Influence of Mountain Spruce Forest Dieback on Snow Accumulation and Melt
Large-scale forest dieback was reported in recent decades in many parts of the world. In Slovakia, the most endangered species is Norway spruce (Picea Abies). Spruce dieback affects also indigenous mountain forests. We analysed changes in snow cover characteristics in the disturbed spruce forest rep...
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Veröffentlicht in: | Journal of Hydrology and Hydromechanics 2019-03, Vol.67 (1), p.59-69 |
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description | Large-scale forest dieback was reported in recent decades in many parts of the world. In Slovakia, the most endangered species is Norway spruce (Picea Abies). Spruce dieback affects also indigenous mountain forests. We analysed changes in snow cover characteristics in the disturbed spruce forest representing the tree line zone (1420 m a.s.l.) in the Western Tatra Mountains, Slovakia, in five winter seasons 2013-2017. Snow depth, density and water equivalent (SWE) were measured biweekly (10-12 times per winter) at four sites representing the living forest (Living), disturbed forest with dead trees (Dead), forest opening (Open) and large open area outside the forest (Meadow). The data confirmed statistically significant differences in snow depth between the living and disturbed forest. These differences increased since the third winter after forest dieback. The differences in snow density between the disturbed and living forest were in most cases not significant. Variability of snow density expressed by coefficient of variation was approximately half that of the snow depth. Forest dieback resulted in a significant increase (about 25%) of the water amount stored in the snow while the snowmelt characteristics (snowmelt beginning and time of snow disappearance) did not change much. Average SWE calculated for all measurements conducted during five winters increased in the sequence Living < Dead < Meadow < Open. SWE variability expressed by the coefficient of variation increased in the opposite order. |
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In Slovakia, the most endangered species is Norway spruce (Picea Abies). Spruce dieback affects also indigenous mountain forests. We analysed changes in snow cover characteristics in the disturbed spruce forest representing the tree line zone (1420 m a.s.l.) in the Western Tatra Mountains, Slovakia, in five winter seasons 2013-2017. Snow depth, density and water equivalent (SWE) were measured biweekly (10-12 times per winter) at four sites representing the living forest (Living), disturbed forest with dead trees (Dead), forest opening (Open) and large open area outside the forest (Meadow). The data confirmed statistically significant differences in snow depth between the living and disturbed forest. These differences increased since the third winter after forest dieback. The differences in snow density between the disturbed and living forest were in most cases not significant. Variability of snow density expressed by coefficient of variation was approximately half that of the snow depth. Forest dieback resulted in a significant increase (about 25%) of the water amount stored in the snow while the snowmelt characteristics (snowmelt beginning and time of snow disappearance) did not change much. Average SWE calculated for all measurements conducted during five winters increased in the sequence Living < Dead < Meadow < Open. SWE variability expressed by the coefficient of variation increased in the opposite order.</description><identifier>ISSN: 0042-790X</identifier><identifier>EISSN: 0042-790X</identifier><identifier>EISSN: 1338-4333</identifier><identifier>DOI: 10.2478/johh-2018-0022</identifier><language>eng</language><publisher>Bratislava: De Gruyter Poland</publisher><subject>Coefficient of variation ; degree-day model ; Density ; Depth ; Dieback ; Endangered species ; Evergreen trees ; forest dieback ; Forests ; Mathematical analysis ; Meadows ; Mountain forests ; Mountains ; norway spruce ; Pine trees ; Rare species ; Snow ; Snow accumulation ; snow characteristics ; Snow cover ; Snow density ; Snow depth ; Snowmelt ; Statistical analysis ; Treeline ; Variability ; Water depth ; Winter</subject><ispartof>Journal of Hydrology and Hydromechanics, 2019-03, Vol.67 (1), p.59-69</ispartof><rights>2019. This work is published under