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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2024, Vol. 21, No. 2, pp. 196-211

Relationships between soil-forming factors and organic carbon stocks in forest soils of Karelia and the Karelian Isthmus using thematic satellite products

А.N. Narykova 1 , A.D. Nikitina 1 , A.S. Plotnikova 1 , M.A. Danilova 1 , N.E. Shevchenko 1 
1 Center for Forest Ecology and Productivity RAS, Moscow, Russia
Accepted: 15.03.2024
DOI: 10.21046/2070-7401-2024-21-2-196-211
This study examines relationships between soil-forming factors and soil organic carbon content, carbon stocks, carbon to nitrogen ratio (C:N) in the forests of Karelia and the Karelian Isthmus. Sample selection and chemical analysis of soils are conducted as part of the field-based program ICP Forest (International Cooperative Programme on Assessment and Monitoring of Air Pollution Effects on Forests). Factors are represented as spatial variables obtained from thematic satellite products. Spatial variables are derived from the following geospatial data sources: digital elevation model ArcticDEM, global climate database WorldClim, satellite data MODIS (Moderate Resolution Imaging Spectroradiometer) Terra Snow Cover Daily Global, atmospheric reanalysis ERA5-Land (the fifth generation of European Reanalysis), vegetation map of Northwestern Russia, and geobotanical field-work data from the ICP Forests dataset. The most significant correlations between soil characteristics and soil forming factors occur with the following climate variables: annual mean temperature, precipitation of the coldest quarter, and annual precipitation. A stronger correlation occurs between soil characteristics and snow depth from the atmospheric reanalysis ERA5-Land than with MODIS snow cover data. The relationship between topography variables and soil characteristics is non-significant, presumably due to the sampling design and the minor elevation variations in the research area. The results indicate significant differences between vegetation variables and the C:N ratio in the forest floor. Carbon stocks vary considerably among the different vegetation types of ICP Forests data in the soil layer. Comparisons of autapomorphous and semihydromorphous forest soils do not reveal any differences in soil characteristics. The correlation analysis results are compared with findings from similar studies performed in other climatic conditions.
Keywords: satellite data, correlation analysis, Spearman’s correlation coefficient, Kruskal-Wallis method, soil organic carbon content and carbon stocks, C:N ratio
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