Data services overview

The maps show the long-term average soil moisture contents (left) and the trends in soil moisture values (right), aggregated by NUTS3 regions. Soil moisture is equal to 0 when the soil is severely dry (wilting point) and equal to 1 when the soil moisture is above the field capacity. Low long-term average soil moisture values indicate areas where during the 2000-2019 period the soil moisture deficit was the biggest problem. Trends are expressed in standard deviation from the long term average. Negative trends indicate that soil moisture values show a decreasing tendency during the 2000-2019 period. Areas with lower soil moisture content together with decreasing tendency in the soil moisture are in risk of loosing their land functions of supplying ecosystem services. See also: https://www.eea.europa.eu/data-and-maps/data/data-viewers/soil-moisture and Original dataset: https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_soilmoisture.pdf

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Monitoring the pressure from soil moisture deficits can warn of potential impacts on plant development and soil health, supporting the assessment of drought-tolerant, resilient and vulnerable ecosystems. In 2000-2019, soil moisture in the growing season was several times below the long-term average in the EEA member countries plus the United Kingdom. The largest soil moisture deficits occurred in 2003, 2017 and 2019, affecting over 1.45 million km 2 in 2019. Soil moisture content was also low in 2012, 2015 and 2018, contributing to increasingly frequent and intense drought pressure.

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The dataset consists of a collection of annual soil moisture (SM) anomalies during the vegetation growing season (GS) for the years 2000-2019 across EEA 38 area and the United Kingdom. The vegetation growing season is defined by EEA´s phenology data series "Vegetation growing season length 2000-2016" [https://www.eea.europa.eu/data-and-maps/data/annual-above-ground-vegetation-season]. The anomalies are calculated based on the European Commission's Joint Research Centre European Drought Observatory (EDO) Soil Moisture Index (SMI) with respect to the 1995–2019 base period. The yearly start and end of GS periods are dynamic and calculated according to the EEA Phenology Indicators. A positive anomaly indicates that the observed SM was wetter than the long-term SM average for the base period, while a negative anomaly indicates that the observed SM was drier than the reference value. Because SM anomalies are measured in units of standard deviation from the long-term SMI average, they can be used to compare annual deficits/surplus of SM between geographic regions. EDO is one of the early warning and monitoring systems of the Copernicus Emergency Management Service. As the dataset builds on EDO's SMI, it therefore contains modified Copernicus Emergency Management Service information (2019).

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Monitoring soil moisture shortages is a precondition for managing drought adaptation and resilience of ecosystems, such as foreseen by the EU Nature restoration plan of the EU Biodiversity strategy 2030. This dashboard analyses 20 years (2000-2019) soil moisture content in Europe (EU27, EEA-38 and the UK). Soil moisture deficits, trends in soil moisture values and the area under pressure are presented by countries and land cover. Scroll down to the More information section for further details.

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Land take as a result of urban sprawl is measured from the Copernicus Corine Land Cover dataset between 2000-2018. The map shows for each grid cell the area in km2 which was converted to urban areas. For visualization land take data is presented in a 10km grid. The original data which statistics are derived from is from the 100m spatial resolution CLC dataset series.

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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.  

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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.

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The chart shows the effect of temperature variations on vegetation productivity, expressed in standard deviation units of vegetation productivity.

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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.

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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.

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Soil plays a crucial role in nature’s cycles, including the nutrient cycle, which involves how much soil organic matter — i.e. carbon, nitrogen and phosphorus — is taken up and stored in soil. Organic compounds, such as leaves and root tips, are broken down to simpler compounds by organisms living in soil before they can be used by plants. Some soil bacteria convert atmospheric nitrogen into mineral nitrogen, which is essential for plant growth. Fertilisers introduce nitrogen and phosphates to induce plant growth but not all amounts are taken up by plants. The excess can enter rivers and lakes and affect life in these water ecosystems.

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The intensity of land take is calculated as land take in the given period as a percentage of the area of artificial surfaces in 2000. For easier comparability, land take is summarised within NUTS3 regions.

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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.

