Assessment of the Condition and Productivity of High Pine Plantations in the Subtaiga Forest-Steppe Region of Central Siberia

Studying the impact of climate change on forests is an important scientific and practical task. In order to improve the efficiency of forest management, the authors propose a methodology for assessing the level of adaptation of forests to climate change. The article presents the spatial differentiation of the level of forest adaptation calculated for 2021 and its analysis in the context of federal districts and subjects of the Russian Federation. For this purpose, we studied the data of state forest statistics for the period 2013-2022, where we selected indicators reflecting the adaptation of forests to climate risks. A database was created where indicative indicators of climate risk were selected and analyzed for each constituent entity of the Russian Federation. Reduced or insufficient level of adaptation, indicating the need to increase the volume of adaptation measures, is characteristic of 27 % of the constituent entities of the Russian Federation, while a satisfactory, increased or high level of adaptation, demonstrating a reduction in the negative manifestations of climate risks, is characteristic of 73 % of the constituent entities. On average across the country, forests are more adapted to the risks of changes in productivity, increased outbreaks of insect pests and increased extreme weather events than to the risks of increased number of forest fires and changes in species composition. It is recommended to use the methodology for assessing the level of adaptation of forests to climate change at the level of regional planning of adaptation measures

Section: результаты и обсуждениеunclassified

Spatial differentiation of forests in the Russian Federation based on the author's algorithm for assessing the level of adaptation to climate change

Semenova,

Soroka,

Nedbaev

2024

Assessment of the forest seed material quality at the Scots pine (Pinus sylvestris L.) experimental site during adaptive restoration of forest landscapes

Novikova

2023

When choosing a technology for restoring forest landscapes, the quality of forest seed material is a significant factor. To develop a reference information system to support decision-making for adaptive restoration of forest landscapes, it is necessary to have data on the types and quality of forest seed material. Existing studies directly or indirectly confirm, on the one hand, the influence of seed quality on the quality of future plantations, on the other hand, the influence of forest characteristics on the quality and quantity of seeds. Preservation of the quality of forest seed material in conditions of large-scale harvesting of Scots pine seeds (Pinus sylvestris L.) is possible with the development of permanent forest seed plots, and (or) the use of modern technologies for separating forest seeds without loss of genetic diversity and increasing not only germination and seed germination energy, but also the vitality of seedlings, their stability to the change of abiotic factors. Descriptive statistics of biometric parameters of trees and cones of Scots pine on the experimental site (N51°50.00'; E39°22.09', 113 m ASL) demonstrates the following values (average; average error): the height of the tree (186.2; 11.7), the diameter of the root neck of the tree (5.9; 0.3), the ratio of the height of the tree to the diameter of the root neck (31.90; 0.97), the number of cones (9; 4), the number of seeds (12; 5). There is a strong positive correlation at the level of p < 0.0001 between diameter and height, a strong positive correlation between the number of cones and the number of seeds (p < 0.001), a strong positive correlation (p < 0.05) between the height of the tree and the number of cones. In the future, it is planned to evaluate the relationship of accumulated degree days, accumulated precipitation, normalized difference vegetation index with the cones and seeds number.

Modelling the growth of secondary cowberry pine forest of different densities in Murmansk region

Tretyakov,

Bogdanov,

Tsvetkov

et al. 2024

In aiming to improve the standards and increase the accuracy of forest taxation works, modeling of the growth of pine stands in the cowberry type of forest in the zone of tundra forests of the Murmansk region was carried out. In the process of modeling the course of growth, methods of analytical alignment of taxation indicators and analysis of enumerative taxation materials were used. Trial areas were used to study the course of growth. In 2023, repeated recounts were carried out on permanent test areas in the Murmansk Region, laid down in 1962 and repeated recounts in 1967 and 1972. V.F. Tsvetkov research is taken into account, one of the founders of tundra forestry, on the division into types of formation of cranberry pine forests by density into moderately dense and overgrown. The values of empirical coefficients of the equation of stand height or diameter from age in overdrained and moderately dense lingonberry pine forests, characterising high closeness of relationship (R2 =0,86-0,97) the relationship between the signs is statistically significant (p < 0.05). The stands under study are significantly influenced by natural conditions at the extreme limit of growth, which primarily affects the dynamics of growth in height. The materials are grouped and aligned, according to the results of processing, dynamic series of taxational indicators of stands are obtained, which are presented in the form of equations. The obtained height values indicate that modal pine stands in the cowberry type of forest grow according to IV-V classes of bonitet.