Spatial variability patterns of some Vertisol properties at a field scale using standardized data

Millán, H.; Tarquis, A. M.; Pérez, Luís D.; Mato, Juan; González-Posada, M.

doi:10.1016/j.still.2011.11.003

Cited by 26 publications

(11 citation statements)

References 22 publications

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“…The symbol represents experimental data and the straight line stands for the fitted model. means of geostatistics (Carvalho et al, 2004;Millán et al, 2012). The experimental semivariogram was estimated under an intrinsic hypothesis using the following equation:…”

Section: Methodsmentioning

confidence: 99%

“…A large number of studies have made use of geostatistics to characterize and compare the various soil attributes and search for a corresponding statistical correlation (Allaire et al, 2012;Usowicz and Lipiec, 2009;Millán et al, 2012). Castrignanó and Stelluti (1999) used fractal geometry and geostatistics to describe the importance of clay variability on soil clustering.…”

Section: Introductionmentioning

confidence: 99%

“…Carvalho et al (2004) ascertained the fragmentation of soil aggregates through the fractal theory, assessing the spatial dependence under varied treatments. Millán et al (2012) used the multivariate spatial analysis for some soil physical attributes that have correlations to physically degraded areas.…”

Section: Introductionmentioning

confidence: 99%

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Fractal analysis in the description of soil particle-size distribution under different land-use patterns in Southern Amazonas State, Brazil

Cunha¹,

Campos²,

Gaio³

et al. 2016

Afr. J. Agric. Res.

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Understanding the variability of soil properties is crucial to identify areas susceptible to physical degradation. The soil degradation is often determined by the current state of the soil structure, that is, the aggregate size distribution. Therefore, this article suggested evaluating aggregate sizes' distribution by using the fractal theory. The goals were: (i) to calculate the fractal mass dimension of soil aggregates in areas under agroforestry, forestry, sugarcane, cassava and pasture in Southern Amazonas state, Brazil, showing correlations with soil properties; (ii) to compare the means of fractal dimension mass of the distribution of particle sizes on different soil under the different uses; and (iii) to investigate spatial variability of such fragmentation for each management system. Fragmentation was determined from fractal mass dimension. Aggregates were sampled within a depth range of 0.00 to 0.10 m, over a regular sample grid of 70 × 70 m, with georeferenced sample points, and regular spacing each 10 m, totaling 64 points per mesh. Higher mean values of fractal mass dimension were found in agroforestry use system and the lowest under native forest and pasture, with no statistical difference fractal mass dimension, when assessed in relation to the type and land use. The degree of fragmentation of soil aggregates was found to be influenced by the type of soil and strongly correlated with fine particles, higher in Red-Yellow Oxisols with better physical quality when compared with other areas. It showed a strong spatial dependence and the exponential model that got the best adjustment of the semivariogram.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fractal analysis in the description of soil particle-size distribution under different land-use patterns in Southern Amazonas State, Brazil

Cunha¹,

Campos²,

Gaio³

et al. 2016

Afr. J. Agric. Res.

View full text Add to dashboard Cite

show abstract

“…As such a high estimate of communality attracts a higher preference over a low estimate. 36 In the PCA of the pooled soil attributes (i.e. for the three locations), PC 1 explained 31.21% (Table 5) of the variance has high positive loading (>0.9) for total organic carbon and aggregate associated carbon.…”

Section: Grouping Of Soil Properties Through Factor Analysismentioning

confidence: 95%

"Land Use Impact on Soil Physical Quality and Soil Structure in Three Highland Watersheds of Ethiopia"

Ogunwole¹

2014

APAR

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“…Agríc., Jaboticabal, v.36, n.4, p.696-705, jul./ago. 2016 697 coordinates from each sampling point, due to the GPS receivers of greater acc uracy, improve the decision-making when the aim is to work in tillage systems in variable rates (MILLAN et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Variations on the expertise of two attributes of physical soil due to differences in the method of global satellite navigation

et al. 2016

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ABSTRACT:The mechanical resistance to penetration when related to the water content is an indicator often used of soil compaction, the use of positioning methods for greater accuracy of this review is important. In this context, this study aimed to determine the variability of positioning methods provided by GPS receivers to determine the spatial behavior of physical attributes related to soil compaction. The study area is located in the municipality of Jaboticabal, around the latitude 21º15'22"S and longitude 48º18'58"W, being characterized with a clayey Oxisol. The variables used as parameters of soil physical properties were the mechanical resistance to penetration and water content, using a sampling grid of 20 x 20 m, totaling 60 points. We used six models of GPS receivers: Garmin Etrex Vista, Garmin Etrex 30, Ashtech MM6, Trimble Nomad, Garmin Map 62 and Trimble R6, with all georeferenced points in the regular grid intersections. The georeferencing using GPS receivers (single point positioning and post-processed differential correction) interfered in characterizing the spatial variability of soil resistance to penetration, differently for some receivers to the water content attribute. Positioning methods with post-processed differential correction, using R6 and MM6 models, better define the management zones of soil resistance to penetration.

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Spatial variability patterns of some Vertisol properties at a field scale using standardized data

Cited by 26 publications

References 22 publications

Fractal analysis in the description of soil particle-size distribution under different land-use patterns in Southern Amazonas State, Brazil

Fractal analysis in the description of soil particle-size distribution under different land-use patterns in Southern Amazonas State, Brazil

"Land Use Impact on Soil Physical Quality and Soil Structure in Three Highland Watersheds of Ethiopia"

Variations on the expertise of two attributes of physical soil due to differences in the method of global satellite navigation

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