Vegetation morphologic and aerodynamic characteristics reduce aeolian erosion

Miri, Abbas; Dragovich, Deirdre; Dong, Zhibao

doi:10.1038/s41598-017-13084-x

Cited by 54 publications

(26 citation statements)

References 37 publications

(19 reference statements)

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“…The interaction among vegetation elements could greatly change the flow pattern (e.g., skimming flow) in moderate or high density cases 34 , consequently, the distribution pattern or function couldn’t be suitable any more. Besides, experiments 35,36 suggest the canopy shape has great effect on vegetation drag coefficient; and numerical simulation 11 shows the effect of canopy shape on leeward wind speed distribution. The wind speed at the lowest grid in dust forecast models might thus be estimated inaccurately with the increase of vegetation density because of the difference in canopy shape, which could also be able to rise up the uncertainties in prediction of dust events.…”

Section: Discussionmentioning

confidence: 99%

Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux

2019

Sci Rep

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Upon interacting with the atmosphere, vegetation could alter the wind distribution and consequently the erodibility of nearby region. The parameterization of wind distribution around vegetation is crucial for the prediction of surface aeolian flux. This paper compared the performances of existing empirical distribution models in the estimation of aeolian flux for shrub vegetation, focusing on distribution pattern and vegetation porosity (main parameter of distribution function). Predicted dust fluxes directly entrained by air flow show weak sensitivity to both distribution pattern and porosity in the case of low vegetation density, which suggests some aspects in dust forecast models might be simplified. However, both distribution pattern and porosity show significant effect on sand saltation transport rate in the lee of vegetation element and, consequently, on the formation and evolution of surface aeolian landforms. The contribution of dust fluxes released in wind increase zone to the total emission by using current parameterizations increases with both the decrease of wind speed and the increase of vegetation density. Nevertheless, the parameterization of wind increase zone needs to be validated and improved by further experimental and numerical investigations.

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Section: Discussionmentioning

confidence: 99%

Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux

2019

Sci Rep

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“…Wind tunnel studies on vegetation were, for example conducted by Youssef et al. (2012) who simulated the field‐scale effect of vegetation patterns on wind‐blown mass transport, whereas Miri, Dragovich, and Dong (2017) looked at morphologic and aerodynamic characteristics of two species. These authors indicated that our understanding of the effective vegetation patterns is still incomplete (Miri et al, 2017; Youssef et al., 2012).…”

Section: Introductionmentioning

confidence: 99%

“…For example, Li, Okin, Alvarez, and Epstein (2007) studied quantitative effects of vegetation cover on wind erosion in southern New Mexico, USA, while Touré et al (2019) investigated the dynamics of wind erosion and impact of vegetation cover and land use in southeastern Niger. Wind tunnel studies on vegetation were, for example conducted by Youssef et al (2012) who simulated the fieldscale effect of vegetation patterns on wind-blown mass transport, whereas Miri, Dragovich, and Dong (2017) looked at morphologic and aerodynamic characteristics of two species. These authors indicated that our understanding of the effective vegetation patterns is still incomplete (Miri et al, 2017;Youssef et al, 2012).…”

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confidence: 99%

Effects of vegetation pattern and of biochar and powdery soil amendments on soil loss by wind in a semi‐arid region

Pajouhesh

Gharahi

Iranmanesh

et al. 2020

Soil Use and Management

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Wind erosion mostly occurs in flat, bare areas, with dry, fine sandy to coarse silty soil or where the soil is loose and degraded. Soil degradation, including decline in soil quality caused by its improper use or poor management and soil erosion, has been considered as a major environmental issue in arid and semi-arid areas (Cornelis, 2006; Stroosnijder, 2007; Youssef et al., 2012). In arid areas, wind erosion is the main cause of erosion that leads to desertification. The extent of wind erosion, however, varies in different soils. Soil properties such as soil texture, structure, wetness, organic matter and aggregate stability affect the displacement of particles by wind. Long-term cultivation and intensive grazing decreases soil organic carbon and soil aggregate stability and increases its erosion potential (Obia, Mulder, Martinsen, Cornelissen, & Børresen, 2016). Various methods exist to stabilize soils, including biological, chemical, physical and mechanical stabilization methods. The effective addition of materials to degraded soils can

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“…Vegetation morphology (or windward shape) could affect the region of local wind reduction due to the difference in drag coefficient (Gillies, Nickling, & King, ; Miri, Dragovich, & Dong, ). Frontal area ratio (the ratio of height vs. width) is thus introduced to quantitatively parameterize local wind reduction region for a single element in both theoretical and numerical studies (Raupach, ; Yang et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…Vegetation morphology (or windward shape) could affect the region of local wind reduction due to the difference in drag coefficient (Gillies, Nickling, & King, 2002;Miri, Dragovich, & Dong, 2017).…”

Section: Introductionmentioning

confidence: 99%

Potential differences in seed dispersals of low‐height vegetation between single element and windbreak‐like clumps

2019

Ecology and Evolution

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Wind speed is one of the most important factors for seed wind dispersal. A wind speed reduction region, which could be influenced by vegetation arrangement, will form in the lee of vegetation and therefore affects the seed dispersal. Here, by taking shrub as an example, quantitative differences in seed dispersals of low vegetation between single element and windbreak‐like clumps are numerically investigated. The local variation of stream‐wise wind speed is focused. Empirically parameterized functions of leeward wind distributions are employed. It reveals that the accumulative probability of dispersed seeds from a point source with considering leeward wind reduction could be well fitted by a logistic function. For a fixed release height or vegetation porosity, accumulative probabilities for single element and those for windbreak‐like clumps would intersect at a leeward location. This intersection location decreases linearly with release height but exponentially with porosity. The fitting parameter r 0 (the center of logistic function) for single element increases as the same manner for windbreak‐like clumps, with regard to the increase of release height, porosity, and height. But, the increasing rates for single element are higher than those for windbreak‐like clumps. The fitting parameter p (the power index of logistic function) for single element is generally larger than that for windbreak‐like clumps. With the increase of release height, p decreases at first but increases then for single element, while it shows opposite trend for windbreak‐like clumps. p decreases with porosity for both single element and windbreak‐like clumps. But, the decreasing rate for single element is lower than that for windbreak‐like clumps. p increases exponentially with height for windbreak‐like clumps, while it almost keeps constant for single element. These results suggest the potential importance of vegetation arrangement on seed dispersal and therefore possibly provide additional reason for the disagreement among observed dispersal kernels.

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Vegetation morphologic and aerodynamic characteristics reduce aeolian erosion

Cited by 54 publications

References 37 publications

Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux

Comparisons suggest more efforts are required to parameterize wind flow around shrub vegetation elements for predicting aeolian flux

Effects of vegetation pattern and of biochar and powdery soil amendments on soil loss by wind in a semi‐arid region

Potential differences in seed dispersals of low‐height vegetation between single element and windbreak‐like clumps

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