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A multiscale study of silty soil structure

Identifieur interne : 000E22 ( Istex/Curation ); précédent : 000E21; suivant : 000E23

A multiscale study of silty soil structure

Auteurs : F. Bartoli [France] ; V. Genevois-Gomendy ; J. J. Royer ; S. Niquet ; H. Vivier ; R. Grayson [Australie]

Source :

RBID : ISTEX:4B6EE8E701483E6BB6D4ECE9D5E93FD55C2B8808

Descripteurs français

English descriptors

Abstract

Dependency of soil properties on scale is a crucial issue in soil physics. In this paper, fractal approaches are used in two case studies in France and Australia, respectively, to study how measured physical soil properties change with the sample spacing and the scale of observation. At a scale of 10–1000 m (104 to 106 mm), fractals were applied to sample data from a linear transect, while at the 10−6 to 102 mm scale, fractals were applied in two dimensions to analyse both soil micro‐ and macrostructure, based on thin section samples. Porosity was characterized by short‐range spatial variations using sample spacings of 0.5 and 5 m (from the transect data), and a sample spacing of 1 cm (from the thin section analysis). The size of the representative elementary volume (REV) or representative elementary area (REA), required to represent statistically the elementary soil structure, was identified in three ways: (i) by the correlation length of a representative interconnected pore network, (ii) by the upper limit of the non‐linear increase with observation scale of mean porosity (upper limit of the solid mass fractal domain), and (iii) by the non‐linear decrease with observation scale of the coefficient of variation, CV, of mean porosity. Two embedded REAs were identified: the first (0.1–0.4 mm) related to the soil microstructure whereas a second (11–44 mm) related to the soil macrostructure. The solid mass fractal dimensions of the two embedded structural domains showed that hierarchical heterogeneity of soil structure was more pronounced for microstructures than for macrostructures. The mean area ratio of microstructural matrix/total surface and the CV of mean microporosity both scale similarly at observation scales smaller than the REA size. Their scaling exponents were both related to the fractal dimension of microstructural matrix. This preliminary study shows that the theory of fractals applied to soil structures at a specific scale range cannot be directly applied to predict soil physical properties at another scale range. This is because there are different interdependent structuring processes operating at different scales resulting in fractal dimensions being consistent only over particular domain limits.

