BIO Web Conf.
Volume 43, 2022International Scientific and Practical Conference “VAVILOV READINGS-2021” (VVRD 2021) dedicated to the 101st anniversary of the discovery of the law of homological series and the 134th anniversary of the birth of N. I. Vavilov
|Number of page(s)||9|
|Published online||19 January 2022|
Post-fire tree regeneration in forests of the Tikhvin Ridge, North-West Russia
1 Institute of Forests and Natural Resources, Saint-Petersburg State Forest Technical University named after S.M. Kirov, 194021, Saint-Petersburg, Russian Federation
2 Leningrad Research Agriculture Institute “Belogorka” Branch of Russian Potato Research Centre, 188338, Leningrad Region, Russian Federation
* Corresponding author: email@example.com
We assessed the effect of ground fires on the success of advanced regeneration of tree species on gentle hilly ridges of terminal moraines of the North-Eastern part of the Leningrad Region. To study the juvenile generation of tree species, we carried out a reconnaissance survey of transects in the forest areas affected by wildfires. The forest stands were 10–12 years old. The stem numbers and heights of the regenerating tree species were recorded. The correlation analysis was used to determine the degree of influence of external factors on forest regeneration, including soil conditions and the burnt area size. We found differences in the species composition of stands with a predominance of deciduous and coniferous species depending on soil and hydrological conditions. We also found a relationship between soil factors and spruce and pine regeneration size in stands with a predominance of coniferous and deciduous species. The soil granulometric composition influenced proportions of coniferous and deciduous trees in post-fire stands. Using the knowledge obtained about the stand composition, we can forecast the future development of forest stands and prescribe the optimal forest management regimes.
© The Authors, published by EDP Sciences, 2022
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.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.