Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia
Large-scale wildfires and windstorms are the most important disturbance agents for the Russian boreal forests. The paper presents an assessment of fire-related and wind-induced forest losses in the Ural region of Russia for 2000‒2014. The assessment is based on the use of Landsat images, Global Fore...
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description | Large-scale wildfires and windstorms are the most important disturbance agents for the Russian boreal forests. The paper presents an assessment of fire-related and wind-induced forest losses in the Ural region of Russia for 2000‒2014. The assessment is based on the use of Landsat images, Global Forest Change dataset (Hansen et al. in Science 342:850–853,
2013
.
https://doi.org/10.1126/science.1244693
) and other space imagery data. The total area of stand-replacement fires and windthrows in the Ural’s forests was estimated at 1.637 million ha, which is 1.56% of the total forest-covered area. The contribution of wildfires and windthrows is 96.4% and 3.6%, respectively. The highest frequency of large-scale wildfires was observed behind the Northern Ural ridge, where the fire scars of 2000‒2014 covered 10–14% of the forested area. The storm-related forest damage is significant only on the western part of the Ural. A few catastrophic wildfires and windthrows (with an area > 5000 ha) make up 35% of the entire damaged area. The number of wildfires, windthrows and their damaged area vary significantly from year to year. For 2000–2014, it is impossible to find a statistically significant trend of the fire- and storm-damaged area. The seasonal maximum of large-scale wildfires and windthrows was observed in July. Also, we identified the statistically significant relationships of fire- and wind-related forest damage with environmental variables. The occurrence of large-scale wildfires is related mainly to the species composition of forests, and also to the altitude, the mean annual precipitation and the population density. The spatial distribution of massive windthrows has a strong correlation with the species composition of forests, the mean annual precipitation and partially with the wind effect parameter. |
doi_str_mv | 10.1007/s11069-019-03642-z |
format | Article |
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2013
.
https://doi.org/10.1126/science.1244693
) and other space imagery data. The total area of stand-replacement fires and windthrows in the Ural’s forests was estimated at 1.637 million ha, which is 1.56% of the total forest-covered area. The contribution of wildfires and windthrows is 96.4% and 3.6%, respectively. The highest frequency of large-scale wildfires was observed behind the Northern Ural ridge, where the fire scars of 2000‒2014 covered 10–14% of the forested area. The storm-related forest damage is significant only on the western part of the Ural. A few catastrophic wildfires and windthrows (with an area > 5000 ha) make up 35% of the entire damaged area. The number of wildfires, windthrows and their damaged area vary significantly from year to year. For 2000–2014, it is impossible to find a statistically significant trend of the fire- and storm-damaged area. The seasonal maximum of large-scale wildfires and windthrows was observed in July. Also, we identified the statistically significant relationships of fire- and wind-related forest damage with environmental variables. The occurrence of large-scale wildfires is related mainly to the species composition of forests, and also to the altitude, the mean annual precipitation and the population density. The spatial distribution of massive windthrows has a strong correlation with the species composition of forests, the mean annual precipitation and partially with the wind effect parameter.</description><identifier>ISSN: 0921-030X</identifier><identifier>EISSN: 1573-0840</identifier><identifier>DOI: 10.1007/s11069-019-03642-z</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Annual precipitation ; Area ; Boreal ecosystems ; Boreal forests ; Civil Engineering ; Composition ; Earth and Environmental Science ; Earth Sciences ; Environmental Management ; Fire damage ; Fires ; Forest damage ; Forests ; Geophysics/Geodesy ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Imagery ; Landsat ; Landsat satellites ; Lesions ; Mean annual precipitation ; Natural Hazards ; Original Paper ; Population density ; Precipitation ; Remote sensing ; Satellite imagery ; Scars ; Spatial analysis ; Spatial distribution ; Species composition ; Statistical analysis ; Statistical significance ; Storm damage ; Storms ; Wildfires ; Wind ; Wind damage ; Wind effects</subject><ispartof>Natural hazards (Dordrecht), 2019-05, Vol.97 (1), p.283-308</ispartof><rights>Springer Nature B.V. 2019</rights><rights>Natural Hazards is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-2f740bc6c580d14c83aac45e87de830d85c1578ca834d80a172ca89685dc68833</citedby><cites>FETCH-LOGICAL-c319t-2f740bc6c580d14c83aac45e87de830d85c1578ca834d80a172ca89685dc68833</cites><orcidid>0000-0003-2489-8436</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11069-019-03642-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11069-019-03642-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Shikhov, Andrey N.</creatorcontrib><creatorcontrib>Perminova, Ekaterina S.</creatorcontrib><creatorcontrib>Perminov, Sergey I.</creatorcontrib><title>Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia</title><title>Natural hazards (Dordrecht)</title><addtitle>Nat Hazards</addtitle><description>Large-scale wildfires and windstorms are the most important disturbance agents for the Russian boreal forests. The paper presents an assessment of fire-related and wind-induced forest losses in the Ural region of Russia for 2000‒2014. The assessment is based on the use of Landsat images, Global Forest Change dataset (Hansen et al. in Science 342:850–853,
2013
.
