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The map shows the temporal development of the distribution of warm-favouring (Lusitanian) fish species and of cool-favouring (Boreal) fish species by statistical area in yearly intervals, 1967 to 2018.

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Recognition and understanding of the term 'biodiversity' has increased in the European Union. 71 % of interviewed EU citizens have heard of biodiversity and over 41 % of these know what it means. At least eight out of ten Europeans consider the various effects of biodiversity loss to be serious for humans and for nature and agree that it is important to halt its loss. The biggest perceived threats to biodiversity are pollution of air, soil and water, man-made disasters and climate change. Just under a third of respondents are aware of the Natura 2000 network, including 19 % who say they have heard about it but do not know what it is. However, the overwhelming majority agree that nature protection areas are very important in protecting endangered animals and plants or safeguarding nature's role in providing food, clean air and water. Most Europeans are not willing to trade damage or destruction of protected areas for economic development.

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The raster files are the time series of the start of the vegetation growing season (day of the year) and the derived linear trends (in day / year). The start of the growing season time-series is based on the time series of the Plant Phenology Index (PPI) derived from the MODIS BRDF-Adjusted Reflectance product (MODIS MCD43 NBAR). The PPI index is optimized for efficient monitoring of vegetation phenology and is derived from the source MODIS data using radiative transfer solutions applied to the reflectance in visible-red and near infrared spectral domains. The start of season indicator is based on calculating the start of the vegetation growing season from the annual PPI temporal curve using the TIMESAT software for each year between and including 2000 and 2016.

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The raster files are the annual above ground growing season length time-series and the derived linear trends for the period 2000-2016. The data set addresses trends in the season length of land surface vegetation derived from remote sensing observed time series of vegetation indices. The vegetation index used in the indicator is the Plant Phenology Index (PPI, Jin and Eklundh, 2014). PPI is based on the MODIS Nadir BRDF-Adjusted Reflectance product (MODIS MCD43 NBAR. The product provides reflectance data for the MODIS “land” bands (1 - 7) adjusted using a bi-directional reflectance distribution function. This function models values as if they were collected from a nadir-view to remove so called cross-track illumination effects. The Plant Phenology Index (PPI) is a new vegetation index optimized for efficient monitoring of vegetation phenology. It is derived from radiative transfer solution using reflectance in visible-red (RED) and near-infrared (NIR) spectral domains. PPI is defined to have a linear relationship to the canopy green leaf area index (LAI) and its temporal pattern is strongly similar to the temporal pattern of gross primary productivity (GPP) estimated by flux towers at ground reference stations. PPI is less affected by presence of snow compared to commonly used vegetation indices such as Normalized Difference Vegetation Index (NDVI) or Enhanced Vegetation Index (EVI). The product is distributed with 500 m pixel size (MODIS Sinusoidal Grid) with 8-days compositing period.

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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.

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Despite a reduction in the last decade (land take was over 1000km2/year between 2000-2006), land take in EU28 still amounted to 539km2/year between 2012-2018. The net land take concept combines land take with land return to non-artificial land categories (re-cultivation). While some land was re-cultivated in the EU-28 in the period  2000-2018, 11 times more land was taken. Between 2000 and 2018, 78 % of land take in the EU-28 affected agricultural areas, i.e. arable lands and pastures, and mosaic farmlands. From 2000 to 2018, land take consumed 0.6 % of all arable lands and permanent crops, 0.5 % of all pastures and mosaic farmlands, and 0.3 % of all grasslands into urban areas. In proportion to their area, Cyprus, the Netherlands and Albania saw the largest amount of land take between 2000 and 2018. The  re-cultivation of land increased from 2012 to 2018, led by Luxembourg, the Netherlands, the United Kingdom and Belgium.   The main drivers of land take during 2000-2018 were industrial and commercial land use as well as extension of residential areas and construction sites.  

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Timelines for achieving good environmental staus as reported by members states

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Cumulative number of new non-indigenous species (NIS) aggregated per 6 years in all European Seas, 1949-2017, per functional group (Invertebrates, vertebrates and primary producers, (EU + non EU)

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Mean annual productivity of the White-tailed eagle in the Baltic Proper, Swedish coastal area

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The chart shows the periodical change of land cover classes, expressed in km2 and calculated as a yearly value.

