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
dataset
https://catalogue.ceh.ac.uk/datastore/eidchub/3b44375a-cbe6-468c-9395-41471054d0f3
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description: Download a copy of this data
function: download
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
https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3
doi:
eng
farming
Agricultural and Aquaculture Facilities
publication
2008-06-01
Archetypes
Land systems
Great Britain
Farming
AgLand
-8.648
1.768
60.861
49.864
publication
2022-07-11
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.
publication
2010-12-08
TIFF
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
UK Centre for Ecology & Hydrology
pointOfContact
UK Centre for Ecology & Hydrology
author
Rothamsted Research
author
University of York
author
Rothamsted Research
author
UK Centre for Ecology & Hydrology
author
NERC EDS Environmental Information Data Centre
custodian
NERC EDS Environmental Information Data Centre
publisher
UK Centre for Ecology & Hydrology
owner
Rothamsted Research
owner
Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
pointOfContact
2023-07-26T08:08:40