The dataset shows the percentage of grasslands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total grassland area within NUTS3 regions (NUTS2 for Germany). The management pressure on grassland was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc). This dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).
The dataset shows the percentage of croplands under high pressure from management practices in 2010. The area percentage is calculated in relation to the total cropland area within NUTS3 regions (NUTS2 for Germany). The management pressure on croplands was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions (etc). This dataset is part of the condition/pressures assessments done for agroecosystems under ETC/SIA actions for MAES (Mapping and Assessment of Ecosystem Services).
This dataset is the new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the year 2009. This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas datasets as fragmenting geometries. The Effective Mesh Density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation. The geographic coverage of the dataset is EEA39 except these countries: Albania, Bosnia and Herzegovina, Cyprus, Iceland, Kosovo (UNSCR 1244/99), Montenegro, North Macedonia, Romania, Serbia and Türkiye. An important consequence of landscape fragmentation is the increased isolation of ecosystem patches that breaks the structural connections and decreases resilience and ability of habitats to provide various ecosystem services. Fragmentation also influences human communities, agriculture, recreation and overall quality of life. Monitoring how fragmentation decreases landscape quality and changes the visual perception of landscapes provides information for policy measures that aim at improving ecosystem condition and restoration as well as maintaining the attractiveness of landscapes for recreational activities.
The effective mesh density (seff) is a measure of the degree to which movement between different parts of the landscape is interrupted by a Fragmentation Geometry (FG). FGs are defined as the presence of impervious surfaces and traffic infrastructure, including medium sized roads. The more FGs fragment the landscape, the higher the effective mesh density hence the higher the fragmentation.
The WISE WFD protected areas data set contains the location of areas which have been designated as requiring special protection of their surface water and groundwater, or for the conservation of habitats and species directly depending on water, including economically significant aquatic species (e.g. shellfish). According to the Article 6 of the Water Framework Directive (WFD, Directive 2000/60/EC), Member States shall ensure the establishment of a register of all areas lying within each River Basin District which have been designated as requiring special protection under specific Community legislation for the protection of their surface water and groundwater, or for the conservation of habitats and species directly depending on water, including the protection of Natura 2000 sites and economically significant aquatic species (e.g. shellfish).
These datasets represents a measure of intensification (nutrient, mangement pressure and pressure indicator) trend of agroecosystems. The nutrient input is a specific measure related to the intensification processes in the management of cropland and grassland ecosystems. The management pressure on cropland and grassland was calculated by combining information of nitrogen input from the Farm Structure Survey (FSS), the Corine Land Use/Land Cover dataset and other environmental characteristics such as topographic conditions, soil and climate conditions. The trend indicator is the share of cropland or grassland areas affected by internal Land Cover flows between CORINE changes, presented at NUTS3 level.