Biomechanical effects, lithological variations, and local pedodiversity in some forest soils of Arkansas

Phillips, Joan M.

doi:10.1016/s0016-7061(04)00093-x

Cited by 14 publications

(26 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This indicates abundant local subsurface rock fragment concentrations, but concentrations that are not laterally extensive enough to result in recognition or designation as a stone line or zone in a standard soil profile description based on pit walls. We interpreted this as likely representing localized input of rock fragments into stump holes and uprooting pits, as opposed to general soil mixing, which would result in more areally extensive stone concentrations (Phillips and Marion 2004a;). …”

Section: Trees and Soil Morphology In The Ouachita Mountainsmentioning

confidence: 99%

“…This perspective goes back at least to the late nineteenth century, but only recently have conceptual models of soil and regolith incorporating the idea of continuous bioturbation become widely accepted (Johnson 2002;Gabet, Reichmann, and Seabloom 2003). The study of biological effects on soils has traditionally concentrated on biochemical, ecological, and edaphic influences, but increasingly biomechanical effects have been found to be of comparable or even greater importance (Johnson 1993(Johnson , 2002Balek 2002;Gabet, Reichmann, and Seabloom 2003;Phillips and Marion 2004a). With respect to biomechanical effects of vegetation in general and trees in particular, most attention has focused on tree uprooting (treethrow or tree tip).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Biomechanical Effects of Trees on Soil and Regolith: Beyond Treethrow

Phillips

Marion

2006

Annals of the Association of American Geographers

View full text Add to dashboard Cite

Section: Trees and Soil Morphology In The Ouachita Mountainsmentioning

confidence: 99%

mentioning

confidence: 99%

Biomechanical Effects of Trees on Soil and Regolith: Beyond Treethrow

Phillips

Marion

2006

Annals of the Association of American Geographers

View full text Add to dashboard Cite

“…Soil cover composition, functioning and diversity (pedodiversity) depend on regional climatic conditions and geodiversity (Ibáñez et al, 1998;Phillips and Marion, 2005;Soil Atlas of Europe, 2005;Krasilnikov et al, 2007;Jeffry et al, 2010). Soil cover pedodiversity is also substantially influenced by land management (Fisher et al, 2002;Lubowski et al, 2006).…”

Section: Pedodiversitymentioning

confidence: 99%

Pedodiversity of three experimental stations in Estonia

et al. 2016

View full text Add to dashboard Cite

The composition and properties of soil cover in three experimental areas in Estonia were analysed in terms of soil forming processes and land management practises. These areas were Jõgeva (JEA), Kuusiku (KEA) and Olustvere (OEA). Pedodiversity, humus forms and agrochemical status were analysed within seven arable land parcels. The soil cover of JEA was relatively homogenous. Dominant soil species were Cutanic Luvisols and Haplic Cambisols and the dominant soil texture of epipedons were slightly stony (pebbley) loams. The soil of KEA was much more heterogeneous, with five contrasting soil species in terms of soil genesis and four soil moisture states. The soil species in KEA were Mollic Gleysols, Haplic Cambisols, Gleyic Luvisols and Rendzic Cambisols (with relatively heterogeneous soils textures; from sands to loams). OEA was predominantly Stagnic Albeluvisol, with the topsoil texture consisting of sandy loam textures. In terms of soil species and properties JEA is representative of Central Estonian, OEA of South Estonian and KEA of North Estonian pedo-ecological conditions. These areas are generally representative of arable soils of the eastern part of the North European Plain. Soil cover is treated as a medium through which it is possible to improve the environmental status of an area. The 'environment protection value' (EPV) of soils were evaluated and detailed EPV categories were derived. Soils of JEA have high EPV due to neutral to slightly acid reaction, optimum humus contents, high cation exchange capacity, sufficient soil depth and the physical properties of subsoils are optimal. The EPV of KEA soil cover is less, due to high content of rock fragments in soil and and low biological activity within epipedons.

show abstract

“…Soil mapping has revealed extensive variability of forest soils over small areas and short distances (Boruvka et al, 2007;Bruckman et al, 2011;Phillips and Marion, 2005). Such mappings usually show greater variability in forest -than in similar non-forest soils (Phillips and Marion, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…Such mappings usually show greater variability in forest -than in similar non-forest soils (Phillips and Marion, 2005). As a key variable for a number of climatic, ecological, hydrological and nutrient-based processes operating in different intensities and, at different spatio-temporal scale, SOC is highly variable in time and space (Nielsen and Wendroth, 2003) across landscapes.…”

Section: Introductionmentioning

confidence: 99%

State-Space Estimation of Soil Organic Carbon Stock

Ogunwole¹,

Timm²,

Obidike-Ugwu³

et al. 2014

International Agrophysics

View full text Add to dashboard Cite

Understanding soil spatial variability and identifying soil parameters most determinant to soil organic carbon stock is pivotal to precision in ecological modelling, prediction, estimation and management of soil within a landscape. This study investigates and describes field soil variability and its structural pattern for agricultural management decisions. The main aim was to relate variation in soil organic carbon stock to soil properties and to estimate soil organic carbon stock from the soil properties. A transect sampling of 100 points at 3 m intervals was carried out. Soils were sampled and analyzed for soil organic carbon and other selected soil properties along with determination of dry aggregate and water-stable aggregate fractions. Principal component analysis, geostatistics, and state-space analysis were conducted on the analyzed soil properties. The first three principal components explained 53.2% of the total variation; Principal Component 1 was dominated by soil exchange complex and dry sieved macroaggregates clusters. Exponential semivariogram model described the structure of soil organic carbon stock with a strong dependence indicating that soil organic carbon values were correlated up to 10.8m.Neighbouring values of soil organic carbon stock, all waterstable aggregate fractions, and dithionite and pyrophosphate iron gave reliable estimate of soil organic carbon stock by state-space.

show abstract

Biomechanical effects, lithological variations, and local pedodiversity in some forest soils of Arkansas

Cited by 14 publications

References 0 publications

Biomechanical Effects of Trees on Soil and Regolith: Beyond Treethrow

Biomechanical Effects of Trees on Soil and Regolith: Beyond Treethrow

Pedodiversity of three experimental stations in Estonia

State-Space Estimation of Soil Organic Carbon Stock

Contact Info

Product

Resources

About