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Peatland

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  • This dataset contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), methane (CH4) and meteorological observations measured at two locations in the Flow Country blanket bog complex, Caithness and Sutherland, UK. The tower over the area affected by wildfire after initial felling (UK-DKF) is located at 58.431, -3.96 and monitors across a footprint affected by a wildfire in early May 2019. The tower over the area felled for restoration after previous afforestation (UK-DKE-RESTORED, which was not affected by the wildfire) is located at 58.428, -3.967 and measures fluxes from a footprint identical in ground flora, topography, soil type and previous management to that of the FIRE tower, with the only exception that the fire did not reach as far as the footprint monitored. The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. The time period covered in this dataset is 25/09/2019 – 20/05/2021. Full details about this dataset can be found at https://doi.org/10.5285/d4a7ca90-0c62-4a31-986e-f433e1644bf3

  • The datasets contain Interferometric Synthetic Aperture Radar (InSAR) measurements carried out over Caithness and Sutherland in order to measure peatland surface motion over the Flow Country using the Advanced Pixel System Intermittent Small Baseline Subset InSAR technique (APSIS InSAR). The data covers surface motion across all landcover types within the survey area. It includes timeseries of peat surface height and long term mean motion over the survey period. Data was collected on a 6-12 day basis from 12/3/2015-7/7/2019. Missing pixels are associated with low coherence and are excluded. Missing survey dates are associated with processing issues or poor coherence. Data processing was carried out by Terra Motion Ltd. Full details about this dataset can be found at https://doi.org/10.5285/7c2778bf-b498-4ba2-b8cb-60a2081e5ba7

  • This dataset is a compilation of results obtained from vegetation surveys in the Stalybride estate moorlands (commonly known as the Saddleworth moors) following a wildfire in 2018. Ten plots were established in October 2018 at the post-fire site which were 10 m x 10 m in size. Five plots were identified as suffering a less severe (shallow) burn. The other 5 plots were in areas where a more severe (deep) burn. In all plots the surface vegetation had been removed by the fire exposing the bare peat. The data file contains: (1) On-site post-fire vegetation data – species ID and coverage, and (2) species presence in the one-year post-fire seed bank. The dataset is the result of research in the light of an 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/10.5285/56561ed3-55d0-454c-a6b9-7e633ccf9647

  • This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire: approximately 3 months, 10 months and 12 months post-fire. This was taken at two depths: 0 – 5cm from the surface (top) and 5 – 10 cm from the surface (bottom). The 10 plots were divided into two groups of five, one that was observed to have suffered a light burn (termed shallow burn) and one that received a more severe burn (termed deep burn). Five additional plots were sampled at the same time as the 3-month samples from a neighbouring unburned site (termed control plots). Samples where no ASVs were observed were removed from the dataset. Full details about this dataset can be found at https://doi.org/10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad

  • 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

  • This dataset contains time series observations of land surface-atmosphere net ecosystem carbon dioxide exchange (NEE) and supporting micrometeorological observations collected at 13 peatland eddy covariance (EC) flux observation sites located across Wales, Scotland and England. Sites were active at different timescales between 2008 and 2020. The dataset represents a subset of the variables measured at each site. The full range of variables monitored at each location can be accessed via EIDC records and/or by contacting the authors. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b8c9fd3d-f9ea-4fd8-9557-9022884f711d

  • This record contains time series observations of land surface-atmosphere exchanges of net ecosystem carbon dioxide exchange (NEE), sensible heat (H) and latent heat (LE), and meteorological observations measured at an eroded upland blanket bog peatland (UK-BAL) in the Eastern Cairngorms in Scotland, UK (56.93° N, -3.16° E, 642 m asl). The dataset comprises eddy covariance CO2, water and energy fluxes, originally collected at 20Hz and processed to 30-minute data, as well as accompanying meteorological observations, originally collected at 15 min and processed to 30-minute data. Time period covered in this dataset is 04/07/2018 until 04/11/2020. Full details about this dataset can be found at https://doi.org/10.5285/a65f6241-bfc3-430a-ae93-ccb7c63c1a53

  • 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

  • Data from an acidity manipulation field experiment for three treatment types: control, acid and alkaline. Each treatment type had four replications at two experimental site locations and two soil types (making 48 sampling points per sampling time). The data includes chemistry data (pH, EC, DOC, SUVA254) for a variety of sample types (pore water from peat and organic soil (monthly), decomposing surface litter extracts (quarterly), and soil extracts (quarterly). Litter bag data includes mass loss of litter following a period of incubation in soil (3, 6 9 or 12 months), and chemistry of litter extracts (pH, EC, DOC, total nitrogen, SUVA254). There are up to four sub-replications per treatment replication. Data is also presented for the Tea Bag Index, including kTBI (decomposition rate) and S (stabilisation factor). There are up to three sub-replications per treatment replication. Full details about this dataset can be found at https://doi.org/10.5285/3bd6397d-f0db-40c4-885a-95ca280a6683