Physical attributes of a pasture soil in southeast Goiás determined by geostatistics

Cardoso, Gabriel Greco de Guimarães; Wanderley, Rilley Castro; Souza, Mara Lúcia Cruz de

doi:10.1590/1809-4430-eng.agric.v36n1p143-151/2016

Cited by 3 publications

(3 citation statements)

References 13 publications

(9 reference statements)

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“…Different soil attributes have been used to characterize the physical changes caused by compaction due to animal trampling or even due to different pastureland management practices. The physical parameters that are commonly used to characterize soil under pasture include bulk density, porosity (Cardoso, Wanderley, & Souza, 2016;Carvalho, Ruiz, Costa, Passos, & Araújo, 2014), soil penetration resistance (Cubillos et al, 2016;Redin et al, 2017), and soil-water infiltration (Cullotta et al, 2016;Suárez, Navarro, Campos, Flores, & Mejía, 2018).…”

Section: Introductionmentioning

confidence: 99%

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

et al. 2018

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Soils under pastures suffer physical modifications, in greater or lesser intensity, via the action of animal trampling. Thus, the aim was to evaluate the spatial dependence of soil physical attributes under bovine trampling. The trial was performed at Roçadinho Farm, Agreste of Pernambuco, Brazil, in a 40 x 40 m paddock that was managed with continuous stocking by bovines and 12 AU ha-1 stocking rate. Soil samples were collected before and after grazing using a 6 x 6 m grid, totaling 36 sampling points. At each point, the bulk density, total porosity, moisture, soil penetration resistance at 0.00-0.10, 0.10-0.20, and 0.20-0.30 m depth were estimated, as was the hydraulic conductivity on the saturated soil surface. Descriptive statistics and geostatistics supported the data analysis. A normal distribution was verified for all variables, which were scored as either low or high variability in terms of the variation coefficient. The physical attributes (density, total porosity, moisture, soil penetration resistance and hydraulic conductivity) of the soil sampled presented a strong spatial dependence before and after grazing.

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Section: Introductionmentioning

confidence: 99%

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

et al. 2018

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“…The distances were used as the x-axis and the Moran's I coefficients as the y-axis (Figure 3), thus reflecting the variation of the spatial autocorrelation degree with distance. In the other eight measurements except for 27 May, Moran's I coefficients were significant with p > 5% and Z-values greater than |1.96| [38,39]. However, the Moran's I coefficient on 27 May was insignificant.…”

Section: Spatial Autocorrelation Analysis Of Soil Moisturementioning

confidence: 81%

Spatio-Temporal Heterogeneity of Soil Moisture on Shrub–Grass Hillslope in Karst Region

Jun-cai

Meng

et al. 2023

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Influenced by the topography, the spatial variation of soil thickness on karst slopes is very large, and accordingly the spatial variation of soil moisture is also large. Therefore, analyzing the spatial heterogeneity of soil moisture on hillslopes is important for maintaining ecosystem stability. Combining geostatistical methods and GIS technology, the spatial variability and distribution pattern of soil moisture and the influencing factors of spatial variation and surface soil moisture (0–7 cm) on a typical karst shrub–grass hillslope were analyzed. The results showed that the mean soil moisture and coefficient of variation (CV) ranged between 25.7–42.6% and 10.3–20.9%, respectively, showing a moderate variation. The soil moisture presented a moderate or strong spatial autocorrelation in the sampling scale. The occurrence of rainfall events can exert a great influence on reducing the spatial heterogeneity of soil moisture. The spatial distribution pattern of soil moisture showed roughly plaque or stripe distribution. When soil moisture was much lower, the patch space fragmentation of soil moisture was higher. The soil moisture was higher in the low and middle parts of the plot. We can conclude that factors such as topography, vegetation, and weather conditions will exert a significant effect on soil moisture spatial variability. Areas with lower slope and higher vegetation coverage were more conducive to the retention of soil moisture.

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“…Although studies and field experiences are fundamental for the knowledge and mapping of soil attributes and classification (Buol et al, 2011), the line of research using pedrometry is gaining focus in soil studies due to the operational agility, low cost and reliable results (Cardoso et al, 2016;Ceddia et al, 2014;Hengl et al, 2015;McBratney et al, 2003). The quantitative techniques of spatial prediction are generally derived from geostatistics or from pedo-transference functions (Carvalho et al;, McBratney et al, 2003Webster, 1994) and these were used in the mapping of attributes and soil classification in studies executed by Carvalho et al (2002), Minasny & Hartemink (2011), Moore et al (1993), Souza et al (2010) and Souza et al (2015).…”

Section: Introduction and Objectivesmentioning

confidence: 99%

Pastures Degradation and the Relation with Pedo-Geomorphological Attributes in Watershed

et al. 2019

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The objective of this study was to map the levels of degradation of pastures and its association with chemical properties of the soil and relief. We selected a sub-basin located in the municipality of Viçosa, Minas Gerais, and we mapped the degradations through Ikonos images that were submitted for classification. Soil samples were collected and analyzed chemically; the results were transformed in spatial data using cokriging, based on variables of the digital elevation model. We associated the maps (cokriging) with data from exposure of the hillside, levels of solar radiation and levels of the pastures' degradation. The pastures were mainly classified in moderate (44%) and very strong (30%) degradation levels. The areas with mild degradation tend to increase when there is a higher sum of bases, cationic exchange capacity and organic matter. The portions facing North and the increase of solar radiation showed more advanced stages of degradation.

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Physical attributes of a pasture soil in southeast Goiás determined by geostatistics

Cited by 3 publications

References 13 publications

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

Spatial variability of soil physical-hydric attributes under bovine trampling in agreste of Pernambuco State, Brazil

Spatio-Temporal Heterogeneity of Soil Moisture on Shrub–Grass Hillslope in Karst Region

Pastures Degradation and the Relation with Pedo-Geomorphological Attributes in Watershed

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