High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra
Abstract: " Soil organic carbon (SOC) in Arctic coastal polygonal tundra is vulnerable to climate change, especially in soils with occurrence of large amounts of ground ice. Pan-arctic studies of mapping SOC exist, yet they fail to describe the high spatial variability of SOC storage in permafr...
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Online Access: | https://doi.org/10.1016/j.geoderma.2023.116652 |
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ftzenodo:oai:zenodo.org:8335242 2024-09-15T17:58:50+00:00 High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra Wagner, Julia Martin, Victoria Speetjens, Niek J. A'Campo, Willeke Durstewitz, Luca Lodi, Rachele Fritz, Michael Tanski, George Vonk, Jorien E. Richter, Andreas Bartsch, Annett Lantuit, Hugues Hugelius, Gustaf 2023-09-04 https://doi.org/10.1016/j.geoderma.2023.116652 eng eng Zenodo https://zenodo.org/communities/nunataryuk https://doi.org/10.1016/j.geoderma.2023.116652 oai:zenodo.org:8335242 info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode Geoderma, 438(116652), (2023-09-04) Random forest Machine learning Soil organic carbon Tundra Permafrost info:eu-repo/semantics/article 2023 ftzenodo https://doi.org/10.1016/j.geoderma.2023.116652 2024-07-26T02:08:55Z Abstract: " Soil organic carbon (SOC) in Arctic coastal polygonal tundra is vulnerable to climate change, especially in soils with occurrence of large amounts of ground ice. Pan-arctic studies of mapping SOC exist, yet they fail to describe the high spatial variability of SOC storage in permafrost landscapes. An important factor is the landscape history which determines landform development and consequently the spatial variability of SOC. Our aim was to map SOC stocks, and which environmental variables that determine SOC, in two adjacent coastal areas along Canadian Beaufort Sea coast with different glacial history. We used the machine learning technique random forest and environmental variables to map the spatial distribution of SOC stocks down to 1m depth at a spatial resolution of 2m for depth increments of 0–5, 5–15, 15–30, 30–60 and 60–100cm. The results show that the two study areas had large differences in SOC stocks in the depth 60–100cm due to high amounts of ground ice in one of the study areas. There are also differences in variable importance of the explanatory variables between the two areas. The area low in ground ice content had with 66.6kg C/m −2 more stored SOC than the area rich in ground ice content with 40.0kg C/m −2 . However, this SOC stock could be potentially more vulnerable to climate change if ground ice melts and the ground subsides. The average N stock of the area low in ground ice is 3.77kgm −2 and of the area rich in ground ice is 3.83kgm −2 . These findings support that there is a strong correlation between ground ice and SOC, with less SOC in ice-rich layers on a small scale. In addition to small scale studies of SOC mapping, detailed maps of ground ice content and distribution are needed for a validation of large-scale quantifications of SOC stocks and transferability of models." Article in Journal/Newspaper Beaufort Sea Climate change Ice permafrost Tundra Zenodo Geoderma 438 116652 |
institution |
Open Polar |
collection |
Zenodo |
op_collection_id |
ftzenodo |
language |
English |
topic |
Random forest Machine learning Soil organic carbon Tundra Permafrost |
spellingShingle |
Random forest Machine learning Soil organic carbon Tundra Permafrost Wagner, Julia Martin, Victoria Speetjens, Niek J. A'Campo, Willeke Durstewitz, Luca Lodi, Rachele Fritz, Michael Tanski, George Vonk, Jorien E. Richter, Andreas Bartsch, Annett Lantuit, Hugues Hugelius, Gustaf High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra |
topic_facet |
Random forest Machine learning Soil organic carbon Tundra Permafrost |
description |
Abstract: " Soil organic carbon (SOC) in Arctic coastal polygonal tundra is vulnerable to climate change, especially in soils with occurrence of large amounts of ground ice. Pan-arctic studies of mapping SOC exist, yet they fail to describe the high spatial variability of SOC storage in permafrost landscapes. An important factor is the landscape history which determines landform development and consequently the spatial variability of SOC. Our aim was to map SOC stocks, and which environmental variables that determine SOC, in two adjacent coastal areas along Canadian Beaufort Sea coast with different glacial history. We used the machine learning technique random forest and environmental variables to map the spatial distribution of SOC stocks down to 1m depth at a spatial resolution of 2m for depth increments of 0–5, 5–15, 15–30, 30–60 and 60–100cm. The results show that the two study areas had large differences in SOC stocks in the depth 60–100cm due to high amounts of ground ice in one of the study areas. There are also differences in variable importance of the explanatory variables between the two areas. The area low in ground ice content had with 66.6kg C/m −2 more stored SOC than the area rich in ground ice content with 40.0kg C/m −2 . However, this SOC stock could be potentially more vulnerable to climate change if ground ice melts and the ground subsides. The average N stock of the area low in ground ice is 3.77kgm −2 and of the area rich in ground ice is 3.83kgm −2 . These findings support that there is a strong correlation between ground ice and SOC, with less SOC in ice-rich layers on a small scale. In addition to small scale studies of SOC mapping, detailed maps of ground ice content and distribution are needed for a validation of large-scale quantifications of SOC stocks and transferability of models." |
format |
Article in Journal/Newspaper |
author |
Wagner, Julia Martin, Victoria Speetjens, Niek J. A'Campo, Willeke Durstewitz, Luca Lodi, Rachele Fritz, Michael Tanski, George Vonk, Jorien E. Richter, Andreas Bartsch, Annett Lantuit, Hugues Hugelius, Gustaf |
author_facet |
Wagner, Julia Martin, Victoria Speetjens, Niek J. A'Campo, Willeke Durstewitz, Luca Lodi, Rachele Fritz, Michael Tanski, George Vonk, Jorien E. Richter, Andreas Bartsch, Annett Lantuit, Hugues Hugelius, Gustaf |
author_sort |
Wagner, Julia |
title |
High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra |
title_short |
High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra |
title_full |
High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra |
title_fullStr |
High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra |
title_full_unstemmed |
High resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in Canadian lowland tundra |
title_sort |
high resolution mapping shows differences in soil carbon and nitrogen stocks in areas of varying landscape history in canadian lowland tundra |
publisher |
Zenodo |
publishDate |
2023 |
url |
https://doi.org/10.1016/j.geoderma.2023.116652 |
genre |
Beaufort Sea Climate change Ice permafrost Tundra |
genre_facet |
Beaufort Sea Climate change Ice permafrost Tundra |
op_source |
Geoderma, 438(116652), (2023-09-04) |
op_relation |
https://zenodo.org/communities/nunataryuk https://doi.org/10.1016/j.geoderma.2023.116652 oai:zenodo.org:8335242 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode |
op_doi |
https://doi.org/10.1016/j.geoderma.2023.116652 |
container_title |
Geoderma |
container_volume |
438 |
container_start_page |
116652 |
_version_ |
1810435803796471808 |