Data from: 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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ftzenodo:oai:zenodo.org:4952252 2024-09-15T18:37:51+00:00 Data from: 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 2019-06-14 https://doi.org/10.5061/dryad.pq788v9 unknown Zenodo https://doi.org/10.1371/journal.pone.0199608 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.pq788v9 oai:zenodo.org:4952252 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode info:eu-repo/semantics/other 2019 ftzenodo https://doi.org/10.5061/dryad.pq788v910.1371/journal.pone.0199608 2024-07-26T16:41:04Z 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) the 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. DOC in streams within a subarctic catchment Final figures for manuscript Figures1.zip DOC in streams within a subarctic catchment Final tables for manuscript Tables1.zip Other/Unknown Material Subarctic Zenodo |
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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) the 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. DOC in streams within a subarctic catchment Final figures for manuscript Figures1.zip DOC in streams within a subarctic catchment Final tables for manuscript Tables1.zip |
format |
Other/Unknown Material |
author |
Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik Olefeldt, David Roulet, Nigel T. Persson, Andreas |
spellingShingle |
Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik Olefeldt, David Roulet, Nigel T. Persson, Andreas Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
author_facet |
Mzobe, Pearl Berggren, Martin Pilesjö, Petter Lundin, Erik Olefeldt, David Roulet, Nigel T. Persson, Andreas |
author_sort |
Mzobe, Pearl |
title |
Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_short |
Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_full |
Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_fullStr |
Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_full_unstemmed |
Data from: Dissolved organic carbon in streams within a subarctic catchment analysed using a GIS/remote sensing approach |
title_sort |
data from: dissolved organic carbon in streams within a subarctic catchment analysed using a gis/remote sensing approach |
publisher |
Zenodo |
publishDate |
2019 |
url |
https://doi.org/10.5061/dryad.pq788v9 |
genre |
Subarctic |
genre_facet |
Subarctic |
op_relation |
https://doi.org/10.1371/journal.pone.0199608 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.pq788v9 oai:zenodo.org:4952252 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.pq788v910.1371/journal.pone.0199608 |
_version_ |
1810482199894425600 |