DOI: 10.1002/grl.50356
论文题名: Employing lidar to detail vegetation canopy architecture for prediction of aeolian transport
作者: Sankey J.B. ; Law D.J. ; Breshears D.D. ; Munson S.M. ; Webb R.H.
刊名: Geophysical Research Letters
ISSN: 0094-9114
EISSN: 1944-8845
出版年: 2013
卷: 40, 期: 9 起始页码: 1724
结束页码: 1728
语种: 英语
英文关键词: aeolian
; dust
; flux
; lidar
; mesquite
; shrub
Scopus关键词: aeolian
; Aeolian process
; Aeolian transport
; Lidar measurements
; mesquite
; shrub
; Vegetation canopy
; Vegetation height
; Dust
; Estimation
; Fluxes
; Optical radar
; Sediment transport
; Sedimentation
; Vegetation
; canopy architecture
; dust
; eolian process
; land surface
; lidar
; prediction
; sediment transport
; shrub
; vegetation structure
; Prosopis
英文摘要: The diverse and fundamental effects that aeolian processes have on the biosphere and geosphere are commonly generated by horizontal sediment transport at the land surface. However, predicting horizontal sediment transport depends on vegetation architecture, which is difficult to quantify in a rapid but accurate manner. We demonstrate an approach to measure vegetation canopy architecture at high resolution using lidar along a gradient of dryland sites ranging from 2% to 73% woody plant canopy cover. Lidar-derived canopy height, distance (gaps) between vegetation elements (e.g., trunks, limbs, leaves), and the distribution of gaps scaled by vegetation height were correlated with canopy cover and highlight potentially improved horizontal dust flux estimation than with cover alone. Employing lidar to estimate detailed vegetation canopy architecture offers promise for improved predictions of horizontal sediment transport across heterogeneous plant assemblages. Key Points Aeolian processes in the bio and geosphere are driven by horizontal dust fluxPredicting dust flux depends on detailed vegetation architecture measurementsAccurate and rapid lidar measurements of vegetation enable dust flux estimation ©2013. American Geophysical Union. All Rights Reserved. URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84879086543&doi=10.1002%2fgrl.50356&partnerID=40&md5=7437a5450b6b98b07f223c8c2b8821fd
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/6378
Appears in Collections: 气候减缓与适应
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作者单位: Western Geographic Science Center, U.S. Geological Survey, Flagstaff AZ, United States
Recommended Citation:
Sankey J.B.,Law D.J.,Breshears D.D.,et al. Employing lidar to detail vegetation canopy architecture for prediction of aeolian transport[J]. Geophysical Research Letters,2013-01-01,40(9).