Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data

• Published in: Tellus B: Chemical and Physical Meteorology
• Main Authors: Tagesson, Torbern, Mastepanov, Mikhail, Mölder, Meelis, Tamstorf, Mikkel P., Eklundh, Lars, Smith, Benjamin, Sigsgaard, Charlotte, Lund, Magnus, Ekberg, Anna, Falk, Julie Maria, Friborg, Thomas, Christensen, Torben, Ström, Lena
• Format: Article in Journal/Newspaper
• Language: English
• Published: Taylor & Francis 2013
• Subjects: Physical Geography; NDWI; methane; Arctic; Landsat; climate change; Greenland; Climate change; Tundra; Zackenberg
• Online Access: https://lup.lub.lu.se/record/3932357; https://doi.org/10.3402/tellusb.v65i0.19722

Methane (CH4) fluxes 1997-2010 were studied by combining remotely sensed normalised difference water index (NDWI) with in situ CH4 fluxes from Rylekaerene, a high-Arctic wet tundra ecosystem in the Zackenberg valley, north-eastern Greenland. In situ CH4 fluxes were measured using the closed-chamber technique. Regression models between in situ CH4 fluxes and environmental variables [soil temperature (T-soil), water table depth (WtD) and active layer (AL) thickness] were established for different temporal and spatial scales. The relationship between in situ WtD and remotely sensed NDWI was also studied. The regression models were combined and evaluated against in situ CH4 fluxes. The models including NDWI as the input data performed on average slightly better [root mean square error (RMSE) = 1.56] than the models without NDWI (RMSE = 1.67), and they were better in reproducing CH4 flux variability. The CH4 flux model that performed the best included exponential relationships against temporal variation in T-soil and AL, an exponential relationship against spatial variation in WtD and a linear relationship between WtD and remotely sensed NDWI (RMSE = 1.50). There were no trends in modelled CH4 flux budgets between 1997 and 2010. Hence, during this period there were no trends in the soil temperature at 10 cm depth and NDWI.