Menu

Javascript is not activated in your browser. This website needs javascript activated to work properly.
You are here

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

Author:
  • Pearl MZOBE
  • Martin Berggren
  • Per Schubert
  • Petter Pilesjö
  • Andreas Persson
Publishing year: 2016
Language: English
Pages:
Document type: Conference paper: abstract

Abstract english

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.

Keywords

  • Earth and Related Environmental Sciences

Other

ASLO Summer meeting, 2016
2016-06-05 - 2016-06-10
Santa Fé, United States
Published
E-mail: andreas [dot] persson [at] nateko [dot] lu [dot] se

Senior lecturer

Dept of Physical Geography and Ecosystem Science

+46 46 222 42 62

GIS-centrum 103

16

Senior lecturer

Centre for Geographical Information Systems (GIS Centre)

+46 46 222 42 62

16

Teaching staff

Dept of Physical Geography and Ecosystem Science

16

Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund
Sweden

Processing of personal data