Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model
A new quantitative diatom‐based lake ice cover inference model was developed to reconstruct past ice cover histories and applied to four subarctic lakes. The used ice cover model is based on a calculated melting degree day value of +130 and a freezing degree day value of −30 for each lake. The recon...
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| Veröffentlicht in: | Geophysical research letters 2014-03, Vol.41 (6), p.2026-2032 |
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| container_end_page | 2032 |
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| container_issue | 6 |
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| container_title | Geophysical research letters |
| container_volume | 41 |
| creator | Weckström, Jan Hanhijärvi, Sami Forsström, Laura Kuusisto, Esko Korhola, Atte |
| description | A new quantitative diatom‐based lake ice cover inference model was developed to reconstruct past ice cover histories and applied to four subarctic lakes. The used ice cover model is based on a calculated melting degree day value of +130 and a freezing degree day value of −30 for each lake. The reconstructed Holocene ice cover duration histories show similar trends to the independently reconstructed regional air temperature history. The ice cover duration was around 7 days shorter than the average ice cover duration during the warmer early Holocene (approximately 10 to 6.5 calibrated kyr B.P.) and around 3–5 days longer during the cool Little Ice Age (approximately 500 to 100 calibrated yr B.P.). Although the recent climate warming is represented by only 2–3 samples in the sediment series, these show a rising trend in the prolonged ice‐free periods of up to 2 days. Diatom‐based ice cover inference models can provide a powerful tool to reconstruct past ice cover histories in remote and sensitive areas where no measured data are available.
Key Points
A quantitative diatom‐based ice‐cover model has been created
Inferred past ice‐cover trends are similar to the regional climate history
Diatoms can provide a valuable tool to reconstruct past ice‐cover regimes |
| doi_str_mv | 10.1002/2014GL059474 |
| format | Article |
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Key Points
A quantitative diatom‐based ice‐cover model has been created
Inferred past ice‐cover trends are similar to the regional climate history
Diatoms can provide a valuable tool to reconstruct past ice‐cover regimes</description><identifier>ISSN: 0094-8276</identifier><identifier>EISSN: 1944-8007</identifier><identifier>DOI: 10.1002/2014GL059474</identifier><language>eng</language><publisher>Washington: Blackwell Publishing Ltd</publisher><subject>Air temperature ; Bacillariophyceae ; Climate ; Climate change ; diatoms ; Freezing ; Freshwater ; Global warming ; Holocene ; Ice ; Ice ages ; Ice cover ; Ice-free periods ; Inference ; Lake ice ; Lakes ; paleoclimate ; Plankton ; quantitative reconstruction ; Regional ; subarctic lakes ; Trends</subject><ispartof>Geophysical research letters, 2014-03, Vol.41 (6), p.2026-2032</ispartof><rights>2014. American Geophysical Union. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a3962-78ad348edb7381840d7ef129a19554b17f0c5bb5554e4d346e92b76b7cbb96d23</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2F2014GL059474$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2F2014GL059474$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,1434,11519,27929,27930,45579,45580,46414,46473,46838,46897</link.rule.ids></links><search><creatorcontrib>Weckström, Jan</creatorcontrib><creatorcontrib>Hanhijärvi, Sami</creatorcontrib><creatorcontrib>Forsström, Laura</creatorcontrib><creatorcontrib>Kuusisto, Esko</creatorcontrib><creatorcontrib>Korhola, Atte</creatorcontrib><title>Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model</title><title>Geophysical research letters</title><addtitle>Geophys. Res. Lett</addtitle><description>A new quantitative diatom‐based lake ice cover inference model was developed to reconstruct past ice cover histories and applied to four subarctic lakes. The used ice cover model is based on a calculated melting degree day value of +130 and a freezing degree day value of −30 for each lake. The reconstructed Holocene ice cover duration histories show similar trends to the independently reconstructed regional air temperature history. The ice cover duration was around 7 days shorter than the average ice cover duration during the warmer early Holocene (approximately 10 to 6.5 calibrated kyr B.P.) and around 3–5 days longer during the cool Little Ice Age (approximately 500 to 100 calibrated yr B.P.). Although the recent climate warming is represented by only 2–3 samples in the sediment series, these show a rising trend in the prolonged ice‐free periods of up to 2 days. Diatom‐based ice cover inference models can provide a powerful tool to reconstruct past ice cover histories in remote and sensitive areas where no measured data are available.
