Data Visualization
12 Apr 2018
New truck registrations by EU-28 in 2016
Data Visualization
12 Apr 2018
The maps reports the average CO2 emissions (g CO2/km) from new passenger cars registered in 2016 by country.
Indicator Assessment
03 Apr 2018
Safeguarding healthy commercial fish and shellfish populations is one of the 11 descriptors of the Marine Stretegy Framework Directive (MSFD) for achieving GES. This objective is closely related to the objectives of the Common Fisheries Policy (CFP), in particular the objective of ensuring the maximum sustainable yield (MSY) for all stocks by 2015 where possible, and at the latest by 2020.
Currently, around 74 % of the assessed fish and shellfish stocks in Europe’s seas are not in GES, whereas only 26 % are in GES when assessing both the level of fishing mortality and reproductive capacity; this assessment does not include the third GES criterion on age and size structure of the populations as this cannot be assessed at present. These percentages vary considerably between MSFD (sub)regions — from at least 67-88 % of the stocks meeting at least one of the GES criteria in the regions in the NE Atlantic and the Baltic Sea to only one out of 27 (4 %) and one out of 8 (13 %) in the Mediterranean Sea and the Black Sea respectively.
Important signs of improvement are being observed in the NE Atlantic Ocean and Baltic Sea. Since the early 2000s, better management of fish and shellfish stocks has contributed to a clear decrease in fishing pressure in these two regional seas. Signs of recovery in the reproductive capacity of several fish and shellfish stocks have started to appear. If these efforts continue, meeting the 2020 objective for healthy fish and shellfish stocks in the NE Atlantic Ocean and Baltic Sea could be possible based on two of the three criteria (i.e. fishing mortality and reproductive capacity). In contrast, there is little likelihood that the 2020 policy objective will be met in the Mediterranean and Black Seas.
Natura 2000 is the key instrument to protect biodiversity in the European Union. It is an ecological network of protected areas, set up to ensure the survival of Europe's most valuable species and habitats. Natura 2000 is based on the 1979 Birds Directive and the 1992 Habitats Directive. This version covers the reporting in 2017.
Indicator Assessment
27 Feb 2018
Over the period 1980-2016, t he total reported economic losses caused by weather and climate-related extremes in the EEA member countries amounted to approximately EUR 436 billion (in 2016 Euro values).
Average annual economic losses varied between EUR 7.4 billion over the period 1980-1989, EUR 13.3 billion (1990-1999) and EUR 13.9 billion (2000-2009). Between 2010 and 2016, average annual losses were around EUR 12.8 billion. This high variability makes the analysis of historical trends difficult, since the choice of years heavily influences the trend outcome.
The observed variations in reported economic losses over time are difficult to interpret since a large share of the total deflated losses has been caused by a small number of events. Specifically, more than 70 % of economic losses were caused by just 3 % of all unique registered events.
Between 1980 and 2016, natural disasters caused by weather and climate-related extremes accounted for some 83 % of the monetary losses in the EU Member States. Throughout these 37 years, weather and climate-related losses accounted for a total of EUR 410 billion (at 2016 values). Reported economic losses mainly reflect monetised direct damages to certain assets. The loss of human life, cultural heritage or ecosystem services is not part of the estimation.
In the EU, the most expensive climate extremes in the period analysed include the 2002 flood in Central Europe (over EUR 20 billion), the 2003 drought and heat wave (almost EUR 15 billion), and the 1999 winter storm and October 2000 flood in Italy and France (EUR 13 billion), all at 2016 values.
The EUNIS habitat classification is a comprehensive pan-European system to facilitate the harmonised description and collection of data across Europe through the use of criteria for habitat identification. It is hierarchical and covers all types of habitat from natural to artificial, from terrestrial to freshwater and marine.
GIS Map Application
12 Jan 2018
Classes represent the number of meshes per 1 000 square kilometres. Light colours mean less fragmentation pressure and dark colours mean more fragmentation pressure exerted by urban and transport infrastructure expansion.
GIS Map Application
14 Dec 2017
The map reflects the most recent available information at the EU-level on implementation of the Urban Waste Water Treatment Directive (UWWTD) in EU 28 plus Iceland, Norway and Switzerland based on data reported by the Member States (for reference years 2013 or 2014) in 2015.
Information reported by EU Member States under the European mechanism for monitoring and reporting information relevant to climate change (EU, 2013b) and additional information provided on a voluntary basis to EEA up to September 2017 and the draft country fiches of the European Commission Adaptation Scoreboard (EC, 2017) for other EEA member countries information provided on a voluntary basis to the EEA up to September 2017.
Table
Food system actors represent the largest group of natural resource managers in the world. They
are critical in both creating the problems and implementing the solutions. Identifying actors along
the food chain as well as where and how power is located enables policy makers to develop
management approaches targeted towards those actors with influence. In addition to those
directly involved in food chain activities, governments and civil society are also important as they
set the wider policy and societal context.
In a global food system, Europe’s imports and their consumption have an environmental, social
and economic impact beyond European borders. In 2013, Europe had net imports of around
27 million tonnes of soybeans and soybean products for oil production and animal feed. This
means Europe is dependent on overseas land for its own livestock production most of which is
in South America.
