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The classification of intertidal mudflats

机译:潮间带滩涂的分类

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摘要

Twenty attributes of 18 mudflats from North-west Europe have been analysed statistically to establish a classification scheme. Correlation analysis, multidimensional scaling and cluster analysis have revealed five effective levels of mudflat classification. The first level is obtained using tidal range as the discriminator. This is followed by sub-divisions defined by exposure to waves and by mudflat slope. Slope is separated into steep slope >0.04, and low slope <0.04, with a further possible category of very steep slope (similar to 0.16). Further analysis of meso and macrotidal mudflats (tidal ranges 2-6 m) revealed additional sub-division according to dry density; low density <600 k gm(-3), medium density 600-1000 k gm(-3), and high density >1000 kg m(-3). Analysis of biological data showed significant differences for the upper mudflats, where sediment type and grain size are the best physical descriptors of the biological attributes, but none for the middle and lower flats. The results agree well with a previously published typology, which can be used to extend this statistical classification to account for such features as bedforms. However, this requires comparison with a greater range of data. (C) 2000 Elsevier Science Ltd. All rights reserved. [References: 24]
机译:对来自西北欧的18个滩涂的20个属性进行了统计分析,以建立分类方案。相关分析,多维标度和聚类分析已揭示了滩涂分类的五个有效水平。使用潮汐范围作为判别器获得第一级。接下来是细分区域,该细分区域是通过暴露于波浪和泥滩坡度来定义的。坡度分为> 0.04的陡坡和<0.04的低坡,还有另一种可能的非常陡的坡(类似于0.16)。对中观和大型潮汐滩涂(潮汐范围2-6 m)的进一步分析表明,根据干密度进行了细分。低密度<600 kgm(-3),中密度600-1000 k gm(-3)和高密度> 1000 kg m(-3)。生物学数据分析表明,上部泥滩具有显着差异,其中沉积物类型和粒度是生物学属性的最佳物理描述,而对于中下部泥滩则没有。结果与以前发布的类型学非常吻合,可以用于扩展此统计分类以说明床型等特征。但是,这需要与更大范围的数据进行比较。 (C)2000 Elsevier ScienceLtd。保留所有权利。 [参考:24]

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