• Open Data Science Europe Metadata Catalog
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Land system archetypes (WMS)

This service visualizes land system archetypes data. Land use is a key driver of global environmental change. Unless major shifts in consumptive behaviours occur, land-based production will have to increase drastically to meet future demands for food and other commodities. To better understand the drivers and impacts of agricultural intensification, identifying global, archetypical patterns of land systems is needed. However, current approaches focus on broad-scale representations of dominant land cover with limited consideration of land-use intensity. In this study, we derived a new global representation of land systems based on more than 30 high-resolution datasets on land-use intensity, environmental conditions and socioeconomic indicators. Using a self-organizing map algorithm, we identified and mapped twelve archetypes of land systems for the year 2005. Our analysis reveals unexpected similarities in land systems across the globe but the diverse pattern at sub-national scales implies that there are no one-size-fits-all solutions to sustainable land management. Our results help to identify generic patterns of land pressures and environmental threats and provide means to target regionalized strategies to cope with the challenges of global change. Mapping global archetypes of land systems represents a first step towards better understanding the driving forces and environmental and social outcomes of land system dynamics.

Simple

Identification info

Date ( Creation )
2013-02-07

Identifier

No information provided.
Point of contact
Helmholtz Centre for Environmental Research - UFZ - Tomas Vaclavik ( PostDoc )

+49 341 235 1952
Keywords ( Theme )
  • inspireidentifiziert
  • land system archetypes
  • BESTMAP-H2020
  • WMS
  • infoMapAccessService
GEMET - INSPIRE themes, version 1.0 ( Theme )
  • Land use
Access constraints
Other restrictions
Other constraints
no limitations to public access
Use constraints
Other restrictions
Other constraints
unknown
Other constraints
unknown
Service Type
view
Service Version
OGC:WMS 1.3.0
Service Version
OGC:WMS 1.1.1
N
S
E
W
thumbnail


Coupling Type
Tight

Contains Operations

Operation Name
GetCapabilities
Distributed Computing Platforms
Web services
Connect Point
https://www.ufz.de/arcgis/services/extern/land_system_archetypes/MapServer/WMSServer?request=GetCapabilities&service=WMS ( OGC:WMS-http-get-capabilities )

Contains Operations

Operation Name
GetMap
Distributed Computing Platforms
Web services
Connect Point
https://www.ufz.de/arcgis/services/extern/land_system_archetypes/MapServer/WMSServer?version=1.3.0&service=WMS&request=GetMap&layers=6&crs=crs:84&bbox=-180,-90,180,90&width=2048&height=1140&format=image/png&styles=default ( OGC:WMS-http-get-map )
Reference system identifier
EPSG / WGS 84 (EPSG:4326) / 8.6
Distribution format
  • WMS ( )

OnLine resource
https://www.ufz.de/arcgis/services/extern/land_system_archetypes/MapServer/WMSServer?request=GetCapabilities&service=WMS ( OGC:WMS-http-get-capabilities )
OnLine resource
https://www.ufz.de/arcgis/services/extern/land_system_archetypes/MapServer/WMSServer?version=1.3.0&service=WMS&request=GetMap&layers=1&crs=epsg:4326&bbox=-90,-180,90,180&width=1140&height=1620&format=image/png&styles=default ( OGC:WMS-http-get-map )
Hierarchy level
Service
Other
View service

Conformance result

Date ( Revision )
2014-12-31
Other citation details
https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX:02009R0976-20141231
Explanation
See specified reference
Pass
Yes

gmd:MD_Metadata

File identifier
c967f28c-0d67-4687-9977-0b4b74967804 XML
Metadata language
en
Character set
UTF8
Hierarchy level
Service
Hierarchy level name
View service
Date stamp
2021-10-12T13:23:55
Point of contact
Helmholtz Centre for Environmental Research - UFZ - Tomas Vaclavik ( PostDoc )

+49 341 235 1952
Point of contact
mundialis GmbH & Co. KG -

https://www.mundialis.de/

Citation proposal


. Land system archetypes (WMS).
https://data.opendatascience.eu/geonetwork/srv/api/records/c967f28c-0d67-4687-9977-0b4b74967804

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