Global ensembles of Ecosystem Service map outputs modelled at 1km resolution for water supply, recreation, carbon storage, fuelwood and forage production

• Published by: Environmental Information Data Centre
• Last updated: 17 May 2023
• Topic: Not added
• Licence: Other Licence ; View licence information

Summary

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

More from this publisher

All datasets from Environmental Information Data Centre

Related datasets

• Ensemble outputs among contemporary ecosystem service models for water supply and aboveground carbon storage in the UK following 10 different methods
• Ensemble outputs from Ecosystem Service models for water supply, aboveground carbon storage and use of water, grazing, charcoal and firewood by beneficiaries in sub-Saharan Africa
• Modelled potential carbon storage based on land cover and published carbon storage values in urban landscapes of the South Midlands
• Mean and variability of topsoil organic carbon concentrations across Great Britain at 1km resolution from an ensemble of eight digital soil maps

Search

Data links

Link to the data	Format	File added	Data preview
Supporting information	ZIP	17 May 2023	Not available
Download the data	N/A	17 May 2023	Not available

Additional information

View additional metadata

• Added to data.gov.uk: 2023-05-15T13:26:58
• Access contraints: 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
• Harvest GUID: bd940dad-9bf4-40d9-891b-161f3dfe8e86
• Extent: Latitude: 90° to -90°
• Extent: Longitude: -180° to 180°
• Dataset reference date: 2023-01-23 (publication)
• Responsible party: Lactuca: environmental data analyses and Modelling, (author); UK Centre for Ecology & Hydrology (author); Cornell University (author); Natural Capital Project (author); Bangor University (author, owner); Lactuca: environmental data analyses and Modelling, The Netherlands (pointOfContact); NERC EDS Environmental Information Data Centre (custodian, publisher)
• ISO 19139 resource type: dataset
• Metadata language: eng
• Source Metadata: XML
• Source Metadata: HTML

Contact

Enquiries

Environmental Information Data Centre

Freedom of Information (FOI) requests

UK Centre for Ecology & Hydrology enquiry service Freedom of information requests for this dataset

Licence information

[]