BGS Hosted Metadata
Ensemble outputs among contemporary ecosystem service models for water supply and aboveground carbon storage in the UK following 10 different methods
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. Full details about this dataset can be found at https://doi.org/10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38
Simple
- Date (Publication)
- 2021-11-22
- Citation identifier
- https://catalogue.ceh.ac.uk/id/a9ae773d-b742-4d42-ae42-2b594bae5d38
- Citation identifier
- doi: / 10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38
- Other citation details
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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 10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38
- Point of contact
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Organisation name Individual name Electronic mail address Role Lactuca: Environmental Data Analyses and Modelling
Hooftman, D.A.P. Author UK Centre for Ecology & Hydrology Bullock, J.M. Author UK Centre for Ecology & Hydrology Jones, L. Author Bangor University Willcock, S. Author Lactuca: Environmental Data Analyses and Modelling
Hooftman, D.A.P.
Point of contact NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher Bangor University EMAIL NOT PROVIDED
Owner
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GEMET - INSPIRE themes, version 1.0
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Land Cover
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Hydrography
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GEMET - Concepts, version 4.1.3
- Keywords
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United Kingdom
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ensemble modelling
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weighted averaging
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- Access constraints
- Other restrictions
- Other constraints
- no limitations
- Use constraints
- Other restrictions
- Use constraints
- Other restrictions
- Other constraints
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If you reuse this data, you should cite: 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
- Spatial representation type
- Grid
- Distance
- 25 urn:ogc:def:uom:EPSG::9001
- Distance
- 10 urn:ogc:def:uom:EPSG::9001
- Distance
- 5 urn:ogc:def:uom:EPSG::9001
- Distance
- 20 urn:ogc:def:uom:EPSG::9001
- Distance
- 46000 urn:ogc:def:uom:EPSG::9001
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Distance
- 10000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Inland waters
- Biota
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- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
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Name Version TIFF
- Distributor contact
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre
Distributor
- OnLine resource
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Protocol Linkage Name https://catalogue.ceh.ac.uk/datastore/eidchub/a9ae773d-b742-4d42-ae42-2b594bae5d38 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/a9ae773d-b742-4d42-ae42-2b594bae5d38.zip Supporting information
- Hierarchy level
- Dataset
- Other
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dataset
Conformance result
- Title
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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
- Date (Publication)
- 2010-12-08
- Statement
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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.
Metadata
- File identifier
- a9ae773d-b742-4d42-ae42-2b594bae5d38 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-11-13T16:20:41
- Metadata standard name
- UK GEMINI
- Metadata standard version
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2.3
- Metadata author
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Organisation name Individual name Electronic mail address Role NERC EDS Environmental Information Data Centre Point of contact
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