Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery

Changes in vegetation productivity based on normalized difference vegetation index (NDVI) have been reported from Arctic regions. Most studies use very coarse spatial resolution remote sensing data that cannot isolate landscape level factors. For example, on Yamal Peninsula in West Siberia enhanced...

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Published in:Environmental Research Letters
Main Authors: Verdonen, Mariana, Berner, Logan T., Forbes, Bruce C., Kumpula, Timo
Format: Article in Journal/Newspaper
Language:English
Published: 2020
Subjects:
Online Access:https://research.ulapland.fi/fi/publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b
https://doi.org/10.1088/1748-9326/abb500
https://lacris.ulapland.fi/ws/files/6690153/Verdonen_2020_Environ._Res._Lett._15_105020.pdf
id ftulaplandcdispu:oai:lacris.ulapland.fi:publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b
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spelling ftulaplandcdispu:oai:lacris.ulapland.fi:publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b 2024-06-23T07:48:33+00:00 Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery Verdonen, Mariana Berner, Logan T. Forbes, Bruce C. Kumpula, Timo 2020-10-09 application/pdf https://research.ulapland.fi/fi/publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b https://doi.org/10.1088/1748-9326/abb500 https://lacris.ulapland.fi/ws/files/6690153/Verdonen_2020_Environ._Res._Lett._15_105020.pdf eng eng https://research.ulapland.fi/fi/publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b info:eu-repo/semantics/openAccess Verdonen , M , Berner , L T , Forbes , B C & Kumpula , T 2020 , ' Periglacial vegetation dynamics in Arctic Russia : decadal analysis of tundra regeneration on landslides with time series satellite imagery ' , Environmental research letters , vol. 15 , no. 10 , 105020 . https://doi.org/10.1088/1748-9326/abb500 remote sensing Google Earth Engine Landsat tundra regeneration cryogenic landslides thermokarst NDVI /dk/atira/pure/person/fieldofscience2010/1/17/1 name=Geosciences /dk/atira/pure/person/fieldofscience2010/1/17/2 name=Environmental sciences article 2020 ftulaplandcdispu https://doi.org/10.1088/1748-9326/abb500 2024-05-27T23:39:57Z Changes in vegetation productivity based on normalized difference vegetation index (NDVI) have been reported from Arctic regions. Most studies use very coarse spatial resolution remote sensing data that cannot isolate landscape level factors. For example, on Yamal Peninsula in West Siberia enhanced willow growth has been linked to widespread landslide activity, but the effect of landslides on regional NDVI dynamics is unknown. Here we apply a novel satellite-based NDVI analysis to investigate the vegetation regeneration patterns of active-layer detachments following a major landslide event in 1989. We analyzed time series data of Landsat and very high-resolution (VHR) imagery from QuickBird-2 and WorldView-2 and 3 characterizing a study area of ca. 35 km2. Landsat revealed that natural regeneration of low Arctic tundra progressed rapidly during the first two decades after the landslide event. However, during the past decade, the difference between landslide shear surfaces and surrounding areas remained relatively unchanged despite the advance of vegetation succession. Time series also revealed that NDVI generally declined since 2013 within the study area. The VHR imagery allowed detection of NDVI change 'hot-spots' that included temporary degradation of vegetation cover, as well as new and expanding thaw slumps, which were too small to be detected from Landsat satellite data. Our study demonstrates that landslides can have pronounced and long-lasting impacts on tundra vegetation. Thermokarst landslides and associated impacts on vegetation will likely become increasingly common in NW Siberia and other Arctic regions with continued warming. Article in Journal/Newspaper Arctic Arctic Thermokarst Tundra Yamal Peninsula Siberia LaCRIS - University of Lapland Current Research System Arctic Yamal Peninsula ENVELOPE(69.873,69.873,70.816,70.816) Environmental Research Letters 15 10 105020
institution Open Polar
collection LaCRIS - University of Lapland Current Research System
op_collection_id ftulaplandcdispu
language English
topic remote sensing
Google Earth Engine
Landsat
tundra regeneration
cryogenic landslides
thermokarst
NDVI
/dk/atira/pure/person/fieldofscience2010/1/17/1
name=Geosciences
/dk/atira/pure/person/fieldofscience2010/1/17/2
name=Environmental sciences
spellingShingle remote sensing
Google Earth Engine
Landsat
tundra regeneration
cryogenic landslides
thermokarst
NDVI
/dk/atira/pure/person/fieldofscience2010/1/17/1
name=Geosciences
/dk/atira/pure/person/fieldofscience2010/1/17/2
name=Environmental sciences
Verdonen, Mariana
Berner, Logan T.
