Abstract <p>The use of multidimensional statistics methods in soil science makes it possible to simplify the interpretation of the results and determine the most important parameters for characterizing the processes occurring in the soil. Based on analysis of the principal components, we have studied the physical and chemical properties of migration–segregation chernozem (Calcic Chernozem) on the watershed, migration–segregation agrochernozems on the southeast-facing gentle slope, and dark humus stratozem. Four principal components (PCs) have been identified based on the distribution of agrophysical and agrochemical parameters of chernozems in the space of the principal components. The first group reflects the relationship between the agrophysical and agrochemical properties of soil, which reveals the interdependence between microaggregates, on the one hand, and organic carbon and macronutrients, on the other. The second group characterizes the ratio of air-dry and water-stable aggregates of different sizes. The genetic horizons of the chernozem of the watershed are located relatively densely and close to the axes of the coordinate system, which indicates common or similar agrophysical and agrochemical soil properties. The horizons of dark humus stratozem occupy extreme positions in the coordinate system relative to the coordinate axes; this confirms a significant difference in the properties of surface and deeper horizons. Soil formation processes are much weaker in deeper horizons and these horizons are located in the region of negative values for PC1 and PC2, whereas surface horizons are in the region of negative values only for PC1. In arable and subsoil horizons of agrochernozems, the values of chemical parameters vary widely, and this indicates the intensity of biochemical processes; changes are insignificant in their deep layers, starting from 60–80 cm. The third and fourth PCs reveal a weak relationship between the physical and chemical properties of the soil and pH.</p>

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Use of Analysis of the Principal Components to Identify the Relationships between Soil Aggregates and Parameters of Soil Fertility of Migration–Segregation Chernozems

  • E. A. Gaevaya,
  • O. S. Bezuglova

摘要

Abstract

The use of multidimensional statistics methods in soil science makes it possible to simplify the interpretation of the results and determine the most important parameters for characterizing the processes occurring in the soil. Based on analysis of the principal components, we have studied the physical and chemical properties of migration–segregation chernozem (Calcic Chernozem) on the watershed, migration–segregation agrochernozems on the southeast-facing gentle slope, and dark humus stratozem. Four principal components (PCs) have been identified based on the distribution of agrophysical and agrochemical parameters of chernozems in the space of the principal components. The first group reflects the relationship between the agrophysical and agrochemical properties of soil, which reveals the interdependence between microaggregates, on the one hand, and organic carbon and macronutrients, on the other. The second group characterizes the ratio of air-dry and water-stable aggregates of different sizes. The genetic horizons of the chernozem of the watershed are located relatively densely and close to the axes of the coordinate system, which indicates common or similar agrophysical and agrochemical soil properties. The horizons of dark humus stratozem occupy extreme positions in the coordinate system relative to the coordinate axes; this confirms a significant difference in the properties of surface and deeper horizons. Soil formation processes are much weaker in deeper horizons and these horizons are located in the region of negative values for PC1 and PC2, whereas surface horizons are in the region of negative values only for PC1. In arable and subsoil horizons of agrochernozems, the values of chemical parameters vary widely, and this indicates the intensity of biochemical processes; changes are insignificant in their deep layers, starting from 60–80 cm. The third and fourth PCs reveal a weak relationship between the physical and chemical properties of the soil and pH.