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Landscape fragmentation Effective Mesh Density time-series: major and medium anthropogenic fragmenting elements (FGA2-S)

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Prod-ID: DAT-222-en
Created 28 Nov 2019 Published 16 Dec 2019 Last modified 17 Dec 2019
1 min read
The datasets below correspond to a new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the years 2009, 2012 and 2015. This time-series 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. 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 geographic coverage of the datasets is EEA39.

European data

Landscape fragmentation Effective Mesh Density time-series
  • Landscape fragmentation Effective Mesh Density time-series, 2009: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019
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  • Landscape fragmentation Effective Mesh Density time-series, 2009: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019 - INSPIRE metadata
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  • Landscape fragmentation Effective Mesh Density time-series, 2012: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019
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  • Landscape fragmentation Effective Mesh Density time-series, 2012: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019 - INSPIRE metadata
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  • Landscape fragmentation Effective Mesh Density time-series, 2015: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019
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  • Landscape fragmentation Effective Mesh Density time-series, 2015: major and medium anthropogenic fragmenting elements (FGA2-S) version 1.0, Nov. 2019 - INSPIRE metadata
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Metadata

information.png Reporting obligations (ROD)
  • Not applicable
Relation:
Parent data set:  Copernicus Land Monitoring Service - High Resolution Layers - Imperviousness
Parent data set:  Environmental Accounting Reference Layers - SDI
Derived data set:  Environmental Accounting Reference Layers - SDI
information.png Geographic accuracy:
100m
information.png 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: European Environment Agency (EEA).
information.png Data sources

Copernicus High Resolution Layer - Imperviousness degree (30% of IMD), TeleAtlas road network database

information.png Owners:
European Environment Agency (EEA)
information.png Processors:
European Topic Centre on Urban, Land and Soil Systems (ETC-ULS)
 

Related content

Based on external data

Data Environmental Accounting Reference Layers - SDI This is a collection of the geospatial Environmental Accounting Reference Layers of the Integrated Data Platform published on the website and registered in EEA`s Spatial Data Infrastructure (SDI). The link under "GIS data" points to the SDI thematic node on Environmental Accounting Reference Layers.
Data Copernicus Land Monitoring Service - High Resolution Layers - Imperviousness The imperviousness products capture the percentage and change of soil sealing. Sealed/Impervious areas are characterized by the substitution of the original (semi-) natural land cover or water surface with an artificial, often impervious cover. These artificial surfaces are usually maintained over long periods of time. The imperviousness HRL captures the spatial distribution of artificially sealed areas, including the level of sealing of the soil per area unit. The level of sealed soil (imperviousness degree 1-100%) is produced using a semi-automated classification, based on calibrated NDVI. Imperviousness data is available for the reference years 2006, 2009, 2012, 2015, and 2018, and contains two types of products: 1. Status layers Imperviousness Density (IMD) The percentage of sealed area is mapped for each status layer for any of the 5 reference years (e.g. degree of Imperviousness 2012). The status layers are available in 10m spatial resolution (2018), 20m spatial resolution (2006-2015), and as aggregated 100m products. Impervious Built-up (IBU) This product shows built-up areas, the part of the sealed surfaces where buildings can be found. Built-up areas are a sub-group of the sealed areas. It refers to areas where above-ground building constructions can be found. In contrast to the Imperviousness characterized by a continuous range of imperviousness measurements, built-up in the HRL 2018 is a binary product, expressed as built-up or non-built-up areas. This product is new for the 2018 mapping campaign and is available in 10 meter resolution, as well as a 100 meter aggregated version called Share of Built-up (SBU) 2. Change layers Two types of change products are available for each of the 3-year periods between the 5 reference years (2006-2009, 2009-2012, 2012-2015, 2015-2018), and in addition, for the period 2006-2012 (that is in line with the 6-year period between two Corine Land Cover products): a) A simple layer mapping the percentage of sealing increase or decrease for those pixels that show real sealing change in the period covered. This product is available in 20m and 100m pixel size. b) A classified change product that maps the most relevant categories of sealing change (unchanged no sealing, new cover, loss of cover, unchanged sealed, increased sealing, decreased sealing). This product is available in 20m pixel size only.

Derived dataset

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Produced figures

Figure Landscape fragmentation in FUAs in 2018 in the EU-27 and the UK region, by country and FUA structure Fragmentation is measured as the density of continuous, i.e. unfragmented, semi-natural landscape elements (i.e. meshes). This is calculated by dividing the number of meshes with a unit area, e.g. 1 or 1 000 km². If the landscape is not fragmented, i.e. it consists of a completely continuous landscape, the mesh density is 1. If the number of natural and semi-natural landscape elements in a unit area increases, the landscape becomes more fragmented and the mesh density increases.
Figure Imperviousness density in 2015 The map shows the density of soil sealing in 2012, based on a 10 km2 reference grid. Green and light orange colors show areas with no or very limited sealing, while red and dark red colors show highly to fully sealed grid cells (mainly urban areas).
Figure
Draft
Density of impervious cover across Europe in 2015 (left) and average annual change in soil sealing between 2006-2015 (right) The map shows the density of soil sealing in 2012, based on a 10 km² reference grid. Green and light orange colors show areas with no or very limited sealing, while red and dark red colors show highly to fully sealed grid cells (mainly urban areas).

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For references, please go to https://www.eea.europa.eu/data-and-maps/data/landscape-fragmentation-effective-mesh-density or scan the QR code.

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