil information has led to investigations that have adopted ways to estimate soil attributes quickly and effectively. In this context, magnetic susceptibility (χ) has gained prominence because it is a technique capable of estimating other attributes that are more difficult to acquire. This study aimed to (a) evaluate the performance of χ for the prediction of sand, silt, clay, hue, hematite/(hematite + goethite) ratio, Fe content of pedogenic iron oxides, and remaining phosphorus and (b) develop maps of χ, soil attributes and attributes predicted by χ in the state of Rio Grande do Sul (RS), Brazil. Here, 198 soil samples under forest and native pasture were used for testing the potential of χ as a predictive technique, separating the data into calibration (nc = 149) and validation sets (nv = 49). Linear regression was used to obtain the pedotransfer equations according to soil classes and lithology. To visualize the distribution of the values of χ and other soil attributes in RS, maps were made with the real values of χ and the real and estimated values of soil attributes. The great range of the χ values and related attributes was associated with the lithological and pedological influence, allowing the construction of predictive models that encompass a large gradient of χ. In the predictions made in groups, the attributes of Oxisols and Ultisols were best estimated by χ; however, among the lithology groups, the extrusive igneous rocks stood out.

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“…Aquino et al (2014c) proposed a sampling density of 5 points per hectare on an ultra-detailed scale for the study of variability in Archeological Dark Earth. Siqueira et al (2015) and Teixeira et al (2017) proposed a sampling density of one point every 7 ha.…”

Section: Introductionmentioning

confidence: 99%

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

et al. 2018

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The elaboration of maps to characterize the spatial variability of soil attributes assists in the strategic planning and decision making of agricultural managers. Precision and accuracy of maps are related to the ideal sampling density to characterize the variability pattern. This study was conducted with the aim of identifying the sampling density to represent the variability of soil physical quality using attributes with different magnitudes of variation in an area cultivated with coffee. Three approaches were used to find the most adequate sampling density (geostatistical analysis, percentage of error associated with the sampling density, and coefficient of variation). A total of 145 soil samples were collected at a depth of 0-0.20 m at the crossing points of a regular grid with a spacing of 50 m. The percentage of clay, silt, and sand, macroporosity, microporosity, total pore volume, and soil density were determined. The data were submitted to descriptive statistical analysis. For elaborating the variability maps with up to 15% error and soil attributes with a coefficient of variation close to 50%, a sampling density of 3 points ha −1 is suggested.

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Sample planning for quantifying and mapping magnetic susceptibility, clay content, and base saturation using auxiliary information

Cited by 13 publications

References 65 publications

Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Mapping units based on spatial uncertainty of magnetic susceptibility and clay content

Magnetic susceptibility in the prediction of soil attributes in southern Brazil

Sampling Density for Characterizing the Physical Quality of a Soil Under Coffee Cultivation in Southwestern Minas Gerais

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