Lynch, J.; Zhang, X.
Peatland restoration greenhouse emissions and uncertainties under multiple emission metrics from a modelling case-study in the UK
https://doi.org/10.5285/a295a07f-613d-4787-a933-48174db301be
Cite this dataset as:
Lynch, J.; Zhang, X. (2026). Peatland restoration greenhouse emissions and uncertainties under multiple emission metrics from a modelling case-study in the UK. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/a295a07f-613d-4787-a933-48174db301be
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Creative Commons Attribution 4.0 International License (CC BY 4.0)
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This dataset contains greenhouse gas emission estimates for illustrative scenarios of peatland restoration from a case-study with The Wildlife Trusts in the UK. Initial management information was provided by individual Wildlife Trusts, from which a representative simulation case-study was designed. Emissions are estimated assuming peatlands are initially in a degraded state, initially restored by wetting, and finally restored further to 'near-natural' conditions. Emissions are reported for individual gases (carbon dioxide, methane and nitrous oxide), and aggregated under multiple metrics: the 100-year Global Warming Potential, the 100-year Global temperature Change Potential and 'GWP*', to provide insight into temporal dynamics. Uncertainties are also shown, with data from a large number of Monte Carlo Simulation runs.
The work was supported by the Natural Environment Research Council (NE/W004976/1).
The work was supported by the Natural Environment Research Council (NE/W004976/1).
Publication date: 2026-03-09
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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
Provenance & quality
National Inventory Report approaches were used to generate emission estimates and uncertainties. Emissions were then converted to different forms of 'carbon dioxide equivalence' using standard reporting metrics.
The dataset reports model runs from a Monte Carlo Simulation and resultant means, standard errors and upper and lower 95% confidence intervals for modelled greenhouse gas emissions associated with peatlands before and after restoration, from case-study areas reported by The Wildlife Trusts. The Monte Carlo Simulation used randomly selected individual emission factors within their uncertainty ranges for the original, current and target peatland conditions provided by The Wildlife Trusts. Original peatland area data that was used for this remains owned by individual Wildlife Trusts and is not included. Emission factors and their uncertainty ranges were from Evans et al (2023) report titled "Aligning the Peatland Code with the UK Peatland Inventory" (see below).
The dataset reports model runs from a Monte Carlo Simulation and resultant means, standard errors and upper and lower 95% confidence intervals for modelled greenhouse gas emissions associated with peatlands before and after restoration, from case-study areas reported by The Wildlife Trusts. The Monte Carlo Simulation used randomly selected individual emission factors within their uncertainty ranges for the original, current and target peatland conditions provided by The Wildlife Trusts. Original peatland area data that was used for this remains owned by individual Wildlife Trusts and is not included. Emission factors and their uncertainty ranges were from Evans et al (2023) report titled "Aligning the Peatland Code with the UK Peatland Inventory" (see below).
Licensing and constraints
Creative Commons Attribution 4.0 International License (CC BY 4.0)
Cite this dataset as:
Lynch, J.; Zhang, X. (2026). Peatland restoration greenhouse emissions and uncertainties under multiple emission metrics from a modelling case-study in the UK. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/a295a07f-613d-4787-a933-48174db301be
Supplemental information
The data provided here are built on management information and related data provided by individual Wildlife Trusts: these precursor data remain the property of the Trusts, and are not included here. This data set can still be interpreted and use without these precursor data. This is part of the study described in Xiao Zhang, Minna Ots, Eleanor Johnston, Kathryn Brown, Nigel Doar, John Lynch, Peatland restoration can provide climate change mitigation over all time-scales: A UK case-study. bioRxiv 2024.12.10.627721
Evans, C., Artz, R., Burden, A., Clilverd, H., Freeman, B., Heinemeyer, A., Lindsay, R., Morrison, R., Potts, J., Reed, M. & Williamson, J. (2023), Aligning the peatland code with the UK peatland inventory, Report to Defra and the IUCN Peatland Programme, March 2022 (Updated January 2023)
Correspondence/contact details
Authors
Lynch, J.
Natural Environment Research Council
Zhang, X.
University of Oxford
Other contacts
Publisher
NERC EDS Environmental Information Data Centre
info@eidc.ac.uk
Rights holder
University of Oxford
Additional metadata
Funding
Natural Environment Research Council Award: NE/W004976/1
