Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia

This research is dedicated to solving an urgent problem associated with the large-scale destruction of taiga forests by Siberian silk moth ( Dendrolimus sibiricus ) outbreaks. The dynamics of the damage to dark coniferous forest stands induced by the Siberian silk moth outbreaks in mid-altitude moun...

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Main Authors: Svetlana M. Sultson, Andrey A. Goroshko, Sergey V. Verkhovets, Pavel V. Mikhaylov, Valery A. Ivanov, Denis A. Demidko, Sergey S. Kulakov
Format: Article in Journal/Newspaper
Language:unknown
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Online Access:https://www.mdpi.com/2073-445X/10/2/115/pdf
https://www.mdpi.com/2073-445X/10/2/115/
id ftrepec:oai:RePEc:gam:jlands:v:10:y:2021:i:2:p:115-:d:487141
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spelling ftrepec:oai:RePEc:gam:jlands:v:10:y:2021:i:2:p:115-:d:487141 2024-04-14T08:20:18+00:00 Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia Svetlana M. Sultson Andrey A. Goroshko Sergey V. Verkhovets Pavel V. Mikhaylov Valery A. Ivanov Denis A. Demidko Sergey S. Kulakov https://www.mdpi.com/2073-445X/10/2/115/pdf https://www.mdpi.com/2073-445X/10/2/115/ unknown https://www.mdpi.com/2073-445X/10/2/115/pdf https://www.mdpi.com/2073-445X/10/2/115/ article ftrepec 2024-03-19T10:39:10Z This research is dedicated to solving an urgent problem associated with the large-scale destruction of taiga forests by Siberian silk moth ( Dendrolimus sibiricus ) outbreaks. The dynamics of the damage to dark coniferous forest stands induced by the Siberian silk moth outbreaks in mid-altitude mountains were studied. A hypothesis was formulated based on the fundamental influence of the orography on the phytophage’s dispersal within the landscape, along with the climate, which acts as a secondary predictor—a catalyst for outbreaks. The study was carried out using Landsat−8 satellite imagery time-series (from 2018 to 2020). The data were verified using a field forest pathological survey of the territory. An assessment of the defoliated forest area and damage association with the landscape was carried out using an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation model. The assessment was aimed to detail the forecast parameters for an outbreak development in mid-altitude mountains using the orographic features—altitude, terrain slope, and slope aspect. Early warnings of phytophagous insect outbreaks in mountain southern taiga should be focused on the permanent monitoring of dark coniferous stands of the mossy group of forest types, covering altitude levels from 400 to 600 m, located on gentle terrains and slopes of up to 15 degrees. The greatest vulnerability to phytophage impacts was characterized as areas located at altitudes from 400 to 600 m. The upper limit of D. sibiricus distribution was 900 m above sea level. The results obtained provide comprehensive information on the Siberian silk moth potential reserves within the study area with the possibility of extrapolation to similar territories. The data will make it possible to model pest outbreaks based on orography and improve the forest pathological monitoring methods at the regional level. forest pathology; monitoring; digital elevation model; Dendrolimus sibiricus forest damage; spatiotemporal dynamics; Siberian ... Article in Journal/Newspaper taiga Siberia RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description This research is dedicated to solving an urgent problem associated with the large-scale destruction of taiga forests by Siberian silk moth ( Dendrolimus sibiricus ) outbreaks. The dynamics of the damage to dark coniferous forest stands induced by the Siberian silk moth outbreaks in mid-altitude mountains were studied. A hypothesis was formulated based on the fundamental influence of the orography on the phytophage’s dispersal within the landscape, along with the climate, which acts as a secondary predictor—a catalyst for outbreaks. The study was carried out using Landsat−8 satellite imagery time-series (from 2018 to 2020). The data were verified using a field forest pathological survey of the territory. An assessment of the defoliated forest area and damage association with the landscape was carried out using an Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) digital elevation model. The assessment was aimed to detail the forecast parameters for an outbreak development in mid-altitude mountains using the orographic features—altitude, terrain slope, and slope aspect. Early warnings of phytophagous insect outbreaks in mountain southern taiga should be focused on the permanent monitoring of dark coniferous stands of the mossy group of forest types, covering altitude levels from 400 to 600 m, located on gentle terrains and slopes of up to 15 degrees. The greatest vulnerability to phytophage impacts was characterized as areas located at altitudes from 400 to 600 m. The upper limit of D. sibiricus distribution was 900 m above sea level. The results obtained provide comprehensive information on the Siberian silk moth potential reserves within the study area with the possibility of extrapolation to similar territories. The data will make it possible to model pest outbreaks based on orography and improve the forest pathological monitoring methods at the regional level. forest pathology; monitoring; digital elevation model; Dendrolimus sibiricus forest damage; spatiotemporal dynamics; Siberian ...
format Article in Journal/Newspaper
author Svetlana M. Sultson
Andrey A. Goroshko
Sergey V. Verkhovets
Pavel V. Mikhaylov
Valery A. Ivanov
Denis A. Demidko
Sergey S. Kulakov
spellingShingle Svetlana M. Sultson
Andrey A. Goroshko
Sergey V. Verkhovets
Pavel V. Mikhaylov
Valery A. Ivanov
Denis A. Demidko
Sergey S. Kulakov
Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
author_facet Svetlana M. Sultson
Andrey A. Goroshko
Sergey V. Verkhovets
Pavel V. Mikhaylov
Valery A. Ivanov
Denis A. Demidko
Sergey S. Kulakov
author_sort Svetlana M. Sultson
title Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
title_short Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
title_full Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
title_fullStr Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
title_full_unstemmed Orographic Factors as a Predictor of the Spread of the Siberian Silk Moth Outbreak in the Mountainous Southern Taiga Forests of Siberia
title_sort orographic factors as a predictor of the spread of the siberian silk moth outbreak in the mountainous southern taiga forests of siberia
url https://www.mdpi.com/2073-445X/10/2/115/pdf
https://www.mdpi.com/2073-445X/10/2/115/
genre taiga
Siberia
genre_facet taiga
Siberia
op_relation https://www.mdpi.com/2073-445X/10/2/115/pdf
https://www.mdpi.com/2073-445X/10/2/115/
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