Research data supporting the publication "Global atmospheric methane uptake by upland tree woody surfaces"

Data included in this file contains methane fluxes from tree stems which is the main data from Gauci et al 2024 published at Nature. The dataset contains 6 different variables: Location: place where stem fluxes were measured (i.e. Cuniã in Brazil, Gigante in Panama, MOYA in Brazil, Skogaryd in Sweden and Wytham in the United Kingdom. Species: tree species identity where each measurement was performed. "Multiple species" is assigned to Cuniã and MOYA, since species identity was not recorded. Plot_no: For certain locations, trees were distributed in different plots or areas Height: stem height where each chamber measurement was performed, measured from the ground. Units: meters Tree_no: unique identifier of measured trees Stem_flux: methane flux from tree stems measured with portable greenhouse gas analysers using closet chambers. Units: µg CH4 m-2 hr-

BIFoR FACE 2018 bioaerosols data

A dataset collected in the Birmingham Institute of Forest Research (BIFoR) Free Air Carbon Dioxide Enrichment (FACE) experiment. A pair of Optical Particle Counters and accompanying instrumentation were installed in a pair of BIFoR FACE arrays at a time (one elevated CO2 treatment array, one ambient control array), between 9th November and 13th December 2018

BIFoR FACE environmental monitoring data

This dataset contains environmental data (usually daily averages) measured at the Birmingham Institute of Forest Research free-air carbon enrichment (BIFoR FACE) facility and the surrounding area. It includes weather data, soil moisture and soil temperature, stream data (discharge and temperature) and CO2 delivery data from the FACE experiment

Stand-replacing disturbance rotation periods

Carbon stock and carbon turnover flux outputs from the LPJ-GUESS dynamic global vegetation model, as forced by observation-based stand-replacing disturbance rotation periods (τ O ). Outputs area means over the period 2001-2014 and were calculated at 0.5 x 0.5 degree spatial resolution. Multiple simulations are provided, including a baseline simulation with the best-estimate of τ O , simulations forced by the upper and lower 95% confidence intervals of τ O , and sensitivity simulations in which τ O was modified by a scalar between 0.25 and 4. These sensitivity simulations were also repeated with differing assumptions regarding the form of disturbance. A full description of the data can be found in the paper to which it relates: Pugh, T.A.M., Arneth, A., Kautz, M., Poulter, B., Smith, B., Important role of forest disturbances for global biomass turnover and carbon sinks. Nature Geoscience, 2019. If using this data, please cite both this dataset and the original paper. tauO_{realisation}_{method}_{correction}.nc “realisation” is whether this is the standard (i.e. best-estimate) of τ O or the 2.5 th or 97.5 th percentile of the confidence interval (standard, 2p5percconf, 97p5percconf). “method” is whether a forest-area or canopy-area based approach was used to calculate τ O . Forest-area was the primary definition used in the accompanying paper. “correction” is whether or not the τ O was calculated after applying a land-use change correction to the raw forest loss data (LUcorrected, noLUcorrection). It is only recommended to use the LUcorrected τ O , and the noLUcorrection is only provided for completeness.Please see headers of the individual netcdf files for further information. (years

Stand-replacing disturbance rotation periods

Carbon stock and carbon turnover flux outputs from the LPJ-GUESS dynamic global vegetation model, as forced by observation-based stand-replacing disturbance rotation periods (τ O ). Outputs area means over the period 2001-2014 and were calculated at 0.5 x 0.5 degree spatial resolution. Multiple simulations are provided, including a baseline simulation with the best-estimate of τ O , simulations forced by the upper and lower 95% confidence intervals of τ O , and sensitivity simulations in which τ O was modified by a scalar between 0.25 and 4. These sensitivity simulations were also repeated with differing assumptions regarding the form of disturbance. A full description of the data can be found in the paper to which it relates: Pugh, T.A.M., Arneth, A., Kautz, M., Poulter, B., Smith, B., Important role of forest disturbances for global biomass turnover and carbon sinks. Nature Geoscience, 2019. If using this data, please cite both this dataset and the original paper. tauO_{realisation}_{method}_{correction}.nc “realisation” is whether this is the standard (i.e. best-estimate) of τ O or the 2.5 th or 97.5 th percentile of the confidence interval (standard, 2p5percconf, 97p5percconf). “method” is whether a forest-area or canopy-area based approach was used to calculate τ O . Forest-area was the primary definition used in the accompanying paper. “correction” is whether or not the τ O was calculated after applying a land-use change correction to the raw forest loss data (LUcorrected, noLUcorrection). It is only recommended to use the LUcorrected τ O , and the noLUcorrection is only provided for completeness.Please see headers of the individual netcdf files for further information. (years