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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 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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Recognition and understanding of the term 'biodiversity' has increased in the European Union. 71 % of interviewed EU citizens have heard of biodiversity and over 41 % of these know what it means. At least eight out of ten Europeans consider the various effects of biodiversity loss to be serious for humans and for nature and agree that it is important to halt its loss. The biggest perceived threats to biodiversity are pollution of air, soil and water, man-made disasters and climate change. Just under a third of respondents are aware of the Natura 2000 network, including 19 % who say they have heard about it but do not know what it is. However, the overwhelming majority agree that nature protection areas are very important in protecting endangered animals and plants or safeguarding nature's role in providing food, clean air and water. Most Europeans are not willing to trade damage or destruction of protected areas for economic development.

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Despite a reduction in the last decade (land take was over 1000km2/year between 2000-2006), land take in EU28 still amounted to 539km2/year between 2012-2018. The net land take concept combines land take with land return to non-artificial land categories (re-cultivation). While some land was re-cultivated in the EU-28 in the period  2000-2018, 11 times more land was taken. Between 2000 and 2018, 78 % of land take in the EU-28 affected agricultural areas, i.e. arable lands and pastures, and mosaic farmlands. From 2000 to 2018, land take consumed 0.6 % of all arable lands and permanent crops, 0.5 % of all pastures and mosaic farmlands, and 0.3 % of all grasslands into urban areas. In proportion to their area, Cyprus, the Netherlands and Albania saw the largest amount of land take between 2000 and 2018. The  re-cultivation of land increased from 2012 to 2018, led by Luxembourg, the Netherlands, the United Kingdom and Belgium.   The main drivers of land take during 2000-2018 were industrial and commercial land use as well as extension of residential areas and construction sites.  

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Since 1949, 1 039 non-indigenous species have been introduced into European seas. The largest proportion of NIS introductions into European seas are associated with the shipping (49.1%) and corridor pathway (33 %: Suez Canal, inland canals). These are followed by unintentional movement of live organisms as contaminants (11 %) and escapees from aquaria, aquaculture and mariculture (5.1 %). Intentional releases in nature account for 1.7 % of NIS. Main vectors for transfer of NIS by vessels are ballast waters (346 species) and boat hull fouling (287). Shipping is the major pathway for introductions in all regional seas. Specifically, 45% of NIS introductions into Eastern Mediterranean and 82% in the Black Sea are associated with the shipping pathway. Corridors are the main pathway in the Eastern Mediterranean, where more than 46 % of NIS was introduced via the Suez Canal. 14.5 % of NIC was introduced via inland canals in the Baltic Sea. Transport contaminants (directly related to oyster aquaculture) are responsible for more than 30 % of introductions in the North-East Atlantic (Celtic, Iberian, Icelandic and North Seas). While NIS introductions still occur, the rate of NIS introductions decreases in the time period 2006-2017 in all regional seas. The decreasing trend can be assigned to polices effectiveness as well as to other reasons, such as decreasing pool of potential NIS species, variations in sampling effort or available expertise. In some of EU Member States, the number of new marine species introduced via human activity has already been reduced to zero. Monitoring is not considered to sufficiently cover all the hot spot areas for new introductions. Identification of the areas that are most at risk of becoming invaded, as early detection mechanism will increase chances of eradication of invasive species.

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The map shows the temporal development of the distribution of warm-favouring (Lusitanian) fish species and of cool-favouring (Boreal) fish species by statistical area in yearly intervals, 1967 to 2018.

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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.

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This web map application uses the new version of the Effective Mesh Density (seff) 2016 dataset with improved input data, for the years 2009, 2012 and 2015. This new dataset uses the Copernicus Imperviousness and the TomTom TeleAtlas data sets as fragmenting geometries. The application shows the change in effective mesh density (seff), i.e. the number of landscape elements between 2009 and 2012 and between 2012 and 2015.

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Mean annual productivity of the White-tailed eagle in the Baltic Proper, Swedish coastal area

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The chart shows the periodical change of land cover classes, expressed in km2 and calculated as a yearly value.

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The chart shows the area of land take and recultivation for the last Corine Land Cover observation period 2012-2018 for each EEA39 country. Both land take and recultivation are expressed in m2/km2 of the country area for the sake of comparability.

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Timelines for achieving good environmental staus as reported by members states

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Cumulative number of new non-indigenous species (NIS) aggregated per 6 years in all European Seas, 1949-2017, per functional group (Invertebrates, vertebrates and primary producers, (EU + non EU)

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Total ecological footprint is represented by the colored areas (as the product of per person footprint and population size); total biocapacity is represented by the areas within red lines. As of 2014, the EU-28 had approximately 500 million citizens, and a biocapacity of 2.2 global hectares per capita.

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