Figure

Examples of the use of effective mesh density in monitoring systems of sustainable development, biodiversity, and landscape quality

Figure Created 26 Sep 2011 Published 26 Sep 2011 Last modified 29 Nov 2012

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Topics: Land use

https://www.eea.europa.eu/data-and-maps/figures/examples-of-the-use-of/examples-of-the-use-of/image_large

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Examples of the use of effective mesh density in monitoring systems of sustainable development, biodiversity, and landscape quality - Excel file

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Rights:: EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged (https://www.eea.europa.eu/legal/copyright). Copyright holder: Swiss Federal Office for the Environment (FOEN), Concordia University - Geography, Planning and Environment, European Environment Agency (EEA).
Owners:: Swiss Federal Office for the Environment (FOEN); Concordia University - Geography, Planning and Environment; European Environment Agency (EEA)
Figure type:: Graph

Additional information

(a) Switzerland: the data are used in the Swiss Landscape Monitoring System (LABES), in the Biodiversity Monitoring
Switzerland, and in the Swiss Monitoring System of Sustainable Development (MONET). Two fragmentation geometries are
shown: 'CH-1: Degree of Fragmentation class 2' (shown in blue) includes land areas below 2 100 m with roads up to class 2,
and 'CH-2: Degree of Fragmentation class 4' (shown in red) with roads up to class 4 for 1960–2008.

Note that 'Degree of Fragmentation class 2' also includes values for 1885 and 1935 which are based on a different dataset.

(b) Baden-Württemberg: times series since 1930 for two fragmentation geometries: with and without municipal roads. The
values in Switzerland are for the entire country, including the Jura mountains and parts of the Alps up to 2 100 m. Therefore, they are much lower than the values in Baden-Württemberg. However, the level of fragmentation in the Swiss Lowlands is much higher than the average and similar to the values in Baden-Württemberg