Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals

The observed global warming has significant impacts on permafrost. Permafrost changes modify landscapes and cause damage to infrastructure. The main purpose of this study was to estimate permafrost temperatures and active-layer thicknesses during the Holocene intervals with significantly warmer-than...

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Main Authors: Alexander N. Fedorov, Varvara A. Novopriezzhaya, Nikolay A. Fedorov, Pavel Y. Konstantinov, Vera V. Samsonova
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Land
Subjects:
Online Access:https://www.mdpi.com/2073-445X/9/11/463
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spelling doaj-561d457a07bc4d88a28e8ae947a7461d2020-11-25T04:03:29ZengMDPI AGLand2073-445X2020-11-01946346310.3390/land9110463Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm IntervalsAlexander N. Fedorov0Varvara A. Novopriezzhaya1Nikolay A. Fedorov2Pavel Y. Konstantinov3Vera V. Samsonova4Melnikov Permafrost Institute SB RAS, 677010 Yakutsk, RussiaMelnikov Permafrost Institute SB RAS, 677010 Yakutsk, RussiaMelnikov Permafrost Institute SB RAS, 677010 Yakutsk, RussiaMelnikov Permafrost Institute SB RAS, 677010 Yakutsk, RussiaMelnikov Permafrost Institute SB RAS, 677010 Yakutsk, RussiaThe observed global warming has significant impacts on permafrost. Permafrost changes modify landscapes and cause damage to infrastructure. The main purpose of this study was to estimate permafrost temperatures and active-layer thicknesses during the Holocene intervals with significantly warmer-than-present climates—the Atlantic (5500 years BP), Subboreal (3500 years BP) and Subatlantic (1000 years BP) optimums. Estimates were obtained using the ready-to-use models derived by G.M. Feldman, as well as mathematical modeling taking account of the paleogeography of the Holocene warm intervals. The data obtained were analyzed to reveal the regional patterns of warming impacts on different permafrost landscapes. The study results will be useful in predicting future permafrost changes in response to climate warming.https://www.mdpi.com/2073-445X/9/11/463permafrost landscapeHolocenewarmingpermafrost temperatureactive-layer thicknessmodeling
collection DOAJ
language English
format Article
sources DOAJ
author Alexander N. Fedorov
Varvara A. Novopriezzhaya
Nikolay A. Fedorov
Pavel Y. Konstantinov
Vera V. Samsonova
spellingShingle Alexander N. Fedorov
Varvara A. Novopriezzhaya
Nikolay A. Fedorov
Pavel Y. Konstantinov
Vera V. Samsonova
Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals
Land
permafrost landscape
Holocene
warming
permafrost temperature
active-layer thickness
modeling
author_facet Alexander N. Fedorov
Varvara A. Novopriezzhaya
Nikolay A. Fedorov
Pavel Y. Konstantinov
Vera V. Samsonova
author_sort Alexander N. Fedorov
title Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals
title_short Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals
title_full Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals
title_fullStr Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals
title_full_unstemmed Retrospective Analysis of Permafrost Landscape Evolution in Yakutia during the Holocene Warm Intervals
title_sort retrospective analysis of permafrost landscape evolution in yakutia during the holocene warm intervals
publisher MDPI AG
series Land
issn 2073-445X
publishDate 2020-11-01
description The observed global warming has significant impacts on permafrost. Permafrost changes modify landscapes and cause damage to infrastructure. The main purpose of this study was to estimate permafrost temperatures and active-layer thicknesses during the Holocene intervals with significantly warmer-than-present climates—the Atlantic (5500 years BP), Subboreal (3500 years BP) and Subatlantic (1000 years BP) optimums. Estimates were obtained using the ready-to-use models derived by G.M. Feldman, as well as mathematical modeling taking account of the paleogeography of the Holocene warm intervals. The data obtained were analyzed to reveal the regional patterns of warming impacts on different permafrost landscapes. The study results will be useful in predicting future permafrost changes in response to climate warming.
topic permafrost landscape
Holocene
warming
permafrost temperature
active-layer thickness
modeling
url https://www.mdpi.com/2073-445X/9/11/463
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