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
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Chapter 4 –Modell<strong>in</strong>g Soil Erodibility Dynamics<strong>W<strong>in</strong>d</strong> tunnel experimentation has shown that sandy soils are typically highly erodible under arange of conditions. The model suggests that even on crusted sandy soils the availability ofloose erodible material will be sufficient to <strong>in</strong>itiate saltation. This is supported by w<strong>in</strong>d tunnelmeasurements of Q for crusted sandy soils (e.g. Belnap and Gillette, 1997). Soils with claycontent greater than 50% may experience a greater range of variability <strong>in</strong> susceptibility tow<strong>in</strong>d erosion (Chepil, 1954; Skidmore, 1994). This variability is driven by the temporalevolution of the surface particle size distribution and therefore loose erodible material thatresults from crust and aggregate formation and breakdown.4.4 Modell<strong>in</strong>g Temporal Changes <strong>in</strong> Soil Erodibility4.4.1 ApproachTemporal changes <strong>in</strong> soil erodibility can be modelled by: 1) predict<strong>in</strong>g soil aggregation levels(e.g. DASD or %DA >0.84 mm) then us<strong>in</strong>g that as <strong>in</strong>put to Equation (4.5), or; 2) predict<strong>in</strong>gthe lateral cover of surface crusts and us<strong>in</strong>g that as <strong>in</strong>put to Equation (4.3), which can then be<strong>in</strong>put to Equation (4.5). These approaches are similar to those used <strong>in</strong> the WEPS model(Hagen, 2001; Visser et al., 2005; Chapter 3, Section 3.2.3). However, development andapplication of these approaches is restricted by the lack of quantitative data on factorscontroll<strong>in</strong>g crust cover and dry aggregate size distributions <strong>in</strong> rangeland environments. Theapproach presented here seeks to characterise the form and rate of temporal changes <strong>in</strong> soilsurface conditions between the states of m<strong>in</strong>imum and maximum erodibility.4.4.2 Temporal Model FrameworkFigure 4.1 illustrates the relationships between mechanisms controll<strong>in</strong>g soil erodibility. Themechanisms can be placed <strong>in</strong>to three groups. The first group <strong>in</strong>cludes climatic factors that <strong>in</strong>the first <strong>in</strong>stance may act <strong>in</strong> reduc<strong>in</strong>g soil erodibility. The dom<strong>in</strong>ant factor <strong>in</strong> this group isra<strong>in</strong>fall, the effects of which are moderated by solar radiation <strong>in</strong>tensity, air temperature,evaporation rates and w<strong>in</strong>d<strong>in</strong>ess. The second group are related to management, and <strong>in</strong>cludefactors that may <strong>in</strong>crease the susceptibility of a soil to w<strong>in</strong>d erosion. In rangelandenvironments the dom<strong>in</strong>ant factor <strong>in</strong> this group is the stock<strong>in</strong>g rate (animals per unit area)which drives disturbance (trampl<strong>in</strong>g) <strong>in</strong>tensity and crust/aggregate breakdown. Climatic110