The dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of grassland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.

The dataset represents a pressure trend indicator as measure of intensification of agroecosystems. The trend indicator is the share of cropland area affected by internal Land Cover flows between CORINE 2006 and 2012, presented at NUTS3 level. Those changes were used to identify the internal flows related to more intense use, mainly linked to the increase in resource and machinery use. The internal flows related to intensification were defined based on an expert consultation done in the context of the ETC/ULS actions.

The dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of grassland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.

The dataset represents a measure of intensification trend of agroecosystems. Nutrient input is a specific measure related to the intensification processes in the management of cropland ecosystems. The average change rate of nutrient input between 2005 and 2010 is used to show these tendencies in the NUTS regions (NUTS3 and NUTS2 for Germany). The data comes from the EEA draft nutrient accounts, developed by EEA and ETC/ULS, and is based on spatial reference data on crop and livestock distribution, yield and livestock statistics, and official conversion factors.