9334118f-3389-4a13-89a1-d75ec6fcc43a 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 2026-01-09T12:11:44 UK GEMINI 2.3 WGS 84 Fuel moisture content of vegetation in the UK, 2021-2023, measured as part of UK Fire Danger Rating System 2025-11-17 publication https://catalogue.ceh.ac.uk/id/9334118f-3389-4a13-89a1-d75ec6fcc43a 10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a doi: Ivison, K., Belcher, C.M., Clay, G.D., Crawford, A.J., Doerr, S.H., Elliott, A., Graham, L.J., Lewis, C., Little, K., Morison, J.I.L., Nikonovas, T., Orpin, A., Stoll, E., Kettridge, N. (2025). Fuel moisture content of vegetation in the UK, 2021-2023, measured as part of UK Fire Danger Rating System. NERC EDS Environmental Information Data Centre 10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a These datasets contain sampled fuel moisture content data for vegetation, organic soil and leaf litter as part of the UK Fire Danger Rating System project funded by NERC (NE/T003553/1). The sampled vegetation comprises both live and dead heather, gorse, bracken, moor grass and moss. Where relevant, the canopy/leaves and stem were sampled separately. The datasets also contain associated information about the sample site characteristics (land cover class, elevation, slope and aspect) and meteorological variables (temperature, relative humidity and wind speed at the time of sampling). There are three datasets included which represent three separate studies: (i) UK-wide dataset which contains samples from sites across the UK from 2021-2023; (ii) North Yorkshire Moors dataset which contains samples from the North Yorkshire Moors, where sites were chosen to represent a combination of landscape characteristics, from five days in 2021; (iii) West Midlands dataset which contains samples from multiple volunteers on one day only across two sites. Full details about this dataset can be found at https://doi.org/10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a Nick Kettridge University of Birmingham n.kettridge@bham.ac.uk pointOfContact Ivison, K. University of Birmingham k.e.ivison@bham.ac.uk author Belcher, C.M. University of Exeter c.belcher@exeter.ac.uk author Clay, G.D. University of Manchester gareth.clay@manchester.ac.uk author Crawford, A.J. University of Exeter a.j.crawford2@exeter.ac.uk author Doerr, S.H. Swansea University s.doerr@swansea.ac.uk author Elliott, A. University of Birmingham andy@wildfiretac.com author Graham, L.J. University of Birmingham l.graham@bham.ac.uk author Lewis, C. University of Birmingham chloelewis908@gmail.com author Little, K. University of Birmingham k.e.little@bham.ac.uk author Morison, J.I.L. Forest Research james.morison@forestresearch.gov.uk author Nikonovas, T. Swansea University tadas.nikonovas@swansea.ac.uk author Orpin, A. University of Birmingham alice.orpin@gmail.com author Stoll, E. University of the Highlands and Islands erin.stoll@scottishwoodlands.co.uk author Kettridge, N. University of Birmingham n.kettridge@bham.ac.uk author University of Birmingham EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Environmental risk North Yorkshire Moors West Midlands wildfire temperate fuel moisture content 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: Ivison, K., Belcher, C.M., Clay, G.D., Crawford, A.J., Doerr, S.H., Elliott, A., Graham, L.J., Lewis, C., Little, K., Morison, J.I.L., Nikonovas, T., Orpin, A., Stoll, E., Kettridge, N. (2025). Fuel moisture content of vegetation in the UK, 2021-2023, measured as part of UK Fire Danger Rating System. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/9334118f-3389-4a13-89a1-d75ec6fcc43a textTable English utf8 biota 2021-02-24 2023-06-05 -8.648 1.768 49.864 60.861 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/sd/9334118f-3389-4a13-89a1-d75ec6fcc43a.zip Supporting information Supporting information available to assist in re-use of this dataset information https://data-package.ceh.ac.uk/data/9334118f-3389-4a13-89a1-d75ec6fcc43a Download the data Download a copy of this data download 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 Data were collected by sampling vegetation. The sampler established 20 m transects at sample sites and collected samples between 11:00 and 17:00 local time. For heather, gorse and bracken, stems and either canopy (heather, gorse) or leaves (bracken) were sampled separately, and for all vegetation both live and dead samples were taken. Live moss samples were collected by pinching the top two cm of moss from the soil surface, and litter samples were collected by pinching the top two cm of dead leaf litter from soil surface, at ca. 10 points along the transect. These two fuel types were sampled separately, and if both occurred together the constituents were separated. For the organic layer, defined as the organic material beneath the surface litter and above the mineral soil, the top 5 cm of soil was sampled at four points along the transect. In forested sites, twigs (<5 mm diameter) were collected from fallen branches at ca. 10 points along the transect. Only those which were not in contact with the floor were collected. The same fuel constituents sampled along the transects were combined within aluminium screw-fit tins that were sealed with masking tape. Gravimetric fuel moisture content (FMC) was calculated by weighing the collected samples, drying them for 48 h at 80 °C and then reweighing the dried samples. The FMC is calculated as: (W - D)/(D - T) * 100 where W = wet weight (g), D = dry weight (g) and T = the weight of the sample tin (g).