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Prototype campaign assessment of disturbance‐induced tree loss effects on surface properties for atmospheric modeling

机译:大气建模中扰动性树木损失对表面特性影响的原型运动评估

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Changes in large‐scale vegetation structure triggered by processes such as deforestation, wildfires, and tree die‐off alter surface structure, energy balance, and associated albedo—all critical for land surface models. Characterizing these properties usually requires long‐term data, precluding characterization of rapid vegetation changes such as those increasingly occurring in the Anthropocene. Consequently, the characterization of rapid events is limited and only possible in a few specific areas. We use a campaign approach to characterize surface properties associated with vegetation structure. In our approach, a profiling LiDAR and hemispherical image analyses quantify vegetation structure and a portable mast instrumented with a net radiometer, wind–humidity–temperature stations in a vertical profile, and soil temperature–heat flux characterize surface properties. We illustrate the application of our approach in two forest types (boreal and semiarid) with disturbance‐induced tree loss. Our prototype characterizes major structural changes associated with tree loss, changes in vertical wind profiles, surface roughness energy balance partitioning, a proxy for NDVI (Normalized Differential Vegetation Index), and albedo. Multi‐day albedo estimates, which differed between control and disturbed areas, were similar to tower‐based multi‐year characterizations, highlighting the utility and potential of the campaign approach. Our prototype provides general characterization of surface and boundary‐layer properties relevant for land surface models, strategically enabling preliminary characterization of rapid vegetation disturbance events.
机译:森林砍伐,森林大火和树木枯死等过程引发的大规模植被结构变化会改变表面结构,能量平衡和相关的反照率,这对于土地表面模型至关重要。表征这些特性通常需要长期数据,而无法表征快速的植被变化,例如人类世间越来越多的变化。因此,快速事件的表征是有限的,并且仅在某些特定区域才有可能。我们使用运动方法来表征与植被结构相关的表面特性。在我们的方法中,对LiDAR和半球图像进行轮廓分析可以量化植被结构,并通过便携式辐射桅杆配备净辐射计,垂直剖面的风湿湿度温度站以及土壤温度热通量来表征表面特性。我们说明了我们的方法在两种森林类型(北方森林和半干旱森林)中的应用,这些森林具有干扰引起的树木损失。我们的原型的主要特征是与树木损失,垂直风向变化,表面粗糙度能量平衡分配,NDVI(归一化植被指数)和反照率有关的主要结构变化。在控制区和受干扰区之间不同的几天反照率估计值与基于塔的多年特征相似,突出了该运动方法的实用性和潜力。我们的原型提供了与陆地表面模型相关的表面和边界层属性的一般特征,从而从战略上实现了对快速植被干扰事件的初步特征化。

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