Date (Publication)

2023-03-08

Citation identifier

https://catalogue.ceh.ac.uk/id/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f

Citation identifier

doi: / 10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f

Other citation details

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 10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f

Point of contact

Organisation name	Individual name	Electronic mail address	Role
University of York	Keane, J.B.	ben.keane@york.ac.uk	Author
University of York	Toet, S.	sylvia.toet@york.ac.uk	Author
University of Gothenburg	Weslien, P.	per.weslien@gu.se	Author
University of Gothenburg	Klemedtsson, L.	leif.klemedtsson@gvc.gu.se	Author
University of York	Stockdale, J.	james.stockdale@york.ac.uk	Author
University of York	Ineson, P.	phil.ineson@york.ac.uk	Author
University of York	Toet, S.	sylvia.toet@york.ac.uk	Point of contact
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Custodian
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Publisher
University of York		sylvia.toet@york.ac.uk	Owner

GEMET - INSPIRE themes, version 1.0

• Environmental Monitoring Facilities

GEMET - Concepts, version 4.1.3

• vegetation
• greenhouse gas
• carbon dioxide
• carbon
• methane
• peat
• fen
• drought

Keywords

• Climate and climate change

• ombrotrophic fen

• hemi-boreal

• Peatland

Access constraints

Other restrictions

Other constraints

no limitations

Use constraints

Other restrictions

Other constraints

This resource is available under the terms of the Open Government Licence

Use constraints

Other restrictions

Other constraints

If you reuse this data, you should cite: 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

Spatial representation type

Text, table

Distance

100  urn:ogc:def:uom:EPSG::9001

Language

English

Character set

UTF8

Topic category

• Environment

Begin date

2017-08-01

End date

2019-09-30

Unique resource identifier

WGS 84 / Pseudo-Mercator

Distribution format

Name	Version
Comma-separated values (CSV)

Distributor contact

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Distributor

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/data/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f	Download the data

OnLine resource

Protocol	Linkage	Name
	https://data-package.ceh.ac.uk/sd/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f.zip	Supporting information

Hierarchy level

Dataset

Other

dataset

Statement

Near continuous methane and CO2 fluxes measured along a transect on an ombrotrophic fen in Southern Sweden from August 2017-September 2019 using an automated greenhouse gas flux platform SkyLine2D. 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.

Metadata

File identifier

d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f XML

Metadata language

English

Character set

8859 Part 1

Hierarchy level

Dataset

Hierarchy level name

dataset

Date stamp

2025-11-13T16:17:50

Metadata standard name

UK GEMINI

Metadata standard version

2.3

Metadata author

Organisation name	Individual name	Electronic mail address	Role
NERC EDS Environmental Information Data Centre		info@eidc.ac.uk	Point of contact