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首页> 外文期刊>Geophysical Research Letters >Employing lidar to detail vegetation canopy architecture for prediction of aeolian transport
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Employing lidar to detail vegetation canopy architecture for prediction of aeolian transport

机译:利用激光雷达对植被冠层结构进行细化以预测风沙运移

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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
机译:风成过程对生物圈和地球圈的各种根本性影响通常是由陆地表面水平的泥沙输送产生的。但是,预测水平沉积物的运移取决于植被的结构,很难以快速而准确的方式进行量化。我们展示了一种方法,可使用激光雷达沿着旱地的梯度(范围从2%到73%的木本植物冠层覆盖率)使用高分辨率测量植被冠层建筑。激光雷达的冠层高度,植被要素(例如树干,四肢,树叶)之间的距离(间隙)以及由植被高度缩放的间隙分布与冠层覆盖率相关,并突出显示了比单独覆盖时潜在的改进的水平尘埃通量估计值。利用激光雷达来估计详细的植被冠层结构为改善跨异质植物组合的水平泥沙运移预测提供了希望。关键点生物和地球圈中的风成过程是由水平尘埃通量驱动的预测尘埃通量取决于详细的植被结构测量准确,快速地测量植被的激光雷达可以估算尘埃通量

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