d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:17:50 UK GEMINI 2.3 WGS 84 / Pseudo-Mercator 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 2023-03-08 publication https://catalogue.ceh.ac.uk/id/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f 10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f doi: 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 Net ecosystem exchange and methane fluxes were measured from a hemi-boreal ombrotrophic fen in Southern Sweden. An automated chamber system, SkyLine2D, was used to measure the fluxes near-continuously from August 2017 to September 2019. Four ecotypes were identified: sphagnum (Sphagnum spp), eriophorum, heather and water, to assess how these different ecotypes would respond to drought. The 2018 drought allowed comparison of fluxes between drought and non-drought years (May to September), and their recovery the following year. Full details about this dataset can be found at https://doi.org/10.5285/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f Keane, J.B. University of York ben.keane@york.ac.uk https://orcid.org/0000-0001-7614-8018 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Toet, S. University of York sylvia.toet@york.ac.uk https://orcid.org/0000-0001-7657-4607 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Weslien, P. University of Gothenburg per.weslien@gu.se https://orcid.org/0000-0001-6626-2925 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Klemedtsson, L. University of Gothenburg leif.klemedtsson@gvc.gu.se https://orcid.org/0000-0002-1122-0717 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Stockdale, J. University of York james.stockdale@york.ac.uk https://orcid.org/0000-0001-7248-0451 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Ineson, P. University of York phil.ineson@york.ac.uk https://orcid.org/0000-0002-5194-0022 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Toet, S. University of York sylvia.toet@york.ac.uk pointOfContact 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 Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication vegetation greenhouse gas carbon dioxide carbon methane peat fen drought GEMET - Concepts, version 4.1.3 2019-01-28 creation Climate and climate change ombrotrophic fen hemi-boreal Peatland otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 textTable 100 English utf8 environment 2017-08-01 2019-09-30 12 12.2 58.3 58.4 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/d7bfc4ed-8ead-4d06-8e45-b592c1f48f3f.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.