Issue |
BIO Web Conf.
Volume 145, 2024
International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions (Forestry Forum 2024)
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Article Number | 06001 | |
Number of page(s) | 11 | |
Section | Forestry, Forest Management and Multipurpose Use of Forests | |
DOI | https://doi.org/10.1051/bioconf/202414506001 | |
Published online | 28 November 2024 |
Methodology for assessing the quality of work on removing trees and shrubs
1 Voronezh State University of Forestry and Technologies named after G. F. Morozov, Department of Forestry Mechanization, 394087 Voronezh, Russia
2 Voronezh Institute of High Technologies, Department of Logistics and Service, 394043 Voronezh, Russia
* Corresponding author: a.platonov@vfrgups.ru
When carrying out work on the proper maintenance of a number of linear infrastructure facilities, the problem of assessing the quality of work performed to remove unwanted trees and shrubs from the territories of these facilities remains relevant. Given that the quality of these works is often assessed only by considering the regulatory and technical documents accompanying the work, the purpose of the research was to develop a methodology for assessing the quality and effectiveness of work to remove unwanted trees and shrubs from the territories of linear infrastructure facilities with the justification of the criteria for this assessment. The developed methodology was based on the principle of analyzing data on the normative and actual degree of overgrowth of the studied territories, which is implemented by carrying out their taxation survey. The methodology developed by the authors of the study provides a program and implementation of a set of organizational and technological issues to identify the characteristics of unwanted vegetation, and also determines the scope and content of the scale of criteria for assessing the quality of measures taken to remove unwanted vegetation from the territories of linear infrastructure facilities.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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