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
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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
2024-02-27T16:27:53
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
Dr Bjorn Robroek
Radboud University
enquiries@ceh.ac.uk
pointOfContact
Robroek, B.J.M.
Radboud University
enquiries@ceh.ac.uk
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
enquiries@ceh.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
enquiries@ceh.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
enquiries@ceh.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
enquiries@ceh.ac.uk
custodian
NERC EDS Environmental Information Data Centre
enquiries@ceh.ac.uk
publisher
Radboud University
enquiries@ceh.ac.uk
owner
Environmental Monitoring Facilities
theme
GEMET - INSPIRE themes, version 1.0
2008-06-01
publication
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
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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 10 plots in October 2018 at the post-fire site. Each plot was 10 m x 10 m in size. We identified 5 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 homogenized and kept at c. 5oC 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 oC 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 oC 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.