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Contour data for LEGATO region PH_3 based on ASTER satellite data (resolution 30m)
LUC in Vietnam VN_1 with a 300m buffer
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.
Crop specific pollination benefits for the year 2000, purchasing power and inflation corrected Unit: US Dollar / ha. Temporal resolution: annual.
Visualization of data for Figure 2 from Dittrich, Andreas, Ralf Seppelt, Tomáš Václavík, and Anna F. Cord. 2017. “Integrating Ecosystem Service Bundles and Socio-Environmental Conditions – A National Scale Analysis from Germany.” Ecosystem Services 28: 273–82. doi.org/10.1016/j.ecoser.2017.08.007
SRTM (Shuttle Radar Topography Mission) CGIAR-CSI (Consultative Group on International Agricultural Research - Consortium for Spatial Information) 90m DEM version 4; LEGATO Sites: VN_4 Projection: Geographic (Lat/Long) projection, with the WGS84 horizontal datum and the EGM96 vertical datum
THIS METADATA-RECORD IS CURRENTLY UNDER DEVELOPMENT
LEGATO sites at the Philippines
Mean Rainfall in mm/y in Vietnam
Results data of Publication