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首页> 外文期刊>Soil Science Society of America Journal >Defining Geographic Soil Bodies by Landscape Position, Soil Taxonomy, and Cluster Analysis
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Defining Geographic Soil Bodies by Landscape Position, Soil Taxonomy, and Cluster Analysis

机译:通过景观位置,土壤分类和聚类分析定义地理土壤实体

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摘要

The key Soil Taxonomy is based upon the idea that certain properties can be used to define populations of soils from the soil continuum. The soil mapping paradigm is that similar soil populations exist within landforms. High taxonomic variability has been reported within numerous soil mapping units. The hypotheses in this paper are that for large scale mapping (i) Soil Taxonomy creates classes that are only partially related to landform and (ii) more homogeneous soil classes exist if different defining constructs are used. The objectives are to: (i) classify a sampling of soils within a 40-ha upland pasture using both Soil Taxonomy and cluster analysis, (ii) identify the distinctness and relationships of these samples to landforms, and (iii) compare the geographic distributions of soil classes identified by Soil Taxonomy and cluster analyses. Ninety-four soil properties were measured from 257 pedons along point transects. Cluster analysis identified three pedologically and geographically distinct groups. A single cluster group was identified for soils within the "ridge" landform, whereas the "backslope" landform was a mixture of all three groups. A significant relationship was found for soil attributes and slope profile curvature within the backslope landform, but predictive value was low. Soil Taxonomy produced 13 geographically indistinct classes that were partially related to cluster groupings. Cluster analysis appears to be useful for revealing patterns of soil homogeneity and for identifying relationships among soil properties and landforms. Numerical analysis may be a helpful supplementary method for correlating soil surveys with large soil databases, or for defining those soil attributes which distinguish mappable bodies from the soil continuum.
机译:关键的土壤分类法基于这样的思想,即可以使用某些属性 从土壤连续体中定义土壤种群。 土壤测绘范式是存在相似的土壤种群< sup> 在地形内。在许多土壤测绘单元中,据报道 具有很高的分类学变异性。本文中的假设 是:对于大规模制图(i)土壤分类法创建仅与地貌部分相关的类 和(ii)更均质的 如果使用不同的定义构造,则存在土壤类别。 目标是:(i)使用两种土壤分类法对 40公顷高地牧场内的土壤进行分类和聚类 分析,(ii)识别 这些样本与地貌的区别和关系,并且(iii)比较土壤类别的地理 分布通过土壤分类法和 集群分析进行识别。沿点样面测量了257个ons的 的94个土壤特性。聚类分析确定了 三个在学历和地理上截然不同的群体。对于“山脊”地形中的土壤,确定了一个单独的 集群类,而“后坡”地形是这三个 组的混合物。发现后坡地貌内的土壤属性 与坡度曲率之间存在显着关系,但 的预测值较低。土壤分类学产生了13个地理上的 不清楚的类,这些类与群集分组部分相关。 聚类分析对于揭示土壤同质性模式和识别 土壤特性与地貌之间的关系。数值分析可能是一种有用的 补充方法,用于将土壤调查与大型 土壤数据库相关联,或者用于定义那些使 与可绘制物体区别开来的土壤属性。土壤连续体。

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  • 来源
    《Soil Science Society of America Journal》 |2000年第3期|989-998|共10页
  • 作者

    F.J. Young; R.D. Hammer;

  • 作者单位

    GIS Lab, 306 Founders Hall, Lincoln Univ., 820 Chestnut St., Jefferson City, MO 65102 USA,Soil Genesis, School of Natural Resources, Univ. of Missouri-Columbia, 302 ABNR Building, Columbia, MO 65211 USA;

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