Cite this dataset as
Keane, J.B., Toet, S., Weslien, P., Klemedtsson, L., Stockdale, J., Ineson, P. (2023). CO2 and CH4 fluxes measured using static chamber technique from a hemi-boreal ombrotrophic fen in drought and non-drought years, Mycklemossen, Sweden, 2017-2019. NERC EDS Environmental Information Data Centre. (Dataset). https://doi.org/10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f
Import this citation into your reference management software:
BibTeX | Reference Manager (RIS) | Endnote
This dataset is available under the terms of the Open Government Licence
CO2 and CH4 fluxes measured using static chamber technique from a hemi-boreal ombrotrophic fen in drought and non-drought years, Mycklemossen, Sweden, 2017-2019
Format
Comma-separated values (CSV)
Spatial information
- Study area
-
- Spatial representation type
- Tabular (text)
- Spatial reference system
- WGS 84 / Pseudo-Mercator
Temporal information
- Temporal extent
-
2017-08-01 to 2019-09-30
Provenance & quality
The impacts of drought (in 2018 the mire experienced drought conditions) and different vegetation types (sedge, heather, sphagnum or open water; 6 replicated for each) on the fluxes were determined.
Fluxes were measured within collars of 20-cm diameter, 4-min at each collar. CH4 and CO2 fluxes were detected using a Licor infrared gas analyser (IRGA, LI-8100, Licor, NE, USA) to measure CO2 and a cavity ringdown laser (CRD, LGR U-GGA-91, Los Gatos Research, CA USA) to measure both CO2 and CH4.
Fluxes of CO2 and CH4 were calculated using linear regression; a deadband of at least 20 seconds was allowed for the chamber headspace to mix and a window of 90 seconds was used for CO2 and 240 seconds used for CH4. Fluxes were adjusted for area, air temperature and gas volume. Further adjustment was made to the CO2 fluxes during daylight hours based upon the light response curve to account for attenuation of light by the chamber material, after.
All data manipulation and analyses were carried out using SAS 9.4 (SAS Institute, CA 161 USA).
GHG flux data (for both CO2 and CH4) were quality controlled in the first instance using the R2 statistic of the CO2 flux measurement, with values < 0.9 discarded.
Measurements passing this threshold were then assessed using the output statistics from the regression calculation of CH4 fluxes, where regressions with a P value < 0.05 were accepted, while those that did not were treated as zero flux. Data outliers were defined as those ± 1.96 standard errors of the mean flux value for each collar and were excluded from the analyses.
Data were further filtered to account for overestimation of fluxes during still atmospheric night-time conditions. Using the procedure fluxes where the mean CO2 concentration for the 20 second period before and after chamber closure dropped by more than 25 ppm where discounted.
Correspondence/contact details
Authors
Other contacts
- Rights holder
-
University of York
- Custodian
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
- Publisher
-
NERC EDS Environmental Information Data Centreinfo@eidc.ac.uk
Additional metadata
- Topic categories
- environment
- INSPIRE theme
- Environmental Monitoring Facilities
- Keywords
- carbon , carbon dioxide , Climate and climate change , drought , fen , greenhouse gas , hemi-boreal , methane , ombrotrophic fen , peat , Peatland , vegetation
- Funding
- Natural Environment Research Council Award: NE/P008690/1
EU Cost Action Award: COST-STSM-ECOST-STSM-ES1308-080216-068955
Swedish Infrastructure for Ecosystem Science - Last updated
- 08 February 2024 17:26
Get the data
By accessing or using this dataset, you agree to the terms of the relevant licence agreement(s). You will ensure that this dataset is cited in any publication that describes research in which the data have been used.
This dataset is available under the terms of the Open Government Licence
CITE AS: Keane, J.B.; Toet, S.; Weslien, P.; Klemedtsson, L.; Stockdale, J.; Ineson, P. (2023). CO2 and CH4 fluxes measured using static chamber technique from a hemi-boreal ombrotrophic fen in drought and non-drought years, Mycklemossen, Sweden, 2017-2019. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f