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Figure Sybase Advantage Database Server Four ecological impacts of roads on animal populations and the time lag for their cumulative effect
Located in Data and maps Maps and graphs
Figure Green Background index derived from the combination of CORILIS layers
The Green Background map is a modifiable map, both in terms of smoothing radii and minimum intensity
Located in Data and maps Maps and graphs
Figure Green Background index for Pan-Europe, computed from GLC2000 v.2
Conceptual grouping of smoothed green classes of Global Land Cover to approach european green areas.
Located in Data and maps Maps and graphs
Publication Green infrastructure and territorial cohesion
The concept of green infrastructure and its integration into policies using monitoring systems
Located in Publications
Data D source code Green potential background
CORILIS layers can be grouped by simple addition
Located in Data and maps Datasets
Data Green potential background
CORILIS layers can be grouped by simple addition
Located in Data and maps Datasets
Figure Illustration of the behaviour of five landscape metrics in the phases of shrinkage and attrition of the remaining parcels of open landscape due to the growth of an urban area
First row: change of the landscape over time (black lines = highways, black area = residential or commercial area; size of the landscape: 4 km × 4 km = 16 km2). Only the effective mesh size behaves in a suitable way (bottom diagram). APS and n both exhibit a jump in their values (even though the process in the landscape is continuous); DTL and nUDA100 do not respond to the increase in fragmentation. (meff = effective mesh size, n = number of patches, APS = average patch size, nUDA100 = number of large undissected low-traffic areas > 100 km2, DTL = density of transportation lines).
Located in Data and maps Maps and graphs
Figure Illustration of the level of landscape fragmentation measured by effective mesh size and represented as regular gridroot transformation for seff.
Map shows a regular grid at a different cell size for each countrie according to its value of fragmentation for FG-B2
Located in Data and maps Maps and graphs
Figure application/vnd.symbian.install Illustration of the statistical analysis using multiple linear regression
This simple example uses the data of the NUTS-X regions from Belgium (FG-B2). The effective mesh density (seff) is shown as the response variable as a function of two predictor variables: population density (PD, between 64 and 600 people per km2) and gross domestic product per capita (GDPc, between 20 500 and 37 000 euros PPs). The gridded plane shows the predicted values for the effective mesh density for each combination of PD and GDPc. The differences between the observed values of seff (shown as small squares) and the predicted values are shown as perpendicular lines and are called residuals. In this example, the predicted level of fragmentation increases with higher population densities and with higher gross domestic product per capita, and the variation in population density has a higher influence than the variation in GDPc.
Located in Data and maps Maps and graphs
Highlight Increasing fragmentation of landscape threatens European wildlife
Roads, motorways, railways, intensive agriculture and urban developments are breaking up Europe’s landscapes into ever-smaller pieces, with potentially devastating consequences for flora and fauna across the continent, according to a new joint report from the European Environment Agency (EEA) and the Swiss Federal Office for the Environment (FOEN). The report, 'Landscape fragmentation in Europe', demonstrates how areas of land are often unable to support high levels of biodiversity when they are split into smaller and smaller parcels.
Located in News
European Environment Agency (EEA)
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