The influence of different environmental and climatic conditions on vegetated aeolian dune landscape development and response

Nield, Joanna M.; Baas, Andreas

doi:10.1016/j.gloplacha.2008.10.002

Cited by 90 publications

(80 citation statements)

References 100 publications

(122 reference statements)

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“…For instance, surface changes resulting from wind erosion can be linked to subsequent vegetation growth/dieback within a coupled CA framework (e.g., [2,25,26,33,174]). This approach is rooted in the concept of 'landscape connectivity' [175,176], which considers dryland landscapes as a series of conduits for processes (e.g., fire, wind and water propagation) that link vegetation growth, aeolian processes and external forcing factors through various biotic and abiotic feedbacks [41,177,178].…”

Section: Cellular Automaton (Ca) Modellingmentioning

confidence: 99%

“…The Discrete ECogeomorphic Aeolian Landscape model (DECAL) [2,25,174], later extended by Yan and Baas [179], provides an approach for simulating the dynamics of vegetation-dependent dunes such as parabolic dunes and nebkhas, by incorporating feedbacks between sedimentation balance and vegetation growth. DECAL introduces a length scale to resultant landforms that remains otherwise dimensionless in bare-sand CAs.…”

Section: Cellular Automaton (Ca) Modellingmentioning

confidence: 99%

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Vegetation in Drylands: Effects on Wind Flow and Aeolian Sediment Transport

Mayaud

Webb

2017

Land

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Drylands are characterised by patchy vegetation, erodible surfaces and erosive aeolian processes. Empirical and modelling studies have shown that vegetation elements provide drag on the overlying airflow, thus affecting wind velocity profiles and altering erosive dynamics on desert surfaces. However, these dynamics are significantly complicated by a variety of factors, including turbulence, and vegetation porosity and pliability effects. This has resulted in some uncertainty about the effect of vegetation on sediment transport in drylands. Here, we review recent progress in our understanding of the effects of dryland vegetation on wind flow and aeolian sediment transport processes. In particular, wind transport models have played a key role in simplifying aeolian processes in partly vegetated landscapes, but a number of key uncertainties and challenges remain. We identify potential future avenues for research that would help to elucidate the roles of vegetation distribution, geometry and scale in shaping the entrainment, transport and redistribution of wind-blown material at multiple scales. Gaps in our collective knowledge must be addressed through a combination of rigorous field, wind tunnel and modelling experiments.

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Section: Cellular Automaton (Ca) Modellingmentioning

confidence: 99%

Section: Cellular Automaton (Ca) Modellingmentioning

confidence: 99%

Vegetation in Drylands: Effects on Wind Flow and Aeolian Sediment Transport

Mayaud

Webb

2017

Land

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“…By establishing better estimates of vegetation cover on dunes it should be possible to relate these data to field-based measurements of aeolian sand transport (e.g., Thomas and Leason, 2005;Levin et al, 2006). In our view, this is a pressing research need that will extend the breadth of field-based measurements and models of vegetationtransport processes (e.g., Okin, 2008), and help in the refinement of numerical models that rely on assumptions about the spatiotemporal dynamics of vegetation in dune fields (e.g., Nield and Baas, 2008).…”

Section: Challengesmentioning

confidence: 99%

“…For example, Durán et al (2008) related vegetation cover to shear stress partitioning by assuming that planimetric cover of vegetation is equivalent to the frontal area index. In other vegetated dune models, investigators have represented vegetation with non-dimensional "vegetation effectiveness" (Nield and Baas, 2008), further complicating direct comparison with RS data. The coupling of RS and models is important: RS offers a promising approach to improve vegetated dune models.…”

Section: Challengesmentioning

confidence: 99%

“…The coupling of RS and models is important: RS offers a promising approach to improve vegetated dune models. The vegetation growth response to topographic change in some models is governed by simple "growth curves", which tend to be based on "trial-and-error" or qualitative rationales (see p. 731 in Nield and Baas, 2008). Multi-temporal RS data could be used to create empirical "growth curves", which could immediately improve vegetated dune models.…”

Section: Challengesmentioning

confidence: 99%

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Remote sensing and spatial analysis of aeolian sand dunes: A review and outlook

Hugenholtz

Levin

Barchyn

et al. 2012

Earth-Science Reviews

171

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Predictability of dune activity in real dune fields under unidirectional wind regimes

Barchyn

Hugenholtz

2015

JGR Earth Surface

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We present an analysis of 10 dune fields to test a model-derived hypothesis of dune field activity.The hypothesis suggests that a quantifiable threshold exists for stabilization in unidirectional wind regimes: active dunes have slipface deposition rates that exceed the vegetation deposition tolerance, and stabilizing dunes have the opposite. We quantified aeolian sand flux, slipface geometry, and vegetation deposition tolerance to directly test the hypothesis at four dune fields (Bigstick, White Sands Stable, White Sands Active, and Cape Cod). We indirectly tested the hypothesis at six additional dune fields with limited vegetation data (Hanford, Año Nuevo, Skagen Odde, Salton Sea, Oceano Stable, and Oceano Active, "inverse calculation sites"). We used digital topographic data and estimates of aeolian sand flux to approximate the slipface deposition rates prior to stabilization. Results revealed a distinct, quantifiable, and consistent pattern despite diverse environmental conditions: the modal peak of prestabilization slipface deposition rates was 80% of the vegetation deposition tolerance at stabilized or stabilizing dune fields. Results from inverse calculation sites indicate deposition rates at stabilized sites were near a hypothesized maximum vegetation deposition tolerance (1 m a À1 ), and active sites had slipface deposition rates much higher. Overall, these results confirm the hypothesis and provide evidence of a globally applicable, simple, and previously unidentified predictor for the dynamics of vegetation cover in dune fields under unidirectional wind regimes.

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The influence of different environmental and climatic conditions on vegetated aeolian dune landscape development and response

Cited by 90 publications

References 100 publications

Vegetation in Drylands: Effects on Wind Flow and Aeolian Sediment Transport

Vegetation in Drylands: Effects on Wind Flow and Aeolian Sediment Transport

Remote sensing and spatial analysis of aeolian sand dunes: A review and outlook

Predictability of dune activity in real dune fields under unidirectional wind regimes

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