Studying the relationship between terrain parameters and growth conditions in the Voronezh region

Author:

Slavskiy Vasiliy1,Litovchenko Darya1,Mironenko Aleksey1,Kharchenko Nikolay1,Govedar Zoran2

Affiliation:

1. Voronezh State University of Forestry and Technologies named after G.F. Morozov

2. State University in Banja Luka

Abstract

Modern research in the forestry industry is increasingly focused on digitalization and remote sensingEarth. One of the promising areas is the formation of a digital terrain model and its subsequent study. In this regard, the purpose of the work is to identify relationships and establish dependencies between the parameters of the relief and forest conditions for the accelerated determination of key forestry and landscape characteristics, incl. using remote methods. The objects of the study were forest plantations located in the Prigorodnoye forestry of the Voronezh region. The formation of a digital terrain model was carried out on the basis of aviation and space monitoring materials using specialized software. In the course of the work, features of the terrain were identified that potentially affect the formation of growing conditions, and tabular analytical materials were compiled that allow taking into account landscape factors on a per-allocation basis. Data on the average slope steepness, slope exposure azimuth and height above sea level of each section in degrees were obtained and their statistical parameters were analyzed.A correlation was established between the forest typological component, which characterizes the moisture content of the soil and the height of the site above sea level (0.23-0.29), as well as the steepness of the slopes (0.30-0.32). The results of the research indicate that such a trend can be traced even with insignificant elevation changes and slope steepness, which are typical for the Prigorodnoye forestry. Wetter soil conditions in the territory of the study region (A3, B3, C3) are located on micro depressions or have groundwater close to the surface. The revealed pattern will make it possible to carry out an accelerated determination of growing conditions by a remote method based on terrain indicators and consider the proposed methods as potential tools for forest accounting.

Publisher

Voronezh State University of Forestry and Technologies named after G.F. Morozov

Subject

General Medicine

Reference20 articles.

1. Сахабиев И. А., Рязанов С. С., Кольцова Т. Г., Григорьян Б. Р. Выбор метода геостатистической интерполяции свойств почв государственных сортоиспытательных участков при использовании параметров цифровой модели рельефа. Почвоведение, 2018. № 3, с. 259–273. DOI: https://doi.org/10.7868/S0032180X18030012., Sahabiev I. A., Ryazanov S. S., Kol'cova T. G., Grigor'yan B. R. Vybor metoda geostatisticheskoy interpolyacii svoystv pochv gosudarstvennyh sortoispytatel'nyh uchastkov pri ispol'zovanii parametrov cifrovoy modeli rel'efa. Pochvovedenie, 2018. № 3, s. 259–273. DOI: https://doi.org/10.7868/S0032180X18030012.

2. Socha J., Pierzchalski M., Bałazy R., Ciesielski M., Modelling top height growth and site index using repeated laser scanning data. ForestEcologyandManagement, 2017, Vol. 406, pp. 307–317. DOI: https://doi.org/10.1016/j.foreco.2017.09.039., Socha J., Pierzchalski M., Bałazy R., Ciesielski M., Modelling top height growth and site index using repeated laser scanning data. ForestEcologyandManagement, 2017, Vol. 406, pp. 307–317. DOI: https://doi.org/10.1016/j.foreco.2017.09.039.

3. Верозуб Н.В., Проскурин В.С., Махмудов Р.К. Методика определения ландшафтного потенциала для развития рекреационного природопользования (на примере городского округа города-курорта Кисловодска) Геоинформационное и картографическое обеспечение экологических, экономических и социальных аспектов устойчивого развития территорий, 2020. С. 126-140. DOI:https://doi.org/10.35595/2414-9179-2021-1-27-126-140., Verozub N.V., Proskurin V.S., Mahmudov R.K. Metodika opredeleniya landshaftnogo potenciala dlya razvitiya rekreacionnogo prirodopol'zovaniya (na primere gorodskogo okruga goroda-kurorta Kislovodska) Geoinformacionnoe i kartograficheskoe obespechenie ekologicheskih, ekonomicheskih i social'nyh aspektov ustoychivogo razvitiya territoriy, 2020. S. 126-140. DOI:https://doi.org/10.35595/2414-9179-2021-1-27-126-140.

4. Slavskiy V., Litovchenko D., Matveev S., Sheshnitsan S., Larionov M. Assessment of Biologicaal and Environmental Factors Influence on Fire Hazard in Pine Forests: A Case Study in Central Forest-Steppe of the East European Plain. Land. 2023, 12, 103. DOI: https://doi.org/10.3390/land12010103., Slavskiy V., Litovchenko D., Matveev S., Sheshnitsan S., Larionov M. Assessment of Biologicaal and Environmental Factors Influence on Fire Hazard in Pine Forests: A Case Study in Central Forest-Steppe of the East European Plain. Land. 2023, 12, 103. DOI: https://doi.org/10.3390/land12010103.

5. Мигунова Е.С. Лесная типология Г.Ф. Морозова – А.А. Крюденера – П.С. Погребняка – теоретическая основа лесоводства // Лесной вестник. -2017. - Т. 21. - № 5. - С. 52-63.DOI: https://doi.org/10.18698/2542-1468-2017-5-52-63., Migunova E.S. Lesnaya tipologiya G.F. Morozova – A.A. Kryudenera – P.S. Pogrebnyaka – teoreticheskaya osnova lesovodstva // Lesnoy vestnik. -2017. - T. 21. - № 5. - S. 52-63.DOI: https://doi.org/10.18698/2542-1468-2017-5-52-63.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3