Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach
Climate change projections show that temperature and precipitation increases can alter the exchange of greenhouse gases between the atmosphere and high latitude landscapes, including their freshwaters. Dissolved organic carbon (DOC) plays an important role in greenhouse gas emissions, but the impact...
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Umeå universitet, Institutionen för ekologi, miljö och geovetenskap
2018
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ftsprs:oai:DiVA.org:polar-7733 2024-09-15T18:37:54+00:00 Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik J Olefeldt, David Roulet, Nigel T. Persson, Andreas 2018 application/pdf http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-7733 https://doi.org/10.1371/journal.pone.0199608 eng eng Umeå universitet, Institutionen för ekologi, miljö och geovetenskap Public Library of Science PLOS ONE, 2018, 13:7, orcid:0000-0002-3785-8305 orcid:0000-0001-9571-1929 http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-7733 doi:10.1371/journal.pone.0199608 PMID 29979688 ISI:000437809500022 info:eu-repo/semantics/openAccess Natural Sciences Naturvetenskap Article in journal info:eu-repo/semantics/article text 2018 ftsprs https://doi.org/10.1371/journal.pone.0199608 2024-08-15T03:00:15Z Climate change projections show that temperature and precipitation increases can alter the exchange of greenhouse gases between the atmosphere and high latitude landscapes, including their freshwaters. Dissolved organic carbon (DOC) plays an important role in greenhouse gas emissions, but the impact of catchment productivity on DOC release to subarctic waters remains poorly known, especially at regional scales. We test the hypothesis that increased terrestrial productivity, as indicated by the normalized difference vegetation index (NDVI), generates higher stream DOC concentrations in the Stordalen catchment in subarctic Sweden. Furthermore, we aimed to determine the degree to which other generic catchment properties (elevation, slope) explain DOC concentration, and whether or not land cover variables representing the local vegetation type (e.g., mire, forest) need to be included to obtain adequate predictive models for DOC delivered into rivers. We show that the land cover type, especially the proportion of mire, played a dominant role in the catchment's release of DOC, while NDVI, slope, and elevation were supporting predictor variables. The NDVI as a single predictor showed weak and inconsistent relationships to DOC concentrations in recipient waters, yet NDVI was a significant positive regulator of DOC in multiple regression models that included land cover variables. Our study illustrates that vegetation type exerts primary control in DOC regulation in Stordalen, while productivity (NDVI) is of secondary importance. Thus, predictive multiple linear regression models for DOC can be utilized combining these different types of explanatory variables. Article in Journal/Newspaper Subarctic Swedish Polar Research Secretariat: Swedish Polar Bibliography (DiVA) PLOS ONE 13 7 e0199608 |
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Swedish Polar Research Secretariat: Swedish Polar Bibliography (DiVA) |
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language |
English |
topic |
Natural Sciences Naturvetenskap |
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Natural Sciences Naturvetenskap Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik J Olefeldt, David Roulet, Nigel T. Persson, Andreas Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
topic_facet |
Natural Sciences Naturvetenskap |
description |
Climate change projections show that temperature and precipitation increases can alter the exchange of greenhouse gases between the atmosphere and high latitude landscapes, including their freshwaters. Dissolved organic carbon (DOC) plays an important role in greenhouse gas emissions, but the impact of catchment productivity on DOC release to subarctic waters remains poorly known, especially at regional scales. We test the hypothesis that increased terrestrial productivity, as indicated by the normalized difference vegetation index (NDVI), generates higher stream DOC concentrations in the Stordalen catchment in subarctic Sweden. Furthermore, we aimed to determine the degree to which other generic catchment properties (elevation, slope) explain DOC concentration, and whether or not land cover variables representing the local vegetation type (e.g., mire, forest) need to be included to obtain adequate predictive models for DOC delivered into rivers. We show that the land cover type, especially the proportion of mire, played a dominant role in the catchment's release of DOC, while NDVI, slope, and elevation were supporting predictor variables. The NDVI as a single predictor showed weak and inconsistent relationships to DOC concentrations in recipient waters, yet NDVI was a significant positive regulator of DOC in multiple regression models that included land cover variables. Our study illustrates that vegetation type exerts primary control in DOC regulation in Stordalen, while productivity (NDVI) is of secondary importance. Thus, predictive multiple linear regression models for DOC can be utilized combining these different types of explanatory variables. |
format |
Article in Journal/Newspaper |
author |
Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik J Olefeldt, David Roulet, Nigel T. Persson, Andreas |
author_facet |
Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik J Olefeldt, David Roulet, Nigel T. Persson, Andreas |
author_sort |
Mzobe, Pearl |
title |
Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_short |
Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_full |
Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_fullStr |
Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_full_unstemmed |
Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_sort |
dissolved organic carbon in streams within a subarctic catchment analysed using a gis/remote sensing approach |
publisher |
Umeå universitet, Institutionen för ekologi, miljö och geovetenskap |
publishDate |
2018 |
url |
http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-7733 https://doi.org/10.1371/journal.pone.0199608 |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
PLOS ONE, 2018, 13:7, orcid:0000-0002-3785-8305 orcid:0000-0001-9571-1929 http://urn.kb.se/resolve?urn=urn:nbn:se:polar:diva-7733 doi:10.1371/journal.pone.0199608 PMID 29979688 ISI:000437809500022 |
op_rights |
info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1371/journal.pone.0199608 |
container_title |
PLOS ONE |
container_volume |
13 |
container_issue |
7 |
container_start_page |
e0199608 |
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1810482239537938432 |