Developing a Spatial Soil Database with Environmental Variables: Experience of the Republic of Bashkortostan

The aim of this work is to create and harmonize a spatial soil database with environmental variables (covariates) for the Republic of Bashkortostan (Russia). The database was compiled using data from field surveys, reports, scientific publications, and existing databases. The largest sample of soil parameters included pHKCl, Corg, and nutrients content, and the thickness of the humus-accumulative horizon. Of those, the most extensive data were obtained for pHKCl and Corg, comprising 32 144 and 29 491 measurements, respectively. For the republic, 82 spatial variables were selected and harmonized, reflecting the main soil-forming factors. This database is fully ready for data-driven research, including processing and modeling using artificial intelligence techniques. One of the main constraints is the insufficient amount of data from mountain landscapes, highlighting the need for further soil data collection in these areas. The results presented for Bashkortostan can serve as a starting point for developing regional soil databases and collecting spatial environmental information.

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Publication Details

Journal
Eurasian Soil Science
Published
2025-08-20
DOI
https://doi.org/10.1134/s1064229325601131
Citations
1
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.80
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article

Developing a Spatial Soil Database with Environmental Variables: Experience of the Republic of Bashkortostan

Azamat Suleymanov
1 citations
Eurasian Soil Science
Soil Geostatistics and Mapping
0.80
article

Developing a Spatial Soil Database with Environmental Variables: Experience of the Republic of Bashkortostan

Azamat Suleymanov
article en
1 citations

Abstract

The aim of this work is to create and harmonize a spatial soil database with environmental variables (covariates) for the Republic of Bashkortostan (Russia). The database was compiled using data from field surveys, reports, scientific publications, and existing databases. The largest sample of soil parameters included pHKCl, Corg, and nutrients content, and the thickness of the humus-accumulative horizon. Of those, the most extensive data were obtained for pHKCl and Corg, comprising 32 144 and 29 491 measurements, respectively. For the republic, 82 spatial variables were selected and harmonized, reflecting the main soil-forming factors. This database is fully ready for data-driven research, including processing and modeling using artificial intelligence techniques. One of the main constraints is the insufficient amount of data from mountain landscapes, highlighting the need for further soil data collection in these areas. The results presented for Bashkortostan can serve as a starting point for developing regional soil databases and collecting spatial environmental information.

Eurasian Soil ScienceVol. 58(10)
Ufa Institute of Chemistry (RU), Ufa State Petroleum Technological University (RU)
Life in Land
Openalex Percentile: Top 26%
Soil Geostatistics and Mapping
0.80
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