BGS Hosted Metadata
Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production
This data set contains Global maps of five ecosystem services using 6 different among-model ensemble approaches: the provisioning services of water supply, biomass for fuelwood and forage production, the regulating service Carbon Storage for CO2 retention and the cultural non-material service Recreation. For water, the data comes as one shapefile with polygons per watershed, each polygon containing seven ensemble estimates. The other services – recreation, carbon storage, biomass for fuelwood and forage production – come as seven tiff- maps at a 1-km2 resolution with associated world files for each tiff-map contains 43,200 x 18,600 pixels for one ensemble approach, with LZW compressed file sizes between 400MB and 950MB. For all maps, 600dpi jpg depictions are added to the supporting information with uniform colour scaling set for the median ensemble per service. 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, with additional funding from ES/R009279/1 (MobilES) & ES/T007877/1 (RUST). Full details about this dataset can be found at https://doi.org/10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86
Simple
- Date (Publication)
- 2023-01-23
- Citation identifier
- https://catalogue.ceh.ac.uk/id/bd940dad-9bf4-40d9-891b-161f3dfe8e86
- Citation identifier
- doi: / 10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86
- Other citation details
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Hooftman, D.A.P., Bullock, J.M., Neugarten, R.A., Chaplin-Kramer, R., Willcock, S. (2023). Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production. NERC EDS Environmental Information Data Centre 10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86
- 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 Cornell University
Neugarten, R.A. Author Natural Capital Project
Chaplin-Kramer, R. Author Bangor University
Willcock, S. Author Bangor University EMAIL NOT PROVIDED
Owner Lactuca: environmental data analyses and Modelling, The Netherlands
Hooftman, D.A.P.
Point of contact NERC EDS Environmental Information Data Centre Custodian NERC EDS Environmental Information Data Centre Publisher
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GEMET - INSPIRE themes, version 1.0
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Environmental Monitoring Facilities
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Land Use
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- Access constraints
- Other restrictions
- Other constraints
- Registration is required to access this data
- Use constraints
- Other restrictions
- Use constraints
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If you reuse this data, you should cite: Hooftman, D.A.P., Bullock, J.M., Neugarten, R.A., Chaplin-Kramer, R., Willcock, S. (2023). Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/bd940dad-9bf4-40d9-891b-161f3dfe8e86
- Spatial representation type
- Grid
- Spatial representation type
- Vector
- Distance
- 1000 urn:ogc:def:uom:EPSG::9001
- Language
- English
- Character set
- UTF8
- Topic category
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- Environment
- Economy
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- Unique resource identifier
- WGS 84
- Distribution format
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Name Version TIFF
Shapefile
- 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/bd940dad-9bf4-40d9-891b-161f3dfe8e86 Download the data
- OnLine resource
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Protocol Linkage Name https://data-package.ceh.ac.uk/sd/bd940dad-9bf4-40d9-891b-161f3dfe8e86.zip Supporting information
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- 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 in revision after review in Science Advances as Willcock et al. (2023): Model Ensembles of Ecosystem Services Fill Global Certainty and Capacity Gaps. Relevant Matlab and Python codes can be found at https://github.com/GlobalEnsembles Global among model ensembles for recreation, carbon storage, and biomass for fuelwood and forage production are provided as 1-km2 gridcells; water supply ensembles are provided per catchment polygons associated to the 15,289 worldwide HydroSHEDS catchment definitions ( https://www.hydrosheds.org/). Model data included outputs from among others: InVEST, ARIES, WaterWorld, Co$ting Nature, LPJ-GUESS, TEEB, Scholes, Aqueduct, FAO livestock distributions, and a wide variety of biomass models such as from ESA CCI Biomass Climate Change Initiative, GEOCARBON global forest biomass and Global Forest Watch. 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 and weighted averaging with weights determined following multiple methods according to Hooftman et al. (2022): the deterministic correlation coefficient among models, the first principal component among models and weights iterated as regression to the median and leave-one-out cross validation. 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
- bd940dad-9bf4-40d9-891b-161f3dfe8e86 XML
- Metadata language
- English
- Character set
- 8859 Part 1
- Hierarchy level
- Dataset
- Hierarchy level name
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dataset
- Date stamp
- 2025-03-21T10:51:27
- 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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