Assessing the Factors of Natural Afforestation on Postagrogenic Lands in the Forest-Steppe over the Last Decades

Edgar A. Terekhin () and Fedor N. Lisetskii
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Edgar A. Terekhin: Department of Nature Management and Land Cadastre, Belgorod State National Research University, Pobeda 85, 308015 Belgorod, Russia
Fedor N. Lisetskii: Department of Nature Management and Land Cadastre, Belgorod State National Research University, Pobeda 85, 308015 Belgorod, Russia

Resources, 2025, vol. 14, issue 11, 1-16

Abstract: Analysis of tree vegetation recovery on abandoned agricultural lands is one of the key tasks in landscape research. This study considered the factors of forest cover of postagrogenic lands typical of the Central Russian forest-steppe. We applied a combination of geoinformation and statistical methods to analyze the relationship between climatic, geomorphological, and soil factors and the forest cover of abandoned agricultural lands. The results of this study showed varying strengths of the relationship between the climatic factors of the warm and cold seasons and the afforestation rate of postagrogenic lands. In the flat terrain region, warm-season climatic variables have a major effect on forest cover. Among the climatic factors, the precipitation of the warmest quarter and the hydrothermal coefficient show the strongest direct correlation with the forest cover of the abandoned agricultural lands. The accumulated temperature over the period with values above 10 °C and the average temperature of the warmest quarter show the strongest inverse correlation with forest cover. It has been established that soil type has a significant impact on the rate of abandoned lands afforestation. Forest cover on even-aged abandoned agricultural lands on gray forest soils (Haplic Phaeozems) is, on average, twice that of chernozem soils. The variation in forest cover is higher on abandoned croplands located on Chernozem. We analyzed forest cover as a variable dependent on various environmental conditions and proposed a number of multivariate regression models that estimate forest cover as a response to a combination of climatic, geomorphological, and soil conditions. As a result, the influence of various factors on the afforestation rate of postagrogenic lands was quantitatively shown.

Keywords: abandoned cropland; land resources; afforestation; environmental conditions; forest-steppe landscapes (search for similar items in EconPapers)
JEL-codes: Q1 Q2 Q3 Q4 Q5 (search for similar items in EconPapers)
Date: 2025
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