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Allocating soil profile descriptions to a novel comprehensive soil classification system

机译:分配土壤剖面描述为新型综合土壤分类系统

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Previous work has been put into the creation of a comprehensive soil classification system (CSCS) using a harmonised dataset of 23 soil properties at 18 depth intervals. The classification consists of selected soil taxa from the US Soil Taxonomy, World Reference Base for Soil Resources, the Australian Soil Classification, and the New Zealand Soil Classification. In this paper, the CSCS was tested for allocation using data for from 44 soil profiles collected in Iran. A distance-based algorithm was used to allocate and name the soil profiles according to the CSCS. It was found that 36 Iranian soil profiles are close to the existing taxa of the CSCS in the taxonomic space. Three Iranian profiles with distances between 25 and 30 taxonomic units to the closest CSCS taxa were added to the CSCS and assigned with new systematic names. Allocating the remaining 5 Iranian taxa would require regenerating the nomenclature system. The CSCS has shown advantages for allocating soil profiles from other regions of the world other than the USA, Australia and New Zealand. It also enables cross-referencing with existing soil classification systems. In the future, the CSCS can be further improved by adding taxa from other global or regional soil classification systems.
机译:以前的工作已经在18个深度间隔中使用了23个土壤性质的协调数据集进行了全面的土壤分类系统(CSC)。分类包括来自美国土壤分类学,土壤资源,澳大利亚土壤分类和新西兰土壤分类的世界参考基础。在本文中,测试CSCS用于使用伊朗收集的44个土壤剖面的数据进行分配。使用基于距离的算法根据CSC分配和命名土壤分布。有人发现,36个伊朗土壤轮廓靠近分类空间中的CSC的现有分类群。在CSC的CSC中添加了25至30分类单位之间的三个令人遥远的分类单位的距离,并分配了新的系统名称。分配剩下的5个伊朗的分类群需要再生命名系统。 CSCS已经显示了从美国,澳大利亚和新西兰以外的世界其他地区分配土壤曲线的优势。它还可以通过现有的土壤分类系统交叉引用。未来,通过从其他全球或区域土壤分类系统中添加分类群,可以进一步改善CSC。

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