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Soil plays a crucial role in nature’s cycles, including the nutrient cycle, which involves how much soil organic matter — i.e. carbon, nitrogen and phosphorus — is taken up and stored in soil. Organic compounds, such as leaves and root tips, are broken down to simpler compounds by organisms living in soil before they can be used by plants. Some soil bacteria convert atmospheric nitrogen into mineral nitrogen, which is essential for plant growth. Fertilisers introduce nitrogen and phosphates to induce plant growth but not all amounts are taken up by plants. The excess can enter rivers and lakes and affect life in these water ecosystems.

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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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Monitoring the pressure from soil moisture deficits can warn of potential impacts on plant development and soil health, supporting the assessment of drought-tolerant, resilient and vulnerable ecosystems. In 2000-2019, soil moisture in the growing season was several times below the long-term average in the EEA member countries plus the United Kingdom. The largest soil moisture deficits occurred in 2003, 2017 and 2019, affecting over 1.45 million km 2 in 2019. Soil moisture content was also low in 2012, 2015 and 2018, contributing to increasingly frequent and intense drought pressure.

Read more

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.  

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In 2015, on average, there were around 1.5 fragmented landscape elements per km 2 in the European Union  [1] , a 3.7 % increase compared with 2009. Approximately 1.13 million km 2 , around 28 % of the area of the EU  [1] , was strongly fragmented i n 2015 , a 0.7 % increase compared with 2009. There was less of an increase in fragmented landscape elements and in the area of strongly fragmented landscape between 2012 and 2015 than between 2009 and 2012 (1.4 and 0.18 percentage points, respectively). Arable lands and permanent croplands (around 42 .6 %) and pastures and farmland mosaics (around 40.2 %) were most affected by strong fragmentation pressure in 2015 in the EU. Between 2009 and 2015, however, the largest increase in the area of strongly fragmented landscape was in grasslands/pastures and in farmland mosaics.   Luxembourg (91 %), Belgium (83 %) and Malta (70 %) had the largest proportions of strongly fragmented landscape in 2015 (as a proportion of their country area). The Baltic countries and Finland and Sweden were on average the least fragmented countries in the EU. Between 2009 and 2015, the area of strongly fragmented landscape increased most in Croatia, as well as in Greece, Hungary and Poland. [1]  Romania is excluded because of the poor coverage of fragmentation geometry data in 2009.  

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Monitoring soil moisture shortages is a precondition for managing drought adaptation and resilience of ecosystems, such as foreseen by the EU Nature restoration plan of the EU Biodiversity strategy 2030. This dashboard analyses 20 years (2000-2019) soil moisture content in Europe (EU27, EEA-38 and the UK). Soil moisture deficits, trends in soil moisture values and the area under pressure are presented by countries and land cover. Scroll down to the More information section for further details.

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The intensity of land take is calculated as land take in the given period as a percentage of the area of artificial surfaces in 2000. For easier comparability, land take is summarised within NUTS3 regions.

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The maps show the long-term average soil moisture contents (left) and the trends in soil moisture values (right), aggregated by NUTS3 regions. Soil moisture is equal to 0 when the soil is severely dry (wilting point) and equal to 1 when the soil moisture is above the field capacity. Low long-term average soil moisture values indicate areas where during the 2000-2019 period the soil moisture deficit was the biggest problem. Trends are expressed in standard deviation from the long term average. Negative trends indicate that soil moisture values show a decreasing tendency during the 2000-2019 period. Areas with lower soil moisture content together with decreasing tendency in the soil moisture are in risk of loosing their land functions of supplying ecosystem services. See also: https://www.eea.europa.eu/data-and-maps/data/data-viewers/soil-moisture and Original dataset: https://edo.jrc.ec.europa.eu/documents/factsheets/factsheet_soilmoisture.pdf

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Land take as a result of urban sprawl is measured from the Copernicus Corine Land Cover dataset between 2000-2018. The map shows for each grid cell the area in km2 which was converted to urban areas. For visualization land take data is presented in a 10km grid. The original data which statistics are derived from is from the 100m spatial resolution CLC dataset series.

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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

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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.

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The chart shows the effect of temperature variations on vegetation productivity, expressed in standard deviation units of vegetation productivity.

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The chart shows the effect of frost frequency variations on vegetation productivity, expressed in standard deviation units of vegetation productivity.

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