Data Visualization
30 Oct 2020
Indicator Assessment
30 Oct 2020
Monitoring vegetation response to water deficit due to droughts is necessary to be able to introduce effective measures to increase the resilience of ecosystems in line with the EU’s nature restoration plan — a key element of the EU biodiversity strategy for 2030. Between 2000 and 2016, Europe was affected by severe droughts, causing average yearly vegetation productivity losses covering around 121 000 km 2 . This was particularly notable in 2003, when drought affected most parts of Europe, covering an estimated 330 000 km 2 of forests, non-irrigated arable land and pastures. Drought impact was also relatively severe in 2005 and 2012.
The map shows the long-term impact of water deficit on vegetation productivity, and the area of low vegetation productivity under water deficit impact, aggregated by NUTS3 regions. Negative anomalies are expressed in standard deviation and indicate vegetation productivity conditions that are lower than the long-term average under normal, non-drought conditions.
Data Visualization
27 Oct 2020
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.
The map shows the loss and gain of forests aggregated in a 10 km grid. Units are in ha/km2.
The following CLC classes were used:
Consumption of transitional woodland (LCF71),
Consumption caused by forest and shrub fires (LCF92),
Consumption caused by forest management (LCF74),
Afforestation (LCF72),
Forest-internal conversion (LCF71, LCF73 and part of LCF74),
Withdrawal of farming with woodland creation (LCF61),
Total formation of forest.
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.
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.
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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