{"accessLimitation":{"value":"no limitations to public access","code":"Available","uri":"http://purl.org/coar/access_right/c_abf2"},"authors":[{"familyName":"Goodwin","givenName":"C.E.D.","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-0093-9838","fullName":"Goodwin, C.E.D."},{"familyName":"Bütikofer","givenName":"L.","organisationName":"Rothamsted Research","organisationIdentifier":"https://ror.org/0347fy350","role":"author","email":"lucabutikofer@gmail.com","nameIdentifier":"https://orcid.org/0000-0001-8220-7520","fullName":"Bütikofer, L."},{"familyName":"Hatfield","givenName":"J.H.","organisationName":"University of York","organisationIdentifier":"https://ror.org/04m01e293","role":"author","email":"jack.hatfield@york.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-6361-0629","fullName":"Hatfield, J.H."},{"familyName":"Richter","givenName":"G.M.","organisationName":"Rothamsted Research","organisationIdentifier":"https://ror.org/0347fy350","role":"author","email":"goetz.richter@rothamsted.ac.uk","nameIdentifier":"https://orcid.org/0000-0003-2180-9514","fullName":"Richter, G.M."},{"familyName":"Redhead","givenName":"J.W.","organisationName":"UK Centre for Ecology & Hydrology","organisationIdentifier":"https://ror.org/00pggkr55","role":"author","email":"enquiries@ceh.ac.uk","nameIdentifier":"https://orcid.org/0000-0002-2233-3848","fullName":"Redhead, J.W."}],"availability":"Available","boundingBoxes":[{"westBoundLongitude":-8.648,"eastBoundLongitude":1.768,"southBoundLatitude":49.864,"northBoundLatitude":60.861,"bounds":"{\"type\": \"Feature\",      \"properties\": {},      \"geometry\": {        \"type\": \"Polygon\",        \"coordinates\": [[[-8.648, 49.864], [-8.648, 60.861], [1.768, 60.861], [1.768, 49.864], [-8.648, 49.864]]]      }}","coordinates":"[[[-8.648, 49.864], [-8.648, 60.861], [1.768, 60.861], [1.768, 49.864], [-8.648, 49.864]]]"}],"citation":{"authors":["Goodwin, C.E.D.","Bütikofer, L.","Hatfield, J.H.","Richter, G.M.","Redhead, J.W."],"bibtex":"https://catalogue.ceh.ac.uk/documents/3b44375a-cbe6-468c-9395-41471054d0f3/citation?format=bib","day":11,"doi":"10.5285/3b44375a-cbe6-468c-9395-41471054d0f3","month":7,"publisher":"NERC EDS Environmental Information Data Centre","resourceTypeGeneral":"dataset","ris":"https://catalogue.ceh.ac.uk/documents/3b44375a-cbe6-468c-9395-41471054d0f3/citation?format=ris","title":"Multi-tier archetypes to characterise British landscapes, farmland and farming practices","url":"https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3","year":2022},"custodians":[{"organisationName":"NERC EDS Environmental Information Data Centre","organisationIdentifier":"https://ror.org/04xw4m193","role":"custodian","email":"info@eidc.ac.uk"}],"datasetReferenceDate":{"publicationDate":"2022-07-11","releasedDate":"2022-08-22"},"description":"This dataset consists of landscape and agricultural management archetypes (1 km resolution) at three levels, defined by different opportunities for adaptation. Tier 1 archetypes quantify broad differences in soil, land cover and population across Great Britain, which cannot be readily influenced by the actions of land managers; Tier 2 archetypes capture more nuanced variations within farmland-dominated landscapes of Great Britain, over which land managers may have some degree of influence. Tier 3 archetypes are built at national levels for England and Wales and focus on socioeconomic and agro-ecological characteristics within farmland-dominated landscapes, characterising differences in farm management. The unavailability of several input variables for agricultural management prevented the generation of Tier 3 archetypes for Scotland.\n\nThe archetypes were derived by data-driven machine learning. The three tiers of archetypes were analysed separately and not as a nested structure (i.e. a single Tier 3 archetype can occur in more than one Tier 2 archetype), predominantly to ensure that archetype definitions were easily interpreted across tiers. 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(2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. In Environmental Research Letters (Vol. 17, Issue 9, p. 095002). IOP Publishing. ","url":"https://doi.org/10.1088/1748-9326/ac810e"}],"infoLinks":[{"url":"https://data-package.ceh.ac.uk/sd/3b44375a-cbe6-468c-9395-41471054d0f3.zip","name":"Supporting information","description":"Supporting information available to assist in re-use of this dataset","function":"information","type":"OTHER"}],"inspireThemes":[{"theme":"Agricultural and Aquaculture Facilities","uri":"http://inspire.ec.europa.eu/theme/af"}],"keywordsOther":[{"value":"Archetypes"},{"value":"Land systems"},{"value":"Great Britain"},{"value":"Farming"}],"keywordsProject":[{"value":"AgLand"}],"licences":[{"value":"This resource is available under the terms of the Open Government Licence","code":"license","uri":"https://eidc.ac.uk/licences/ogl/plain"}],"lineage":"Archetype data were generated from various spatial socioeconomic and bio-physical layers. These data were analysed using Self-Organising Maps (SOMs), which reduce the dimensions and cluster the data into similar groupings. This creates a pre-set number of Land System Archetypes, each associated with a group of representative 1km cells, at each tier.\n\nSOMs were run iteratively 1000 times to gain a measure of the consistency of the production of each set of Archetypes. Data are provided with a measure (Euclidean distance) of the accuracy of the assignment of archetypes for each 1km cell. Sensitivity analyses were conducted to test the inclusion of different data. 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