ae96d813-6468-421f-92c0-79f367cadbc3 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2026-02-06T13:36:12 UK GEMINI 2.3 EPSG:3035 - ETRS89-extended / LAEA Europe European-wide maps of modelled farm-level ecosystem services, 2019 2024-08-23 publication https://catalogue.ceh.ac.uk/id/ae96d813-6468-421f-92c0-79f367cadbc3 10.5285/ae96d813-6468-421f-92c0-79f367cadbc3 doi: Evans, P.M., Čejka, T., Václavík, T., Bullock, J.M. (2024). European-wide maps of modelled farm-level ecosystem services, 2019. NERC EDS Environmental Information Data Centre 10.5285/ae96d813-6468-421f-92c0-79f367cadbc3 The dataset presented provides average per-farm ecosystem service (ES) values for each NUTS3 region for Europe for the year 2019. The modelled ES are: carbon sequestration [t C ha-1 yr-1], food production (standard economic output) [euros yr-1], and nutrient (nitrogen) export [kg N yr-1]. The data is stored in vector files (GeoPackage). The per-farm ES values were modelled for five sub-country case studies and upscaled for each NUTS3 region where sufficient evidence supported a successful transfer and upscaling. Note that the criteria for upscaling the carbon sequestration were not met for any NUTS3 region and therefore the carbon sequestration is returned as NULL for each region. Full details about this dataset can be found at https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3 Evans, P.M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6706-420X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Evans, P.M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0001-6706-420X ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Čejka, T. Palacký University Olomouc (UPOL) tomas.cejka.94@gmail.com https://orcid.org/0000-0002-9254-8000 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Václavík, T. Palacký University Olomouc (UPOL) tomas.vaclavik@upol.cz https://orcid.org/0000-0002-1113-6320 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Bullock, J.M. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-0529-4020 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author University of Leeds EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication ecosystem services carbon sequestration food production (agriculture) GEMET - Concepts, version 4.1.3 2019-01-28 creation nitrogen export food and fodder production otherRestrictions no limitations otherRestrictions This resource is available under the Creative Commons Attribution Licence (CC BY 4.0) otherRestrictions If you reuse this data, you should cite: Evans, P.M., Čejka, T., Václavík, T., Bullock, J.M. (2024). European-wide maps of modelled farm-level ecosystem services, 2019. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3 vector 1 English utf8 environment 2019-01-01 2019-12-31 -12.405 45.603 34.579 71.124 GeoPackage unkown NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/ae96d813-6468-421f-92c0-79f367cadbc3 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/ae96d813-6468-421f-92c0-79f367cadbc3.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset 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 2010-12-08 The data is a result of upscaling ecosystem services (ES) across the whole of Europe from five sub-country case studies. Each case study was divided into the NUTS3 regions it covered, which ranged from two to five regions per case study. In total, the data were split into 19 different NUTS3 regions. The case study data used farm data from 2019, and used the most recent environmental and economic data available, which ranged from 2013 – 2019. The original case study nitrogen export model was a process-based model, namely the InVEST Nutrient Delivery Ratio model. Food production was simulated using the mechanistic WOFOST (WOrld FOod STudies) model. Carbon sequestration was modelled using a statistical model. For a more detailed account of the case study models, please see the supporting documentation. A novel methodology was used for the upscaling. The method used compared the predictive power (R2) of meta-models produced in each case study NUTS3 with the Minkowski distance (a metric of distance in multivariate space) of those regions. Quality control of each ecosystem service data was mostly carried out through the development of a novel meta-modelling and transferability methodology. The limitations on the data’s reliability vary depending on the specific ecosystem service that was modelled, and are further explained in the supporting documentation.