Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation
Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale...
Published in: | Plant and Soil |
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Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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2019
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Online Access: | https://research.vu.nl/en/publications/f36776b6-7520-4c27-abce-1e2d974777e4 https://doi.org/10.1007/s11104-019-04276-7 https://hdl.handle.net/1871.1/f36776b6-7520-4c27-abce-1e2d974777e4 http://www.scopus.com/inward/record.url?scp=85071389337&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85071389337&partnerID=8YFLogxK |
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ftvuamstcris:oai:research.vu.nl:publications/f36776b6-7520-4c27-abce-1e2d974777e4 2024-04-28T08:09:26+00:00 Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation Wang, Peng de Jager, Judith Nauta, Ake van Huissteden, Jacobus Trofim, Maximov C. Limpens, Juul 2019-11-01 https://research.vu.nl/en/publications/f36776b6-7520-4c27-abce-1e2d974777e4 https://doi.org/10.1007/s11104-019-04276-7 https://hdl.handle.net/1871.1/f36776b6-7520-4c27-abce-1e2d974777e4 http://www.scopus.com/inward/record.url?scp=85071389337&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85071389337&partnerID=8YFLogxK eng eng https://research.vu.nl/en/publications/f36776b6-7520-4c27-abce-1e2d974777e4 info:eu-repo/semantics/closedAccess Wang , P , de Jager , J , Nauta , A , van Huissteden , J , Trofim , M C & Limpens , J 2019 , ' Exploring near-surface ground ice distribution in patterned-ground tundra : correlations with topography, soil and vegetation ' , Plant and Soil , vol. 444 , no. 1-2 , pp. 251-265 . https://doi.org/10.1007/s11104-019-04276-7 Arctic tundra Ground ice Permafrost degradation Polygon Thaw depth Vegetation /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action article 2019 ftvuamstcris https://doi.org/10.1007/s11104-019-04276-7 2024-04-02T17:50:21Z Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale topographic gradients in two drained lakebeds. We investigated which factors (vegetation, hydrological and soil) correlated strongest with ice content and explored its spatial heterogeneity at different scales (1 to 100 m). Results: The ice content was highest in the depressions of the wet lakebed and lowest at the slopes of the dry lakebed. In the wet lakebed the ice content increased with depth, while in the dry lakebed the vertical distribution depended on topographical position. Spatial variability in ice content was similar at different scales, stressing strong influence of local drivers. 0–60 cm ice content correlated strongest with soil moisture of the overlying unfrozen soil, while 0–20 cm ice content correlated strongest with vegetation characteristics. Conclusions: Our study implies that vegetation effect on microclimate is strong enough to affect near-surface ice distribution, and that ice-rich tundra may be highly sensitive to thaw once climate warming offsets the protective impact of vegetation. Article in Journal/Newspaper Arctic Ice permafrost Tundra Siberia Vrije Universiteit Amsterdam (VU): Research Portal Plant and Soil 444 1-2 251 265 |
institution |
Open Polar |
collection |
Vrije Universiteit Amsterdam (VU): Research Portal |
op_collection_id |
ftvuamstcris |
language |
English |
topic |
Arctic tundra Ground ice Permafrost degradation Polygon Thaw depth Vegetation /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
spellingShingle |
Arctic tundra Ground ice Permafrost degradation Polygon Thaw depth Vegetation /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action Wang, Peng de Jager, Judith Nauta, Ake van Huissteden, Jacobus Trofim, Maximov C. Limpens, Juul Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
topic_facet |
Arctic tundra Ground ice Permafrost degradation Polygon Thaw depth Vegetation /dk/atira/pure/sustainabledevelopmentgoals/climate_action name=SDG 13 - Climate Action |
description |
Aims: For informed predictions on the sensitivity of Arctic tundra landscape to permafrost thaw, we aimed to investigate the distribution pattern of near-surface ground ice and its influencing factors in Northeast Siberia. Methods: Near-surface permafrost cores (60 cm) were sampled along small-scale topographic gradients in two drained lakebeds. We investigated which factors (vegetation, hydrological and soil) correlated strongest with ice content and explored its spatial heterogeneity at different scales (1 to 100 m). Results: The ice content was highest in the depressions of the wet lakebed and lowest at the slopes of the dry lakebed. In the wet lakebed the ice content increased with depth, while in the dry lakebed the vertical distribution depended on topographical position. Spatial variability in ice content was similar at different scales, stressing strong influence of local drivers. 0–60 cm ice content correlated strongest with soil moisture of the overlying unfrozen soil, while 0–20 cm ice content correlated strongest with vegetation characteristics. Conclusions: Our study implies that vegetation effect on microclimate is strong enough to affect near-surface ice distribution, and that ice-rich tundra may be highly sensitive to thaw once climate warming offsets the protective impact of vegetation. |
format |
Article in Journal/Newspaper |
author |
Wang, Peng de Jager, Judith Nauta, Ake van Huissteden, Jacobus Trofim, Maximov C. Limpens, Juul |
author_facet |
Wang, Peng de Jager, Judith Nauta, Ake van Huissteden, Jacobus Trofim, Maximov C. Limpens, Juul |
author_sort |
Wang, Peng |
title |
Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
title_short |
Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
title_full |
Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
title_fullStr |
Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
title_full_unstemmed |
Exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
title_sort |
exploring near-surface ground ice distribution in patterned-ground tundra:correlations with topography, soil and vegetation |
publishDate |
2019 |
url |
https://research.vu.nl/en/publications/f36776b6-7520-4c27-abce-1e2d974777e4 https://doi.org/10.1007/s11104-019-04276-7 https://hdl.handle.net/1871.1/f36776b6-7520-4c27-abce-1e2d974777e4 http://www.scopus.com/inward/record.url?scp=85071389337&partnerID=8YFLogxK http://www.scopus.com/inward/citedby.url?scp=85071389337&partnerID=8YFLogxK |
genre |
Arctic Ice permafrost Tundra Siberia |
genre_facet |
Arctic Ice permafrost Tundra Siberia |
op_source |
Wang , P , de Jager , J , Nauta , A , van Huissteden , J , Trofim , M C & Limpens , J 2019 , ' Exploring near-surface ground ice distribution in patterned-ground tundra : correlations with topography, soil and vegetation ' , Plant and Soil , vol. 444 , no. 1-2 , pp. 251-265 . https://doi.org/10.1007/s11104-019-04276-7 |
op_relation |
https://research.vu.nl/en/publications/f36776b6-7520-4c27-abce-1e2d974777e4 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/s11104-019-04276-7 |
container_title |
Plant and Soil |
container_volume |
444 |
container_issue |
1-2 |
container_start_page |
251 |
op_container_end_page |
265 |
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1797577807433302016 |