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The figure shows concentrations of CB188 relative to the assessment criteria BAC (Background Assessment Concentration) and EQS (Environmental Quality Standard as given in the Water Framework Directive). For instance, a point at '4x EQS' indicates a site where the observed concentration was four (4) times the EQS limit. The points have been spread in the x direction in order to avoid too much overlap.
There is one map for each of the contaminants. In the map, each of the small dots represents a station (a location which is regularly monitored), coloured according to estimated concentration levels (low/moderate/high relative to environmental thresholds). The big pie diagrams show, for each region, the proportion of stations that have low/moderate/high concentration levels. The arrow by each pie diagram shows whether concentrations are in general increasing or show no significant change. There were no cases of decreasing trends.
The figure shows the percentage of monitoring sites with threshold exceedances of pesticides in surface waters, different sized rivers, lakes and groundwater in European countries. This was used to examine threshold exceedances according to Surface Waters; Rivers, small; Rivers, medium; Rivers, large; Lakes, and Groundwater.
The figures show the percentage of monitoring sites with exceedance of effect thresholds or quality standards, set by European or national regulatory standards, and weighted by country area to reduce the impact of uneven data reporting. For surface waters, EU environmental quality standards and (in the absence of those) national regulatory standards were used, reflecting the lowest ecotoxicologically-based effect threshold. Effect thresholds were identified for 116 out of 237 pesticides (49%). The exceedances included here refer to those 116 pesticides. For groundwater, the Groundwater Directive quality standard of 0.1µg/l was used to identify exceedance. Twelve non-relevant metabolites (nrM) were excluded from the assessment.
Observations are aggregated at the level of 100*100 km grid cells, and show the mean 25-percentile of dissolved oxygen (DO) concentrations subdivided in four classes (<2 mg/l, 2-4 mg/l, 4-6 mg/l, >6 mg/l). The pie charts indicate the relative spatial coverage of areas with the four different concentrations of DO, aggregated by Marine Strategy Framework Directive (MSFD) marine regions - North-East Atlantic Ocean, Baltic Sea, Mediterranean Sea and Black Sea (smaller pie charts) and for all regions combined (large pie chart in centre). Oxygen concentrations above 6mg/l are considered to support marine life with minimal problems while concentrations less than 2mg/l (hypoxia, oxygen deficiency) are considered to cause severe problems.
The maps show trends in annual 25-percentile of oxygen concentrations in near-bottom waters at stations with at least 6 years of observations in the period 1989-2021, and the number of trends for the North-East Atlantic and Baltic Sea, by three classes of DO concentrations: <4mg/l (including <2mg/l class); 4-6mg/l and >6mg/l. Only trends for time series ending after 2000 are included. The chart shows the number of time series with increasing trend/no trend/decreasing trend in the North-East Atlantic Ocean and Baltic Sea for grid cells with concentrations <4 mg/l, 4-6 mg/l and >6 mg/l group, for oxygen concentrations in the near-bottom layer during 1989-2021.
The black line indicates changes in the total circular material use rate for the EU over time, while the coloured lines show changes in the circular material use rates for the various material groups.
Trends in concentrations of nitrogen (dissolved inorganic nitrogen—DIN) and phosphorus (orthophosphate) in the upper 10m of the water column in European seas during the season of low phytoplankton growth (SLPG) are shown for the period 1980-2021. Green circles indicate stations with significant (p<0.05) decreasing trends; orange circles show stations with significant (p<0.05) increasing trends; and grey circles show stations with no significant trends. In these cases, p is a statistical term describing the probability that the trend is significant.
The different sea regions are presented in the Y axis. The X axis corresponds to the number of time series with statistically significant decreasing trends (green), increasing trends (orange) and no trends (grey). Statistical significance at p<0.05.
Cluster columns chart shows development in landfill rate of municipal waste in European countries in 2010 and 2021. Data is presented in descending order according to 2021 data values. Line chart represents EU landfill target for 2035.
The figure combines two charts. The stacked chart shows the amounts and percentage of waste (excluding major mineral waste) deposited in landfills in the EU-27. The line chart shows amounts landfilled for major waste categories (household and similar waste, combustion waste, sorting residues and other waste).
The figure shows the proportion of commercial European fish landings assessed per regional sea distinguishing between assessed and non-assessed stocks. For the assessed stocks a distinction is made between (i) landings of stocks for which information is available to determine Good Environmental Status (GES) for Fishing mortality (F) and/or Spawning Stock Biomass (SSB) and (ii) landings for stocks for which information is not available to determine GES for F and/or SSB.
This figure shows the state of the assessed commercially exploited fish and shellfish stocks per European marine region, for which assessments were conducted in 2019-2022. Stocks for which adequate information is available to determine Good Environmental Status (GES) for fishing mortality (F) and/or reproductive capacity (spawning stock biomass (SSB)) are included (i.e. Z, total number of stocks; Y, total number of assessed stocks; and X, number of stocks for which adequate information is available to determine GES on the basis of these two criteria). A distinction is made between stocks: (1) in good status based on both fishing mortality and reproductive capacity; (2) in good status based on only one of the criteria - fishing mortality or reproductive capacity (either because one of the two criteria is not in good status or because there is only one available criteria, and it is in good status); and (3) not in good status based on both fishing mortality and reproductive capacity (may include cases where only one criteria is available and it is not in good status).
This figure shows trends in the status of assessed commercially exploited fish and shellfish stocks between 1947 and 2021, expressed in two metrics-fishing mortality (F) and reproductive capacity (i.e. spawning stock biomass (SSB))-relative to their policy thresholds for the Marine Strategy Framework Directive's 'good environmental status' (GES) (i.e. FMSY and MSY Btrigger, respectively).
The graph shows the aggregated environmental impacts associated with each of the seven consumption domains, that are caused by EU consumption, regardless of where these impacts occur.
The graph shows the level of aggregated environmental impacts associated with the consumption of each EU Member State, expressed in points per capita for the years 2010 and 2021, sorted from the country with the highest impacts to the country with the lowest impacts in 2021.
The projected probability increase of a certain extreme sea level is often presented as an amplification factor (AF) that indicates the ratio between the future and historical probability of that extreme sea level (commonly the 1-in-100 years extreme event). The use of the historical probability of the 1-in-100 years extreme sea level combined with future projections of sea level rise, available from CMIP6 projections (Coupled Model Intercomparison Project phase 6), allow to provide and estimate of the year of occurrence for a 10 times amplification of the historical event (AF10) under an optimistic future scenario (Shared Socioeconomic Pathways SSP1-2.6) and a future one without significant emissions abatement (SSP5-8.5).
The projected probability increase of a certain extreme sea level is often presented as an amplification factor (AF) that indicates the ratio between the future and historical probability of that extreme sea level (Hermans et al., 2023). The use of these estimates allow one to evaluate the changes of the 1-in-100 years extreme events according to sea level rise projections and provide an estimate of the requested SLR increase to determine a more frequent occurrence, e.g. 1-in-10 year (AF10) or every year (AF100).
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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