globalchange  > 气候减缓与适应
DOI: 10.1002/2014GL059474
论文题名:
Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model
作者: Weckström J.; Hanhijärvi S.; Forsström L.; Kuusisto E.; Korhola A.
刊名: Geophysical Research Letters
ISSN: 0094-10263
EISSN: 1944-9994
出版年: 2014
卷: 41, 期:6
起始页码: 2026
结束页码: 2032
语种: 英语
英文关键词: diatoms ; ice cover ; paleoclimate ; quantitative reconstruction ; subarctic lakes
Scopus关键词: Lakes ; Air temperature ; Climate warming ; diatoms ; Early Holocene ; Ice cover ; Inference models ; Paleoclimates ; Sensitive area ; Ice ; air temperature ; diatom ; Holocene ; ice cover ; lacustrine environment ; reconstruction ; sediment analysis ; subarctic region ; Bacillariophyta
英文摘要: 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. © 2014. American Geophysical Union. All Rights Reserved.
URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84896588241&doi=10.1002%2f2014GL059474&partnerID=40&md5=1867f449c319d991a94c3e3cdb4c9b34
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/7527
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作者单位: Environmental Change Research Unit (ECRU), Department of Environmental Sciences, University of Helsinki, Helsinki, Finland

Recommended Citation:
Weckström J.,Hanhijärvi S.,Forsström L.,et al. Reconstructing lake ice cover in subarctic lakes using a diatom-based inference model[J]. Geophysical Research Letters,2014-01-01,41(6).
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