Spatial variability of soil horizon depth in natural loess-derived soils

Vanwalleghem, Tom; Poesen, Jean; McBratney, Alex B.; Deckers, Jozef

doi:10.1016/j.geoderma.2010.03.013

Cited by 56 publications

(54 citation statements)

References 34 publications

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“…Refraction seismic methods have been utilized with success (Meyer et al, 2007), but the costly equipment needed is not ideally suited for fieldwork in remote locations. Auger boring (Pérez, 1987b(Pérez, , 1995Alfaro et al, 2001;Vanwalleghem et al, 2010) remains the preferred method for fieldwork and was chosen and allowed for this project at Haleakalā National Park (HNP).…”

Section: Volcanic Ash Soil Toposequences and Measurement Of Soil Depthmentioning

confidence: 99%

Biogeomorphic influence of soil depth to bedrock, volcanic ash soils, and surface tephra on silversword distribution, Haleakalā Crater (Maui, Hawai'i)

Pérez

2015

Geomorphology

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Section: Volcanic Ash Soil Toposequences and Measurement Of Soil Depthmentioning

confidence: 99%

Biogeomorphic influence of soil depth to bedrock, volcanic ash soils, and surface tephra on silversword distribution, Haleakalā Crater (Maui, Hawai'i)

Pérez

2015

Geomorphology

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“…Moore et al 1993;Florinsky et al 2002;. The fact that the very close relationship between Luvisol profile stratification and topography is a specificity of agricultural land was reported by Vanwalleghem et al (2010). Their research situated in a natural forest area showed that the dependence of soil depth on terrain units is very low and that the variability of soil horizon thickness is not related to the variability of topography.…”

Section: Resultsmentioning

confidence: 85%

“…Slope, curvature, catchment area, and topographic wetness index (TWI) are the most frequent variables. The various properties investigated include: soil depth (Odeh et al 1995;Penížek & Borůvka 2006), thickness of horizons (Florinsky et al 2002;Vanwalleghem et al 2010), particle size distribution (Odeh et al 1995;Penížek & Borůvka 2004), organic carbon content (Schwanghart & Jarmer 2011), soil unit delineation (Zádorová et al 2008. In Luvisols, few studies focus on soil depth and horizonation using terrain predictors.…”

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confidence: 99%

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Relating extent of colluvial soils to topographic derivatives and soil variables in a Luvisol sub-catchment, Central Bohemia, Czech Republic

Zádorová¹,

Žížala²,

Penížek³

et al. 2014

Soil & Water Res.

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“…It should be noted that in declivitous areas, laminar erosion is nonuniform. Factors such as slope, curvature and the soil type, can naturally lead to these soil thickness variations ( Vanwalleghem et al, 2010). Previous work in different land use (Landi et al, 2004;Manning et al, 2001) showed that the surface water run-off can largely control spatial patterns of soil depth, thus indicating what may be influencing this variation between seasons.…”

Section: Discussionmentioning

confidence: 99%

Field-based quality indicators in degraded pasture of the Atlantic forest biome

Rocha¹,

Donagemma²,

Andrade³

et al. 2017

Aust J Crop Sci

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Developing techniques that are easily accessible to producers and extension agents would facilitate the assessment of pasture degradation in rural areas. The objective of this work was to evaluate the sensitivity of field-based indicators of soil quality at different levels of degraded pastures, validate these indicators with those determined in laboratory. Six areas were chosen: four areas of pastures in different gradients of degradation visually assessed (Degraded Pasture 1 -P 1 ; Degraded Pasture 2 -P 2 ; Degraded Pasture 3 -P 3 ; and Degraded Pasture 4 -P 4 ), in descending order of degradation; an area of Capoeira (natural vegetation of soil recovery); and a secondary Forest used as reference. The soil under all areas was an Ultisol clayey, and field determinations used were: soil coverage rate (Soil Cov. Rt ), depth of the root system (D RS ) and "A horizon" thickness. Laboratory determinations were: soil density, total porosity (Tp), macroporosity (Ma), microporosity (Mi), Ca , organic carbon (OC), base (BS) and aluminum saturation (AS). Also, the organic matter compartments such as particulate organic matter (POM), particulate organic carbon and carbon fraction associated with soil minerals were determined. Soil quality ranking were assigned to the different areas, and orthogonal contrasts were made to compare the stages of degradation. Subsequently, linear correlations were adjusted to test whether there were significant differences for the field and laboratory indicators among the areas of study. Soil quality ranking assigned represented the levels of degraded pasture visually observed in field, therefore allowing correlations with field indicators "A horizon" thickness (Rainy season r =0.71 and Dry season r =0.91) and D RS (Rainy season r =0.81 and dry season r =0.58). Similar correlations were found when the Soil Cov. Rt was used, where correlations were observed with the "A horizon" thickness (Rainy season r =0.61 and Dry season r =0.75) and D RS (Rainy season r=0.76 and Dry season r =0.84). The field and laboratory determinations showed statistical differences between study areas, indicating that they were sensitive to levels of degradation. Through field determinations, it was possible to separate four groups of degradation: reference (Forest), low degradation (P 4 and P 3 ), under recovery (Capoeira) and high degradation (P 1 and P 2 ). The easily determined field-based quality indicators showed significant correlations with the laboratory values: BS, AS, Ma and POM, especially on the 0-5 cm surface layer, showing small variation between sampling periods and indicating the possibility of using these indicators to differentiate levels of degraded pastures with good accuracy.

show abstract

Spatial variability of soil horizon depth in natural loess-derived soils

Cited by 56 publications

References 34 publications

Biogeomorphic influence of soil depth to bedrock, volcanic ash soils, and surface tephra on silversword distribution, Haleakalā Crater (Maui, Hawai'i)

Biogeomorphic influence of soil depth to bedrock, volcanic ash soils, and surface tephra on silversword distribution, Haleakalā Crater (Maui, Hawai'i)

Relating extent of colluvial soils to topographic derivatives and soil variables in a Luvisol sub-catchment, Central Bohemia, Czech Republic

Field-based quality indicators in degraded pasture of the Atlantic forest biome

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