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 5 – Land Erodibility Model DevelopmentSoil erodibility is governed by soil texture, but varies with changes <strong>in</strong> moisture, aggregationand surface crust<strong>in</strong>g (Zobeck, 1991; Merrill et al., 1999). These factors affect the strength ofcohesive forces between soil particles and the availability of loose erodible sediments on thesoil surface. Together these conditions act aga<strong>in</strong>st drag and lift forces associated with w<strong>in</strong>dshear. The effect of non-erodible elements like vegetation is through a partition<strong>in</strong>g of w<strong>in</strong>dshear stress between roughness elements and the soil surface, result<strong>in</strong>g <strong>in</strong> an <strong>in</strong>crease <strong>in</strong>roughness length and potential decrease <strong>in</strong> w<strong>in</strong>d erosivity (Marshall, 1971; Raupach et al.,1993). Factors controll<strong>in</strong>g land erodibility <strong>in</strong>clude those affect<strong>in</strong>g soil erodibility, land typecharacteristics (vegetation and geomorphology), climate (ra<strong>in</strong>fall, radiation balance,w<strong>in</strong>d<strong>in</strong>ess) and management (Figure 5.2). Where non-erodible roughness elements are absent,land erodibility is controlled by soil erodibility.The term land erodibility implies a relative susceptibility of land areas to w<strong>in</strong>d erosion.Factors controll<strong>in</strong>g soil and land erodibility operate at a range of spatial (local to global) andtemporal (seconds to years) scales. Climate variability and land management factors drivechanges <strong>in</strong> soil erodibility and surface roughness conditions with<strong>in</strong> a landscape. Thisvariability means that soil and land erodibility are spatio-temporally dynamic through acont<strong>in</strong>uum (Geeves et al., 2000; Chapter 2, Section 2.1).5.3.2 Rationale for Model DevelopmentWebb et al. (2006) reported the development of an <strong>Australia</strong>n Land Erodibility Model(AUSLEM) through the specification of a threshold-based rule-set. The rule-set def<strong>in</strong>esconditions under which the <strong>Australia</strong>n landscape may become susceptible to w<strong>in</strong>d erosion.AUSLEM assigns land erodibility rank<strong>in</strong>gs through the rule-set, which is applied to <strong>in</strong>puts ofsoil texture (sand, silt and clay content), and mean monthly grass cover (%), soil moisture(mm per 10 cm profile) and ra<strong>in</strong>fall (mm). The model is run us<strong>in</strong>g monthly-average 5 x 5 kmgridded <strong>in</strong>puts of grass cover, soil water content and ra<strong>in</strong>fall obta<strong>in</strong>ed from the AussieGRASS pasture growth model (Carter et al., 1996a) and Bureau of Meteorology. Soil textural<strong>in</strong>put data were acquired from the <strong>Australia</strong>n Natural Resources Atlas (see DEWHA, 2007).The model did not account for tree or stone cover effects on w<strong>in</strong>d erosion.Webb et al. (2006) applied AUSLEM to assess land erodibility on a national basis underrepresentative “wet”, “normal” and “dry” conditions. The model demonstrated an ability to134