Modern Practice of Artificial Reforestation in the Taiga Zone of the European Part of Russia

Author:

,Ilintsev Aleksey S.ORCID,Bogdanov Aleksandr P.ORCID,Romanov Evgeniy M.ORCID, ,Voronin Vasiliy V.ORCID,

Abstract

The article presents an analysis of technologies and techniques for creating forest plantations used in the Arkhangelsk and Kirov Regions, as well as the Komi Republic, based on the materials of reforestation projects for 2020. The territories under consideration belong to 6 forest areas: the Northern taiga, the Dvina-Vychegda taiga, the Southern taiga, the coniferous- broad-leafed (mixed) forests, the Western Ural taiga and the area of tundra forests and sparse taiga. The database created on the basis of the data from reforestation projects includes 13 indicators: categories of reforestation areas, forest vegetation conditions (terrain, soil type, soil moisture, group of forest types, degree of turfing), as well as tillage methods, mechanisms and aggregates used for tillage and planting seedlings and saplings and planting stock type. It has been established that in the studied regions, reforestation is more often carried out in fresh (1–2-year-old) felling areas in place of spruce plantations of blueberry forests, with podzolic drained and poorly drained soils. When cultivating soil for forest plantations, excavators are widely used (44 %), replacing traditional tractors with ploughs (usually PL-1). In most areas, furrow tillage is prevalent (52 %), but strips, mounds and patch scarification are also common (40 %). Containerized spruce and pine planting stocks have become more widely used (more than 50 % of the area), though seedlings are extremely rare (7 % in the Kirov Region). The data obtained allow us to asses the real picture of the use of reforestation technologies in the taiga zone on the example of three subjects of the Russian Federation, which will help the subjects of the Russian Federation in making management decisions for exercising their powers in the reforestation field.

Publisher

M.V. Lomonosov Northern (Arctic) Federal University

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