Controls of the spatial variability of Cr concentration in topsoils of a central French landscape

Salvador‐Blanes, Sébastien; Cornu, Sophie; Bourennane, Hocine; King, D.

doi:10.1016/j.geoderma.2005.05.003

Cited by 11 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5f). Previous studies showed that they were influenced by their position along the slope [7] and by anthropogenic features [23]. We here demonstrate that subsurface topography, resulting from differential weathering that expresses the original mineralogical heterogeneity of the gneiss parent material, also influences their spatial differentiation.…”

Section: Conclusion: Inputs Of the 3d Approach To The Understanding Of The Planosols Formationsupporting

confidence: 58%

See 1 more Smart Citation

3D representation of soil distribution: An approach for understanding pedogenesis

Delarue

Cornu

Daroussin

et al. 2009

Comptes Rendus. Géoscience

Self Cite

View full text Add to dashboard Cite

Soils are characterised by a spatial variability in the three dimensions (3D) of space. However, 3D studies remain scarce due to the qualitative nature of many soil horizon characteristics, notably the horizon designation. Indeed, existing 3D tools are mainly developed for quantitative data. To solve this difficulty, we propose a new approach based on the interpolation of the horizon thickness to derive Digital Elevation Models for both the upper and the lower limits of each horizon. This approach was applied to Planosols previously extensively studied with 2D approaches. The pseudo 3D obtained representation evidences soil processes that were missed in 2D approaches. As an example, we evidence the impact of differential weathering, resulting from the mineralogical heterogeneity of the parent material, on the subsequent pedogenesis. RESUMELes sols sont des continuums tridimensionnels (3D) caractérisés par une variabilité spatiale dans l'ensemble des directions de l'espace mais les études 3D demeurent rares. Une des difficultés majeures des approches 3D est due la nature qualitative de nombreuses caractéristiques des horizons, dans la mesure où la plupart des outils 3D existants sont principalement développés pour l'interpolation 3D de données quantitatives. En substitution à l'interpolation directe de la variable "nom de l'horizon", nous proposons une approche basée sur l'interpolation de l'épaisseur des horizons pour calculer les Modèles Numériques d'Altitude correspondant aux limites de chaque horizon, permettant ainsi une visualisation pseudo 3D. Cette étude, appliquée à des Planosols bien caractérisés en 2D par ailleurs, montre que la représentation 3D des sols permet de souligner des processus omis lors des approches précédentes, tels que l'impact de l'altération différentielle, résultant de l'hétérogénéité initiale du matériau parental, sur une pédogenèse ultérieure.

show abstract

Section: Conclusion: Inputs Of the 3d Approach To The Understanding Of The Planosols Formationsupporting

confidence: 58%

“…A detailed DEM [23] of the area was also obtained with 4600 elevation points measured in the field using a laser tacheometer (Leica TC500).…”

Section: Sampling and Available Datamentioning

confidence: 99%

3D representation of soil distribution: An approach for understanding pedogenesis

Delarue

Cornu

Daroussin

et al. 2009

Comptes Rendus. Géoscience

Self Cite

View full text Add to dashboard Cite

show abstract

“…The presence of PTEs in soil has been attracting reasonable attention because of their ecological and biological risks. Several studies in different biomes have been performed to identify the sources of PTEs in the soils [ 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 ].…”

Section: Introductionmentioning

confidence: 99%

Modeling and Assessing the Spatial and Vertical Distributions of Potentially Toxic Elements in Soil and How the Concentrations Differ

Ahado

Nwaogu

Sarkodie

et al. 2021

Toxics

View full text Add to dashboard Cite

A healthy soil is a healthy ecosystem because humans, animals, plants, and water highly depend upon it. Soil pollution by potentially toxic elements (PTEs) is a serious concern for humankind. The study is aimed at (i) assessing the concentrations of PTEs in soils under a long-term heavily industrialized region for coal and textiles, (ii) modeling and mapping the spatial and vertical distributions of PTEs using a GIS-based ordinary kriging technique, and (iii) identifying the possible sources of these PTEs in the Jizerské Mountains (Jizera Mts.) using a positive matrix factorization (PMF) model. Four hundred and forty-two (442) soil samples were analyzed by applying the aqua regia method. To assess the PTE contents, the level of pollution, and the distribution pattern in soil, the contamination factor (CF) and the pollution load index load (PLI) were applied. ArcGIS-based ordinary kriging interpolation was used for the spatial analysis of PTEs. The results of the analysis revealed that the variation in the coefficient (CV) of PTEs in the organic soil was highest in Cr (96.36%), followed by Cu (54.94%) and Pb (49.40%). On the other hand, the mineral soil had Cu (96.88%), Cr (66.70%), and Pb (64.48%) as the highest in CV. The PTEs in both the organic soil and the mineral soil revealed a high heterogeneous variability. Though the study area lies within the “Black Triangle”, which is a historic industrial site in Central Europe, this result did not show a substantial influence of the contamination of PTEs in the area. In spite of the rate of pollution in this area being very low based on the findings, there may be a need for intermittent assessment of the soil. This helps to curtail any excessive accumulation and escalation in future. The results may serve as baseline information for pollution assessment. It might support policy-developers in sustainable farming and forestry for the health of an ecosystem towards food security, forest safety, as well as animal and human welfare.

show abstract

“…In general, deficient or excessive concentrations of the metal elements may have adverse effects on plant growth, environmental quality, and human health [4,5]. Soil metal elements mainly originate from the soil parent material [6,7], and then are redistributed by pedological activities [5].…”

Section: Introductionmentioning

confidence: 99%

Surface soil metal elements variability affected by environmental and soil properties

Yan

et al. 2021

PLoS ONE

View full text Add to dashboard Cite

Identifying the factors controlling the spatial variability of soil metal elements could be a challenge task due to the interaction of environmental attributes and human activities. This study aimed to investigate the critical explanatory variables controlling total Ca, Cd, Cr, Cu, Zn, Fe, Mn, Mg, Pb, and Zn variations in the arable topsoil using classical statistics, principal component analysis, and random forest techniques. The work was conducted in the core region of the Three Gorges Reservoir of China. The explanatory variables included soil, topography, climate, vegetation, land use type, and distance-related parameters. Average concentrations of the metal elements were in order of Fe > Mg > Ca > Mn > Zn > Cr > Ni > Pb > Cu > Cd. Soil Cr, Fe, and Pb showed low variability while others presented medium variability. Average concentrations of Cr, Fe, Cd, and Mg exceeded their corresponding background values. There were highly positive correlations between all metal elements except Pb, Cd and Cr. The principal component analysis further demonstrated that the sources of Pb, Cd, and Cr differed with other elements. The results of random forest suggested that soil properties followed by topography were critical parameters affecting the variations of Ca, Mg, Mn, Fe, Ni, Zn, and Cu. Agricultural activities and soil properties were major factors controlling the variations of Pb, Cr, and Cd. Further study should be conducted to understand the relations between the metal elements and soil properties.

show abstract

Controls of the spatial variability of Cr concentration in topsoils of a central French landscape

Cited by 11 publications

References 32 publications

3D representation of soil distribution: An approach for understanding pedogenesis

3D representation of soil distribution: An approach for understanding pedogenesis

Modeling and Assessing the Spatial and Vertical Distributions of Potentially Toxic Elements in Soil and How the Concentrations Differ

Surface soil metal elements variability affected by environmental and soil properties

Contact Info

Product

Resources

About