https://doi.org/10.1126/science.1244693
) and other space imagery data. The total area of stand-replacement fires and windthrows in the Ural’s forests was estimated at 1.637 million ha, which is 1.56% of the total forest-covered area. The contribution of wildfires and windthrows is 96.4% and 3.6%, respectively. The highest frequency of large-scale wildfires was observed behind the Northern Ural ridge, where the fire scars of 2000‒2014 covered 10–14% of the forested area. The storm-related forest damage is significant only on the western part of the Ural. A few catastrophic wildfires and windthrows (with an area > 5000 ha) make up 35% of the entire damaged area. The number of wildfires, windthrows and their damaged area vary significantly from year to year. For 2000–2014, it is impossible to find a statistically significant trend of the fire- and storm-damaged area. The seasonal maximum of large-scale wildfires and windthrows was observed in July. Also, we identified the statistically significant relationships of fire- and wind-related forest damage with environmental variables. The occurrence of large-scale wildfires is related mainly to the species composition of forests, and also to the altitude, the mean annual precipitation and the population density. The spatial distribution of massive windthrows has a strong correlation with the species composition of forests, the mean annual precipitation and partially with the wind effect parameter.</description><subject>Annual precipitation</subject><subject>Area</subject><subject>Boreal ecosystems</subject><subject>Boreal forests</subject><subject>Civil Engineering</subject><subject>Composition</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental Management</subject><subject>Fire damage</subject><subject>Fires</subject><subject>Forest damage</subject><subject>Forests</subject><subject>Geophysics/Geodesy</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Imagery</subject><subject>Landsat</subject><subject>Landsat satellites</subject><subject>Lesions</subject><subject>Mean annual precipitation</subject><subject>Natural Hazards</subject><subject>Original Paper</subject><subject>Population density</subject><subject>Precipitation</subject><subject>Remote sensing</subject><subject>Satellite imagery</subject><subject>Scars</subject><subject>Spatial analysis</subject><subject>Spatial distribution</subject><subject>Species composition</subject><subject>Statistical analysis</subject><subject>Statistical significance</subject><subject>Storm damage</subject><subject>Storms</subject><subject>Wildfires</subject><subject>Wind</subject><subject>Wind damage</subject><subject>Wind 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spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia</title><author>Shikhov, Andrey N. ; Perminova, Ekaterina S. ; Perminov, Sergey I.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-2f740bc6c580d14c83aac45e87de830d85c1578ca834d80a172ca89685dc68833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Annual precipitation</topic><topic>Area</topic><topic>Boreal ecosystems</topic><topic>Boreal forests</topic><topic>Civil Engineering</topic><topic>Composition</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Environmental Management</topic><topic>Fire damage</topic><topic>Fires</topic><topic>Forest damage</topic><topic>Forests</topic><topic>Geophysics/Geodesy</topic><topic>Geotechnical Engineering & Applied Earth Sciences</topic><topic>Hydrogeology</topic><topic>Imagery</topic><topic>Landsat</topic><topic>Landsat satellites</topic><topic>Lesions</topic><topic>Mean annual precipitation</topic><topic>Natural Hazards</topic><topic>Original Paper</topic><topic>Population density</topic><topic>Precipitation</topic><topic>Remote sensing</topic><topic>Satellite imagery</topic><topic>Scars</topic><topic>Spatial analysis</topic><topic>Spatial distribution</topic><topic>Species composition</topic><topic>Statistical analysis</topic><topic>Statistical significance</topic><topic>Storm damage</topic><topic>Storms</topic><topic>Wildfires</topic><topic>Wind</topic><topic>Wind damage</topic><topic>Wind effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shikhov, Andrey N.</creatorcontrib><creatorcontrib>Perminova, Ekaterina S.</creatorcontrib><creatorcontrib>Perminov, Sergey I.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central 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Hazards</stitle><date>2019-05-01</date><risdate>2019</risdate><volume>97</volume><issue>1</issue><spage>283</spage><epage>308</epage><pages>283-308</pages><issn>0921-030X</issn><eissn>1573-0840</eissn><abstract>Large-scale wildfires and windstorms are the most important disturbance agents for the Russian boreal forests. The paper presents an assessment of fire-related and wind-induced forest losses in the Ural region of Russia for 2000‒2014. The assessment is based on the use of Landsat images, Global Forest Change dataset (Hansen et al. in Science 342:850–853,
2013
.
https://doi.org/10.1126/science.1244693
) and other space imagery data. The total area of stand-replacement fires and windthrows in the Ural’s forests was estimated at 1.637 million ha, which is 1.56% of the total forest-covered area. The contribution of wildfires and windthrows is 96.4% and 3.6%, respectively. The highest frequency of large-scale wildfires was observed behind the Northern Ural ridge, where the fire scars of 2000‒2014 covered 10–14% of the forested area. The storm-related forest damage is significant only on the western part of the Ural. A few catastrophic wildfires and windthrows (with an area > 5000 ha) make up 35% of the entire damaged area. The number of wildfires, windthrows and their damaged area vary significantly from year to year. For 2000–2014, it is impossible to find a statistically significant trend of the fire- and storm-damaged area. The seasonal maximum of large-scale wildfires and windthrows was observed in July. Also, we identified the statistically significant relationships of fire- and wind-related forest damage with environmental variables. The occurrence of large-scale wildfires is related mainly to the species composition of forests, and also to the altitude, the mean annual precipitation and the population density. The spatial distribution of massive windthrows has a strong correlation with the species composition of forests, the mean annual precipitation and partially with the wind effect parameter.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11069-019-03642-z</doi><tpages>26</tpages><orcidid>https://orcid.org/0000-0003-2489-8436</orcidid></addata></record> |
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subjects | Annual precipitation Area Boreal ecosystems Boreal forests Civil Engineering Composition Earth and Environmental Science Earth Sciences Environmental Management Fire damage Fires Forest damage Forests Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hydrogeology Imagery Landsat Landsat satellites Lesions Mean annual precipitation Natural Hazards Original Paper Population density Precipitation Remote sensing Satellite imagery Scars Spatial analysis Spatial distribution Species composition Statistical analysis Statistical significance Storm damage Storms Wildfires Wind Wind damage Wind effects |
title | Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia |
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