Please use this identifier to cite or link to this item: http://hdl.handle.net/10995/102485
Title: Genetic forest typology as a scientific and methodological basis for environmental studies and forest management
Authors: Fomin, V.
Ivanova, N.
Mikhailovich, A.
Issue Date: 2020
Publisher: IOP Publishing Ltd
Citation: Fomin V. Genetic forest typology as a scientific and methodological basis for environmental studies and forest management / V. Fomin, N. Ivanova, A. Mikhailovich. — DOI 10.1088/1755-1315/609/1/012044 // IOP Conference Series: Earth and Environmental Science. — 2020. — Vol. 609. — Iss. 1. — 012044.
Abstract: Paper describes key elements of a genetic approach to classification of forest types – one of the original forest typological research directions in Russia summarizes the results of research over the hundred-year period of formation and development of this promising (from the point of view of sustainable management of natural resources) scientific direction. Authors provide a map of current forest type genetic classification use in the Russian Federation, and outline key perspective directions in the development of genetic classifications within a framework of the described approach. Modern genetic forest typology is an interdisciplinary science. It uses forestry, soil science, biogeography, and landscape ecology, allow you to reflect the processes of forest vegetation dynamics in syntaxons and on maps. Therefore, it gives excellent results for systematizing not only primary forests, but also a variety of secondary plant communities with extremely variable composition. Authors believe that there are the following main avenues of genetic approach to forest type classifications development: improvement of forest zoning technologies based upon assessment of environmental factors’ quantitative values, including development of spatial models for estimating factor values; development of new automated quantitative assessment methods for forest site conditions and tree stands’ parameters using high spatial resolution data obtained from aerial drones; development and verification of the rules for combining forest areas with relatively close parameter values, i.e. with similar forest-growing conditions, in one spatial unit; development and verification of the rules for combining spatial units with relatively different forest-growing conditions into larger units according to applied silvicultural practices; Improvement of existing and development of new forest typological schemes reflecting changes in climate conditions that can be applied for zones with high levels of anthropogenic impacts; development of silvicultural practices and logging technologies considering classification schemes of forest type dynamics; Genetic studies of the populations that compose forest communities. Genetic forest type classification is based upon the origin (genesis) and development of forests. Therefore, genesis studies of forest communities based on genetic analysis of the populations will become the core theme of the future fundamental research in this area. © 2020 Institute of Physics Publishing. All rights reserved.
Keywords: ANTENNAS
CLIMATE MODELS
EARTH SCIENCES
ECOLOGY
ENVIRONMENTAL TECHNOLOGY
PLANTS (BOTANY)
POPULATION STATISTICS
RESEARCH AND DEVELOPMENT MANAGEMENT
SUSTAINABLE DEVELOPMENT
ANTHROPOGENIC IMPACTS
ENVIRONMENTAL FACTORS
ENVIRONMENTAL STUDIES
GENETIC CLASSIFICATION
HIGH SPATIAL RESOLUTION
QUANTITATIVE ASSESSMENT METHODS
SILVICULTURAL PRACTICES
SUSTAINABLE MANAGEMENT
FORESTRY
URI: http://hdl.handle.net/10995/102485
Access: info:eu-repo/semantics/openAccess
SCOPUS ID: 85098010570
PURE ID: 20381061
b6912727-d232-4d57-9bb6-b083693e074e
ISSN: 17551307
DOI: 10.1088/1755-1315/609/1/012044
metadata.dc.description.sponsorship: The work was carried out within the framework of the state task of the Botanical Garden of the Ural branch of RAS and supported by the Russian Foundation for Basic Research (project No. 18-34-00803 mol_a). Authors express gratitude to Artem Popov for his help in obtaining data on the use of genetic classifications in the regions of the Russian Federation.
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