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Hooftman, D.A.P.; Bullock, J.M.; Jones, L.; Willcock, S.

Ensemble outputs among contemporary ecosystem service models for water supply and aboveground carbon storage in the UK following 10 different methods

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https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38
This data set contains UK-wide maps of ten different among-model ensemble approaches for two services: above ground Carbon stock and water supply. The data for Carbon comes as fourteen TIF maps for above ground carbon storage at a 1-km2 resolution with associated world files: ten approaches, with a double option for two of those, together with maps of variation among models and among ensembles. For water, the data comes as one shapefile with polygons per watershed, each polygon containing these fourteen estimates. For all maps, 600dpi jpg depictions are added to the supporting information. Directory location independent layer files are included to aid scaling and providing the colour palettes.

Ensemble output maps were calculated with different approaches following the supporting documentation and associated publication. Uncertainty estimates for these services are included as variation among contributing model outputs and among the employed ensemble approaches.

The work was completed under the ‘EnsemblES - Using ensemble techniques to capture the accuracy and sensitivity of ecosystem service models’ project (NE/T00391X/1) funded by the UKRI Landscape Decisions programme.
Publication date: 2021-11-22
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More information

View numbers valid from 01 June 2023 Download numbers valid from 20 June 2024 (information prior to this was not collected)

Format

TIFF

Spatial information

Study area
Spatial representation type
Raster
Spatial reference system
OSGB 1936 / British National Grid

Provenance & quality

The ensembles, their approach methodology, and their validations are currently under review in Ecosystem Services as Hooftman et al. (2022): Weighted Ensembles Reduce Uncertainty in Ecosystem Service Modelling. Relevant Matlab and Python codes can be found at github.com/EnsemblesTypes.

Among model ensembles for above ground standing carbon are provided as 1-km2 gridcells; Water supply ensembles are provided per catchment polygons associated to the 519 selected National River Flow Archive gauging stations in this study.

Model data included outputs from among others: InVest, ARIES, WaterWorld, LUCI, LPJ-GUESS, TEEB, Scholes, Aqueduct, Grid-to-Grid, and DECIPHeR. These data sets are not provided here, but a full list with links to these data sets or software, where applicable, can be found in the supporting documentation. Note that license restrictions could apply. Ensembles approaches include: unweighted (mean and median) approaches, weighted averaging with weights determined following multiple methods (deterministic and iterative), attribute weighted averaging, and trained approaches. Uncertainty is presented by the Standard Error of Mean among contributing model outputs and among ensemble approaches, calculated as the standard deviation corrected with the amount of contributing models/ensembles per cell.

Prior to ensemble calculations: all individual model outputs have been normalised against the lower 2.5% and upper 97.5% percentile. Afterwards, the resulting Ensembles have been identically re-normalised to ensure a 0-1 scale. For all details about the individual model approaches, their synchronisation, ensemble algorithms and their validation we refer to the supporting documentation and associated publication.

Licensing and constraints

This dataset is available under the terms of the Open Government Licence

Cite this dataset as:
Hooftman, D.A.P.; Bullock, J.M.; Jones, L.; Willcock, S. (2021). Ensemble outputs among contemporary ecosystem service models for water supply and aboveground carbon storage in the UK following 10 different methods. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38

Correspondence/contact details

Hooftman, D.A.P.
Lactuca: environmental data analyses and Modelling
THE NETHERLANDS
 Danny.hooftman@lactuca.nl

Authors

Hooftman, D.A.P.
Lactuca: environmental data analyses and Modelling
Bullock, J.M.
UK Centre for Ecology & Hydrology
Jones, L.
UK Centre for Ecology & Hydrology
Willcock, S.
Bangor University

Other contacts

Rights holder
Bangor University
Custodian
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk
Publisher
NERC EDS Environmental Information Data Centre
 info@eidc.ac.uk

Additional metadata

Topic categories
biota
inlandWaters
INSPIRE themes
Hydrography
Land Cover
Keywords
carbon stock , ecosystem services , ensemble modelling , modelling , natural capital , sustainable development , United Kingdom , water supply , weighted averaging
Funding
Natural Environment Research Council Award: NE/T00391X/1
Last updated
27 February 2024 16:22