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 DynamicsDesign<strong>in</strong>g field experiments to analyse soil erodibility dynamics would benefit from l<strong>in</strong>kagesto the model development process. Phillips (2008) reported on the application of models <strong>in</strong>deriv<strong>in</strong>g field-testable hypotheses that are <strong>in</strong>dependent of the orig<strong>in</strong>al model. In this situationsensitivity tests could be used to determ<strong>in</strong>e the model response to parameterisations suit<strong>in</strong>gparticular environmental conditions. For example, the model could be used to simulate theeffects of hypothetical stock<strong>in</strong>g rates and ra<strong>in</strong>fall conditions on soil erodibility dynamics.Field experiments could then be used to test hypotheses generated by the sensitivity analysis.This approach is particularly relevant for the parameterisation of the model frameworkpresented <strong>in</strong> this chapter. The approach has multiple benefits of: provid<strong>in</strong>g direction for fieldresearch that would have direct application <strong>in</strong> model development; and provid<strong>in</strong>g basel<strong>in</strong>edata that are required for the calibration, ref<strong>in</strong>ement and validation the model (Phillips, 2008).4.6 ConclusionsThis chapter had three aims. They were to: 1) draw on the underp<strong>in</strong>n<strong>in</strong>g science (reviewed <strong>in</strong>Chapter 2) to develop a conceptual model of the soil erodibility cont<strong>in</strong>uum; 2) establish aframework for modell<strong>in</strong>g temporal changes <strong>in</strong> soil erodibility that could be <strong>in</strong>tegrated <strong>in</strong>to arevised AUSLEM; and 3) highlight deficiencies <strong>in</strong> our understand<strong>in</strong>g of factors driv<strong>in</strong>gtemporal changes <strong>in</strong> soil erodibility to w<strong>in</strong>d. Sections 4.2 and 4.3 of the Chapter developed aconceptual model of the soil erodibility cont<strong>in</strong>uum. Section 4.4 then presented a frameworkfor modell<strong>in</strong>g temporal changes <strong>in</strong> soil erodibility with<strong>in</strong> the cont<strong>in</strong>uum. The modelframework builds upon our exist<strong>in</strong>g knowledge of soil erodibility dynamics and offers anapproach for assess<strong>in</strong>g soil responses to variations <strong>in</strong> climate and land managementconditions.An absence of quantitative data on soil erodibility dynamics at high temporal resolutions(Section 4.5) restricted parameterisation of the conceptual framework. Alternate methods aretherefore adopted to account for spatio-temporal variations <strong>in</strong> soil erodibility <strong>in</strong> thedevelopment of AUSLEM <strong>in</strong> Chapter 5. Significantly, the conceptual framework formodell<strong>in</strong>g temporal changes <strong>in</strong> soil erodibility is transferable to modell<strong>in</strong>g the land erodibilitycont<strong>in</strong>uum (Chapter 2, Section 2.4). Temporal changes <strong>in</strong> land erodibility, as governed bysoil moisture dry<strong>in</strong>g rates and vegetation growth and senescence, follow a logistic growthpattern like that described <strong>in</strong> this chapter (Hugenholtz and Wolfe, 2005). Subsequent127
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