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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Natural hazards (Dordrecht) 2019-05, Vol.97 (1), p.283-308
Hauptverfasser: Shikhov, Andrey N., Perminova, Ekaterina S., Perminov, Sergey I.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 308
container_issue 1
container_start_page 283
container_title Natural hazards (Dordrecht)
container_volume 97
creator Shikhov, Andrey N.
Perminova, Ekaterina S.
Perminov, Sergey I.
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
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2247260550</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2247260550</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-2f740bc6c580d14c83aac45e87de830d85c1578ca834d80a172ca89685dc68833</originalsourceid><addsrcrecordid>eNp9kM1KQzEQhYMoWKsv4Crg1ugkuT-5SxH_oCCoBXchTXJryvXemkkX1pfxWXwyUyu4czHMwJzzMXMIOeZwxgHqc-QcqoYBzyWrQrD1DhnxspYMVAG7ZASN4HkFz_vkAHEBwHklmhH5eDTJd11Ins0MekdNb7p3DEiHlqYX__WJS5OC6Whuycf-Z9GG6FmWOoppiK8s-i5jHG2H6DFRFzCt4sz01iMN_YZDpzEzop-HoT-lDyvEYA7JXms69Ee_fUym11dPl7dscn9zd3kxYVbyJjHR1gXMbGVLBY4XVkljbFF6VTuvJDhV2vypskbJwikwvBZ5bipVOlspJeWYnGy5yzi8rfKBejGsYv4TtRBFLSooS8gqsVXZOCBG3-plDK8mvmsOehOy3oasc8j6J2S9zia5NWEW93Mf_9D_uL4BgomCJA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2247260550</pqid></control><display><type>article</type><title>Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia</title><source>SpringerLink Journals</source><creator>Shikhov, Andrey N. ; Perminova, Ekaterina S. ; Perminov, Sergey I.</creator><creatorcontrib>Shikhov, Andrey N. ; Perminova, Ekaterina S. ; Perminov, Sergey I.</creatorcontrib><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 &gt; 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 &amp; 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 &gt; 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 &amp; 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 effects</subject><issn>0921-030X</issn><issn>1573-0840</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp9kM1KQzEQhYMoWKsv4Crg1ugkuT-5SxH_oCCoBXchTXJryvXemkkX1pfxWXwyUyu4czHMwJzzMXMIOeZwxgHqc-QcqoYBzyWrQrD1DhnxspYMVAG7ZASN4HkFz_vkAHEBwHklmhH5eDTJd11Ins0MekdNb7p3DEiHlqYX__WJS5OC6Whuycf-Z9GG6FmWOoppiK8s-i5jHG2H6DFRFzCt4sz01iMN_YZDpzEzop-HoT-lDyvEYA7JXms69Ee_fUym11dPl7dscn9zd3kxYVbyJjHR1gXMbGVLBY4XVkljbFF6VTuvJDhV2vypskbJwikwvBZ5bipVOlspJeWYnGy5yzi8rfKBejGsYv4TtRBFLSooS8gqsVXZOCBG3-plDK8mvmsOehOy3oasc8j6J2S9zia5NWEW93Mf_9D_uL4BgomCJA</recordid><startdate>20190501</startdate><enddate>20190501</enddate><creator>Shikhov, Andrey N.</creator><creator>Perminova, Ekaterina S.</creator><creator>Perminov, Sergey I.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M2P</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2489-8436</orcidid></search><sort><creationdate>20190501</creationdate><title>Satellite-based analysis of the 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 &amp; 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 (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Science Database</collection><collection>Engineering Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Natural hazards (Dordrecht)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shikhov, Andrey N.</au><au>Perminova, Ekaterina S.</au><au>Perminov, Sergey I.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Satellite-based analysis of the spatial patterns of fire- and storm-related forest disturbances in the Ural region, Russia</atitle><jtitle>Natural hazards (Dordrecht)</jtitle><stitle>Nat 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 &gt; 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>
fulltext fulltext
identifier ISSN: 0921-030X
ispartof Natural hazards (Dordrecht), 2019-05, Vol.97 (1), p.283-308
issn 0921-030X
1573-0840
language eng
recordid cdi_proquest_journals_2247260550
source SpringerLink Journals
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
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-27T00%3A59%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Satellite-based%20analysis%20of%20the%C2%A0spatial%20patterns%20of%20fire-%20and%20storm-related%20forest%20disturbances%20in%20the%20Ural%20region,%20Russia&rft.jtitle=Natural%20hazards%20(Dordrecht)&rft.au=Shikhov,%20Andrey%20N.&rft.date=2019-05-01&rft.volume=97&rft.issue=1&rft.spage=283&rft.epage=308&rft.pages=283-308&rft.issn=0921-030X&rft.eissn=1573-0840&rft_id=info:doi/10.1007/s11069-019-03642-z&rft_dat=%3Cproquest_cross%3E2247260550%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2247260550&rft_id=info:pmid/&rfr_iscdi=true