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Program system for climate risk assessment in forestry. / Soroka, A.; Peresunko, E.; Semyonova, E.; Peresunko, P.; Nedbaev, I.

2024. Paper presented at International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Воронеж, Russian Federation.

Research output: Contribution to conference › Paper › peer-review

Harvard

Soroka, A, Peresunko, E, Semyonova, E, Peresunko, P & Nedbaev, I 2024, 'Program system for climate risk assessment in forestry', Paper presented at International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Воронеж, Russian Federation, 15/10/24 - 18/10/24. https://doi.org/10.1051/bioconf/202414504005

APA

Soroka, A., Peresunko, E., Semyonova, E., Peresunko, P., & Nedbaev, I. (2024). Program system for climate risk assessment in forestry. Paper presented at International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Воронеж, Russian Federation. https://doi.org/10.1051/bioconf/202414504005

Vancouver

Soroka A, Peresunko E, Semyonova E, Peresunko P, Nedbaev I. Program system for climate risk assessment in forestry. 2024. Paper presented at International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Воронеж, Russian Federation. https://doi.org/10.1051/bioconf/202414504005

Author

Soroka, A. ; Peresunko, E. ; Semyonova, E. ; Peresunko, P. ; Nedbaev, I. / Program system for climate risk assessment in forestry. Paper presented at International Scientific Forestry Forum 2024: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Воронеж, Russian Federation.

BibTeX

@conference{27b3913f014840438fc7adfadfd47708,
title = "Program system for climate risk assessment in forestry",
abstract = "The paper presents the main aspects of the development and implementation of a system that allows predicting climate risks for forestry on the basis of retrospective and forecast data. The existing variants of software for determining the hazard level of climatic risks in forestry are considered. The methods of analyzing climatic data are described and an original algorithm for calculating the danger level of risks is proposed. Particular attention is paid to the practical application of the system: examples of its use to assess the risks of forest fires, forest pests and diseases, changes in productivity and species composition, as well as the death of forest plantations from extreme weather events are given. Recommendations derived from the interpretation of the program results can be used by executive authorities for forest planning purposes, in particular, for the development of adaptation measures. {\textcopyright} 2025 Elsevier B.V., All rights reserved.",
author = "A. Soroka and E. Peresunko and E. Semyonova and P. Peresunko and I. Nedbaev",
note = "Export Date: 01 November 2025; Cited By: 0; Correspondence Address: A. Soroka; St. Petersburg Research Institute of Forestry, St. Petersburg, 21, Institutsky Prospekt, 194021, Russian Federation; email: a.soroka@spb-niilh.ru; Conference name: 2024 International Scientific Forestry Forum: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Forestry Forum 2024; Conference location: Voronezh; null ; Conference date: 15-10-2024 Through 18-10-2024",
year = "2024",
doi = "10.1051/bioconf/202414504005",
language = "Английский",

}

RIS

TY - CONF

T1 - Program system for climate risk assessment in forestry

AU - Soroka, A.

AU - Peresunko, E.

AU - Semyonova, E.

AU - Peresunko, P.

AU - Nedbaev, I.

N1 - Export Date: 01 November 2025; Cited By: 0; Correspondence Address: A. Soroka; St. Petersburg Research Institute of Forestry, St. Petersburg, 21, Institutsky Prospekt, 194021, Russian Federation; email: a.soroka@spb-niilh.ru; Conference name: 2024 International Scientific Forestry Forum: Forest Ecosystems as Global Resource of the Biosphere: Calls, Threats, Solutions, Forestry Forum 2024; Conference location: Voronezh

PY - 2024

Y1 - 2024

N2 - The paper presents the main aspects of the development and implementation of a system that allows predicting climate risks for forestry on the basis of retrospective and forecast data. The existing variants of software for determining the hazard level of climatic risks in forestry are considered. The methods of analyzing climatic data are described and an original algorithm for calculating the danger level of risks is proposed. Particular attention is paid to the practical application of the system: examples of its use to assess the risks of forest fires, forest pests and diseases, changes in productivity and species composition, as well as the death of forest plantations from extreme weather events are given. Recommendations derived from the interpretation of the program results can be used by executive authorities for forest planning purposes, in particular, for the development of adaptation measures. © 2025 Elsevier B.V., All rights reserved.

AB - The paper presents the main aspects of the development and implementation of a system that allows predicting climate risks for forestry on the basis of retrospective and forecast data. The existing variants of software for determining the hazard level of climatic risks in forestry are considered. The methods of analyzing climatic data are described and an original algorithm for calculating the danger level of risks is proposed. Particular attention is paid to the practical application of the system: examples of its use to assess the risks of forest fires, forest pests and diseases, changes in productivity and species composition, as well as the death of forest plantations from extreme weather events are given. Recommendations derived from the interpretation of the program results can be used by executive authorities for forest planning purposes, in particular, for the development of adaptation measures. © 2025 Elsevier B.V., All rights reserved.

U2 - 10.1051/bioconf/202414504005

DO - 10.1051/bioconf/202414504005

M3 - материалы

Y2 - 15 October 2024 through 18 October 2024

ER -

ID: 143411877