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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ftrepec:oai:RePEc:plo:pone00:0199608 2023-05-15T18:28:08+02:00 Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach Pearl Mzobe Martin Berggren Petter Pilesjö Erik Lundin David Olefeldt Nigel T Roulet Andreas Persson https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199608 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199608&type=printable unknown https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199608 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199608&type=printable article ftrepec 2020-12-04T13:36:37Z 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 RePEc (Research Papers in Economics) Stordalen ENVELOPE(7.337,7.337,62.510,62.510) |
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RePEc (Research Papers in Economics) |
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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 |
Pearl Mzobe Martin Berggren Petter Pilesjö Erik Lundin David Olefeldt Nigel T Roulet Andreas Persson |
spellingShingle |
Pearl Mzobe Martin Berggren Petter Pilesjö Erik Lundin David Olefeldt Nigel T Roulet Andreas Persson Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
author_facet |
Pearl Mzobe Martin Berggren Petter Pilesjö Erik Lundin David Olefeldt Nigel T Roulet Andreas Persson |
author_sort |
Pearl Mzobe |
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 |
url |
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199608 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199608&type=printable |
long_lat |
ENVELOPE(7.337,7.337,62.510,62.510) |
geographic |
Stordalen |
geographic_facet |
Stordalen |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0199608 https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0199608&type=printable |
_version_ |
1766210488378589184 |