9947ccc9-7396-4821-b095-c374bd857305 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 2026-01-08T13:36:31 UK GEMINI 2.3 OSGB 1936 / British National Grid Soil, site and tree characteristics for acute oak decline (AOD) symptomatic and non-symptomatic oak in three UK woodlands, southern England, 2016 2025-04-11 publication https://catalogue.ceh.ac.uk/id/9947ccc9-7396-4821-b095-c374bd857305 10.5285/9947ccc9-7396-4821-b095-c374bd857305 doi: Shaw, L.J., Rabiey, M., Garcia, M.S.J., Clarke, T., Broome, A., Corbett, L.J., Booth, O.R., Barrett, G.A., Preston, G.M., Barsoum, N., Schonrogge, K., Jackson, R.W., Ray, D., Dudley, A.S., Kamerling, I.M., Speed, C. (2025). Soil, site and tree characteristics for acute oak decline (AOD) symptomatic and non-symptomatic oak in three UK woodlands, southern England, 2016. NERC EDS Environmental Information Data Centre 10.5285/9947ccc9-7396-4821-b095-c374bd857305 This dataset contains information on tree, site and soil properties from three oak woodland sites in southern England: Writtle Forest, Monks Wood, and Stratfield Brake. Data were collected in 2016 to investigate the relationship between Acute Oak Decline (AOD) symptoms and local environmental factors. The study included 10 symptomatic and 10 asymptomatic trees at each site. Tree characteristics include latitude and longitude coordinates, species-level classification (based on morphological measurements and genetic SNP analysis confirming identity as Quercus robur, Quercus petraea, or hybrids), tree dimensions (height, diameter at 1.35 m, crown dimensions), crown condition (density reduction), and rooting depth. Data on the surrounding site context were also collected, including depth to gleying, basal area of surrounding stands (measured at 0-20 m and 20-40 m), compound topographic index, and tree social status (e.g., dominant, codominant, suppressed). Soil characteristics were analysed to capture both physical and chemical properties. Physical properties included texture and bulk density, while chemical analyses measured organic matter content, pH, total carbon and nitrogen, mineral nitrogen (nitrate and ammonium), 'Olsen' extractable phosphorus, cation exchange capacity, and concentrations of exchangeable cations. The work was supported by the grant BB/N022831/1 ('PuRpOsE') with additional funding from the Woodland Trust, Bartlett's Tree Experts and The University of Reading. Full details about this dataset can be found at https://doi.org/10.5285/9947ccc9-7396-4821-b095-c374bd857305 Shaw, L.J. University of Reading e.j.shaw@reading.ac.uk https://orcid.org/0000-0002-4985-7078 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 Rabiey, M. University of Warwick Mojgan.Rabiey@warwick.ac.uk https://orcid.org/0000-0001-8463-9087 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 Garcia, M.S.J. University of Reading matsjg@gmail.com author Clarke, T. Cabinet Office toni.clarke@cabinetoffice.gov.uk https://orcid.org/0000-0002-7745-6351 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 Broome, A. Forest Research alice.broome@forestresearch.gov.uk https://orcid.org/0000-0003-0619-2085 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 Corbett, L.J. University of Reading l.j.corbett@pgr.reading.ac.uk author Booth, O.R. University of Reading o.booth@writtleforest.co.uk author Barrett, G.A. University of Reading glyn.barrett@reading.ac.uk https://orcid.org/0000-0003-1509-0179 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 Preston, G.M. University of Oxford gail.preston@biology.ox.ac.uk https://orcid.org/0000-0003-3882-4438 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 Barsoum, N. Forest Research nadia.barsoum@forestresearch.gov.uk author Schonrogge, K. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-0122-6493 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 Jackson, R.W. University of Birmingham r.w.jackson@bham.ac.uk https://orcid.org/0000-0002-2042-4105 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 Ray, D. Forest Research duncan.ray@forestresearch.gov.uk https://orcid.org/0000-0002-8975-8728 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 Dudley, A.S. University of Reading a.s.dudley@reading.ac.uk author Kamerling, I.M. Leiden University i.m.kamerling@arch.leidenuniv.nl https://orcid.org/0000-0003-3321-8631 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 Speed, C. University of Reading EMAIL NOT PROVIDED author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Reading and The Crown EMAIL NOT PROVIDED owner Shaw, L.J. University of Reading e.j.shaw@reading.ac.uk https://orcid.org/0000-0002-4985-7078 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 Habitats and Biotopes theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication Quercus robur Quercus petraea Wikidata 2012-10-29 creation Biodiversity England Acute Oak Decline Soil Properties Forest Mensuration gleying otherRestrictions no limitations otherRestrictions Creative Commons Attribution International licence otherRestrictions If you reuse this data, you should cite: Shaw, L.J., Rabiey, M., Garcia, M.S.J., Clarke, T., Broome, A., Corbett, L.J., Booth, O.R., Barrett, G.A., Preston, G.M., Barsoum, N., Schonrogge, K., Jackson, R.W., Ray, D., Dudley, A.S., Kamerling, I.M., Speed, C. (2025). Soil, site and tree characteristics for acute oak decline (AOD) symptomatic and non-symptomatic oak in three UK woodlands, southern England, 2016. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/9947ccc9-7396-4821-b095-c374bd857305 textTable English utf8 biota 2016-01-01 2016-12-31 -6.452 1.768 49.864 55.812 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/9947ccc9-7396-4821-b095-c374bd857305 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/9947ccc9-7396-4821-b095-c374bd857305.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 Selection of trees for sampling involved systematic field surveys, targeting symptomatic (stem bleeding cankers) and asymptomatic trees. Tree and site characteristics were determined using standardized forest mensuration protocols. Soil samples (taken from 5-15 cm and 40-50 cm depths from randomly-selected positions 1.5-2.0 m away from the stem from each tree) were prepared for analysis of physical and chemical properties using standard laboratory methods (e.g., BaCl2 extractions for exchangeable cations, and the Olsen method for phosphorus). Soil samples were analysed using laboratory equipment such as a Malvern Mastersizer 3000 for particle size analysis, a FLASH CN elemental analyzer for carbon and nitrogen content, and a Perkin Elmer 3000 ICP-OES for cation analysis. A Skalar SAN++ autoanalyzer was used for phosphate, nitrate and ammonium determination. Variables (units) include tree dimensions (meters, centimetres), soil chemical concentrations (mg/kg), and physical properties such as texture (percentages of clay, silt, and sand). Additional variables include crown density reduction (percentage). Composite soil samples were prepared by pooling subsamples, and chemical analysis results are normalized to dry soil weight. Laboratory analyses included technical replication (e.g., three replicates for LOI, five for particle size distribution) and calibration using external standards. Blanks were analysed alongside samples for nutrient and cation extraction procedures. Data reliability may be influenced by the sampling resolution and the inherent variability in soil properties. Some chemical concentrations were below detection limits and are entered as half the detection limit, following USEPA (2000) guidelines. Observations and samples represent a single time point, limiting temporal insights into soil and tree dynamics.