High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments
Large amounts of carbon are stored in soils of the northern circumpolar permafrost region. High-resolution mapping of this soil organic carbon (SOC) is important to better understand and predict local to global scale carbon dynamics. In this thesis, studies from five different areas across the perma...
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Stockholms universitet, Institutionen för naturgeografi
2016
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ftstockholmuniv:oai:DiVA.org:su-134986 2023-05-15T14:54:28+02:00 High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments Siewert, Matthias Benjamin 2016 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134986 eng eng Stockholms universitet, Institutionen för naturgeografi Stockholm : Department of Physical Geography, Stockholm University Dissertations from the Department of Physical Geography, 1653-7211 60 info:eu-repo/grantAgreement/EC/FP7/282700 orcid:0000-0003-2890-8873 http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134986 urn:isbn:978-91-7649-529-2 urn:isbn:978-91-7649-530-8 info:eu-repo/semantics/openAccess carbon soil organic carbon permafrost soil land cover classification digital soil mapping machine-learning ecosystem mapping landscape studies Siberia Arctic Physical Geography Naturgeografi Doctoral thesis, comprehensive summary info:eu-repo/semantics/doctoralThesis text 2016 ftstockholmuniv 2023-02-23T21:43:36Z Large amounts of carbon are stored in soils of the northern circumpolar permafrost region. High-resolution mapping of this soil organic carbon (SOC) is important to better understand and predict local to global scale carbon dynamics. In this thesis, studies from five different areas across the permafrost region indicate a pattern of generally higher SOC storage in Arctic tundra soils compared to forested sub-Arctic or Boreal taiga soils. However, much of the SOC stored in the top meter of tundra soils is permanently frozen, while the annually thawing active layer is deeper in taiga soils and more SOC may be available for turnover to ecosystem processes. The results show that significantly more carbon is stored in soils compared to vegetation, even in fully forested taiga ecosystems. This indicates that over longer timescales, the SOC potentially released from thawing permafrost cannot be offset by a greening of the Arctic. For all study areas, the SOC distribution is strongly influenced by the geomorphology, i.e. periglacial landforms and processes, at different spatial scales. These span from the cryoturbation of soil horizons, to the formation of palsas, peat plateaus and different generations of ice-wedges, to thermokarst creating kilometer scale macro environments. In study areas that have not been affected by Pleistocene glaciation, SOC distribution is highly influenced by the occurrence of ice-rich and relief-forming Yedoma deposits. This thesis investigates the use of thematic maps from highly resolved satellite imagery (<6.5 m resolution). These maps reveal important information on the local distribution and variability of SOC, but their creation requires advanced classification methods including an object-based approach, modern classifiers and data-fusion. The results of statistical analyses show a clear link of land cover and geomorphology with SOC storage. Peat-formation and cryoturbation are identified as two major mechanisms to accumulate SOC. As an alternative to thematic maps, this thesis ... Doctoral or Postdoctoral Thesis Arctic Ice palsas Peat permafrost taiga Thermokarst Tundra wedge* Siberia Stockholm University: Publications (DiVA) Arctic |
institution |
Open Polar |
collection |
Stockholm University: Publications (DiVA) |
op_collection_id |
ftstockholmuniv |
language |
English |
topic |
carbon soil organic carbon permafrost soil land cover classification digital soil mapping machine-learning ecosystem mapping landscape studies Siberia Arctic Physical Geography Naturgeografi |
spellingShingle |
carbon soil organic carbon permafrost soil land cover classification digital soil mapping machine-learning ecosystem mapping landscape studies Siberia Arctic Physical Geography Naturgeografi Siewert, Matthias Benjamin High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
topic_facet |
carbon soil organic carbon permafrost soil land cover classification digital soil mapping machine-learning ecosystem mapping landscape studies Siberia Arctic Physical Geography Naturgeografi |
description |
Large amounts of carbon are stored in soils of the northern circumpolar permafrost region. High-resolution mapping of this soil organic carbon (SOC) is important to better understand and predict local to global scale carbon dynamics. In this thesis, studies from five different areas across the permafrost region indicate a pattern of generally higher SOC storage in Arctic tundra soils compared to forested sub-Arctic or Boreal taiga soils. However, much of the SOC stored in the top meter of tundra soils is permanently frozen, while the annually thawing active layer is deeper in taiga soils and more SOC may be available for turnover to ecosystem processes. The results show that significantly more carbon is stored in soils compared to vegetation, even in fully forested taiga ecosystems. This indicates that over longer timescales, the SOC potentially released from thawing permafrost cannot be offset by a greening of the Arctic. For all study areas, the SOC distribution is strongly influenced by the geomorphology, i.e. periglacial landforms and processes, at different spatial scales. These span from the cryoturbation of soil horizons, to the formation of palsas, peat plateaus and different generations of ice-wedges, to thermokarst creating kilometer scale macro environments. In study areas that have not been affected by Pleistocene glaciation, SOC distribution is highly influenced by the occurrence of ice-rich and relief-forming Yedoma deposits. This thesis investigates the use of thematic maps from highly resolved satellite imagery (<6.5 m resolution). These maps reveal important information on the local distribution and variability of SOC, but their creation requires advanced classification methods including an object-based approach, modern classifiers and data-fusion. The results of statistical analyses show a clear link of land cover and geomorphology with SOC storage. Peat-formation and cryoturbation are identified as two major mechanisms to accumulate SOC. As an alternative to thematic maps, this thesis ... |
format |
Doctoral or Postdoctoral Thesis |
author |
Siewert, Matthias Benjamin |
author_facet |
Siewert, Matthias Benjamin |
author_sort |
Siewert, Matthias Benjamin |
title |
High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
title_short |
High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
title_full |
High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
title_fullStr |
High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
title_full_unstemmed |
High-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
title_sort |
high-resolution mapping and spatial variability of soil organic carbon storage in permafrost environments |
publisher |
Stockholms universitet, Institutionen för naturgeografi |
publishDate |
2016 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134986 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Ice palsas Peat permafrost taiga Thermokarst Tundra wedge* Siberia |
genre_facet |
Arctic Ice palsas Peat permafrost taiga Thermokarst Tundra wedge* Siberia |
op_relation |
Dissertations from the Department of Physical Geography, 1653-7211 60 info:eu-repo/grantAgreement/EC/FP7/282700 orcid:0000-0003-2890-8873 http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-134986 urn:isbn:978-91-7649-529-2 urn:isbn:978-91-7649-530-8 |
op_rights |
info:eu-repo/semantics/openAccess |
_version_ |
1766326193885282304 |