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Wind Erosion in Western Queensland Australia

Modelling Land Susceptibility to Wind Erosion in Western ... - Ninti One

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Chapter 5 – Land Erodibility Model DevelopmentChapter 4 of this thesis established a framework for modell<strong>in</strong>g soil erodibility. Due to an<strong>in</strong>ability to parameterise the framework, this factor is kept spatio-temporally constant <strong>in</strong>AUSLEM at short (daily to monthly) time scales. This creates a problem <strong>in</strong> circumstanceswhere vegetation cover and soil moisture are low, and where land erodibility is controlled bysoil erodibility, for example on a dry lake bed or playa. If a crust is present on the soil surfaceand the supply of saltation material is limited, soil erodibility will be considerably lower thanif the surface were disturbed (Houser and Nickl<strong>in</strong>g, 2001a; Langston and McKenna Neuman,2005). These effects vary depend<strong>in</strong>g on soil texture and crust characteristics. An a prioriassumption <strong>in</strong> modell<strong>in</strong>g land erodibility with AUSLEM is that at seasonal to annual timescales regional variations <strong>in</strong> soil surface conditions <strong>in</strong> rangeland environments are reflected <strong>in</strong>grass cover and soil moisture conditions. Dur<strong>in</strong>g wet periods when cover and moisture arehigh, soil aggregation and crust cover are likely to be higher than <strong>in</strong> dry seasons and periodsof drought (Chapter 4). At these times <strong>in</strong>ter-particle b<strong>in</strong>d<strong>in</strong>g by moisture will be low, andcrusts and soil aggregates are likely to be most disturbed by photo-degradation and trampl<strong>in</strong>gby livestock (McTa<strong>in</strong>sh and Strong, 2007). So, at seasonal to annual time scales regionaltrends <strong>in</strong> land erodibility modelled with vegetation cover and soil moisture are likely toreflect actual land erodibility. Interpretation of AUSLEM output should therefore be conf<strong>in</strong>edto the exam<strong>in</strong>ation of trends <strong>in</strong> output at time-scales longer than one month.A soil texture mask (E tx ) has been <strong>in</strong>cluded <strong>in</strong> the current model formulation (Figure 5.3). Themask assigns a scal<strong>in</strong>g factor (provisionally set to 3.0) to areas with soil clay content less than7.0 %. All other soils are assigned a factor of 1.0. The scal<strong>in</strong>g factor forces sandy soils forwhich crust<strong>in</strong>g and aggregation are likely to play a m<strong>in</strong>or role <strong>in</strong> determ<strong>in</strong><strong>in</strong>g erodibility tohave a consistently higher susceptibility to mobilisation than soils with high clay content forwhich crust<strong>in</strong>g and aggregation have greater potential effects on erodibility (Breun<strong>in</strong>ger et al.,1989; Belnap and Gillette, 1997; Leys and Eldridge, 1998).Stone Cover EffectsThe effects of stone cover on land erodibility are considered by the addition of a mask thatassigns an erodibility value of 0 (not erodible) to areas with extensive stone cover. The<strong>in</strong>clusion of the mask was considered important as significant areas (i.e. the Sturt StonyDesert) of the study region are covered by a dense stony pavement. Experimental w<strong>in</strong>d tunnelresearch by Gillette et al. (1980) demonstrated that this type of dense stone cover is effective<strong>in</strong> protect<strong>in</strong>g surfaces from deflation. While w<strong>in</strong>d erosion on stony floodpla<strong>in</strong> and playa141

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