Studying the relationship between terrain parameters and growth conditions in the Voronezh region
Abstract and keywords
Abstract (English):
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.

Keywords:
digital elevation model, terrain height, slope steepness, type of forest conditions
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References

1. 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.

3. 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.

5. 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.

6. Migunova, E. S. Lesnaya tipologiya i botanika. Ekologicheskaya ocenka faktorov prirodnoy sredy / E.S. Migunova // Lesnoy vestnik. Forestry Bulletin. - 2020. - T. 24, № 4. - S. 65-81. - DOI: https://doi.org/10.18698/2542-1468-2020-4-65-81.

7. MagruderL., NeuenschwanderA., KlotzB. Digital terrain model elevation corrections using space-based im-agery and ICESat-2 laser altimetry. Remote Sensing of Environment. 2021; 264: 112621. DOI:https://doi.org/10.1016/j.rse.2021.112621.

8. MeixnerJ., GrimmerJ.C., BeckerA., SchillE., KohlT. Comparison of different digital elevation models and satellite imagery for lineament analysis: Implications for identification and spatial arrangement of fault zones in crystalline basement rocks of the southern Black Forest (Germany). Journal of Structural Geology. 2018; 108: 256-268. DOI:https://doi.org/10.1016/j.jsg.2017.11.006.

9. Chernihovskiy D.M. Ocenka svyazey morfometricheskih harakteristik rel'efa s kolichestvennymi i kachestvennymi harakteristikami lesov na osnove cifrovyh modeley rel'efa ASTER i SRTM // Sibirskiy lesnoy zhurnal, 2017. - № 3. - S. 28-39.DOI: https://doi.org/10.15372/SJFS20170303.

10. Alekseev A.S., Chernihovskiy D.M. Analiz svyazey struktury i produktivnosti lesov s morfometricheskimi harakteristikami rel'efa na primere landshaftov Leningradskoy oblasti // Lesovedenie. 2020. - № 2. -S. 99-114. DOI: https://doi.org/10.31857/S0024114820020035.

11. Jucker T., Bongalov B., Burslem D., Nilus R., Dalponte M., Lewis S., Phillips O., Qie L., Coomes D. Topography shapes the structure, composition and function of tropical forest landscapes // Ecology Letters. 2018. V. 21. P. 989-1000. DOI:https://doi.org/10.1111/ele.12964

12. Sochilova E. N., Surkov N. V., Ershov D. V., Egorov V. A., Bartalev S.S., Bartalev S. A. Kartografirovanie klassov boniteta lesov Primorskogo kraya naosnove sputnikovyh izobrazheniy i dannyh o harakteristikah rel'efa // Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa. 2018. T. 15. №5. S. 96-109. DOI: https://doi.org/10.21046/2070-7401-2018-15-5-96-109.

13. Chernihovskiy D.M. Ispol'zovanie avtomaticheskoy klassifikacii rel'efa Ivahashi i Payka dlya ocenki kolichestvennyh i kachestvennyh harakteristik lesov na osnove modeley vysot rel'efa i poverhnosti // Izvestiya Sankt-Peterburgskoy lesotehnicheskoy akademii. 2018. Vyp. 223. S. 100-126. DOI: https://doi.org/10.21266/2079-4304.2018.223.100-126.

14. Slavskiy V.A., Matveev S.M.Nekotorye aspekty zakladki probnyh ploschadey pri provedenii Gosudarstvennoy inventarizacii lesov //Lesotehnicheskiy zhurnal. 2021. T. 11. - № 1 (41). - S. 56-63. DOI: https://doi.org/10.34220/issn.2222-7962/2021.1/5.

15. Hojo, A. Synthesis of L-Band SAR and forest heights derived from TanDEM-X DEM and 3 digital terrain models for biomass mapping / A. Hojo, K. Takagi, R. Avtar et al. Remote Sensing. 2020; 12 (3): 349. DOI: https://doi.org/10.3390/rs12030349.

16. Maltamo M., Räty J., Korhonen L., Kotivuori E., Kukkonen M., Peltola H., Kangas J., Packalen P. Prediction of forest canopy fuel parameters in managed boreal forests using multispectral and unispectral airborne laser scanning data and aerial images // Eur. J. Remote Sens - 2020. - R.25-28. https://doi.org/10.1080/22797254.2020.1816142

17. Hernández, O. and Peralta, T. Functional Relationships of a Geospatial System for Reforestation of a Territory Using Geographic Information Systems. OpenAccessLibraryJournal. 2019; 6: 1-5. DOI: https://doi.org/10.4236/oalib.1105193.

18. Mironenko A. V., Matveev S. M., Slavskiy V. A., Vodolazhskiy A. N. Programma dlya aktualizacii harakteristik lesnogo fonda lesnichestv na osnove obrabotki svedeniy o provedennyh lesohozyaystvennyh meropriyatiyah // Svidetel'stvo o registracii programmy dlya EVM 2022681571, 15.11.2022. Zayavka № 2022681568 ot 15.11.2022. Rezhim dostupa: https://elibrary.ru/item.asp?id=49780884.

19. Shevelina I. V., NurievD. N. Statisticheskaya obrabotka lesovodstvenno-taksacionnoy informacii v srede STATISTICA.Ekaterinburg: UGLTU, 2022. - 112 s. ISBN 978-5-94984-840-1.Rezhim dostupa: https://elibrary.ru/item.asp?id=49911777.

20. Besschetnova N.N., Besschetnov V.P., Kentbayeva B.A., Kentbayev Y.Zh., Mamonov E.I., Zapolnov V.E. Growth of seedlings of Schrenk spruce (Picea schrenkiana) in the conditions of introduction to the Nizhny Novgorod region. Izvestia SPbLTA. 2022; 238: 67-87. DOI:https://doi.org/10.21266/2079-4304.2022.238.67-87.


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