Geostatistical analysis of sorptivity for a soil under tilled and no-tilled conditions

Sepaskhah, Ali Reza; Ahmadi, Seyed Hamid; Shahbazi, Arzhang

doi:10.1016/j.still.2004.07.019

Cited by 34 publications

(28 citation statements)

References 19 publications

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“…where z(x) is the value of the variable at site x, z(x i +h) is another sample value separated by a distance h and N is the number of pairs separated by a distance h. The semivariogram is defined as the arithmetic mean of all the squares of the differences between pairs of experimental values separated by a distance h, or increments variance of the regionalized variable in localizations separated a distance h (Sepaskhah et al, 2005).…”

Section: Methodsmentioning

confidence: 99%

“…After evaluating the spatial dependence by attribute, the ordinary kriging technique was implemented (Sepaskhah et al, 2005) to carry out spatial prediction at sites not sampled and finally build contour maps by attribute, using the program Surfer v.9 (Golden Software, Golden, Colorado, USA).…”

Section: Methodsmentioning

confidence: 99%

“…As was suggested by Bagarello and Sgroi (2007), random behavior of these attributes can be attributed to the variability found, which was high and medium, respectively (CV = 65.71% and CV = 57.79%), in spite of the fact that initially the statistical analysis shows a behavior close to the normal for these attributes. Moreover, under conditions of soil moisture content at the time of testing infiltration as well as by natural compaction processes, allow to verify the presence of macropores is low and the incidence of repellency affected the lack spatial dependence of these attributes (Sepaskhah et al, 2005;Moody et al, 2009).…”

Section: Smmentioning

confidence: 99%

See 2 more Smart Citations

Spatial Analysis of Infiltration in an Oxisol of the Eastern Plains of Colombia

Orjuela-Matta

Sanabria

Camacho-Tamayo

2012

Chilean J. Agric. Res.

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Studies that involve soil attributes variability help the analysis of the behavior of hydrophysical attributes in space, to support the decision-making process within the conception of precision agriculture. The aim of the present paper was to characterize the spatial variability of the surface infiltration and its relation to some soil physical attributes. The sampling was done with a rectangular mesh of 64 points with perpendicular distances of 52 m × 45 m between sampling points. The attributes studied were bulk density, contents of sand, silt and clay, soil moisture, cumulative infiltration, basic infiltration, sorptivity, and saturated hydraulic conductivity (Ks). Data were analyzed using descriptive statistics and geostatistics, identifying the relationship between attributes, using the Pearson correlation and cluster analysis. Results suggest a behavior of parameters close to normal, attributes related to soil water movement had greater variability, with low basic infiltration (1.46 cm h -1 ) and Ks (0.80 cm h ) show limitations by compaction. Cumulative infiltration and Ks attributes did not fit to models of spatial distribution, finding ranges of 150 m for the other attributes, distance to optimize future sampling for the study of spatial variability. Pearson correlation and cluster analysis allowed establishing relationships between soil attributes; spatial relationships were corroborated in contour maps, where we observed the influence of clay and sand content in the behavior of bulk density, and the influence of these attributes in processes of water infiltration into the soil.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Smmentioning

confidence: 99%

See 1 more Smart Citation

Spatial Analysis of Infiltration in an Oxisol of the Eastern Plains of Colombia

Orjuela-Matta

Sanabria

Camacho-Tamayo

2012

Chilean J. Agric. Res.

