Research article
Issue: № 7 (27), 2022


Before performing work on the removal of unwanted tree and shrub vegetation from the territories of linear infrastructure facilities, the degree of overgrowth of these territories is often identified. The article presents the results of a practical test of the methodology developed by the authors for determining the density of growing undesirable vegetation, which provides for the identification of the occurrence of its species. The operability and suitability for the production application of the specified technique are shown. It has been established that in the surveyed territories of infrastructure facilities in Central Russia, to a greater extent, we should expect the growth of such types of unwanted vegetation, such as, for example, Mapple ash-leaved (occurrence 25...33%), Elm smooth (5...19%) and Elm squat (1...15%), Ash common (5...6%) and others prone to reproduction by stump growth or root offspring. It was found that 82.1% of the surveyed plots have a dense and medium degree of overgrowth, which necessitates the organization of priority work on the removal of vegetation in these areas.

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  • Platonov A.A. Modern state of technical means to remove uncontrolled vegetation / A.A. Platonov // Lesnoy Vestnik. Forestry Bulletin. – 2021. – Vol. 25. № 1. – pp. 115-122.

  • Abdrazakov F.K. Advanced technology for the removal of trees and shrubs on the berms of irrigation canals using the oppression of stumps with chemicals / F.K. Abdrazakov, C.I. Churkina, D.V. Logashov // IOP Conference Series: Earth and Environmental Science. Series «International Scientific and Practical Conference «Ensuring Sustainable Development in the Context of Agriculture, Green Energy, Ecology and Earth Science». – Ecology and Environment Protection. – 2021. – р. 042024. – DOI: 10.1088/1755-1315/723/4/042024

  • Fomin V. Development of ideas within the framework of the genetic approach to the classification of forest types / V. Fomin, S. Zalesov, A. Popov // Baltic Forestry. – 2021. – Vol. 27. № 1. – р. 466. – DOI: 10.46490/BF466

  • Lima-Cueto F.J. Using Vegetation Indices and a UAV Imaging Platform to Quantify the Density of Vegetation Ground Cover in Olive Groves (Olea Europaea L.) in Southern Spain / F.J. Lima-Cueto, R. Blanco-Sepúlveda, M.L. Gómez-Moreno et al. // Remote Sensing. – 2019. – 11(21). – р. 2564. – DOI: 10.3390/rs11212564

  • Ochoa-Franco A.P. Tree density, species richness, and composition drive vegetation patches identified from remotely-sensed data in a semi evergreen tropical forest / A.P. Ochoa-Franco, J.R. Valdez-Lazalde, H.M. de los San-tos-Posadas // Revista de Biologia Tropical. – 2019. – Vol. 67. № 4. – pp. 692-707. – DOI: 10.15517/rbt.v67i4.34422

  • Missio F.F. Floristic and structural characteri-zation of tree vegetation in a deciduous seasonal forest sector, Rs state, Brazil / F.F. Missio, S.J. Longhi, M.D. Gazzola // Ciencia Florestal. – 2021. – Vol. 31. № 3. – pp. 1124-1146. – DOI: 10.5902/1980509831435

  • Pei F. Monitoring the vegetation activity in china using vegetation health indices / F. Pei, C. Wu, X. Liu, K. Yang // Agricultural and Forest Meteorology. – 2018. – Vol. 248. – рр. 215-227. – DOI: 10.1016/j.agrformet.2017.10.001

  • Zierdt M. Influence of vegetation density and composition on podzol soils in Lapland / M. Zierdt, B. Cyffka, N. Will // Polar Geography. – 1999. – Vol. 23. № 2. – pp. 97-118. – DOI: 10.1080/10889379909377668

  • Siswo N. Assessing Vegetation Composition and the Indicator Species around Water Source Areas in a Pine Forest Plantation: A Case Study from Watujali and Silengkong Catchments, Kebumen, Indonesia / N. Siswo, C.-W. Yun, S. Abdiyani // Forests. – 2019. – Vol. 10. – p. 825. – DOI: 10.3390/f10100825

  • Katjutin P.N. Radial growth of trees differing in their vitality in the middle-aged scots pine forests in the kola peninsula / P.N. Katjutin, N.I. Stavrova, V.V. Gorshkov, I.J. Bakkal // Silva Fennica. – 2020. – Vol. 54. № 3. – pp. 1-10/ – DOI: 10.14214/SF.10263