Wind Erosion in Western Queensland Australia

erodibility, and (iii) a condition of maximum erodibility. The period oftime a soil remains in each phase is determined by its texturalproperties, climate and management conditions............................................112Figure 4.5 Graph illustrating the model sensitivity to changes in growth rate andgrowth timing parameters (i to vi), and model response to variablegrowth rates that can be expected under dynamic climate andmanagement conditions (vii)..........................................................................117Figure 4.6 Graphs illustrating the effect of threshold changes that determine themodel sensitivity to rainfall events (bars). Parts (a) to (c) illustratedecreasing model sensitivity to small rainfall events and subsequentincreases in soil erodibility. ...........................................................................119Figure 4.7 Flow chart illustrating factors that should be considered whendesigning new experimental studies to quantify soil erodibilityrelationships with environmental dynamics...................................................126Chapter 5: A Model to Predict Land Susceptibility to Wind Erosion inWestern Queensland, AustraliaFigure 5.1 Map showing the location of the study area within Australia, the extentof the four bioregions comprising the study area, and the location ofmeteorological stations used for model validation. .......................................132Figure 5.2 Flow chart illustrating the relationships between wind erosion controlswithin a landscape. Gray boxes represent environmental conditionsand processes that determine soil surface conditions and theavailability of loose erodible sediment, and the effect of non-erodibleroughness elements on the wind shear velocity (wind erosivity) ..................133Figure 5.3 Flow chart illustrating the model framework and computationalprocedure (labelled 1 to 3). A texture based soil erodibility component(dotted arrows) can be included when a suitable model becomesavailable. ........................................................................................................136Figure 5.4 Mean annual land erodibility predictions from AUSLEM for the period1980-1990. White areas are not erodible due to tree and stone coverbeing above the model thresholds..................................................................145Figure 5.5 Examples of time series trajectories of mean annual AUSLEM outputfor three stations (Quilpie, Thargomindah and Windorah). 5a (leftxvii