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“…Studies comparing no-tillage and conventional tillage indicate that the main effects of management are an increase in soil bulk density in the top 0.20 m and a decrease in total porosity, especially in relation to the decrease in soil macroporosity and the increase in soil resistance to penetration in no-tillage systems (Tormena et al, 1999a;Stone and Silveira, 2001;Tormena et al, 2004;Falleiro et al, 2003;Sepaskhah et al, 2005). Regarding weed occurrence, the systems are also influential, mainly in terms of the higher weed density and biomass in conventional tillage.…”

Section: Introductionmentioning

confidence: 99%

Spatial Correlation Between Physical Properties of Soil and Weeds in Two Management Systems

Schaffrath

Gonçalves

Sousa³

et al. 2015

Rev. Bras. Ciênc. Solo

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The spatial correlation between soil properties and weeds is relevant in agronomic and environmental terms. The analysis of this correlation is crucial for the interpretation of its meaning, for influencing factors such as dispersal mechanisms, seed production and survival, and the range of influence of soil management techniques. This study aimed to evaluate the spatial correlation between the physical properties of soil and weeds in no-tillage (NT) and conventional tillage (CT) systems. The following physical properties of soil and weeds were analyzed: soil bulk density, macroporosity, microporosity, total porosity, aeration capacity of soil matrix, soil water content at field capacity, weed shoot biomass, weed density, Commelina benghalensis density, and Bidens pilosa density. Generally, the ranges of the spatial correlations were higher in NT than in CT. The cross-variograms showed that many variables have a structure of combined spatial variation and can therefore be mapped from one another by co-kriging. This combined variation also allows inferences about the physical and biological meanings of the study variables. Results also showed that soil management systems influence the spatial dependence structure significantly.Keywords: cross-variogram, co-kriging, physical and biological meanings. RESUMO: CORRELAÇÃO ESPACIAL ENTRE ATRIBUTOS FÍSICOS DE SOLO E DE PLANTAS ESPONTÂNEAS EM DOIS SISTEMAS DE MANEJOA correlação espacial entre atributos de solo e de plantas espontâneas tem importância agronômica e ambiental. O entendimento dessa correlação é fundamental para a interpretação do seu significado,

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“…For studies on the spatial distribution patterns of soil properties, techniques such as conventional statistics and geostatistics were widely applied (Saldana et al 1998, McGrath and Zhang 2003, Sepaskhah et al 2005, and based on the theory of a regionalized variable (Matheron 1963, Webster andOliver 2001), geostatistics provides advanced tools to quantify the spatial features of soil parameters and allows for spatial interpolation to be conducted. The research benefits of the geographic information systems (GIS) approach were illustrated by many ecological and agricultural studies (Bradshaw andMuller 1998, Wang et al 2006).…”

mentioning

confidence: 99%

Spatial variability and affecting factors of soil nutrients in croplands of Northeast China: a case study in Dehui County

Wang¹,

Song²,

Zhang³

et al. 2009

PLANT SOIL ENVIRON

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This paper addressed the spatial distribution characteristics of organic matter, total nitrogen, extractable phosphorus and extractable potassium in agricultural soils of Northeast China. The related factors were explored using geostatistics and geographic information systems. The results showed that the log-transformed data of the four soil nutrients followed a normal distribution. Soil extractable phosphorus had a higher coefficient of variation. The experimental variogram of the log-transformed data of soil organic matter, total nitrogen and extractable phosphorus was fitted with an exponential model, while soil extractable potassium was fitted to a spherical model. Soil samples from smaller slope gradients had higher organic matter and total nitrogen. Soil type affected the four soil nutrients significantly. Soil samples from dry farming land had significantly higher total nitrogen and extractable potassium than soil from paddy fields, while the contrary was found for extractable phosphorus. Along the Yinma River, soil samples from the western part have statistically higher values for organic matter, total nitrogen and extractable potassium than those collected from the eastern part.

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Geostatistical analysis of sorptivity for a soil under tilled and no-tilled conditions

Cited by 34 publications

References 19 publications

Spatial Analysis of Infiltration in an Oxisol of the Eastern Plains of Colombia

Spatial Analysis of Infiltration in an Oxisol of the Eastern Plains of Colombia

Spatial Correlation Between Physical Properties of Soil and Weeds in Two Management Systems

Spatial variability and affecting factors of soil nutrients in croplands of Northeast China: a case study in Dehui County

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