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dcterms:title "Multi-tier archetypes to characterise British landscapes, farmland and farming practices" ;
dcterms:identifier <https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3> ;
adms:identifier <https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3> ;
dcterms:bibliographicCitation "Goodwin, C.E.D., Bütikofer, L., Hatfield, J.H., Richter, G.M., Redhead, J.W. (2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. NERC EDS Environmental Information Data Centre. https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3" ;
dcterms: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. The 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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rdfs:label "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. SOMs 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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dcterms:subject
"AgLand",
"Archetypes",
"Land systems",
"Great Britain",
"Farming" ;
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dcterms:bibliographicCitation "Goodwin, C.E.D., Bütikofer, L., Hatfield, J.H., Evans, P.M., Bullock, J.M., Storkey, J., Mead, A., Richter, G.M., Henrys, P.A., Pywell, R.F., & Redhead, J.W. (2022). Multi-tier archetypes to characterise British landscapes, farmland and farming practices. In Environmental Research Letters (Vol. 17, Issue 9, p. 095002). IOP Publishing.";
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