From 1 - 8 / 8
  • 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.

  • This service provides cartographic visualization for global pollination benefits. Global pollination benefits for the year 2000. This dataset sums total and crop values for different plants. Temporal extent and resolution: 2000-01-01 to 2000-12-31, annual.

  • This service provides cartographic visualization for Agricultural Land Evaluation / Start of the (first) growing cycle. Start of the growing cycle at a spatial resolution of 30 arc seconds, considering rain-fed conditions and irrigation on currently irrigated areas. In case of multiple cropping, the start of the first growing cycle is shown. The service contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Unit: Calendar Week. Temporal resolution: 30 year period.

  • This service provides cartographic visualization for Agricultural Land Evaluation / Agricultural Suitability. Agricultural suitability at a spatial resolution of 30 arc seconds, considering rain-fed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The service contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Unit: Suitability. Temporal resolution: 30 year period.

  • This service provides cartographic visualization for Agricultural Land Evaluation / Multiple Cropping All plants. Potential number of suitable crop cycles at a spatial resolution of 30 arc seconds, considering rain-fed conditions and irrigation on currently irrigated areas. The service contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Unit: Crop Cycles / Year. Temporal resolution: 30 year period.

  • This service provides cartographic visualization for Agricultural Land Evaluation / Agricultural Suitability. Agricultural suitability at a spatial resolution of 30 arc seconds, considering rain-fed conditions and irrigation on currently irrigated areas. The agricultural suitability represents for each pixel the maximum suitability value of the considered 16 plants. The service contains four time periods (1961-1990, 1981-2010, 2011-2040, 2071-2100). Unit: Suitability. Temporal resolution: 30 year period.

  • This service provides cartographic visualization for Agricultural Land Evaluation / Agricultural Suitability Change between 1981-2010 and 2071-2100. Change in agricultural suitability between 1981-2010 and 2071-2100 at a spatial resolution of 30 arc seconds, considering rain-fed conditions and irrigation on currently irrigated areas. Unit: Suitability Change. Temporal resolution: 30 year period.

  • This service provides cartographic visualization for gluv. glUV is a set of climate surfaces containing information on various aspects of the global distribution of ultraviolet-B radiation (UV-B). The data represents a potentially useful addition to existing climate datasets (e.g. CliMond, WorldClim) and may help refine macroecological analyses and bioclimatic modelling. glUV can help address research questions related to the range-limiting capacities UV-B radiation has on terrestrial and marine life. The applicability of glUV is not limited to bioclimatic modelling and may be used for planning experiments along UV-B gradients or for reanalysing existing species distributions. Studies investigating the intra-annual variability of UV-B radiation may also benefit from implementing the provided monthly mean UV-B datasets used to derive the bioclimatic UV-B variables. glUV may even find applications outside the realms of ecology and biology, for example, in estimating material degradation rates or addressing UV-B related health issues.