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

Tagesson, Torbern LU ; Mastepanov, Mikhail LU ; Mölder, Meelis LU ; Tamstorf, Mikkel P.; Eklundh, Lars LU ; Smith, Benjamin LU ; Sigsgaard, Charlotte; Lund, Magnus; Ekberg, Anna LU and Falk, Julie Maria LU , et al. (2013) In Tellus. Series B: Chemical and Physical Meteorology 65.
Abstract
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... (More)
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. (Less)
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publication status
published
subject
keywords
NDWI, methane, Arctic, Landsat, climate change
in
Tellus. Series B: Chemical and Physical Meteorology
volume
65
publisher
Taylor & Francis
external identifiers
  • wos:000319272600001
  • scopus:84882618838
ISSN
0280-6509
DOI
10.3402/tellusb.v65i0.19722
project
BECC
MERGE
language
English
LU publication?
yes
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3eed01fd-57b3-476d-8824-11298fa87026 (old id 3932357)
date added to LUP
2013-07-15 12:55:15
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2019-03-22 17:27:39
@article{3eed01fd-57b3-476d-8824-11298fa87026,
  abstract     = {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.},
  articleno    = {19722},
  author       = {Tagesson, Torbern and Mastepanov, Mikhail and Mölder, Meelis and Tamstorf, Mikkel P. and Eklundh, Lars and Smith, Benjamin and Sigsgaard, Charlotte and Lund, Magnus and Ekberg, Anna and Falk, Julie Maria and Friborg, Thomas and Christensen, Torben and Ström, Lena},
  issn         = {0280-6509},
  keyword      = {NDWI,methane,Arctic,Landsat,climate change},
  language     = {eng},
  publisher    = {Taylor & Francis},
  series       = {Tellus. Series B: Chemical and Physical Meteorology},
  title        = {Modelling of growing season methane fluxes in a high-Arctic wet tundra ecosystem 1997-2010 using in situ and high-resolution satellite data},
  url          = {http://dx.doi.org/10.3402/tellusb.v65i0.19722},
  volume       = {65},
  year         = {2013},
}