EventsThe 1st International Electronic Conference on Entomology
Published
This submission belongs to the session B. Biodiversity, Ecology and Evolution of the event The 1st International Electronic Conference on Entomology
Published date
30 Jun, 2021
Academic Editor
author-avatarAntónio Onofre Soares
Citation
Pavel Mikhaylov, Svetlana Sultson, Andrey Goroshko, Sergey Verkhovets, Denis Demidko, Evgeny Ponomarev, Improving the Monitoring System Towards Early Detection and Prediction of the Siberian Moth Outbreaks in Eastern Siberia, in Proceedings of The 1st International Electronic Conference on Entomology, 1 July–15 July 2021, MDPI: Basel, Switzerland, doi: 10.3390/IECE-10403
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Improving the Monitoring System Towards Early Detection and Prediction of the Siberian Moth Outbreaks in Eastern Siberia

image
Sergey Verkhovets 1
1. Reshetnev Siberian State University of Science and Technology
2. Reshetnev Siberian State University of Science and Technology, Russia
3. Sukachev Institute of Forest, Siberian Branch, Russian Academy of Science
Abstract

The Siberian moth, Dendrolimus sibiricus Tschetverikov (Lepidoptera: Lasiocampidae) is a dangerous pest of the taiga forest in Siberia. The present research is aimed to improve the monitoring system towards early detection and prediction of the Siberian moth outbreaks in dark-coniferous taiga in the mountainous region of Krasnoyarsk Krai (Eastern Siberia). The study determined the habitats preferred by the Siberian moth considering the relief, the type of forest and forest inventory characteristics. For that, we analyzed data obtained with the remote sensing and those collected in nature in 2018-2019 through surveying the plots damaged by the pest.

Keywords
coniferous pest
dark coniferous stands
serve defoliation
forest type
surveil
prediction
Manuscript
Poster
Презентация Sultson.pdf
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