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10 messages for 2010 – Cultural landscapes and biodiversity heritage: Key messages: 1) Diverse climatic conditions, varied geology and morphology and centuries of pre- and post-industrial land use created Europe's diverse mosaic of cultural and natural landscapes, rich in biodiversity. 2) Europe's landscapes have become highly fragmented and homogenised, threatening their biodiversity and affecting their multifunctional role. 3) By managing its multifunctional culture-historical landscapes and related biodiversity sustainably, Europe can secure valuable ecosystems services while preserving its cultural and natural heritage. 4) Various legal instruments and initiatives address European biodiversity heritage at the landscape level. Incorporating these into regional and local planning and involving local communities is necessary to secure Europe's biodiversity heritage and maintain multifunctional landscapes.
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Absolute differences between the observed and the predicted values of seff according to the pan-European model: Map shows the differences between the level of fragmentation for FG-B2 calculated and the level of fragmentation predicted by the pan-European model in the 28 countries investigated
Located in Data and maps › Maps and graphs
Absolute differences between the observed and the predicted values of seff using the six global models for groups A to F: Map shows the differences between the level of fragmentation for FG-B2 calculated and the level of fragmentation predicted by 6-group-European model in the 28 countries investigated
Located in Data and maps › Maps and graphs
Bar diagram of effective mesh density values per country for FG-B2 in 2009: Effective mesh density values by country for Fragmentation Geometry FG-B2 in 2009. Fragmentation geometry has been created from input data (TeleAtlas roads/rails, CLC urban classes, mountain areas / mountain ridges based on Nordregio and WorldClim data and rivers/lakes based on Catchment Characterisation and Modelling (CCM) v.2 database and CLC database) and landscape fragmentation metrics (Jaeger 2000) has been calculated.
Located in Data and maps › Maps and graphs
Bar diagram of effective mesh density values per NUTS-X region for FG-B2 in 2009: Effective mesh density values by NUTS-X region for Fragmentation Geometry FG-B2 in 2009. Fragmentation geometry has been created from input data (TeleAtlas roads/rails, CLC urban classes, mountain areas / mountain ridges based on Nordregio and WorldClim data and rivers/lakes based on Catchment Characterisation and Modelling (CCM) v.2 database and CLC database) and landscape fragmentation metrics (Jaeger 2000) has been calculated.
Located in Data and maps › Maps and graphs
Biodiversity — key message 3: Land-use change and intensification are causing further fragmentation and homogenisation of forests and agro-ecosystems. Although some decline in freshwater nutrients has been observed, eutrophication of terrestrial ecosystems continues to be a matter of concern as shown by excess atmospheric nitrogen deposition in all EU countries.
Located in The European environment – state and outlook 2010 › … › Biodiversity — SOER 2010 thematic assessment › Key messages
Core forest fragmentation between 1990 and 2000: Data from Corine Land Cover (CLC) for years 1990 and 2000, hence with same geographical coverage and forest definition as CLC; mathematical morphology based software GUIDOS (Soille and Vogt, 2009) and GIS analysis; results aggregated at provincial units (NUTS level 2/3).
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Data availability in EU for hot spots analysis: Located in Data and maps › Maps and graphs
Effect of road network density on the abundance of brown hare in Canton Aargau, Switzerland: -
Located in Data and maps › Maps and graphs
Example illustrating the relationship between effective mesh size and effective: In this hypothetical example, the trend remains constant. A linear rise in effective mesh density (right) corresponds to a 1/x curve in the graph of the effective mesh size (left). A slower increase in fragmentation results in a flatter curve for effective mesh size, and a more rapid increase produces a steeper curve. It is therefore easier to read trends off the graph of effective mesh density (right).
Located in Data and maps › Maps and graphs