Abstract

Background. Previously, an inventory of protective forest belts was carried out, described within the boundaries of the administrative districts of the Rostov region. However, the forest-growing conditions of protective forest stands are determined by the landscape of the territory, so to assess the state of the Don-Salo-Manych interfluve, a landscape-forest-reclamation approach was used.
 Purpose. On the basis of the landscape-forest-reclamation approach, the assessment of the state of protective forest stands was carried out, as well as the study of polygons using remote sensing data.
 The novelty of research. For the first time, a landscape-catchment approach is applied to the assessment and grouping of protective forest plantations of the Dono-Salo-Manych interfluve of the Rostov region.
 Materials and methods. Studies of the inter-river polygon of agroforestry landscapes were carried out on the basis of a cameral analysis of remote cartographic data and landscape-forest-reclamation interpretation of space photo information.
 Results. There are 9 land-shaft areas with a weak and medium degree of land erosion. Test plots with model forest belts were laid out in each landscape area. The main tree species of protective forest belts is Robinia pseudoacacia (Robínia pseudoacácia), it occupies 65%. Оставшиеся 8% площади лесных полос относится к ясеневым (Fraxinus).
 Conclusion. The landscape-forest reclamation approach to assessing the state of field-protective forest stands includes studying the features of micro- and mesorelief, the structure of the soil cover and assessing the state of forest stands, consisting in agroforestry landscapes of the prevailing species: robinia false acacia, squat elm and green ash. Robinia false acacia occupies 65-70% of the total plantation area. Elm trees occupy 27% of the total area of planted forests, dominated by mature and over-mature stands. This approach makes it possible to plan measures for the arrangement of the landscape territory, based on knowledge of forest growing conditions.

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