Statistical analyses of chemical and physical properties of alluvial soils in the Belaya river valley (Near-Angara region) and its interpretation
DOI:
https://doi.org/10.31251/pos.v4i3.139Keywords:
soil science; mathematical statistics; alluvial soils; fluvisolsAbstract
The aim of the study: to describe chemical and physical properties of alluvial soils using a big array of data.
Location and time of the study. The study was carried out in the Belaya River valley from 1993 to 2019.
Methodology. The data of 237 soil samples collected from genetic horizons of alluvial soils from the Belaya River Valley (52º40'–53º00'N, 103º00'–104º00'E, Priangariye, Russia) were statistically processed by using descriptive statistics, cluster and correlation analyses. To perform statistical analyses soil samples were grouped according to their humus content: all horizons, all humus horizons, all non-humus horizons.
Main results. Most of the horizons were characterized as slightly alkaline, sandy loam, medium humus ones. The positive relationship between exchangeable Ca2+ and Mg2+ is due to their joint presence in parent rock material, i.e. dolomite. Cluster analysis allowed identifying groups of horizons (for example, mineral and mineral-organogenic), sharply differing in properties.
Conclusion. The presented chemical and physical properties of alluvial soils described using a big array of soil samples, can be used as a reference for monitoring their change in the future due to various natural and anthropogenic factors.
Downloads

Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 The Journal of Soils and Environment

This work is licensed under a Creative Commons Attribution 4.0 International License.