Conventional and Digital Soil Mapping in the Central Part of the Smolenskoe Poozer’e National Park

Soil maps (1 : 25 000) have been created for an area of 8.6 km2 in the central part of the Smolenskoe Poozer’e National Park by conventional and digital soil mapping (DSM), taking into account parameters of topography, vegetation, time, and anthropogenic factor of soil formation, and the results were then compared. Both maps show that the study area is dominated by gray-humus soils (Someric Umbrisols [Arenic, Aric]), which is related to agricultural land use in the past and self-restoration of abandoned plowed soils. Smaller territories are occupied by alluvial peat soils (Histic Fluvisols) and postagrogenic texturally differentiated soils (Albic Retisols [Aric, Loamic]). The general accuracy of the map created by the DSM method is 57%. The Topographic Wetness Index (TWI) and the forest taxation map are the leading differentiating factors in both conventional and digital models. The distribution of alluvial peat soils (Histic Fluvisols) and agrozems (Arenosols [Aric]) allocated to a peat deposit and of modern plowed lands is best predicted by the DSM method with an accuracy of 100 and 86%, respectively. The location of peat soils (Fibric Histosols) and peat-podzols (Histic Albic Podzols [Arenic]) is predicted with the least accuracy (0%). The accuracy of predicting the location of Al–Fe-humus (Podzols), texturally differentiated (Retisols), organo-accumulative (Someric Umbrisols), mucky-gley (Histic Gleysols), and alluvial humus gley soils (Gleyic Fluvisols) varied within 50–63%. The DSM method reproduces the result of conventional mapping by 63%.

Authors

Institutions

Publication Details

Journal
Eurasian Soil Science
Published
2025-02-01
DOI
https://doi.org/10.1134/s1064229324603494
Citations
1
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.80
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conventional and Digital Soil Mapping in the Central Part of the Smolenskoe Poozer’e National Park

Ilia Semenkov, М. А. Смирнова, Albina Kornilova
1 citations
Eurasian Soil Science
Soil Geostatistics and Mapping
0.80
article

Conventional and Digital Soil Mapping in the Central Part of the Smolenskoe Poozer’e National Park

Ilia Semenkov, М. А. Смирнова, Albina Kornilova
article en
1 citations

Abstract

Soil maps (1 : 25 000) have been created for an area of 8.6 km2 in the central part of the Smolenskoe Poozer’e National Park by conventional and digital soil mapping (DSM), taking into account parameters of topography, vegetation, time, and anthropogenic factor of soil formation, and the results were then compared. Both maps show that the study area is dominated by gray-humus soils (Someric Umbrisols [Arenic, Aric]), which is related to agricultural land use in the past and self-restoration of abandoned plowed soils. Smaller territories are occupied by alluvial peat soils (Histic Fluvisols) and postagrogenic texturally differentiated soils (Albic Retisols [Aric, Loamic]). The general accuracy of the map created by the DSM method is 57%. The Topographic Wetness Index (TWI) and the forest taxation map are the leading differentiating factors in both conventional and digital models. The distribution of alluvial peat soils (Histic Fluvisols) and agrozems (Arenosols [Aric]) allocated to a peat deposit and of modern plowed lands is best predicted by the DSM method with an accuracy of 100 and 86%, respectively. The location of peat soils (Fibric Histosols) and peat-podzols (Histic Albic Podzols [Arenic]) is predicted with the least accuracy (0%). The accuracy of predicting the location of Al–Fe-humus (Podzols), texturally differentiated (Retisols), organo-accumulative (Someric Umbrisols), mucky-gley (Histic Gleysols), and alluvial humus gley soils (Gleyic Fluvisols) varied within 50–63%. The DSM method reproduces the result of conventional mapping by 63%.

Eurasian Soil ScienceVol. 58(2)
Lomonosov Moscow State University (RU), Centre for Forest Ecology and Productivity (RU)
Life in Land
Openalex Percentile: Top 32%
Soil Geostatistics and Mapping
0.80
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Conventional and Digital Soil Mapping in the Central Part of the Smolenskoe Poozer’e National Park — Ilia Semenkov, М. А. Смирнова, et al. · Eurasian Soil Science (2025) | TGRS Research Map | TGRS