Carbon turnover from forest disturbances

Carbon stock and carbon turnover flux outputs from the LPJ-GUESS dynamic global vegetation model, as forced by observation-based stand-replacing disturbance rotation periods (τO). Outputs area means over the period 2001-2014 and were calculated at 0.5 x 0.5 degree spatial resolution. Multiple simulations are provided, including a baseline simulation with the best-estimate of τO, simulations forced by the upper and lower 95% confidence intervals of τO, and sensitivity simulations in which τO was modified by a scalar between 0.25 and 4. These sensitivity simulations were also repeated with differing assumptions regarding the form of disturbance. A full description of the data can be found in the paper to which it relates: Pugh, T.A.M., Arneth, A., Kautz, M., Poulter, B., Smith, B., Nature Geoscience, 2019. If using this data, please cite both this dataset and the original paper. {variable}_LPJ-GUESS_{realisation}_{disturbance-type}_{disturbance-multiplier}_p{number-of-replicate-patches}.nc. Please see accompanying description file for further information. (kg C m-2

Carbon turnover from forest disturbances

Carbon stock and carbon turnover flux outputs from the LPJ-GUESS dynamic global vegetation model, as forced by observation-based stand-replacing disturbance rotation periods (τO). Outputs area means over the period 2001-2014 and were calculated at 0.5 x 0.5 degree spatial resolution. Multiple simulations are provided, including a baseline simulation with the best-estimate of τO, simulations forced by the upper and lower 95% confidence intervals of τO, and sensitivity simulations in which τO was modified by a scalar between 0.25 and 4. These sensitivity simulations were also repeated with differing assumptions regarding the form of disturbance. A full description of the data can be found in the paper to which it relates: Pugh, T.A.M., Arneth, A., Kautz, M., Poulter, B., Smith, B., Nature Geoscience, 2019. If using this data, please cite both this dataset and the original paper. {variable}_LPJ-GUESS_{realisation}_{disturbance-type}_{disturbance-multiplier}_p{number-of-replicate-patches}.nc. Please see accompanying description file for further information. (kg C m-2

Closed-canopy global forest mask

Closed-canopy forest mask based on the Global Forest Change v1.2 dataset for the year period 2000, described in Hansen et al. (2013, Science 342, 850-853). Forest canopy cover data at 0.00025° resolution was aggregated to 0.01° resolution. Grid cells with at least 50% canopy cover at 0.01° resolution were assigned as closed-canopy forest. Further aggregation then provided the fractional coverage of closed-canopy forest at 0.5 degree resolution. A full description of the data can be found in the paper to which it relates: Pugh, T.A.M., Arneth, A., Kautz, M., Poulter, B., Smith, B., Nature Geoscience, 2019. If using this data, please cite both this dataset and the original paper. Closed-canopy forest cover fraction (%

Closed-canopy global forest mask

Closed-canopy forest mask based on the Global Forest Change v1.2 dataset for the year period 2000, described in Hansen et al. (2013, Science 342, 850-853). Forest canopy cover data at 0.00025° resolution was aggregated to 0.01° resolution. Grid cells with at least 50% canopy cover at 0.01° resolution were assigned as closed-canopy forest. Further aggregation then provided the fractional coverage of closed-canopy forest at 0.5 degree resolution. A full description of the data can be found in the paper to which it relates: Pugh, T.A.M., Arneth, A., Kautz, M., Poulter, B., Smith, B., Nature Geoscience, 2019. If using this data, please cite both this dataset and the original paper. Closed-canopy forest cover fraction (%

Urban form strongly mediates the allometric scaling of airshed pollution concentrations

Data supporting the paper "Urban form strongly mediates the allometric scaling of airshed pollution concentrations" by A. R. MacKenzie, J. D. Whyatt, M. J. Barnes, G. Davies, and C. N. Hewit