The European inventory of nationally designated protected areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. This is version 18 and covers data reported until March 2020.
Dashboard (Tableau)
28 May 2020
The maps shows the time series of yearly vegetation productivity anomalies under drought impact aggregated by NUTS3 regions. Negative anomalies indicate vegetation productivity conditions which are lower than the long term average normal condition.
Dashboard (Tableau)
20 May 2020
Vegetation productivity loss due to drought impacts and the extent of impacted areas are presented. Vegetation productivity loss is indicated by standardized anomalies of yearly vegetation productivity during 2000-2016, and are analyzed in areas with statistically significant drought pressure, measured as precipitation shortages and low soil moisture content. Anomalies are disaggregated and detailed by year, by country and major land cover categories. Negative anomalies indicate vegetation productivity conditions which are lower than the long term average normal condition. The extent of the impacted area is measured in km2.
The HRL Small Woody Features (SWF) is a new CLMS product, which provides harmonized information on linear structures such as hedgerows, as well as patches (200 m² ≤ area ≤ 5000 m²) of woody features across the EEA39 countries.
Indicator Assessment
25 Mar 2020
For the reference year 2015 , 85 861 km 2 of the total area covered by the EEA-39 countries were mapped and categorised as 'sealed surface' in the Copernicus imperviousness product. This corresponds to 1.466 % of the total EEA-39 area.
Between 2006 and 2015, soil sealing (imperviousness) in all EEA-39 countries increased by a total of 3 859 km2 , an annual average increase of 429 km 2 . During this period, the average annual increase in soil sealing relative to country area varied from 0 % to 0.088 %.
In 2015, the percentage of a countries' total area that was sealed also varied greatly, with values ranging from 16.17 % (Malta) to 0.07 % (Iceland). The highest sealing values, as a percentage of country area, occurred in small countries with high population densities, while the lowest sealing values can be found in large countries with low population densities.
The average annual increase in sealing was 460 km 2 between 2006-2009, increasing to 492 km 2 for the 2009-2012 period and slowing to 334 km 2 for the 2012-2015 period. The slow-down in the sealing increase between the two reference periods occurred in 31 out of 39 countries. The same trend is visible for sealing figures normalised by the size of the country (the % of the country newly sealed on average annually for the three periods).
The most problematic situation occurs in countries where there is already a high percentage of sealing and where the annual rate of increase relative to country area is high. Even more problematic are situations where, for 2012-2015, the rate of sealing increase is accelerating, in contrast to the general trend of a slowing rate of increase.
The map shows the percentage of the average annual change in soil sealing for each of the rectangular 10 km x 10 km grid cells, over the 2006-2015 period
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).
GIS Map Application
03 Mar 2020
Change of vegetation productivity during the years 2000-2016. Vegetation productivity was calculated for each 500m grid cell from a remote sensing derived vegetation index (PPI). The layer shows the changes expressed in % of 2000 calculated from the fitted line of the linear trend model.
The chart shows the vegetation productivity changes (%) over areas with land use change in the period 2000-2018. The values are broken down by major land use change drivers.
Indicator Assessment
03 Mar 2020
Vegetation productivity indicates the spatial distribution and change of the vegetation cover - a key characteristic of ecosystem condition.
Vegetation productivity in Europe on average has a regional pattern of increase and decline. Increase was observed most in South Eastern Europe, over croplands and wetlands in the Steppic region and grasslands and sparsely vegetated lands and in the Black Sea and Anatolian regions. Decline happened most over croplands and grasslands in the Atlantic region as well as over wetlands in the Alpine region.
Climate has important influence on vegetation productivity in Europe. Strongest is the influence of precipitation increase, especially in the South Eastern regions. Decreasing number of frost days increased productivity in the Pannonian region but decreased productivity in the Atlantic region.
Climatic variations are important drivers of vegetation productivity, but land use changes are even stronger. Productivity was most increased by agricultural land management and converting other lands to agriculture, whereas largest decrease was caused by sprawling urban areas.
The chart shows the effect of frost frequency variations on vegetation productivity, expressed in standard deviation units of vegetation productivity.
Many global policy frameworks, including the United Nations Sustainable Development Goals (SDGs),directly and indirectly address land and soil. Many of these SGDs cannot be achieved without healthysoils and a sustainable land use. Below is an overview of the SDGs with strong links to soil.
GIS Map Application
13 Dec 2019
For visualisation purposes, the initial 100 m spatial resolution Corine Land Cover dataset was re-sampled to a 10 km2 grid. The observation periods can be visualised by activating the 'layers' icon and selecting the respective periods.
Soil contains significant amounts of carbon and nitrogen, which can be released into the atmosphere depending on how we use the land. Clearing or planting forests, the melting of permafrost can tilt the greenhouse gas emission balance one way or the other. Climate change can also substantially alter what farmers can produce and where.
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