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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ftulundlup:oai:lup.lub.lu.se:9005fb25-4520-4a95-8575-f347e7c480ae 2023-05-15T18:28:08+02:00 Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach MZOBE, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik Olefeldt, David Roulet, Nigel T. Persson, Andreas 2018-07-06 https://lup.lub.lu.se/record/9005fb25-4520-4a95-8575-f347e7c480ae https://doi.org/10.1371/journal.pone.0199608 eng eng Public Library of Science (PLoS) https://lup.lub.lu.se/record/9005fb25-4520-4a95-8575-f347e7c480ae http://dx.doi.org/10.1371/journal.pone.0199608 pmid:29979688 scopus:85049596235 PLoS ONE; 13(7), no e0199608 (2018) ISSN: 1932-6203 Earth and Related Environmental Sciences contributiontojournal/article info:eu-repo/semantics/article text 2018 ftulundlup https://doi.org/10.1371/journal.pone.0199608 2023-02-01T23:37:00Z 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 Lund University Publications (LUP) Stordalen ENVELOPE(7.337,7.337,62.510,62.510) PLOS ONE 13 7 e0199608 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Earth and Related Environmental Sciences |
spellingShingle |
Earth and Related Environmental Sciences MZOBE, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik 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 |
Earth and Related Environmental Sciences |
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 Olefeldt, David Roulet, Nigel T. Persson, Andreas |
author_facet |
MZOBE, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik 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 |
Public Library of Science (PLoS) |
publishDate |
2018 |
url |
https://lup.lub.lu.se/record/9005fb25-4520-4a95-8575-f347e7c480ae https://doi.org/10.1371/journal.pone.0199608 |
long_lat |
ENVELOPE(7.337,7.337,62.510,62.510) |
geographic |
Stordalen |
geographic_facet |
Stordalen |
genre |
Subarctic |
genre_facet |
Subarctic |
op_source |
PLoS ONE; 13(7), no e0199608 (2018) ISSN: 1932-6203 |
op_relation |
https://lup.lub.lu.se/record/9005fb25-4520-4a95-8575-f347e7c480ae http://dx.doi.org/10.1371/journal.pone.0199608 pmid:29979688 scopus:85049596235 |
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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1766210484763099136 |