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
dataset
https://catalogue.ceh.ac.uk/datastore/eidchub/a9ae773d-b742-4d42-ae42-2b594bae5d38
name: Download the data
description: Download a copy of this data
function: download
https://data-package.ceh.ac.uk/sd/a9ae773d-b742-4d42-ae42-2b594bae5d38.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/a9ae773d-b742-4d42-ae42-2b594bae5d38
doi:
eng
inlandWaters
biota
Land Cover
Hydrography
publication
2008-06-01
United Kingdom
carbon stocks
Ecosystem services
ensemble modelling
natural capital
sustainable development
water supply
weighted averaging
-8.648
1.768
60.861
49.864
publication
2021-11-22
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.
publication
2010-12-08
TIFF
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
Lactuca: environmental data analyses and Modelling
author
UK Centre for Ecology & Hydrology
author
UK Centre for Ecology & Hydrology
author
Bangor University
author
Lactuca: environmental data analyses and Modelling
pointOfContact
NERC EDS Environmental Information Data Centre
custodian
NERC EDS Environmental Information Data Centre
publisher
University of Bangor
owner
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2021-11-24T09:41:08