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This figure shows the trends in nitratre concentrations in European rivers and groundwater and the trends in phosphorus in European lakes and rivers
An index giving an indication of the relative magnitude of the effects of climate change stressors onmarin ecosystems.
Left graph: A decline in pH corresponds to an increase in the acidity of ocean water. Data originate from the Aloha station pH time series (adapted from Dore, J.E., et al., 2009, 'Physical and biogeochemical modulation of ocean acidification in the central North Pacific', Proceedings of the National Academy of Sciences of the United States of America 106:12235-12240). Changes here are similar to those that are observed over a shorter time frame in Europe (see here: http://www.climatechange2013.org/images/figures/WGI_AR5_Fig3-18.jpg). In figure, "In situ measurement (Aloha station)" corresponds to data based on in-situ measurements, while "Calculated (Aloha station)" corresponds to calculated data. Global annual average of surface ocean pH from the Copernicus Marine Service, based on a reconstruction method using in situ data and remote sensing data, as well as empirical relationships. Indicator is available at annual resolution, and from the year 1985 onwards. The error on each yearly value varies, and is added to the data file sheet. The estimated yearly uncertainty envelope shown in the figure is defined as the annual mean of pH ± 2 standard deviations, which corresponds to a 95% confidence interval of the mean estimate. Right graph: Time series (1870-2022) of decadal average observed sea surface temperature anomalies (°C), with respect to the period 1991-2020, for each of the European basins, for the European seas as a whole, and for the global ocean. Data sources: HadSST4.0.1.0 (1850-2022), ERSSTTv5 (1880-2022), HadISST1 (1870-2022) and satellite-based ESA CCI/C3S SST Climate Data Record v2.1 (1991-2022).
This viewer shows estimates of the impacts of renewable energy consumption since 2005 on the use of fossil fuels and emissions of greenhouse gases (GHGs) and air pollutants.
This figure shows the average forest connectivity for each EU member state in 2018. Forest connectivity is calculated as the share of land covered by forest or small woody features in a local neighbourhood of 10 hectares surrounding the focal forest grid cell.
This viewer outlines progress in the use of renewable energy sources in the EU and at country level, as well as per energy market sector and technology
This chart shows the EU's raw material consumption.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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