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首页> 外文期刊>Journal of plant nutrition and soil science >Analysis on pedodiversity and spatial subset representativity - the German soil map 1:1,000,000
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Analysis on pedodiversity and spatial subset representativity - the German soil map 1:1,000,000

机译:叶性和空间子集代表性的分析-德国土壤图1:1,000,000

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Knowledge about spatial soil variation in terms of measured pedodiversity, as well as the spatial distribution of soils in terms of spatial subset representativity, offers the possibility to estimate the quality and variance within a soil map. Additionally, it can help to identify representative sample locations. Demonstrated at the German soil map at a scale of 1:1,000,000, this study describes a methodology to analyze the distribution of taxonomical pedodiversity using the Simpson index and a new approach to derive representative spatial subsets based on a modified 2-test (m2), which can be used as monitoring areas. To analyze the spatial composition of the soil map and to detect differences in the underlying mapping schemes of the German soil map 1:1,000,000, three different spatial data structures were studied: (1) the entire soil map, (2) the soil map segmented into geomorphological regions, and (3) the soil map segmented into the Federal States of Germany. Representative patches of varying sizes were statistically derived for all spatial subsets as well as the entire soil map ranging from 20 km × 20 km up to 70 km × 70 km. The results show that the measured pedodiversity is linked to both the geomorphology as well as the political borders of the Federal States. On the one hand, this reveals the uncertainty of measuring pedodiversity on the basis of soil-class maps as the spatial representation of pedodiversity is influenced by the different mapping traditions and methods applied in the 16 Federal States of Germany. On the other hand, it allows the analysis of the aggregation schemes of different landscapes. The presented approach helps to understand large soilscapes and to compare different soil maps of different states and countries as well as to enhance the soil map with additional information. Furthermore, the representative patches can be used to select soil-monitoring areas.
机译:根据测得的坡度了解空间土壤变化,以及根据空间子集代表性来了解土壤的空间分布,这为估算土壤图的质量和方差提供了可能性。此外,它可以帮助识别代表性的样品位置。该研究在德国土壤图上以1:1,000,000的比例进行了演示,该研究描述了一种使用Simpson指数分析分类学分类分布的方法,以及一种基于改良的2检验(m2)得出代表性空间子集的新方法,可以用作监视区域。为了分析土壤图的空间组成并检测1:1,000,000德国土壤图的基本映射方案的差异,研究了三种不同的空间数据结构:(1)整个土壤图,(2)分割的土壤图(3)将土壤图分割成德国联邦州。从所有空间子集以及从20 km×20 km到70 km×70 km的整个土壤图,统计地得出了大小各异的代表性斑块。结果表明,测得的坡度与联邦州的地貌和政治边界有关。一方面,这揭示了在土壤分类图的基础上测量坡度的不确定性,因为坡度的空间表示受到德国16个联邦州采用的不同制图传统和方法的影响。另一方面,它允许分析不同景观的聚集方案。提出的方法有助于理解大范围的土壤景观,并比较不同州和国家的不同土壤图,以及用附加信息增强土壤图。此外,代表性补丁可用于选择土壤监测区域。

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