Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Dissolved organic carbon (DOC) export from subarctic areas analyzed using a GIS/remote sensing approach

MZOBE, Pearl LU ; Berggren, Martin LU ; Schubert, Per LU ; Pilesjö, Petter LU and Persson, Andreas LU (2016) ASLO Summer meeting, 2016
Abstract
Subarctic ecosystems are predicted to experience the fastest responses to climate change on the planet, with dramatically altered vegetation patterns, frost dynamics and hydrological flow paths. The resulting change in dissolved organic carbon (DOC) export to river systems is poorly known, but reports of rising DOC in northern surface waters have led to widespread speculations on a possible climate-induced freshwater ‘brownification’. In this study we explore the possibility of using the Normalized Vegetation Difference Index (NDVI) together with easily available topographical indices to model the DOC release into first-order streams, focusing on a subarctic area of Sweden (Stordalen) with discontinuous permafrost. We utilise earth... (More)
Subarctic ecosystems are predicted to experience the fastest responses to climate change on the planet, with dramatically altered vegetation patterns, frost dynamics and hydrological flow paths. The resulting change in dissolved organic carbon (DOC) export to river systems is poorly known, but reports of rising DOC in northern surface waters have led to widespread speculations on a possible climate-induced freshwater ‘brownification’. In this study we explore the possibility of using the Normalized Vegetation Difference Index (NDVI) together with easily available topographical indices to model the DOC release into first-order streams, focusing on a subarctic area of Sweden (Stordalen) with discontinuous permafrost. We utilise earth observation data in predicting changes in DOC export, and further combine these efforts with distributed modeling of hydrological flow paths to generate maps of stream DOC in a palsa landscape. Our preliminary results point to a largely unexplored potential of using GIS and Remote Sensing analysis to reconstruct and project the DOC export from subarctic catchments and its response to climate change. (Less)
Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to conference
publication status
published
subject
pages
1 pages
conference name
ASLO Summer meeting, 2016
conference location
Santa Fé, United States
conference dates
2016-06-05 - 2016-06-10
language
English
LU publication?
yes
id
22d7f95f-2561-4814-a61d-e7d11ef721fe
date added to LUP
2018-07-05 16:02:04
date last changed
2019-03-22 15:43:00
@misc{22d7f95f-2561-4814-a61d-e7d11ef721fe,
  abstract     = {{Subarctic ecosystems are predicted to experience the fastest responses to climate change on the planet, with dramatically altered vegetation patterns, frost dynamics and hydrological flow paths. The resulting change in dissolved organic carbon (DOC) export to river systems is poorly known, but reports of rising DOC in northern surface waters have led to widespread speculations on a possible climate-induced freshwater ‘brownification’. In this study we explore the possibility of using the Normalized Vegetation Difference Index (NDVI) together with easily available topographical indices to model the DOC release into first-order streams, focusing on a subarctic area of Sweden (Stordalen) with discontinuous permafrost. We utilise earth observation data in predicting changes in DOC export, and further combine these efforts with distributed modeling of hydrological flow paths to generate maps of stream DOC in a palsa landscape. Our preliminary results point to a largely unexplored potential of using GIS and Remote Sensing analysis to reconstruct and project the DOC export from subarctic catchments and its response to climate change.}},
  author       = {{MZOBE, Pearl and Berggren, Martin and Schubert, Per and Pilesjö, Petter and Persson, Andreas}},
  language     = {{eng}},
  title        = {{Dissolved organic carbon (DOC) export from subarctic areas analyzed using a GIS/remote sensing approach}},
  year         = {{2016}},
}