Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015

The soil active layer in boreal forests is sensitive to climate warming. Climate-induced changes in the active layer may greatly affect the global carbon budget and planetary climatic system by releasing large quantities of greenhouse gases that currently are stored in permafrost. Ground surface tem...

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Published in:Remote Sensing
Main Authors: Xiongxiong Bai, Jian Yang, Bo Tao, Wei Ren
Format: Article in Journal/Newspaper
Language:English
Published: MDPI AG 2018
Subjects:
Q
Online Access:https://doi.org/10.3390/rs10081225
https://doaj.org/article/07aeb0c996a647289b2bcb7332a4dad4
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spelling ftdoajarticles:oai:doaj.org/article:07aeb0c996a647289b2bcb7332a4dad4 2023-05-15T13:03:05+02:00 Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015 Xiongxiong Bai Jian Yang Bo Tao Wei Ren 2018-08-01T00:00:00Z https://doi.org/10.3390/rs10081225 https://doaj.org/article/07aeb0c996a647289b2bcb7332a4dad4 EN eng MDPI AG http://www.mdpi.com/2072-4292/10/8/1225 https://doaj.org/toc/2072-4292 2072-4292 doi:10.3390/rs10081225 https://doaj.org/article/07aeb0c996a647289b2bcb7332a4dad4 Remote Sensing, Vol 10, Iss 8, p 1225 (2018) active layer thickness boreal forests remote sensing MODIS Science Q article 2018 ftdoajarticles https://doi.org/10.3390/rs10081225 2022-12-30T20:32:27Z The soil active layer in boreal forests is sensitive to climate warming. Climate-induced changes in the active layer may greatly affect the global carbon budget and planetary climatic system by releasing large quantities of greenhouse gases that currently are stored in permafrost. Ground surface temperature is an immediate driver of active layer thickness (ALT) dynamics. In this study, we mapped ALT distribution in Chinese boreal larch forests from 2000 to 2015 by integrating remote sensing data with the Stefan equation. We then examined the changes of the ALT in response to changes in ground surface temperature and identified drivers of the spatio-temporal patterns of ALT. Active layer thickness varied from 1.18 to 1.3 m in the study area. Areas of nonforested land and low elevation or with increased air temperature had a relatively high ALT, whereas ALT was lower at relatively high elevation and with decreased air temperatures. Interannual variations of ALT had no obvious trend, however, and the ALT changed at a rate of only −0.01 and 0.01 m year−1. In a mega-fire patch of 79,000 ha burned in 2003, ΔALT (ALTi − ALT2002, where 2003 ≤ i ≤ 2015) was significantly higher than in the unburned area, with the influence of the wildfire persisting 10 years. Under the high emission scenario (RCP8.5), an increase of 2.6–4.8 °C in mean air temperature would increase ALT into 1.46–1.55 m by 2100, which in turn would produce a significant positive feedback to climate warming. Article in Journal/Newspaper Active layer thickness permafrost Directory of Open Access Journals: DOAJ Articles Remote Sensing 10 8 1225
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic active layer thickness
boreal forests
remote sensing
MODIS
Science
Q
spellingShingle active layer thickness
boreal forests
remote sensing
MODIS
Science
Q
Xiongxiong Bai
Jian Yang
Bo Tao
Wei Ren
Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015
topic_facet active layer thickness
boreal forests
remote sensing
MODIS
Science
Q
description The soil active layer in boreal forests is sensitive to climate warming. Climate-induced changes in the active layer may greatly affect the global carbon budget and planetary climatic system by releasing large quantities of greenhouse gases that currently are stored in permafrost. Ground surface temperature is an immediate driver of active layer thickness (ALT) dynamics. In this study, we mapped ALT distribution in Chinese boreal larch forests from 2000 to 2015 by integrating remote sensing data with the Stefan equation. We then examined the changes of the ALT in response to changes in ground surface temperature and identified drivers of the spatio-temporal patterns of ALT. Active layer thickness varied from 1.18 to 1.3 m in the study area. Areas of nonforested land and low elevation or with increased air temperature had a relatively high ALT, whereas ALT was lower at relatively high elevation and with decreased air temperatures. Interannual variations of ALT had no obvious trend, however, and the ALT changed at a rate of only −0.01 and 0.01 m year−1. In a mega-fire patch of 79,000 ha burned in 2003, ΔALT (ALTi − ALT2002, where 2003 ≤ i ≤ 2015) was significantly higher than in the unburned area, with the influence of the wildfire persisting 10 years. Under the high emission scenario (RCP8.5), an increase of 2.6–4.8 °C in mean air temperature would increase ALT into 1.46–1.55 m by 2100, which in turn would produce a significant positive feedback to climate warming.
format Article in Journal/Newspaper
author Xiongxiong Bai
Jian Yang
Bo Tao
Wei Ren
author_facet Xiongxiong Bai
Jian Yang
Bo Tao
Wei Ren
author_sort Xiongxiong Bai
title Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015
title_short Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015
title_full Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015
title_fullStr Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015
title_full_unstemmed Spatio-Temporal Variations of Soil Active Layer Thickness in Chinese Boreal Forests from 2000 to 2015
title_sort spatio-temporal variations of soil active layer thickness in chinese boreal forests from 2000 to 2015
publisher MDPI AG
publishDate 2018
url https://doi.org/10.3390/rs10081225
https://doaj.org/article/07aeb0c996a647289b2bcb7332a4dad4
genre Active layer thickness
permafrost
genre_facet Active layer thickness
permafrost
op_source Remote Sensing, Vol 10, Iss 8, p 1225 (2018)
op_relation http://www.mdpi.com/2072-4292/10/8/1225
https://doaj.org/toc/2072-4292
2072-4292
doi:10.3390/rs10081225
https://doaj.org/article/07aeb0c996a647289b2bcb7332a4dad4
op_doi https://doi.org/10.3390/rs10081225
container_title Remote Sensing
container_volume 10
container_issue 8
container_start_page 1225
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