Wind Erosion in Western Queensland Australia
Modelling Land Susceptibility to Wind Erosion in Western ... - Ninti One Modelling Land Susceptibility to Wind Erosion in Western ... - Ninti One
Chapter 2 – Land Erodibility ControlsFigure 2.5 Diagram illustrating the dependence of soil textures on drought to experience a significantincrease in soil erodibility. The dependence of clay textured soils on drought is due to the requirementfor long dry periods that enable the breakdown of aggregates to occur (after Gillette, 1978)Soil Aggregation Effects on Wind ErosionSoil aggregation affects wind erosion by increasing the surface roughness length (z 0 ),decreasing the availability of loose erodible material, and increasing the wind shear velocityrequired to mobilise grains (u *t ). Aggregation also plays a role in fine particle emissions, withaggregate size and stability affecting the impact energy of saltating particles and the potentialfor abrasion to occur (Zobeck, 1991).Chepil (1942) and Chepil and Woodruff (1954) reported on the use of dry aggregate structureto rank soil erodibility. They identified that the dry aggregate component of a soil >0.84 mmin diameter is typically non-erodible. This component drives the availability of loose erodiblematerial (grains
Chapter 2 – Land Erodibility Controlsflux was determined for nine soils in cultivated and non-cultivated (crusted and aggregated)states (Section 2.2.3). They found an exponential relationship between percentage dryaggregates (%DA) and erosion rate:Iw0.078%DA= 8.33exp(2.11)where Iw is the erosion rate at 65 kmh -1 (tha -1 min -1 ), and %DA is the dry aggregation >0.85mm (%). The relationship holds for a range of soil textures, suggesting %DA is morephysically related to erosion rates than percentage clay content, which requires one regressionequation to define the erodibility of various surface conditions (Leys, et al., 1996). Thisphysical relationship stems from the direct effect of aggregate (grain) size on u *t (Equation2.5). The expression confirmed the results of a similar study by Chepil (1953).Fryrear et al. (1994) developed a regression model for computing the erodible fraction (EF)of soils based on soil texture and chemical data.EF= 29.09+ 0.31( Sand)+ 0.17( Silt)+ 0.33( SC) 4.66( OC) 0.95( CaCo3)(2.12)where Sand is the soil sand content, Silt is the soil silt content, SC is the ratio of sand to claycontents, OC is the organic carbon content, and CaCO 3 is the calcium carbonate content. Animportant characteristic of the model is that it was derived from time-averaged data, and doesnot account for temporal variations in aggregation and the erodible fraction driven by climatevariability and land management.Few published studies have examined temporal variations in soil aggregation in response toclimate variations, land use or land management practices. The majority of existing studieshave examined the effects of freeze-thaw cycles on soil aggregation in cultivated lands inNorth America (e.g. Chepil, 1954; Bisal and Ferguson, 1968; Merrill, 1999; Bullock et al.,2001). Despite the global significance of wind erosion in the world’s hot, dryland regions,research that addresses temporal changes in soil erodibility in these environments is scarce.While the effects of soil surface conditions on erodibility have been described in someresearch, for example Gillette et al. (1980) and Gillette et al. (1982), a significant gap remainsin our understanding of temporal changes in soil aggregation in rangeland environments.43
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Chapter 2 – Land Erodibility Controlsflux was determ<strong>in</strong>ed for n<strong>in</strong>e soils <strong>in</strong> cultivated and non-cultivated (crusted and aggregated)states (Section 2.2.3). They found an exponential relationship between percentage dryaggregates (%DA) and erosion rate:Iw0.078%DA= 8.33exp(2.11)where Iw is the erosion rate at 65 kmh -1 (tha -1 m<strong>in</strong> -1 ), and %DA is the dry aggregation >0.85mm (%). The relationship holds for a range of soil textures, suggest<strong>in</strong>g %DA is morephysically related to erosion rates than percentage clay content, which requires one regressionequation to def<strong>in</strong>e the erodibility of various surface conditions (Leys, et al., 1996). Thisphysical relationship stems from the direct effect of aggregate (gra<strong>in</strong>) size on u *t (Equation2.5). The expression confirmed the results of a similar study by Chepil (1953).Fryrear et al. (1994) developed a regression model for comput<strong>in</strong>g the erodible fraction (EF)of soils based on soil texture and chemical data.EF= 29.09+ 0.31( Sand)+ 0.17( Silt)+ 0.33( SC) 4.66( OC) 0.95( CaCo3)(2.12)where Sand is the soil sand content, Silt is the soil silt content, SC is the ratio of sand to claycontents, OC is the organic carbon content, and CaCO 3 is the calcium carbonate content. Animportant characteristic of the model is that it was derived from time-averaged data, and doesnot account for temporal variations <strong>in</strong> aggregation and the erodible fraction driven by climatevariability and land management.Few published studies have exam<strong>in</strong>ed temporal variations <strong>in</strong> soil aggregation <strong>in</strong> response toclimate variations, land use or land management practices. The majority of exist<strong>in</strong>g studieshave exam<strong>in</strong>ed the effects of freeze-thaw cycles on soil aggregation <strong>in</strong> cultivated lands <strong>in</strong>North America (e.g. Chepil, 1954; Bisal and Ferguson, 1968; Merrill, 1999; Bullock et al.,2001). Despite the global significance of w<strong>in</strong>d erosion <strong>in</strong> the world’s hot, dryland regions,research that addresses temporal changes <strong>in</strong> soil erodibility <strong>in</strong> these environments is scarce.While the effects of soil surface conditions on erodibility have been described <strong>in</strong> someresearch, for example Gillette et al. (1980) and Gillette et al. (1982), a significant gap rema<strong>in</strong>s<strong>in</strong> our understand<strong>in</strong>g of temporal changes <strong>in</strong> soil aggregation <strong>in</strong> rangeland environments.43