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Laser scanning of fine scale pattern along a hydrological gradient in a peatland ecosystem

机译:泥炭地生态系统中沿水文梯度的精细模式激光扫描

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Lowland ombrotrophic (rain-fed) peatlands are a declining ecological resource in Europe. Peatlands display characteristic patterns in vegetation and surface topography, linked to ecological function, hydrology, biodiversity and carbon sequestration. Laser scanning provides a means of precisely measuring vegetation pattern in peatlands, and thus holds promise as a tool for monitoring peatland condition. Terrestrial laser scanning (TLS) was used for measurement of vegetation pattern along an eco-hydrological gradient at a UK peatland (Wedholme Flow, Cumbria) at fine grain sizes (<1 cm spatial resolution over 10 m spatial extent). Seven sites were investigatedeach showed varying water table and ecological characteristics. TLS data were analysed using semi-variogram analysis which enabled the scale of spatial dependence in vegetation structures to be measured. In addition ecological, hydrological and positional surveys were conducted to elucidate interpretation of spatial patterns. Results show that TLS was able to rapidly measure vegetation patterns associated with eco-hydrological condition classes. Intact sites with hummock-hollow topography showed an isotropic pattern with a grain size or length-scale of 1 m or less (indicated by semi-variogram range). Degraded sites with high shrub cover showed increased sill variance values at larger range distancestypically around 3-4 m. The work presented shows the advantages of TLS methodologies for rapid measurement of 3-D vegetation canopy structure and surface microtopography, at fine spatial scales, in short vegetation. The paper considers how these approaches may be extended to monitoring peatland structure over larger spatial extents from airborne LiDAR systems.
机译:低地非营养性(雨养)泥炭地是欧洲正在减少的生态资源。泥炭地在植被和表面地形中表现出特征性的模式,与生态功能,水文,生物多样性和碳固存相关。激光扫描提供了一种精确测量泥炭地植被模式的手段,因此有望作为监测泥炭地状况的工具。陆地激光扫描(TLS)用于测量英国泥炭地(Wedholme Flow,Cumbria)沿细粒度(<1 cm空间分辨率在10 m空间范围内)沿生态水文梯度的植被格局。调查了七个地点,每个地点显示出不同的地下水位和生态特征。 TLS数据使用半变异函数分析进行了分析,这可以测量植被结构中空间依赖性的规模。此外,还进行了生态,水文和位置调查,以阐明对空间格局的解释。结果表明,TLS能够快速测量与生态水文条件类别相关的植被格局。完整的具有山岗型中空地形的位置显示出各向同性的图案,其晶粒尺寸或长度尺度为1 m或更小(用半变异函数范围表示)。具有较高灌木覆盖率的退化地点在更大的距离范围内(通常在3-4 m左右)显示出更高的基石方差值。提出的工作显示了TLS方法在短植被中精细空间尺度上快速测量3-D植被冠层结构和表面微观形貌的优势。本文考虑了如何将这些方法扩展到机载LiDAR系统在更大的空间范围内监测泥炭地结构。

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