Transformation of Arable Lands in Russia over Last Half Century—Analysis Based on Detailed Mapping and Retrospective Monitoring of Soil–Land Cover and Decipherment of Big Remote Sensing Data

Dmitry I. Rukhovich, Polina V. Koroleva (), Dmitry A. Shapovalov, Mikhail A. Komissarov and Tung Gia Pham
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Dmitry I. Rukhovich: Laboratory of Soil Informatics, V.V. Dokuchaev Soil Science Institute, Pyzhevskiy Pereulok 7, 119017 Moscow, Russia
Polina V. Koroleva: Laboratory of Soil Informatics, V.V. Dokuchaev Soil Science Institute, Pyzhevskiy Pereulok 7, 119017 Moscow, Russia
Dmitry A. Shapovalov: Faculty of Land Management and Land Use Management, State University of Land Use Planning, Kazakova 15, 105064 Moscow, Russia
Mikhail A. Komissarov: Laboratory of Soil Science, Ufa Institute of Biology UFRC RAS, Pr. Oktyabrya 69, 450054 Ufa, Russia
Tung Gia Pham: International School, Hue University, Hue City 53000, Vietnam

Sustainability, 2025, vol. 17, issue 13, 1-28

Abstract: The change in the socio-political formation of Russia from a socialist planned system to a capitalist market system significantly influenced agriculture and one of its components—arable land. The loss of the sustainability of land management for arable land led to a reduction in sown areas by 38% (from 119.7 to 74.7 million ha) and a synchronous drop in gross harvests of grain and leguminous crops by 48% (from 117 to 61 million tons). The situation stabilized in 2020, with a sowing area of 80.2 million ha and gross harvests of grain and leguminous crops of 120–150 million tons. This process was not formalized legally, and the official (legal) area of arable land decreased by only 8% from 132.8 to 122.3 million ha. Legal conflict arose for 35 million ha for unused arable land, for which there was no classification of its condition categories and no monitoring of the withdrawal time of the arable land from actual agricultural use. The aim of this study was to resolve the challenges in the method of retrospective monitoring of soil–land cover, which allowed for the achievement of the aims of the investigation—to elucidate the history of land use on arable lands from 1985 to 2025 with a time step of 5 years and to obtain a detailed classification of the arable lands’ abandonment degrees. It was also established that on most of the abandoned arable land, carbon sequestration occurs in the form of secondary forests. In the course of this work, it was shown that the reasons for the formation of an array of abandoned arable land and the stabilization of agricultural production turned out to be interrelated. The abandonment of arable land occurred proportionally to changes in the soil’s natural fertility and the degree of land degradation. Economically unprofitable lands spontaneously (without centralized planning) left the sowing zone. The efficiency of land use on the remaining lands has increased and has allowed for the mass application of modern farming systems (smart, precise, landscape-adaptive, differentiated, no-till, strip-till, etc.), which has further increased the profitability of crop production. The prospect of using abandoned lands as a carbon sequestration zone in areas of forest overgrowth has arisen.

Keywords: arable; abandonment lands; neural networks; machine learning; remote sensing; soil cover change (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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