Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022
https://doi.org/10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8
Cite this dataset as:
Dahlsjö, C.A.L.; Malhi, Y.; Bailey, A. (2026). Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8
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This dataset is available under the terms of the Open Government Licence 
The data represent the growth rates and carbon accumulation among different tree species. Tree censuses were conducted in November 2020, September 2021, and September 2022. Carbon accumulation data are available for 2021 and 2022. Data were collected from 15 plots across Wytham Woods, near Oxford in southern England, to measure the accumulation of carbon (MgC/ha/year) among tree species and size classes from three experimental plot types (15 plots in total, five plots per type). The plot types include ash dominated (AD), ash dominated where ash trees have been girdled (ADG), and non-ash dominated (NAD) plots. The data contributed to a project on the ecological impact of ash dieback and were used to quantify the growth rates, and carbon accumulation, among habitats with varying levels of ash dieback represented by different treatments.
Publication date: 2026-01-26
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Format
Comma-separated values (CSV)
Spatial information
Study area
Spatial representation type
Tabular (text)
Spatial reference system
OSGB 1936 / British National Grid
Temporal information
Temporal extent
2020-11-02 to 2022-09-30
Provenance & quality
Tree censuses were conducted in November 2020, September 2021, and September 2022. A diameter band was used to record the diameter at breast height of all trees (>1cm diameter) in each plot. Growth values were calculated by subtracting the diameter from one year by the diameter from the previous year. Stems that grew or shrank by 10 cm or more were removed due to suspected sampling error. Data within size classes and species that were outside 3 standard deviations of the mean were also removed as they were classed as outliers that may have been affected by sampling error. The growth was then converted to biomass growth using allometric equations as outlined in Dahlsjo and Malhi (2024) and then converted to carbon assuming that the stems contained 49% carbon. Due to the high risk of sampling error we have produced a relatively conservative dataset of carbon accumulation from plots with varying levels of ash dieback. Limitations include a small number (5) of plots per treatment. Data were converted from Excel into csv.
Licensing and constraints
This dataset is available under the terms of the Open Government Licence
Cite this dataset as:
Dahlsjö, C.A.L.; Malhi, Y.; Bailey, A. (2026). Tree carbon accumulation among habitats with varying levels of ash dieback, Wytham Woods, Oxfordshire, UK, 2021-2022. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/fc00dbd0-bf3d-495e-9895-190919f8e5e8
Related
Supplemental information
Cecilia A.L. Dahlsjö, Yadvinder Malhi, 2024, Unravelling a hidden synergy: How pathogen-climate interactions transform habitat hydrology and affect tree growth, Science of The Total Environment, Volume 954, 176325, ISSN 0048-9697
Correspondence/contact details
Authors
https://orcid.org/0000-0003-3795-1523
Malhi, Y.
University of Oxford
Bailey, A.
University of Oxford
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
University of Oxford