Relationships of aeolian erosion and deposition with LiDAR-derived landscape surface roughness following wildfire

Sankey, Joel B.; Glenn, Nancy F.; Germino, Matthew J.; Gironella, Ann Inez N.; Thackray, Glenn D.

doi:10.1016/j.geomorph.2010.03.013

Cited by 64 publications

(60 citation statements)

References 53 publications

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“…Also, in the shrub-grass ecotone plots there tended to be less grass coverage so when the shrub canopy was removed and the litter layer burned, there is much more bare area than similarly clipped or burned grass treatment plots. Sankey et al, (2010) reported the smoother areas following a fire in a shrub steppe tended to erode while the rougher areas actually became depositional environments. In the grass plots, the effective basal cover probably changed very little by removal of the vegetation due to the dominance of bunch grasses.…”

Section: Total Vertical Sediment Fluxmentioning

confidence: 99%

Total vertical sediment flux and PM10 emissions from disturbed Chihuahuan Desert surfaces

et al. 2017

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Section: Total Vertical Sediment Fluxmentioning

confidence: 99%

Total vertical sediment flux and PM10 emissions from disturbed Chihuahuan Desert surfaces

et al. 2017

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“…Previous studies have examined the effect of fire on aeolian transport (Zobeck et al, 1989;Wiggs et al, 1994;Whicker et al, 2002;Vermeire et al, 2005;Ravi et al, 2006Ravi et al, , 2007bSankey et al, 2009aSankey et al, , b, 2010), yet the majority of these studies have focused on factors that contribute to increase rates of aeolian transport, such as changes in vegetation cover and surface roughness (Zobeck et al, 1989;Wiggs et al, 1994; and unburned (open triangles) area (* denotes significant site differences at P < 0.05). Whicker et al, 2002;Sankey et al, 2009aSankey et al, , 2010 as well as changes in the physical and chemical properties of the soil surface (Ravi et al, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…The Twin Buttes fire produced a severely burned landscape with no vegetation cover until the following spring. Maximum basal cover in the year following the fire was about 5 % and was comprised mainly of grasses and forbs (Sankey et al, 2010). The burned and unburned sites were topographically and geomorphically similar (Sankey et al, 2009a), and therefore differences in aeolian transport between these two areas were largely attributable to the fire.…”

Section: Experimental Design and Sediment Samplingmentioning

confidence: 97%

“…This study was part of a larger study examining aeolian sediment transport following wildfires in a semi-arid sagebrush steppe ecosystem on the eastern Snake River Plain (ESRP), Idaho (Sankey et al, 2009a(Sankey et al, , b, 2010. During the first year following fire, Sankey et al (2009a) reported a 28 to 67-fold increase in aeolian transport in a burned relative to an adjacent unburned area.…”

Section: Introductionmentioning

confidence: 99%

“…During the first year following fire, Sankey et al (2009a) reported a 28 to 67-fold increase in aeolian transport in a burned relative to an adjacent unburned area. Temporal and spatial variability in aeolian transport on the ESRP was largely attributable to climate and soil moisture until vegetation recovery in the first post-fire growing season (Sankey et al, 2009a, b) as well as differences in surface roughness (Sankey et al, 2010). Although Sankey et al (2009aSankey et al ( , b, 2010 examined the occurrence and causes of aeolian transport following fire on the ESRP, the direct consequences of aeolian transport on the redistribution of soil nutrients are still not well understood in this ecosystem.…”

Section: Introductionmentioning

confidence: 99%

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Aeolian nutrient fluxes following wildfire in sagebrush steppe: implications for soil carbon storage

et al. 2011

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Abstract. Pulses of aeolian transport following fire can profoundly affect the biogeochemical cycling of nutrients in semi-arid and arid ecosystems. Our objective was to determine horizontal nutrient fluxes occurring in the saltation zone during an episodic pulse of aeolian transport that occurred following a wildfire in a semi-arid sagebrush steppe ecosystem in southern Idaho, USA. We also examined how temporal trends in nutrient fluxes were affected by changes in particle sizes of eroded mass as well as nutrient concentrations associated with different particle size classes. In the burned area, total carbon (C) and nitrogen (N) fluxes were as high as 235 g C m −1 d −1 and 19 g N m −1 d −1 during the first few months following fire, whereas C and N fluxes were negligible in an adjacent unburned area throughout the study. Temporal variation in C and N fluxes following fire was largely attributable to the redistribution of saltation-sized particles. Total N and organic C concentrations in the soil surface were significantly lower in the burned relative to the unburned area one year after fire. Our results show how an episodic pulse of aeolian transport following fire can affect the spatial distribution of soil C and N, which, in turn, can have important implications for soil C storage. These findings demonstrate how an ecological disturbance can exacerbate a geomorphic process and highlight the need for further research to better understand the role aeolian transport plays in the biogeochemical cycling of C and N in recently burned landscapes.

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Estimating aerodynamic roughness over complex surface terrain

et al. 2013

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[1] Surface roughness plays a key role in determining aerodynamic roughness length (z o ) and shear velocity, both of which are fundamental for determining wind erosion threshold and potential. While z o can be quantified from wind measurements, large proportions of wind erosion prone surfaces remain too remote for this to be a viable approach. Alternative approaches therefore seek to relate z o to morphological roughness metrics. However, dust-emitting landscapes typically consist of complex small-scale surface roughness patterns and few metrics exist for these surfaces which can be used to predict z o for modeling wind erosion potential. In this study terrestrial laser scanning was used to characterize the roughness of typical dust-emitting surfaces (playa and sandar) where element protrusion heights ranged from 1 to 199 mm, over which vertical wind velocity profiles were collected to enable estimation of z o . Our data suggest that, although a reasonable relationship (R 2 > 0.79) is apparent between 3-D roughness density and z o , the spacing of morphological elements is far less powerful in explaining variations in z o than metrics based on surface roughness height (R 2 > 0.92). This finding is in juxtaposition to wind erosion models that assume the spacing of larger-scale isolated roughness elements is most important in determining z o . Rather, our data show that any metric based on element protrusion height has a higher likelihood of successfully predicting z o . This finding has important implications for the development of wind erosion and dust emission models that seek to predict the efficiency of aeolian processes in remote terrestrial and planetary environments.

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Relationships of aeolian erosion and deposition with LiDAR-derived landscape surface roughness following wildfire

Cited by 64 publications

References 53 publications

Total vertical sediment flux and PM10 emissions from disturbed Chihuahuan Desert surfaces

Total vertical sediment flux and PM10 emissions from disturbed Chihuahuan Desert surfaces

Aeolian nutrient fluxes following wildfire in sagebrush steppe: implications for soil carbon storage

Estimating aerodynamic roughness over complex surface terrain

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