NERC Data Catalogue Service
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
Default
Identification info
- Metadata Language
- English (en)
- Character set
- utf8
- Dataset Reference Date ()
- 2021-11-22
- Identifier
- doi: / 10.5285/a9ae773d-b742-4d42-ae42-2b594bae5d38
- Other citation details
- 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
- GEMET - INSPIRE themes, version 1.0 ()
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- Land Cover
- Hydrography
- Keywords
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- United Kingdom
- carbon stocks
- Ecosystem services
- ensemble modelling
- natural capital
- sustainable development
- water supply
- weighted averaging
- Limitations on Public Access
- otherRestrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions
- Use constraints
- otherRestrictions
- Other constraints
- 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
- Topic category
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- Inland waters
- Biota
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Distribution Information
- Data format
-
-
TIFF
()
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TIFF
()
- Resource Locator
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Download the data
Download a copy of this data
- Resource Locator
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Supporting information
Supporting information available to assist in re-use of this dataset
- Resource Locator
-
Download the data
Download a copy of this data
- Resource Locator
-
Supporting information
Supporting information available to assist in re-use of this dataset
- Quality Scope
- dataset
- Other
- dataset
Report
- Dataset Reference Date ()
- 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 (en)
- Character set
- ISO/IEC 8859-1 (also known as Latin 1)
- Resource type
- dataset
- Hierarchy level name
- dataset
- Metadata Date
- 2022-09-30T09:39:42
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