Url:
DOI: 10.1111/j.1365-2389.2004.00668.x

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V. Genevois-Gomendy
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J. J. Royer
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S. Niquet
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H. Vivier
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<term>August</term>
<term>Australian soil</term>
<term>Bartoli</term>
<term>Besi</term>
<term>Bimodal</term>
<term>Binary</term>
<term>Binary besi</term>
<term>Binary images</term>
<term>British society</term>
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<term>Burrough</term>
<term>Clay content</term>
<term>Coefficient</term>
<term>Correlation length</term>
<term>Crawford rawls</term>
<term>Cube</term>
<term>Different scales</term>
<term>Downslope</term>
<term>Downslope units</term>
<term>Dual porosity</term>
<term>Eggleston peirce</term>
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<term>Fractal approach</term>
<term>Fractal dimension</term>
<term>Fractal dimensions</term>
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<term>Fractal domains</term>
<term>Fractal geometry</term>
<term>Fractal theory</term>
<term>French soil</term>
<term>French soils</term>
<term>Geoderma</term>
<term>Hierarchical</term>
<term>Hydraulic conductivity</term>
<term>Image analysis</term>
<term>Image analysis data</term>
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<term>June</term>
<term>Linear transect</term>
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<term>Macropore</term>
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<term>Macroporosity</term>
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<term>Main slope</term>
<term>Mandelbrot</term>
<term>Matrix</term>
<term>Maximum size</term>
<term>Microporosity</term>
<term>Microstructure</term>
<term>Midslope</term>
<term>Midslope soil</term>
<term>Midslope soils</term>
<term>Multiscale</term>
<term>Multiscale study</term>
<term>Observation scale</term>
<term>Pair correlation function</term>
<term>Percolation</term>
<term>Percolation index</term>
<term>Percolation probability</term>
<term>Percolation theory</term>
<term>Plateau</term>
<term>Plateau midslope</term>
<term>Plateau soil</term>
<term>Pore</term>
<term>Pore connectivity</term>
<term>Pore networks</term>
<term>Porosity</term>
<term>Practical implications</term>
<term>Replicates</term>
<term>Sample size</term>
<term>Sample spacing</term>
<term>Sampling date</term>
<term>Scale range</term>
<term>Side length</term>
<term>Sigmoidal curve</term>
<term>Silty</term>
<term>Silty soil structure</term>
<term>Soil blocks</term>
<term>Soil characteristics</term>
<term>Soil cubes</term>
<term>Soil fragmentation</term>
<term>Soil macrostructure</term>
<term>Soil moisture</term>
<term>Soil physics</term>
<term>Soil porosity</term>
<term>Soil science</term>
<term>Soil science society</term>
<term>Soil structure</term>
<term>Soil surface</term>
<term>Soil volume</term>
<term>Solid mass fractal dimension</term>
<term>Solid mass fractal dimensions</term>
<term>Spatial variability</term>
<term>Spatial variation</term>
<term>Spatial variations</term>
<term>Standard deviation</term>
<term>Standard errors</term>
<term>Structural domains</term>
<term>Tarrawarra</term>
<term>Theoretical relationship</term>
<term>Thin sections</term>
<term>Topsoil</term>
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<term>Ultraviolet light</term>
<term>Upper limit</term>
<term>Upper limits</term>
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<term>Sample spacing</term>
<term>Sampling date</term>
<term>Scale range</term>
<term>Side length</term>
<term>Sigmoidal curve</term>
<term>Silty</term>
<term>Silty soil structure</term>
<term>Soil blocks</term>
<term>Soil characteristics</term>
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<term>Spatial variation</term>
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<term>Theoretical relationship</term>
<term>Thin sections</term>
<term>Topsoil</term>
<term>Total porosity</term>
<term>Transect</term>
<term>Ultraviolet light</term>
<term>Upper limit</term>
<term>Upper limits</term>
<term>Variability</term>
<term>Volumetric</term>
<term>Volumetric soil moisture</term>
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<div type="abstract" xml:lang="en">Dependency of soil properties on scale is a crucial issue in soil physics. In this paper, fractal approaches are used in two case studies in France and Australia, respectively, to study how measured physical soil properties change with the sample spacing and the scale of observation. At a scale of 10–1000 m (104 to 106 mm), fractals were applied to sample data from a linear transect, while at the 10−6 to 102 mm scale, fractals were applied in two dimensions to analyse both soil micro‐ and macrostructure, based on thin section samples. Porosity was characterized by short‐range spatial variations using sample spacings of 0.5 and 5 m (from the transect data), and a sample spacing of 1 cm (from the thin section analysis). The size of the representative elementary volume (REV) or representative elementary area (REA), required to represent statistically the elementary soil structure, was identified in three ways: (i) by the correlation length of a representative interconnected pore network, (ii) by the upper limit of the non‐linear increase with observation scale of mean porosity (upper limit of the solid mass fractal domain), and (iii) by the non‐linear decrease with observation scale of the coefficient of variation, CV, of mean porosity. Two embedded REAs were identified: the first (0.1–0.4 mm) related to the soil microstructure whereas a second (11–44 mm) related to the soil macrostructure. The solid mass fractal dimensions of the two embedded structural domains showed that hierarchical heterogeneity of soil structure was more pronounced for microstructures than for macrostructures. The mean area ratio of microstructural matrix/total surface and the CV of mean microporosity both scale similarly at observation scales smaller than the REA size. Their scaling exponents were both related to the fractal dimension of microstructural matrix. This preliminary study shows that the theory of fractals applied to soil structures at a specific scale range cannot be directly applied to predict soil physical properties at another scale range. This is because there are different interdependent structuring processes operating at different scales resulting in fractal dimensions being consistent only over particular domain limits.</div>
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