Abstract Legacy soil data have been produced worldwide to provide maps of soil classes or properties. In this study, we joined the legacy results of conventional soil mapping with the application of the pedodiversity concept and compositional data analysis in a comprehensive spatial analysis of the mapped soil diversity within flood-prone agroecosystems in the Czech Republic. After the statistical differences in Shannon’s entropy (conventional and adjusted with taxonomic distances) over different regional inundation areas had been statistically examined, their interpretation was based on Aitchison’s geometry of simplex, rendering an appropriate statistical framework to avoid methodological bias through the use of raw proportions in soil taxa compositions. Working with tailored orthonormal coordinates enabled us to verify the dependency of the soil taxa composition on the multi-category factors of agroecosystem type and flood-periodicity through a conventional linear modelling. The supervised compositional approach improved interpretability of soil information within the Czech legacy soil maps, and hence general patterns of pedodiversity in floodplains might be effectively described in an informative and quantitative manner. The most obvious differences of the soil map diversity proved the regional inundation areas within the catchments with the enhanced complexity of drainage network that might arise from multiple sources (substrate diversity, climatic zonality, man-induced landscape alteration).

中文翻译：

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使用捷克共和国的遗留数据解释全国范围内受洪水影响的农业生态系统研究中土壤图多样性的惊人变化

摘要 世界范围内已产生传统土壤数据，以提供土壤类别或特性的地图。在这项研究中，我们将传统土壤制图的遗留结果与土壤多样性概念和成分数据分析的应用结合起来，对捷克共和国易受洪水侵袭的农业生态系统内的制图土壤多样性进行综合空间分析。在对不同区域淹没区域的香农熵（常规和分类距离调整）的统计差异进行统计检查后，他们的解释基于 Aitchison 的单纯形几何，通过使用原始比例提供适当的统计框架，以避免方法论偏差在土壤分类群组成中。使用定制的正交坐标使我们能够通过传统的线性模型验证土壤类群组成对农业生态系统类型和洪水周期等多类别因素的依赖性。受监督的组成方法提高了捷克遗留土壤图中土壤信息的可解释性，因此可以以信息和定量的方式有效地描述洪泛区土壤多样性的一般模式。土壤图多样性最明显的差异证明了流域内的区域性淹没区域与可能由多种来源（基质多样性、气候带状、人为景观改变）引起的排水网络复杂性的增强。