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PREFIX : <https://catalogue.ceh.ac.uk/id/>
:ae96d813-6468-421f-92c0-79f367cadbc3
dcterms:title "European-wide maps of modelled farm-level ecosystem services, 2019" ;
dcterms:identifier "https://catalogue.ceh.ac.uk/id/ae96d813-6468-421f-92c0-79f367cadbc3","https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3" ;
dcterms:bibliographicCitation "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" ;
dcterms:description "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." ;
dcterms:provenance [
a dcterms:ProvenanceStatement ;
rdfs:label "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."
] ;
dcterms:spatial [
a dcterms:Location ;
dcat:bbox "POLYGON((-12.405 34.579, -12.405 71.124, 45.603 71.124, 45.603 34.579, -12.405 34.579))"^^geo:wktLiteral ;
] ;
dcterms:temporal
[ a dcterms:PeriodOfTime ;
dcat:startDate "2019-01-01"^^xsd:date ;
dcat:endDate "2019-12-31"^^xsd:date ;
] ;
dcat:contactPoint
<https://orcid.org/0000-0001-6706-420X> ;
dcterms:publisher
<https://ror.org/04xw4m193> ;
dcterms:subject
<http://www.eionet.europa.eu/gemet/concept/15138>,
<http://www.eionet.europa.eu/gemet/concept/15091>,
"nitrogen export",
<http://www.eionet.europa.eu/gemet/concept/3378>,
"food and fodder production" ;
prov:wasGeneratedBy
<https://doi.org/10.3030/817501> ;
a dcat:Dataset;
dcterms:type dcmitype:Dataset ;
dcterms:available "2024-08-23"^^xsd:date ;
dcat:landingPage <https://catalogue.ceh.ac.uk/id/ae96d813-6468-421f-92c0-79f367cadbc3>, <https://doi.org/10.5285/ae96d813-6468-421f-92c0-79f367cadbc3> ;
dcterms:license <https://eidc.ac.uk/licences/cc-by/plain>
;
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dcat:distribution [
dcat:accessURL
<https://data-package.ceh.ac.uk/data/ae96d813-6468-421f-92c0-79f367cadbc3> ;
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;
dcterms:accessRights <http://purl.org/coar/access_right/c_abf2> ;
dcterms:format
[
a dcterms:IMT ;
rdf:value "GeoPackage" ; rdfs:label "GeoPackage"
] ;
];
dcterms:creator
<https://orcid.org/0000-0001-6706-420X>,
<https://orcid.org/0000-0002-9254-8000>,
<https://orcid.org/0000-0002-1113-6320>,
<https://orcid.org/0000-0003-0529-4020> ;
dcterms:language <http://id.loc.gov/vocabulary/iso639-1/en> .
<https://orcid.org/0000-0001-6706-420X> a foaf:Person ;
foaf:name "Evans, P.M." ;
foaf:familyName "Evans" ;
foaf:givenName "P.M." ;
vcard:hasEmail "enquiries@ceh.ac.uk" ;
foaf:member <https://ror.org/00pggkr55> ;
.
<https://ror.org/04xw4m193> a foaf:Organization ;
foaf:name "NERC EDS Environmental Information Data Centre" ;
vcard:hasEmail "info@eidc.ac.uk" ;
foaf:member <https://ror.org/04xw4m193> ;
.
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foaf:name "Evans, P.M." ;
foaf:familyName "Evans" ;
foaf:givenName "P.M." ;
vcard:hasEmail "enquiries@ceh.ac.uk" ;
foaf:member <https://ror.org/00pggkr55> ;
.
<https://orcid.org/0000-0002-9254-8000> a foaf:Person ;
foaf:name "Čejka, T." ;
foaf:familyName "Čejka" ;
foaf:givenName "T." ;
vcard:hasEmail "tomas.cejka.94@gmail.com" ;
foaf:member <https://ror.org/04qxnmv42> ;
.
<https://orcid.org/0000-0002-1113-6320> a foaf:Person ;
foaf:name "Václavík, T." ;
foaf:familyName "Václavík" ;
foaf:givenName "T." ;
vcard:hasEmail "tomas.vaclavik@upol.cz" ;
foaf:member <https://ror.org/04qxnmv42> ;
.
<https://orcid.org/0000-0003-0529-4020> a foaf:Person ;
foaf:name "Bullock, J.M." ;
foaf:familyName "Bullock" ;
foaf:givenName "J.M." ;
vcard:hasEmail "enquiries@ceh.ac.uk" ;
foaf:member <https://ror.org/00pggkr55> ;
.
<http://www.eionet.europa.eu/gemet/concept/15138> a skos:Concept;
skos:prefLabel "ecosystem services"; rdfs:label "ecosystem services"
. <http://www.eionet.europa.eu/gemet/concept/15091> a skos:Concept;
skos:prefLabel "carbon sequestration"; rdfs:label "carbon sequestration"
. <http://www.eionet.europa.eu/gemet/concept/3378> a skos:Concept;
skos:prefLabel "food production (agriculture)"; rdfs:label "food production (agriculture)"
.
<https://ror.org/00pggkr55> a foaf:Organization ;
foaf:name "UK Centre for Ecology & Hydrology" .
<https://ror.org/04qxnmv42> a foaf:Organization ;
foaf:name "Palacký University Olomouc (UPOL)" .
<https://doi.org/10.3030/817501> a prov:Activity ; rdfs:label "Horizon 2020 research and innovation programme - BESTMAP" .