This figure shows the trends in nitrate in European groundwater and rivers and the trends in phosphorus in European lakes and rivers.
Data Visualization
25 Mar 2022
Data Visualization
25 Mar 2022
• Total water input is expressed in m3/ha and gross value added is expressed in purchasing power standard (PPS)/ha, where the area in ha represents the sum of arable land and land with permanent crops. The monetary unit being used (PPS) accounts for purchasing power differences among countries. Theoretically, one PPS can buy the same amount of goods and services in each country.
• Water use intensity of crop production is classified at the regional level according to the quartile (Q) distribution of all time series (2005-2016): below Q1 (light blue) indicates a low water intensity of crop production; above Q3 (dark blue) indicates a high water intensity of crop production; and between Q1 and Q3 (mid-blue) indicates a moderate water intensity of crop production.
• Regional groupings of EU Member States and the UK are based on UN Geoscheme — Standard M49: eastern Europe (Bulgaria, Czechia, Hungary, Poland, Romania and Slovakia), northern Europe (Denmark, Estonia, Finland, Ireland, Lithuania, Latvia, Sweden and the United Kingdom), southern Europe (Cyprus, Greece, Croatia, Italy, Malta, Portugal, Slovenia and Spain) and western Europe (Austria, Belgium, Germany, France, Luxembourg and the Netherlands).
• Gap filling has been performed for certain years and countries: 2010 data have been used for 2011 Greece data; 2006 data have been used for 2007 Hungary data; 2005 data have been used for 2007 Luxembourg data; 2009 data have been used for 2010 Portugal data; 2015 data have been used for 2016 Sweden data.
Pesticides can end up in rivers, lakes and groundwaters, with potential to harm aquatic ecosystems and water quality. The European Environment Agency’s (EEA) new indicator, which aims to track Europe’s progress in reducing pesticides in waters, shows that excessive levels of pesticides have been recorded in a considerable share of European freshwaters.
The pan-European High-Resolution Vegetation Phenology and Productivity product suite (HR-VPP) are provided at a high spatial resolution (10 m x 10 m) with a high repeat frequency. They are derived from the optical Sentinel-2 constellation data (Sentinel-2A and Sentinel-2B) with a revisit time of 5 days. They are generated over the entire EEA39 region (33 member countries and 6 cooperating countries) from January 1 2017 onwards, with a daily, 10-daily and yearly frequency (see below).
The HR-VPP product suite contains 3 product groups, 31 product types, 1522 files and more than 900.000 tiles per year, which totals more than 80 Terra Bytes of data, per year.
Indicator Assessment
26 Oct 2021
Greenhouse gas emissions from the agriculture sector are covered by national annual emission targets. Between 2005 and 2019, the EU’s agriculture emissions remained stable. Current national projections only foresee a modest decline of 2% by 2030, compared with 2005 levels, and a 5% reduction with the implementation of currently planned measures. This projected progress remains largely insufficient and highlights the need for further action if Member States are to reach their binding annual targets and the EU its climate neutrality goal by 2050.
Indicator Assessment
12 May 2021
Birds and butterflies are sensitive to environmental change and can indicate the health of the environment. Long-term monitoring shows significant declines in farmland birds and grassland butterflies. Between 1990 and 2019, the index of 168 common birds decreased by 8% in the 25 EU Member States with monitoring schemes. The decline in common farmland birds over the same period was much more pronounced at 27%, while the common forest bird index increased by 5%. Between 1991 and 2018 the grassland butterfly index also declined strongly, by 25%, in the 19 EU countries with monitoring data.
This report was initiated following the EEA's 2018 assessment of the status of and pressures on European waters, to highlight the role of agriculture in achieving an improved status of surface water and groundwater in future river basin management plans
The EEA has addressed the consequences of climate change in numerous reports, including Climate change, impacts and vulnerability in Europe 2016, the 2019 report Climate change adaptation in the agriculture sector in Europe and the European environment — state and outlook 2020 report. This briefing analyses the implications for Europe of the impact of global climate change on agricultural trade.
Agriculture has multiple impacts on the environment, climate and human health. Unsustainable farming
practices lead to pollution of soil, water, air and food and over-exploitation of natural resources.
Pollution changes a medium such as air, water or soil in a way that can make it harmful to people or
nature. Different types of pollutants include chemicals, dust, noise and radiation. EEA Signals 2020
looks at pollution through different lenses related to the Agency’s work and EU legislation.
Accumulated ozone exposure values for vegetation and crops — over a threshold of 40 parts per billion (AOT40c) — for 2018, as calculated for the fusion maps and as measured at rural background stations.
The raster datasets describe land cover flows between 2000-2018, 2000-2006, 2006-2012 and 2012-2018 for the EEA39 region. Land Cover Flows summarize and interpret the 44x43=1892 possible one-to-one changes between the 44 CORINE land cover classes. The changes are grouped to so called flows of land cover and are classified according to major land use processes. The nomenclature of flows is organized on 3 hierarchical levels. See lineage on the nomenclature.
The classification of land cover flows results from the feasibility studies and subsequent revisions after discussion with experts in agri-environment and forestry. Basically, the classification of land cover flows distinguishes change between broad land cover classes and changes internal to these classes. Analysis of land cover flows supplies a rapid vision of land use change processes taking place and they shed light on the drivers of various land use change processes such as e.g. urbanization.
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