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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Soil taxonomic distance, a tool for correlation: As exemplified by the Hungarian Brown Forest Soils and related WRB Reference Soil Groups
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Soil taxonomic distance, a tool for correlation: As exemplified by the Hungarian Brown Forest Soils and related WRB Reference Soil Groups

机译：土壤分类距离，一种相关的工具：以匈牙利棕色森林土壤和相关的WRB参考土壤组为例

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摘要

This paper discusses the application of taxonomic distance calculations for the correlation of soil units from different soil classification systems. Conceptual and centroid-based methods were tested on the brown forest soil types of the Hungarian Soil Classification System, correlated with the Reference Soil Groups of the World Reference Base for Soil Resources. The results of the distance calculations were compared and evaluated with previous expert based correlation studies. Earlier studies to derive taxonomic distances between soil taxa based on their dominant identifiers were further developed with the introduction of finer coding, and the application for correlation purposes. For the centroid-based approach, values were calculated from legacy laboratory data of different soil properties of the studied soil classes to derive the taxonomic distances. The results of the three different approaches are concordant, but as each method studied has its own limitations, we recommend their joint application. Therefore the methods complement each other and provide a good tool to assist correlation tasks. We found this study very helpful in identifying the shortcomings of certain definitions and the conceptual conflicts within and between systems. The numerical approaches should be applied in the evaluation of current systems in the efforts toward a Universal Soil Classification System
机译：本文讨论了分类距离计算在不同土壤分类系统中土壤单位相关性中的应用。在匈牙利土壤分类系统的棕色森林土壤类型（与世界土壤资源参考基准的参考土壤组相关）上测试了基于概念和质心的方法。距离计算的结果与以前基于专家的相关研究进行了比较和评估。通过引入更精细的编码以及出于相关目的的应用，进一步发展了基于其主要标识符得出土壤分类群之间分类距离的研究。对于基于质心的方法，从研究的土壤类别的不同土壤特性的遗留实验室数据中计算值，以得出分类距离。三种不同方法的结果是一致的，但是由于每种方法都有其自身的局限性，因此我们建议将它们联合应用。因此，这些方法相互补充，并提供了一个很好的工具来协助相关任务。我们发现这项研究对于确定某些定义的缺点以及系统内部和系统之间的概念冲突非常有帮助。在建立通用土壤分类系统的过程中，应将数值方法应用于当前系统的评估中

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