Identification

Title

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

Abstract

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

Resource type

dataset

Resource locator

https://catalogue.ceh.ac.uk/datastore/eidchub/3b44375a-cbe6-468c-9395-41471054d0f3

name: Download the data

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

Unique resource identifier

code

https://catalogue.ceh.ac.uk/id/3b44375a-cbe6-468c-9395-41471054d0f3

codeSpace

doi:

Dataset language

eng

Spatial reference system

code identifying the spatial reference system

Classification of spatial data and services

Topic category

farming

Keywords

Keyword set

keyword value

Agricultural and Aquaculture Facilities

originating controlled vocabulary

title

GEMET - INSPIRE themes, version 1.0

reference date

date type

publication

effective date

2008-06-01

Keyword set

keyword value

Archetypes

Land systems

Great Britain

Farming

AgLand

Geographic location

West bounding longitude

-8.648

East bounding longitude

1.768

North bounding latitude

60.861

South bounding latitude

49.864

Temporal reference

Temporal extent

Begin position

End position

Dataset reference date

date type

publication

effective date

2022-07-11

Frequency of update

Quality and validity

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. 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.

Conformity

Conformity report

specification

title

Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services

reference date

date type

publication

effective date

2010-12-08

degree

explanation

Data format

name of format

TIFF

version of format

Constraints related to access and use

Constraint set

Limitations on public access

Constraint set

Limitations on public access

Constraint set

Limitations on public access

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

Responsible organisations

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

pointOfContact

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Rothamsted Research

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

University of York

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

Rothamsted Research

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

author

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

custodian

Responsible party

organisation name

NERC EDS Environmental Information Data Centre

email address

enquiries@ceh.ac.uk

responsible party role

publisher

Responsible party

organisation name

UK Centre for Ecology & Hydrology

email address

enquiries@ceh.ac.uk

responsible party role

owner

Responsible party

organisation name

Rothamsted Research

email address

enquiries@ceh.ac.uk

responsible party role

owner

Metadata on metadata

Metadata point of contact

organisation name

Environmental Information Data Centre

full postal address

Lancaster Environment Centre, Library Avenue, Bailrigg

Lancaster

LA1 4AP

UK

email address

info@eidc.ac.uk

responsible party role

pointOfContact

Metadata date

2023-07-26T08:08:40

Metadata language

eng