http://creativecommons.org/licenses/by-nc-nd/4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c425t-14cda2fd50cf99a3881516d0fdf2701696998fe91b978274b96691c66f1fcde43</citedby><cites>FETCH-LOGICAL-c425t-14cda2fd50cf99a3881516d0fdf2701696998fe91b978274b96691c66f1fcde43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,860,27901,27902</link.rule.ids></links><search><creatorcontrib>Bartík, Martin</creatorcontrib><creatorcontrib>Holko, Ladislav</creatorcontrib><creatorcontrib>Jančo, Martin</creatorcontrib><creatorcontrib>Škvarenina, Jaroslav</creatorcontrib><creatorcontrib>Danko, Michal</creatorcontrib><creatorcontrib>Kostka, Zdeněk</creatorcontrib><title>Influence of Mountain Spruce Forest Dieback on Snow Accumulation and Melt</title><title>Journal of Hydrology and Hydromechanics</title><description>Large-scale forest dieback was reported in recent decades in many parts of the world. In Slovakia, the most endangered species is Norway spruce (Picea Abies). Spruce dieback affects also indigenous mountain forests. We analysed changes in snow cover characteristics in the disturbed spruce forest representing the tree line zone (1420 m a.s.l.) in the Western Tatra Mountains, Slovakia, in five winter seasons 2013-2017. Snow depth, density and water equivalent (SWE) were measured biweekly (10-12 times per winter) at four sites representing the living forest (Living), disturbed forest with dead trees (Dead), forest opening (Open) and large open area outside the forest (Meadow). The data confirmed statistically significant differences in snow depth between the living and disturbed forest. These differences increased since the third winter after forest dieback. The differences in snow density between the disturbed and living forest were in most cases not significant. Variability of snow density expressed by coefficient of variation was approximately half that of the snow depth. Forest dieback resulted in a significant increase (about 25%) of the water amount stored in the snow while the snowmelt characteristics (snowmelt beginning and time of snow disappearance) did not change much. Average SWE calculated for all measurements conducted during five winters increased in the sequence Living < Dead < Meadow < Open. SWE variability expressed by the coefficient of variation increased in the opposite order.</description><subject>Coefficient of variation</subject><subject>degree-day model</subject><subject>Density</subject><subject>Depth</subject><subject>Dieback</subject><subject>Endangered species</subject><subject>Evergreen trees</subject><subject>forest dieback</subject><subject>Forests</subject><subject>Mathematical analysis</subject><subject>Meadows</subject><subject>Mountain forests</subject><subject>Mountains</subject><subject>norway spruce</subject><subject>Pine trees</subject><subject>Rare species</subject><subject>Snow</subject><subject>Snow accumulation</subject><subject>snow characteristics</subject><subject>Snow cover</subject><subject>Snow density</subject><subject>Snow depth</subject><subject>Snowmelt</subject><subject>Statistical analysis</subject><subject>Treeline</subject><subject>Variability</subject><subject>Water depth</subject><subject>Winter</subject><issn>0042-790X</issn><issn>0042-790X</issn><issn>1338-4333</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNpNkMtLw0AQxhdRsFavngOeU3cnm30cS30FWjyo4G3Z7MMmptm6SRD_exMr4mmGbz6-mfkhdEnwAigX13XYblPARKQYAxyhGcYUUi7x6_G__hSddV2NMcuBwwwVReubwbXGJcEnmzC0va7a5Gkfh1G6C9F1fXJTuVKb9ySMgzZ8Jktjht3Q6L4aFd3aZOOa_hydeN107uK3ztHL3e3z6iFdP94Xq-U6NRTyPiXUWA3e5th4KXUmBMkJs9hbDxwTJpmUwjtJSskFcFpKxiQxjHnijXU0m6PikGuDrtU-Vjsdv1TQlfoRQnxTOvaVaZySwIUvvcRCczpuFExYsJpbTp0HC2PW1SFrH8PHML6q6jDEdjxfAWECE06zbHQtDi4TQ9dF5_-2Eqwm9GpCryb0akKffQOTpnYC</recordid><startdate>20190301</startdate><enddate>20190301</enddate><creator>Bartík, Martin</creator><creator>Holko, Ladislav</creator><creator>Jančo, Martin</creator><creator>Škvarenina, Jaroslav</creator><creator>Danko, Michal</creator><creator>Kostka, Zdeněk</creator><general>De Gruyter Poland</general><general>Sciendo</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</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>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>S0W</scope><scope>DOA</scope></search><sort><creationdate>20190301</creationdate><title>Influence of Mountain Spruce Forest Dieback on Snow Accumulation and Melt</title><author>Bartík, Martin ; Holko, Ladislav ; Jančo, Martin ; Škvarenina, Jaroslav ; Danko, Michal ; Kostka, Zdeněk</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c425t-14cda2fd50cf99a3881516d0fdf2701696998fe91b978274b96691c66f1fcde43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Coefficient of variation</topic><topic>degree-day model</topic><topic>Density</topic><topic>Depth</topic><topic>Dieback</topic><topic>Endangered species</topic><topic>Evergreen trees</topic><topic>forest dieback</topic><topic>Forests</topic><topic>Mathematical analysis</topic><topic>Meadows</topic><topic>Mountain forests</topic><topic>Mountains</topic><topic>norway spruce</topic><topic>Pine trees</topic><topic>Rare species</topic><topic>Snow</topic><topic>Snow accumulation</topic><topic>snow characteristics</topic><topic>Snow cover</topic><topic>Snow density</topic><topic>Snow depth</topic><topic>Snowmelt</topic><topic>Statistical analysis</topic><topic>Treeline</topic><topic>Variability</topic><topic>Water depth</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bartík, Martin</creatorcontrib><creatorcontrib>Holko, Ladislav</creatorcontrib><creatorcontrib>Jančo, Martin</creatorcontrib><creatorcontrib>Škvarenina, Jaroslav</creatorcontrib><creatorcontrib>Danko, Michal</creatorcontrib><creatorcontrib>Kostka, Zdeněk</creatorcontrib><collection>CrossRef</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & 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>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content 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>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>DELNET Engineering & Technology Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Journal of Hydrology and Hydromechanics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bartík, Martin</au><au>Holko, Ladislav</au><au>Jančo, Martin</au><au>Škvarenina, Jaroslav</au><au>Danko, Michal</au><au>Kostka, Zdeněk</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of Mountain Spruce Forest Dieback on Snow Accumulation and Melt</atitle><jtitle>Journal of Hydrology and Hydromechanics</jtitle><date>2019-03-01</date><risdate>2019</risdate><volume>67</volume><issue>1</issue><spage>59</spage><epage>69</epage><pages>59-69</pages><issn>0042-790X</issn><eissn>0042-790X</eissn><eissn>1338-4333</eissn><abstract>Large-scale forest dieback was reported in recent decades in many parts of the world. In Slovakia, the most endangered species is Norway spruce (Picea Abies). Spruce dieback affects also indigenous mountain forests. We analysed changes in snow cover characteristics in the disturbed spruce forest representing the tree line zone (1420 m a.s.l.) in the Western Tatra Mountains, Slovakia, in five winter seasons 2013-2017. Snow depth, density and water equivalent (SWE) were measured biweekly (10-12 times per winter) at four sites representing the living forest (Living), disturbed forest with dead trees (Dead), forest opening (Open) and large open area outside the forest (Meadow). The data confirmed statistically significant differences in snow depth between the living and disturbed forest. These differences increased since the third winter after forest dieback. The differences in snow density between the disturbed and living forest were in most cases not significant. Variability of snow density expressed by coefficient of variation was approximately half that of the snow depth. Forest dieback resulted in a significant increase (about 25%) of the water amount stored in the snow while the snowmelt characteristics (snowmelt beginning and time of snow disappearance) did not change much. Average SWE calculated for all measurements conducted during five winters increased in the sequence Living < Dead < Meadow < Open. SWE variability expressed by the coefficient of variation increased in the opposite order.</abstract><cop>Bratislava</cop><pub>De Gruyter Poland</pub><doi>10.2478/johh-2018-0022</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Coefficient of variation degree-day model Density Depth Dieback Endangered species Evergreen trees forest dieback Forests Mathematical analysis Meadows Mountain forests Mountains norway spruce Pine trees Rare species Snow Snow accumulation snow characteristics Snow cover Snow density Snow depth Snowmelt Statistical analysis Treeline Variability Water depth Winter |
title | Influence of Mountain Spruce Forest Dieback on Snow Accumulation and Melt |
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