Event submissions
Published
This submission belongs to the session S2. Forest Biodiversity, Ecosystem Services, and Earth Observations of the event The 4th International Electronic Conference on Forests
Published date
19 Sep, 2024
Academic Editor
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Giorgos MallinisCitation
Svetlana Sultson, Andrey Goroshko, Pavel Михайловна Mikhailov, Denis Александрович Demidko, Olga Slinkina, Natalia Khizhniak, Methodological Bases for Predicting Siberian Moth Outbreaks in Dark-Coniferous Forests of Central Siberia, in Proceedings of The 4th International Electronic Conference on Forests, 23 September–25 September 2024, MDPI: Basel, Switzerland
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Methodological Bases for Predicting Siberian Moth Outbreaks in Dark-Coniferous Forests of Central Siberia
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Svetlana Sultson 1
Andrey Goroshko 1
Pavel Михайловна Mikhailov 1
Denis Александрович Demidko 1
Olga Slinkina 1
Natalia Khizhniak 1
1. Reshetnev Siberian State University of Science and Technology, 660037 Krasnoyarsk, Russia
Abstract
Keywords
dark-coniferous stands
Siberian moth (Dendrolimus sibiricus Tschetverikov)
defoliation
prediction
outbreak area
monitoring