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Multi-tier archetypes to characterise British landscapes, farmland and farming practices

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. Full details about this dataset can be found at https://doi.org/10.5285/3b44375a-cbe6-468c-9395-41471054d0f3

Simple

Date (Publication)
2022-07-11
Identifier
https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3
Identifier
doi: / 10.5285/3b44375a-cbe6-468c-9395-41471054d0f3
Other citation details
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 10.5285/3b44375a-cbe6-468c-9395-41471054d0f3
Point of contact
  UK Centre for Ecology & Hydrology - Goodwin, C.
https://orcid.org/0000-0003-0093-9838
Author
  UK Centre for Ecology & Hydrology - Goodwin, C.E.D.
https://orcid.org/0000-0003-0093-9838
Author
  Rothamsted Research - Bütikofer, L.
https://orcid.org/0000-0001-8220-7520
Author
  University of York - Hatfield, J.H.
https://orcid.org/0000-0002-6361-0629
Author
  Rothamsted Research - Richter, G.M.
https://orcid.org/0000-0003-2180-9514
Author
  UK Centre for Ecology & Hydrology - Redhead, J.W.
https://orcid.org/0000-0002-2233-3848
Custodian
  NERC EDS Environmental Information Data Centre
Publisher
  NERC EDS Environmental Information Data Centre
Owner
  UK Centre for Ecology & Hydrology
Owner
  Rothamsted Research
GEMET - INSPIRE themes, version 1.0
  • Agricultural and Aquaculture Facilities
Access constraints
otherRestrictions Other restrictions
Other constraints
no limitations
Use constraints
otherRestrictions Other restrictions
Other constraints
This resource is available under the terms of the Open Government Licence
Use constraints
otherRestrictions Other restrictions
Other constraints
If you reuse this data, you should cite: 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
Spatial representation type
grid Grid
Distance
1000  urn:ogc:def:uom:EPSG::9001
Metadata language
EnglishEnglish
Character set
utf8 UTF8
Topic category
  • Farming
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S
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W
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Unique resource identifier
OSGB 1936 / British National Grid
Distribution format
  • TIFF ()

Distributor
  NERC EDS Environmental Information Data Centre
OnLine resource
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Supporting information

Supporting information available to assist in re-use of this dataset

Hierarchy level
dataset Dataset
Other
dataset

Conformance result

Date (Publication)
2010-12-08
Statement
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.
File identifier
3b44375a-cbe6-468c-9395-41471054d0f3 XML
Metadata language
EnglishEnglish
Character set
ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
Hierarchy level
dataset Dataset
Hierarchy level name
dataset
Date stamp
2025-11-05T08:31:10
Metadata standard name
UK GEMINI
Metadata standard version
2.3
Point of contact
  NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg , Lancaster , LA1 4AP , UK
https://eidc.ac.uk/
 
 

Overviews

Spatial extent

N
S
E
W
thumbnail


Keywords

GEMET - INSPIRE themes, version 1.0
Agricultural and Aquaculture Facilities

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