Forbes, Bruce C.
Kumpula, Timo
Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
topic_facet remote sensing
Google Earth Engine
Landsat
tundra regeneration
cryogenic landslides
thermokarst
NDVI
/dk/atira/pure/person/fieldofscience2010/1/17/1
name=Geosciences
/dk/atira/pure/person/fieldofscience2010/1/17/2
name=Environmental sciences
description Changes in vegetation productivity based on normalized difference vegetation index (NDVI) have been reported from Arctic regions. Most studies use very coarse spatial resolution remote sensing data that cannot isolate landscape level factors. For example, on Yamal Peninsula in West Siberia enhanced willow growth has been linked to widespread landslide activity, but the effect of landslides on regional NDVI dynamics is unknown. Here we apply a novel satellite-based NDVI analysis to investigate the vegetation regeneration patterns of active-layer detachments following a major landslide event in 1989. We analyzed time series data of Landsat and very high-resolution (VHR) imagery from QuickBird-2 and WorldView-2 and 3 characterizing a study area of ca. 35 km2. Landsat revealed that natural regeneration of low Arctic tundra progressed rapidly during the first two decades after the landslide event. However, during the past decade, the difference between landslide shear surfaces and surrounding areas remained relatively unchanged despite the advance of vegetation succession. Time series also revealed that NDVI generally declined since 2013 within the study area. The VHR imagery allowed detection of NDVI change 'hot-spots' that included temporary degradation of vegetation cover, as well as new and expanding thaw slumps, which were too small to be detected from Landsat satellite data. Our study demonstrates that landslides can have pronounced and long-lasting impacts on tundra vegetation. Thermokarst landslides and associated impacts on vegetation will likely become increasingly common in NW Siberia and other Arctic regions with continued warming.
format Article in Journal/Newspaper
author Verdonen, Mariana
Berner, Logan T.
Forbes, Bruce C.
Kumpula, Timo
author_facet Verdonen, Mariana
Berner, Logan T.
Forbes, Bruce C.
Kumpula, Timo
author_sort Verdonen, Mariana
title Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
title_short Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
title_full Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
title_fullStr Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
title_full_unstemmed Periglacial vegetation dynamics in Arctic Russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
title_sort periglacial vegetation dynamics in arctic russia:decadal analysis of tundra regeneration on landslides with time series satellite imagery
publishDate 2020
url https://research.ulapland.fi/fi/publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b
https://doi.org/10.1088/1748-9326/abb500
https://lacris.ulapland.fi/ws/files/6690153/Verdonen_2020_Environ._Res._Lett._15_105020.pdf
long_lat ENVELOPE(69.873,69.873,70.816,70.816)
geographic Arctic
Yamal Peninsula
geographic_facet Arctic
Yamal Peninsula
genre Arctic
Arctic
Thermokarst
Tundra
Yamal Peninsula
Siberia
genre_facet Arctic
Arctic
Thermokarst
Tundra
Yamal Peninsula
Siberia
op_source Verdonen , M , Berner , L T , Forbes , B C & Kumpula , T 2020 , ' Periglacial vegetation dynamics in Arctic Russia : decadal analysis of tundra regeneration on landslides with time series satellite imagery ' , Environmental research letters , vol. 15 , no. 10 , 105020 . https://doi.org/10.1088/1748-9326/abb500
op_relation https://research.ulapland.fi/fi/publications/eae2a9ce-07a1-4c85-be4c-2c9992472b2b
op_rights info:eu-repo/semantics/openAccess
op_doi https://doi.org/10.1088/1748-9326/abb500
container_title Environmental Research Letters
container_volume 15
container_issue 10
container_start_page 105020
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