Published (reviewed and quality assured)
Justification for indicator selection
MAIN ADVANTAGES OF THE INDICATOR
- Policy relevance: the indicator is highly relevant for the 2010 target. Ecosystems are components of biodiversity as defined by the Convention on Biological Diversity.
- Biodiversity relevance: the indicator has a high relevance for biodiversity because it indicates the area of available habitats and ecosystems across Europe. If an area decreases drastically it will have a negative influence on the species dependent on that habitat. In that sense this indicator is particularly important for specialist species and endemic species that are dependent on particular habitats in the ecosystem and cannot survive in other ecosystems.
- Well established methodology: the CLC methodology is widely accepted and more countries are expected to provide CLC data in the future thereby expanding the data coverage of this indicator. The indicator is easy to understand and gives a simple and clear overview of the trends in ecosystems.
- Aggregation possibilities to different scales/levels: the CLC data can easily be aggregated at different scales according to user needs. The data unit is hectares
- No rationale references available
Proportional and absolute change in extent and turnover of land cover categories aggregated to relate to main ecosystem types in Europe from 1990 to 2000.
The 13 ecosystem types discussed represent forests, cropland, semi natural vegetation, wetlands, inland water systems, glaciers, permanent snow and urban/constructed/industrial /artificial areas. This indicator is based on photo-interpretation of satellite imagery, and gives a 'wall to wall' picture of the changes and dynamics in Europe with respect to ecosystems. Additional indicators can be used to further highlight trends in extent and state of each of the ecosystem types mentioned above using computations from other data sources. A sub-indicator of change in seagrass coverage of the European Seas can also be used as a proxy for the marine/coastal ecosystems.
Land cover classes area change in ha
% change of land cover classes
Policy context and targets
This indicator uses photo-interpretation of satellite imagery to give a rough picture of the trend in area and proportion of the major ecosystems in Europe since 1990.
Satellite imagery offers the potential to characterise land cover over very large areas efficiently and very cost effectively. It is possible to produce land cover maps from satellite imagery based on the spectral properties of each pixel within a scene. By grouping pixels into classes with similar spectral properties and associating these classes with particular land cover types, it is possible to produce maps which delineate land cover. Land cover change is then used to indicate the trends in the extent of major ecosystems, such as forests, croplands, wetlands, etc. For this indicator we use data from the Corine land cover database (CooRdinate Information on the Environment - Corine.
At present, data are available from 23 countries providing Corine land cover (CLC) data in 1990 and 2000 and changes between 1990 and 2000. The CLC data are based on 44 land cover classes that are aggregated into 13 ecosystem types for the purpose of this indicator (see Annex 1). Spectral properties allow the CLC project to distinguish between land cover classes. For example, CLC has three classes showing forest land cover: broad-leaved forest, coniferous forest, and mixed forest. By aggregating the information of these three land cover classes we have information on the extent of the forest ecosystem within the limitations of the CLC data (see section on main disadvantages). The CLC data however are the best available at present to cover large areas of Europe in a harmonised way.
Relation of the indicator to the focal area
This indicator is highly relevant for the CBD focal area on 'Status and trends of the components of biological diversity' as ecosystems are a major component of biological diversity. A particular ecosystem supports a particular set of species and their habitats. If an ecosystem is encroached upon and therefore decreases in area, the species and habitats it supports are at risk and they may not be able to sustain a viable population size. This indicator gives information on the trend in area of several ecosystems at the pan-European level, through the trend in extent of the related land cover. It shows whether the area of an ecosystem has decreased or increased between 1990 and 2000. It can also show if the total area of any ecosystem has remained stable but with a large turnover to and from other categories. Albeit rough, the trends in ecosystem area provide information on the space available for the species and habitats of that particular ecosystem.
No targets have been specified
Related policy documents
No related policy documents have been specified
Key policy question
Which changes are occurring in the distribution of Europe's ecosystems and habitats?
Methodology for indicator calculation
1. The methodology of data processing is rather simple as the area of a particular ecosystem in 1990 is found by summing up the area of all CLC classes belonging to that ecosystem type. Changes have also been assessed exploring particular land cover changes from one land cover type to another. For more details on Corine methodology and production of the land cover map, see Corine land cover manual at http://www.eea.europa.eu/publications/eea_report_2006_11. The 13 ecosystem types discussed represent forests (forest and tall woodland, transitional woodland), cropland (regularly/ recently cultivated and mosaics), semi natural vegetation (heathland/ scrub/ tundra, grassland/ tall forb, sparcely vegetated land) (1), wetlands (mire/bog/fen, coastal, marine), inland water systems, glaciers/ permanent snow and urban/constructed/industrial/artificial areas.
2. By use of the Land and Ecosystem Account (LEAC) database, analyses are made of the changes between CLC1990 and CLC2000 for 23 countries. The area of a particular CLC class is given in hectares. With reference to the aggregation table annexed to this form, the areas of various CLC classes have been aggregated to a total area for a particular ecosystem.
(1) 26 of the 44 Corine land cover classes are considered as natural and semi natural for the purpose of this indicator (see Annex 1 to indicator 'Fragmentation of natural and semi-natural areas').
