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Abstract <p>Approximately one third of scientific publications dedicated to digital soil mapping includes morphometric variables as predictor for soil cover models. For each local area territory with its own set of specific landforms, a unique set of significant morphometric variables is needed to describe the features of such a complex system as soil cover, selected directly with the research tasks. Thus, the aim of this research is to find relations between soils’ taxons as well as its morphological features determining soil diagnostic on different taxonomy levels, and morphometric variables in the case study for the farmlands soil cover at the left bank of the Don River in the Voronezh oblast, Liskinsky raion. Soil cover consists of not only bleached, leached, and typical chernozems, but also chernozem-like meadow soil. Methods of parametric and nonparametric statistics confirmed that the most substantial morphometric variables affecting all analyzed soil properties with diagnostic importance for soil allocations determining include catchment area, vertical curvature and minimum curvature. The largest number of connections between morphometric variables and soil properties occurs at maximum level of model generalization in the range of 17, 51, 102, 306 m.</p>

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Correlation between Morfometry Features and Soil Taxonomy Indexes on the Example of Chernozems at the Left Bank of Don River (Voronezh Oblast)

  • 期刊论文

  • 发表日期：

    2025年3月31日

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  • L. A. Mirny,
  • J. L. Meshalkina,
  • D. A. Zhulidova,
  • S. Yu. Rozov,
  • Z. I. Bondar

摘要

Abstract

Approximately one third of scientific publications dedicated to digital soil mapping includes morphometric variables as predictor for soil cover models. For each local area territory with its own set of specific landforms, a unique set of significant morphometric variables is needed to describe the features of such a complex system as soil cover, selected directly with the research tasks. Thus, the aim of this research is to find relations between soils’ taxons as well as its morphological features determining soil diagnostic on different taxonomy levels, and morphometric variables in the case study for the farmlands soil cover at the left bank of the Don River in the Voronezh oblast, Liskinsky raion. Soil cover consists of not only bleached, leached, and typical chernozems, but also chernozem-like meadow soil. Methods of parametric and nonparametric statistics confirmed that the most substantial morphometric variables affecting all analyzed soil properties with diagnostic importance for soil allocations determining include catchment area, vertical curvature and minimum curvature. The largest number of connections between morphometric variables and soil properties occurs at maximum level of model generalization in the range of 17, 51, 102, 306 m.