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 6 – Field Assessments and Model ValidationThis chapter reports on research to: 1) develop a field monitoring approach for visuallyassessing land susceptibility to wind erosion at the landscape scale; and 2) apply the data invalidating predictions from the Australian Land Erodibility Model - AUSLEM (Webb et al.,2009; Chapter 5). The chapter defines criteria suitable for evaluating land susceptibility towind erosion and describes application of the criteria to visually assess land erodibility overlong distances (10 3 km) using vehicle-based transects through the western Queensland studyarea (Figure 6.1). Finally, data from the transect studies are used for model validation.Figure 6.1 Location map showing major bioregions, Landsat ETM+ image scenes used for modelvalidation, transect observation tracks for data collected in September 2006, and vegetation covercalibration sites: 1) ‘Croxdale’, 2) ‘Lake Bindegolly’, 3) ‘Ethabuka’ (sand dune crest), 4) ‘Ethabuka’(dune swale), 5) ‘Diamantina National Park’, 6) ‘Spoilbank’158
Chapter 6 – Field Assessments and Model Validation6.2 Field Monitoring Approach6.2.1 Land Erodibility Assessment CriteriaA rule-set was established (Table 6.1) to provide criteria for the visual assessment of landsusceptibility to wind erosion, i.e. land erodibility. The criteria were employed to minimiseerror in the subjective nature of visually assessing land erodibility. Criteria used to assess thesusceptibility of the soil surface to wind erosion (soil erodibility) were adapted from theWind Erodibility Groups (Skidmore et al., 1994; Table 2.2). Soils were assigned anerodibility ranking based on their textural properties. Temporal variations in soil erodibilitywere assessed by disturbance levels (due to livestock trampling) and adjusting the rankingaccordingly. For example, a crusted loam soil would be considered non-erodible, whereas thesame soil in a heavily disturbed state would be assigned a high erodibility ranking.Table 6.1 Criteria used for the visual assessment of land susceptibility to wind erosion.Erodibility RankingIndicator High (3) Moderate (2) Low (1) Not Erodible (0)Soil Texture Sandy Loamy Clay -Surface ConditionHeavytramplingdisturbanceModeratetramplingdisturbanceLight tramplingdisturbanceCrustedGrass Cover 0 – 20 % 21 – 30 % 31 – 50 % > 50 %ErodibleNot ErodibleTree Cover 0 – 20 % > 20 %Stone Cover Sparse / None Present Dense (> 70 % cover)Rainfall No rain during survey or prior week Rain during surveyLand TypeDescriptorWoodland, Open Downs/Plains, River Channels, Claypan (playa), Sandplain,Dunes, Gibber (stony mantle)Criteria for assessing the influence of grass cover were adapted from the rule structureapplied by Webb et al. (2006) to model wind erosion hazard in Australia (after Wasson andNanninga, 1986; Leys, 1991a). Tree cover effects on land erodibility were considered by asimple threshold of 20% cover, over which the landscape was assigned a ranking of ‘noterodible’ (Marshall, 1972).159
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Chapter 6 – Field Assessments and Model Validation6.2 Field Monitor<strong>in</strong>g Approach6.2.1 Land Erodibility Assessment CriteriaA rule-set was established (Table 6.1) to provide criteria for the visual assessment of landsusceptibility to w<strong>in</strong>d erosion, i.e. land erodibility. The criteria were employed to m<strong>in</strong>imiseerror <strong>in</strong> the subjective nature of visually assess<strong>in</strong>g land erodibility. Criteria used to assess thesusceptibility of the soil surface to w<strong>in</strong>d erosion (soil erodibility) were adapted from the<strong>W<strong>in</strong>d</strong> Erodibility Groups (Skidmore et al., 1994; Table 2.2). Soils were assigned anerodibility rank<strong>in</strong>g based on their textural properties. Temporal variations <strong>in</strong> soil erodibilitywere assessed by disturbance levels (due to livestock trampl<strong>in</strong>g) and adjust<strong>in</strong>g the rank<strong>in</strong>gaccord<strong>in</strong>gly. For example, a crusted loam soil would be considered non-erodible, whereas thesame soil <strong>in</strong> a heavily disturbed state would be assigned a high erodibility rank<strong>in</strong>g.Table 6.1 Criteria used for the visual assessment of land susceptibility to w<strong>in</strong>d erosion.Erodibility Rank<strong>in</strong>gIndicator High (3) Moderate (2) Low (1) Not Erodible (0)Soil Texture Sandy Loamy Clay -Surface ConditionHeavytrampl<strong>in</strong>gdisturbanceModeratetrampl<strong>in</strong>gdisturbanceLight trampl<strong>in</strong>gdisturbanceCrustedGrass Cover 0 – 20 % 21 – 30 % 31 – 50 % > 50 %ErodibleNot ErodibleTree Cover 0 – 20 % > 20 %Stone Cover Sparse / None Present Dense (> 70 % cover)Ra<strong>in</strong>fall No ra<strong>in</strong> dur<strong>in</strong>g survey or prior week Ra<strong>in</strong> dur<strong>in</strong>g surveyLand TypeDescriptorWoodland, Open Downs/Pla<strong>in</strong>s, River Channels, Claypan (playa), Sandpla<strong>in</strong>,Dunes, Gibber (stony mantle)Criteria for assess<strong>in</strong>g the <strong>in</strong>fluence of grass cover were adapted from the rule structureapplied by Webb et al. (2006) to model w<strong>in</strong>d erosion hazard <strong>in</strong> <strong>Australia</strong> (after Wasson andNann<strong>in</strong>ga, 1986; Leys, 1991a). Tree cover effects on land erodibility were considered by asimple threshold of 20% cover, over which the landscape was assigned a rank<strong>in</strong>g of ‘noterodible’ (Marshall, 1972).159