Methodology for gap filling
No methodology for gap filling has been specified. Probably this info has been added together with indicator calculation.
- SEBI 2010 Indicator Screening - Historical Development of Forest Area Based on UN Forest Resource Assessments. Van Brusselen, J. and Larsson T.B., 2005. SEBI 2010 Expert Group 2, EEA, 2005
- European forest types - Categories and types for sustainable forest management reporting and policy. EEA, 2006. EEA Technical report No 9/2006. European Environment Agency, Copenhagen, Denmark.
EEA data references
- Land cover accounts (LEAC) based on Corine land cover changes database (1990-2000) provided by European Environment Agency (EEA)
- Corine land cover changes (CLC1990 - CLC2000) 100 m provided by European Environment Agency (EEA)
- Corine land cover changes (CLC2000 - CLC2006) 100 m provided by European Environment Agency (EEA)
External data references
- Land cover change from 1990 to 2000 expressed as % of the 1990 level, aggregated into EUNIS habitat level 1 categories
Data sources in latest figures
No uncertainty has been specified
Data sets uncertainty
No uncertainty has been specified
MAIN DISADVANTAGES OF THE INDICATOR
The use of remote sensing data implies that some degree of detail is lost. The Corine land cover data set is based on a minimal unit of 25 hectares and this implies that smaller areas of certain habitat types and linear features may not be adequately detected. Other data sets (e.g. statistical offices reporting for forests, cropland, grassland area) cannot be combined in this indicator calculation because the different definitions used as well as the different frequencies in updating will produce incomparable trends.
ANALYSIS OF OPTIONS
The CBD indicator selected under this heading is on Trends of forest area based on FAO data. It focuses very much on global forests, including mangroves and tropical forests, and does not give information on other ecosystem types. The present indicator on ecosystem trends is more appropriate for Europe because it gives a more detailed picture of the European ecosystems and it provides a broader picture of all ecosystems, not only forests.
The information from this indicator based on land cover data, can for assessment purposes be complemented by calculations (based on satellite imagery or statistical information) to provide more detailed information on the following ecosystems:
Ecosystem/habitat and Data sets to be used
UN-ECE/FAO Forest ResourceAssessment (http://timber.unece.org/index.php?id=32) indicator 4.3. 'naturalness' of the MCPFE set(http://www.mcpfe.org/filestore/mcpfe/Publications/pdf/state_of_europes_forests_2007.pdf), and a forest status indicator that is being developed (based on surrogate measures for biodiversity, taking into account concepts like quality, functionality and integrity of forest ecosystems).
Area of cropland collected by FAO (FAO Production Yearbook, http://faostat.fao.org/faostat/)
Satellite data on wetlands (methodology to be tested) and data from the Ramsar List of Wetlands of International Importance (http://ramsar.wetlands.org/)
Fluctuations of Glaciers (FoG) - series, published by the World glacier monitoring service (http://www.geo.unizh.ch/wgms/fog.html)
Data set on Sea Ice at the National Snow and Ice Data Center (http://nsidc.org/data/seaice_index/)
There are no baseline data sets on coverage readily available at the level of the European seas. Relevant information exists in the World Atlas of Seagrasses, which is publicly available and maintained by UNEP/ WCMC, but has gaps with regard to the European coastline(http://www.unep-wcmc.org/marine/seagrassatlas/index.htm). A voluntary data flow on seagrasses is proposed by the EEA to its member countries.
Short term work
Work specified here requires to be completed within 1 year from now.
Long term work
Work specified here will require more than 1 year (from now) to be completed.
Work descriptionSUGGESTIONS FOR IMPROVEMENT Short term improvement: add data from the global land cover database, to increase coverage of the indicator to certain countries not covered by Corine. Trends in extent of forest area estimated by Corine land cover for 1990–2000, have been compared with trend information available from the UN-ECE/FAO forest resources assesments, in order to create a more complete picture. Even though there have been changes in the UN‑ECE/FAO forest definitions through the years, it has been possible to establish that the overall trends in Europe calculated with this data set are very close to those calculated by land cover, when using the broad selection of land cover categories. The trends in extent in European Forests will eventually be assessed in the context of their state, described in a system of (14) forest types, which is currently under discussion in the MCPFE process (Van Brusselen and Larsson, 2005; EEA, 2006). Data from global land cover (GLC) has a broader geographical cover and so the indicator will in the future (and before 2010) include more countries and more data points. The global land cover data give data points from 2000, 2005, and possibly 2010. Corine assessments should ideally be harmonised with internationally agreed definitions.
No resource needs have been specified
Deadline2099/01/01 00:00:00 GMT+1
Work descriptionCOSTS RELATED TO DEVELOPING, PRODUCING AND UPDATING THE INDICATOR (as available) Cost of producing this indicator is relatively low. The main cost is related to the processing of data once this is available, and depends on the ecosystems and aggregation levels to be considered.
No resource needs have been specified
Deadline2099/01/01 00:00:00 GMT+1
Responsibility and ownership
EEA Contact InfoKatarzyna Biala