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Data viewer on Total greenhouse gas emissions and removals of the EU, based on data reported by EU Member States under the EU Governance Regulation.
There is little information available about the volume of textile products that are not sold. Few companies report on the volume of unsold goods and the numbers that exist are based on companies’ own reporting and lack transparency. The figure shows that the numbers are rather divergent between different countries, years, and sources. Overall, the average share of unsold textile products found in literature is 21%.
Historical and projected GHG emissions reported by the EU Member States and quality checked by the EEA. Values expressed in MtCO₂e. For historic years, disaggregation to 4 subcategories is available. There are two scenarios of projected emissions: WEM, with existing measures scenario and WAM, with additional measures scenario.
The periods within which peak concentrations could be exceeded are shown by light blue arrows, based on the trend of the past 10 years in total greenhouse gas concentrations and without allowing for a temperature overshoot (based on IPCC, 2019).
The map shows the International Council for the Exploration of the Sea (ICES) rectangles covered by the Database Trawl Surveys (DATRAS) surveys over the period analysed (1967-2022).
The charts show: Top figures: the temporal development in the number of species of each biogeographical affinity group (Atlantic, Boreal, Lusitania and Unknown) by marine region (Greater North Sea, Baltic Sea, Celtic Seas and Bay of Biscay and the Iberian Coast). Bottom figures: the temporal development of the ratio between Lusitanian and Boreal species and sea surface temperature by marine region to investigate correlations.
The maps show the temporal development of the ratio between the number of warm-favouring (Lusitanian) fish species and the number of cool-favouring (Boreal) fish species by The International Council for the Exploration of the Sea (ICES) statistical area in 8-year intervals from 1982 to 2022.
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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