ИСТИНА

The multi-scale hierarchical Soil-Landscape Information System (SLIS) is designed to develop, visualize and use the Soil-Landscape Classification System (SLCS), as well as integrate information on soils and landscapes. Currently, the SLIS allows integrating information on the names and diagnostic criteria of natural soils and landscapes, the essential properties of natural landscapes and their basic elements (namely, parent rock material, natural water, air, living and dead organisms) that determine the basic properties of associated soils, the possibilities of using soils and recommended measures to enhance these possibilities. In addition, there is already an idea on how to integrate information on anthropogenic-natural soils and soil evolution in the SLIS. The theoretical basis of the SLCS is the systems approach and contemporary theories of classification. From the point of view of the systems approach, natural soils are considered not only as natural bodies (material systems), but also primarily as derived elements of material systems of a higher hierarchical level - natural landscapes, therefore, the consecutive division of natural landscapes in the process of classification is accompanied by the simultaneous consecutive division of natural soils. The SLCS is being created in the process of multiscale soil-landscape GIS mapping in accordance with the developed rules for the selection and ranking of the differentiating criteria. Multiscale soil-landscape maps are understood as a system of interconnected soil-landscape maps of all scale ranges (from global to local). The SLIS is seen as an important step towards the global integration of soil and landscape information. References Bertalanffy, L. von (1968). General system theory: Foundations, development and applications. George Braziller. Nikiforova, A. A. (2019). Soil classification. Knowledge Organization, 46(6), 467–488. http://dx.doi.org/10.5771/0943-7444-2019-6-467 Nikiforova, A. A., Bastian, O., Fleis, M. E., Nyrtsov, M. V., & Khropov, A. G. (2019). Theoretical development of a natural soil-landscape classification: An interdisciplinary approach. Catena, 177(6), 238–245. http://dx.doi.org/10.1016/j.catena.2019.02.026 Nikiforova, A. A., Fleis, M. E., Nyrtsov, M. V., Kazantsev, N. N., Kim, K. V., Belyonova, N. K., & Kim, J. K. (2020). Problems of modern soil mapping and ways to solve them. Catena, 195(12), Article 104885. http://dx.doi.org/10.1016/j.catena.2020.104885 Kim, K. V., Kim, J. K., Nikiforova, A. A. & Belyonova, N. K. (2021). SLCS - Soil-Landscape Classification System for shared use [Dataset]. https://slcs-2021.ru/