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...
Published in: | Environmental Research Letters |
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Main Authors: | , , , |
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Language: | English |
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2020
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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 |
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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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1802638923011194880 |