01811fce-1e0f-43be-8649-336b5c51d6cf 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 2025-11-13T16:25:16 UK GEMINI 2.3 OSGB 1936 / British National Grid Sheep urine patch greenhouse gas emissions from organic soils in an extensively grazed montane agroecosystem, North Wales, UK 2020-03-13 publication https://catalogue.ceh.ac.uk/id/01811fce-1e0f-43be-8649-336b5c51d6cf 10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf doi: Marsden, K.A., Holmberg, J.A., Jones, D.L., Charteris, A.F., Cardenas, L.M., Chadwick, D.R. (2020). Sheep urine patch greenhouse gas emissions from organic soils in an extensively grazed montane agroecosystem, North Wales, UK. NERC Environmental Information Data Centre 10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf The dataset contains greenhouse gas fluxes (N2O, CO2 and CH4) following artificial and real sheep urine applied to organic soils within the Carneddau mountain range (556 m a.s.l.) in Snowdonia National Park, North Wales, UK. The study was conducted across two contrasting seasons (summer and autumn). Soil greenhouse gas emission data was collected using a combination of automated chambers and manually sampled chambers, with gas samples analysed via gas chromatography. Supporting data include characterisation of the soil properties at each site, meteorological data, soil moisture and soil chemistry on a time-series following treatment application. The data were used to calculate sheep urine patch N2O-N emission factors, to improve estimates of greenhouse gas emissions from sheep urine deposited to extensively grazed montane agroecosystems. Full details about this dataset can be found at https://doi.org/10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf Marsden, K.A. Bangor University k.marsden@bangor.ac.uk https://orcid.org/0000-0002-0605-3918 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 Holmberg, J.A. Bangor University j.a.holmberg@bangor.ac.uk author Jones, D.L. Bangor University d.jones@bangor.ac.uk https://orcid.org/0000-0002-1482-4209 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 Charteris, A.F. Rothamsted Research Alice.charteris@rothamsted.ac.uk https://orcid.org/0000-0003-2748-4677 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 Cardenas, L.M. Rothamsted Research laura.cardenas@rothamsted.ac.uk https://orcid.org/0000-0002-4401-9163 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 Chadwick, D.R. Bangor University d.chadwick@bangor.ac.uk https://orcid.org/0000-0002-8479-8157 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 Marsden, K. Bangor University k.marsden@bangor.ac.uk https://orcid.org/0000-0002-0605-3918 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 pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC Environmental Information Data Centre info@eidc.ac.uk publisher Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication carbon dioxide methane GEMET - Concepts, version 4.1.3 2019-01-28 creation Carneddau mountains Snowdonia National Park GeoNames 2006-01-01 creation Soil CH4 CO2 N2O Nitrous oxide otherRestrictions no limitations otherRestrictions Bangor University otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Marsden, K.A., Holmberg, J.A., Jones, D.L., Charteris, A.F., Cardenas, L.M., Chadwick, D.R. (2020). Sheep urine patch greenhouse gas emissions from organic soils in an extensively grazed montane agroecosystem, North Wales, UK. NERC Environmental Information Data Centre https://doi.org/10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf textTable 1000 English utf8 farming 2017-07-06 2018-03-13 -4.07 -3.686 52.872 53.281 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/01811fce-1e0f-43be-8649-336b5c51d6cf Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/01811fce-1e0f-43be-8649-336b5c51d6cf.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 Treatments were applied in a randomised block design within two contrasting seasons (summer and autumn), of 2017. In the summer experiment, treatments (n = 4) consisted of: i) control (no urine application), ii) artificial sheep urine (920 kg N ha-1), and iii) real sheep urine (930 kg N ha-1). In the autumn study, treatments (n = 4) consisted of: i) control (no amendment), ii) artificial sheep urine (1120 kg N ha-1), and iii) nitrate and glucose (106 kg N ha-1; 213 kg C ha-1). The latter treatment was applied to determine the capacity for denitrification related N2O emissions without substrate limitation. The real sheep urine was collected from sheep grazing vegetation at the site and was re-applied to the soil in discrete patches. Greenhouse gas fluxes were monitored using a mobile automated greenhouse gas monitoring system (Queensland University of Technology, Institute for Future Environments, Brisbane, Australia) which samples from static chambers, analysing the samples for N2O and CH4 on a gas chromatograph (SRI 8610C, Torrance, USA) and CO2 fluxes on a LI-COR LI-820 (Licor, St Joseph, MI, USA). The system measures eight greenhouse gas flux measurements per chamber per day and is calibrated with certified reference gases to ensure accuracy. Subsequently, monthly manual greenhouse gas samples were taken from static chambers in the same plots, with samples analysed on a Perkin Elmer 580 gas chromatograph (Perkin Elmer Inc., Beverly, CT, USA), also calibrated with certified reference gases to ensure accuracy. The nature and units of the reported fluxes can be found in the supporting documentation associated with the fluxes. The N2O-N emission factors (% of N applied) were calculated from the N2O fluxes by calculating the cumulative emissions (area under the curve by trapezoidal integration) and expressing the proportion of applied urine-N emitted as N2O-N. In addition to the greenhouse gas fluxes the temporal dynamics of soil solution mineral N dynamics (NH4+ and NO3-) and total dissolved N and dissolved organic C are provided, which were collected via Rhizon® soil solution samplers installed inside the chambers. Routine soil sampling from duplicate plots were also conducted, where the soil moisture (expressed as % soil water-filled pore space), soil pH and electrical conductivity following the treatment applications are reported. The soil temperature, air temperature and rainfall data covering the study periods are included, alongside characterisation of the soils within each experimental area. Full details of the methods and quality control procedures are provided in the supporting documentation associated with each deposited data file.