Key Points
A quantitative diatom‐based ice‐cover model has been created
Inferred past ice‐cover trends are similar to the regional climate history
Diatoms can provide a valuable tool to reconstruct past ice‐cover regimes</description><subject>Air temperature</subject><subject>Bacillariophyceae</subject><subject>Climate</subject><subject>Climate change</subject><subject>diatoms</subject><subject>Freezing</subject><subject>Freshwater</subject><subject>Global warming</subject><subject>Holocene</subject><subject>Ice</subject><subject>Ice ages</subject><subject>Ice cover</subject><subject>Ice-free periods</subject><subject>Inference</subject><subject>Lake ice</subject><subject>Lakes</subject><subject>paleoclimate</subject><subject>Plankton</subject><subject>quantitative reconstruction</subject><subject>Regional</subject><subject>subarctic lakes</subject><subject>Trends</subject><issn>0094-8276</issn><issn>1944-8007</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFkU1P20AQhlcVSA2ht_4AS71wMcx-e49tgFDJKggRpepltWtPKoNjh127wL9nk1RVxYXTzGiedz4J-UzhlAKwMwZUzEuQRmjxgUyoESIvAPQBmQCY5DOtPpKjGO8BgAOnE7K4xarv4hDGami631nrHjBrKsyq_g-GrOmyOHoXUrLa5WI2xi3nsrpxQ7_OvYtYJ26FAbukW_c1tsfkcOXaiJ_-2ilZXF7cza7y8nr-ffa1zB03iuW6cDUXBdZe84IWAmqNK8qMo0ZK4aleQSW9lylAkUiFhnmtvK68N6pmfEpO9nU3oX8cMQ523cQK29Z12I_RUiUYp5Ip-j4qGXBFwRQJ_fIGve_H0KVFdgVBpePpRLE99dS0-GI3oVm78GIp2O0v7P-_sPPbUqYG24HzvaiJAz7_E7nwYJXmWtrlj7n9Vi7VT33-y97wV6SHiwA</recordid><startdate>20140328</startdate><enddate>20140328</enddate><creator>Weckström, Jan</creator><creator>Hanhijärvi, Sami</creator><creator>Forsström, Laura</creator><creator>Kuusisto, Esko</creator><creator>Korhola, Atte</creator><general>Blackwell Publishing Ltd</general><general>John Wiley & Sons, Inc</general><scope>BSCLL</scope><scope>7TG</scope><scope>7TN</scope><scope>8FD</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>7QH</scope><scope>7ST</scope><scope>7U6</scope><scope>7UA</scope><scope>C1K</scope><scope>M7N</scope><scope>7SM</scope></search><sort><creationdate>20140328</creationdate><title>Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model</title><author>Weckström, Jan ; Hanhijärvi, Sami ; Forsström, Laura ; Kuusisto, Esko ; Korhola, Atte</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a3962-78ad348edb7381840d7ef129a19554b17f0c5bb5554e4d346e92b76b7cbb96d23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Air temperature</topic><topic>Bacillariophyceae</topic><topic>Climate</topic><topic>Climate change</topic><topic>diatoms</topic><topic>Freezing</topic><topic>Freshwater</topic><topic>Global warming</topic><topic>Holocene</topic><topic>Ice</topic><topic>Ice ages</topic><topic>Ice cover</topic><topic>Ice-free periods</topic><topic>Inference</topic><topic>Lake ice</topic><topic>Lakes</topic><topic>paleoclimate</topic><topic>Plankton</topic><topic>quantitative reconstruction</topic><topic>Regional</topic><topic>subarctic lakes</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Weckström, Jan</creatorcontrib><creatorcontrib>Hanhijärvi, Sami</creatorcontrib><creatorcontrib>Forsström, Laura</creatorcontrib><creatorcontrib>Kuusisto, Esko</creatorcontrib><creatorcontrib>Korhola, Atte</creatorcontrib><collection>Istex</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Technology Research Database</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Earthquake Engineering Abstracts</collection><jtitle>Geophysical research letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Weckström, Jan</au><au>Hanhijärvi, Sami</au><au>Forsström, Laura</au><au>Kuusisto, Esko</au><au>Korhola, Atte</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model</atitle><jtitle>Geophysical research letters</jtitle><addtitle>Geophys. Res. Lett</addtitle><date>2014-03-28</date><risdate>2014</risdate><volume>41</volume><issue>6</issue><spage>2026</spage><epage>2032</epage><pages>2026-2032</pages><issn>0094-8276</issn><eissn>1944-8007</eissn><abstract>A new quantitative diatom‐based lake ice cover inference model was developed to reconstruct past ice cover histories and applied to four subarctic lakes. The used ice cover model is based on a calculated melting degree day value of +130 and a freezing degree day value of −30 for each lake. The reconstructed Holocene ice cover duration histories show similar trends to the independently reconstructed regional air temperature history. The ice cover duration was around 7 days shorter than the average ice cover duration during the warmer early Holocene (approximately 10 to 6.5 calibrated kyr B.P.) and around 3–5 days longer during the cool Little Ice Age (approximately 500 to 100 calibrated yr B.P.). Although the recent climate warming is represented by only 2–3 samples in the sediment series, these show a rising trend in the prolonged ice‐free periods of up to 2 days. Diatom‐based ice cover inference models can provide a powerful tool to reconstruct past ice cover histories in remote and sensitive areas where no measured data are available.
Key Points
A quantitative diatom‐based ice‐cover model has been created
Inferred past ice‐cover trends are similar to the regional climate history
Diatoms can provide a valuable tool to reconstruct past ice‐cover regimes</abstract><cop>Washington</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1002/2014GL059474</doi><tpages>7</tpages></addata></record> |
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| source | Wiley Online Library - AutoHoldings Journals; Wiley-Blackwell AGU Digital Library; EZB-FREE-00999 freely available EZB journals; Wiley Online Library (Open Access Collection) |
| subjects | Air temperature Bacillariophyceae Climate Climate change diatoms Freezing Freshwater Global warming Holocene Ice Ice ages Ice cover Ice-free periods Inference Lake ice Lakes paleoclimate Plankton quantitative reconstruction Regional subarctic lakes Trends |
| title | Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model |
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