Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/132446
Title: Problem of climate-driven dynamics in the genetic forest typology
Authors: Fomin, V.
Ivanova, N.
Mikhailovich, A.
Zolotova, E.
Issue Date: 2021
Publisher: American Institute of Physics Inc.
Citation: Fomin, V, Ivanova, N, Mikhailovich, A & Zolotova, E 2021, Problem of climate-driven dynamics in the genetic forest typology. в GV Zyryanov, S Santra & OS Taniya (ред.), Modern Synthetic Methodologies for Creating Drugs and Functional Materials, MOSM 2020: Proceedings of the IV International Conference., 030007, AIP Conference Proceedings, Том. 2388, American Institute of Physics Inc., 4th International Conference on Modern Synthetic Methodologies for Creating Drugs and Functional Materials, MOSM 2020, Yekaterinburg, Российская Федерация, 16/11/2020. https://doi.org/10.1063/5.0068806
Fomin, V., Ivanova, N., Mikhailovich, A., & Zolotova, E. (2021). Problem of climate-driven dynamics in the genetic forest typology. в G. V. Zyryanov, S. Santra, & O. S. Taniya (Ред.), Modern Synthetic Methodologies for Creating Drugs and Functional Materials, MOSM 2020: Proceedings of the IV International Conference [030007] (AIP Conference Proceedings; Том 2388). American Institute of Physics Inc.. https://doi.org/10.1063/5.0068806
Abstract: Included is the review of forest typology aimed at issues related to climate-driven dynamics of vegetation. Problem definition and key research were performed under extreme conditions for trees (upper tree-line ecotone). Study of climate factor impacts on forest ecosystems in taiga zone conditions that are optimal for arboreal plants has a number of complications, and required specific data analysis methods. Authors provide examples of using landscape photos taken at different times, ecological scales, DCA-ordination, and catastrophe theory-based modeling. Priority study areas for forest climate-driven dynamics include research on impact of climatic factors on forest structure and diversity, age and recovery dynamics, development of new data analysis methods, and study of phenomena related to permafrost thawing and forest fires. © 2021 Author(s).
Keywords: CORPORATE GOVERNANCE
CORPORATE SOCIAL PERFORMANCE
CORPORATE SOCIAL RESPONSIBILITY
CORPORATE SOCIAL RESPONSIBILITY OUTCOMES
FIRM RISK
URI: http://elar.urfu.ru/handle/10995/132446
Access: info:eu-repo/semantics/openAccess
cc-by-nc-nd
Conference name: 16 November 2020 through 20 November 2020
Conference date: 4th International Conference on Modern Synthetic Methodologies for Creating Drugs and Functional Materials, MOSM 2020
SCOPUS ID: 85120431183
WOS ID: 000797224800001
PURE ID: 0ec67f35-afef-42fe-9be6-6d705c072230
29062166
ISSN: 0094-243X
ISBN: 978-073544142-2
DOI: 10.1063/5.0068806
Sponsorship: A.N. Zavaritsky Institute of Geology and Geochemistry of the Ural branch of the Russian Academy of Sciences, (AAAA-A18-118052590028-9)
Russian Ministry for Education and Science, (FEUG-2020-0013)
Russian Foundation for Basic Research, РФФИ, (18-34-00803 mol_a)
Ural Branch, Russian Academy of Sciences, UB RAS
The work was carried out within the framework of the state task of the Botanical Garden of the Ural branch of the Russian Academy of Sciences, the A.N. Zavaritsky Institute of Geology and Geochemistry of the Ural branch of the Russian Academy of Sciences (state registration no. AAAA-A18-118052590028-9) and supported by the Russian Foundation for Basic Research (project No. 18-34-00803 mol_a) and a grant of Russian Ministry for Education and Science FEUG-2020-0013.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

Files in This Item:
File Description SizeFormat 
2-s2.0-85120431183.pdf756,03 kBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.