1fa8d605-b996-4687-ace2-1fa59cd5c6dd 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 2025-11-13T16:27:09 UK GEMINI 2.3 OSGB 1936 / British National Grid Biogeochemical and edaphic data from burned peat soil on the Stalybridge estate (UK), October 2018 2021-09-23 publication https://catalogue.ceh.ac.uk/id/1fa8d605-b996-4687-ace2-1fa59cd5c6dd 10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd doi: Robroek, B.J.M., Shepherd, H.E.R., Steele, M.N., Dumont, M.G. (2021). Biogeochemical and edaphic data from burned peat soil on the Stalybridge estate (UK), October 2018. NERC EDS Environmental Information Data Centre 10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd This dataset contains biogeochemical and edaphic information from burned peat soil on the Stalybridge estate located near Manchester (UK), commonly referred to as Saddleworth moor. This study was conducted after a wildfire fire on the Saddleworth moor in June 2018. The sample plots included areas with deep and shallow peat burn. The data includes geographical information (location, elevation and slope), soil temperature and soil chemical composition (carbon, nitrogen and 22 other elements). The dataset is the result of research funded by a NERC Urgency grant entitled 'RECOUP-Moor: Restoring Ecosystem CarbOn Uptake of Post-fire Moorland' (NE/S011943/1, led by Dr. Bjorn Robroek of the University of Southampton (now Radboud University Nijmegen, the Netherlands). Full details about this dataset can be found at https://doi.org/10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd Robroek, B. Radboud University bjorn.robroek@ru.nl pointOfContact Robroek, B.J.M. Radboud University bjorn.robroek@ru.nl https://orcid.org/0000-0002-6714-0652 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 Shepherd, H.E.R. University of Southampton h.e.r.shepherd@soton.ac.uk https://orcid.org/0000-0002-7077-3581 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 Steele, M.N. University of Southampton m.n.steele@soton.ac.uk https://orcid.org/0000-0001-9949-225X 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 Dumont, M.G. University of Southampton m.g.dumont@soton.ac.uk https://orcid.org/0000-0002-7347-8668 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 NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Radboud University EMAIL NOT PROVIDED owner Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication bog fire soil soil chemistry GEMET - Concepts, version 4.1.3 2019-01-28 creation Environmental risk Soil Blanket bog Moorland Peatland Wildfire Soil biochemistry Soil edaphics 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: Robroek, B.J.M., Shepherd, H.E.R., Steele, M.N., Dumont, M.G. (2021). Biogeochemical and edaphic data from burned peat soil on the Stalybridge estate (UK), October 2018. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/1fa8d605-b996-4687-ace2-1fa59cd5c6dd textTable 10 English utf8 biota environment 2018-10-01 2018-10-31 -1.966 -1.942 53.543 53.546 txt NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/1fa8d605-b996-4687-ace2-1fa59cd5c6dd Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/1fa8d605-b996-4687-ace2-1fa59cd5c6dd.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 We established ten plots in October 2018 at the post-fire site. Each plot was 10 m x 10 m in size. We identified five of these plots as suffering a less severe (shallow) burn. The other 5 plots were in areas where a more severe (deep) burn was identified. In all plots the surface vegetation had been removed by the fire exposing the bare peat. We determined the geographical properties of each plot. This included their geographical location, elevation and slope. We also measured soil temperature at each location at multiple time points over the following 24-months. On July 23rd 2019 we extracted small peat samples from the surface of each plot. Each sample was 5 cm x 5 cm in diameter and 2 cm in depth. The samples were homogenised and kept at c. 5 deg C until further analysis was completed to determine their chemical composition. In preparation for the chemical analysis of each sample we dried the peat at 70 deg C for 72 hours. This was then crushed forming a fine homogenous powder. To determine the carbon and nitrogen content of each sample we extracted three sub-samples of the fine peat powder. Each sample was then combusted at 1800 deg C and the percentage of carbon and nitrogen released was quantified. This was performed using a Vario Micro Cube (Elementar). For each plot, the content of each sub-sample was compared to ensure that the observed values were consistent, and the samples were homogenous. An average of the three sub-samples was then taken to provide one value per plot. To determine the composition of other elements within the samples, we extracted two sub-samples from each plot sample and performed Inductively Coupled Plasma-Mass-Spectrometry (ICP-MS) analysis on each of the sub-samples. This was used to determine the relative composition of 22 elements. For each plot, an average of the two sub-samples was taken.