Die Klima-, Vegetations- und Kulturlandschaftsgeschichte des größten alpinen Ökosystems Afrikas soll durch Analyse von neun Bohrkernen im Bale Mountains National Park, Süd-Äthiopien mittels Pollen- und Pilzsporenanalyse, Holzkohlen- und Makrorest-Analyse rekonstruiert werden, um die Hypothese einer frühen Anwesenheit von Jägern und Hirten in einem nach Mehrheitsmeinung und derzeitigem Kenntnisstand erst spät durch Feuer und Beweidung beeinflussten Hochland zu testen. Die Zusammenarbeit mit Vegetations- (plotbasierte, floristisch vollständige Transekte) und Klimaökologie (10 Klimastationen) macht eine Kalibrierung von Sporopollen-Oberflächenproben möglich; Pollentypen können durch ökologische Zeigerwerte von Pflanzen (klimatisch/edaphisch/anthropozoogen) determiniert werden. Hochaufgelöste Pollen- und Holzkohle-Stratigraphien von neun vorgesehenen Bohrpunkten erlauben die Datierung, Dauer und Intensität menschlicher Eingriffe zu bestimmen und auch zu entscheiden, wie menschverursachte Störung (vor allem Feuer) von natürlichen Störungen zu unterscheiden sind. Dungsporen sollen helfen, die Haustierbeweidung und Wildtierbeweidung abzuschätzen. Die Interpretation wird abgesichert durch den Vergleich mit Multi-Proxies (XRF-Geochemie, stabile Isotope, Diatomeen, Coleoptera-Reste) aus den Bohrkernen und den Analysen der archäologischen, Anthrosol-, und Paläoklima-Analysen, womit die Modellierung der Umweltgeschichte der Bale Mountains möglich wird.
DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]
For WWF International Ecofys made an assessment of policies and measures in G8 plus 5 countries, with recommendations for decision makers at national and international level.
DWD’s fully automatic MOSMIX product optimizes and interprets the forecast calculations of the NWP models ICON (DWD) and IFS (ECMWF), combines these and calculates statistically optimized weather forecasts in terms of point forecasts (PFCs). Thus, statistically corrected, updated forecasts for the next ten days are calculated for about 5400 locations around the world. Most forecasting locations are spread over Germany and Europe. MOSMIX forecasts (PFCs) include nearly all common meteorological parameters measured by weather stations. For further information please refer to: [in German: https://www.dwd.de/DE/leistungen/met_verfahren_mosmix/met_verfahren_mosmix.html ] [in English: https://www.dwd.de/EN/ourservices/met_application_mosmix/met_application_mosmix.html ]
Regulation (EU) 2018/956 requires EU Member States and manufacturers to report data related to heavy-duty vehicles. Member States report trucks, buses and trailers registered in their territory. Manufacturers report trucks of specific types that are subject to certification requirements. The reporting periods are annual and run from 1st July to 30 June the following year. One exception was the first reporting which covered 1st January 2019 to 30 June 2020. In addition, the dataset covers the United Kingdom and Norway who reported data in line with the Regulation (EU) 2018/956 (the UK was subject to the Regulation in the reporting period 2019-20).
The grid is based on the recommendation at the 1st European Workshop on Reference Grids in 2003 and later INSPIRE geographical grid systems. For each country three vector polygon grid shape files, 1, 10 and 100 km, are available. The grids cover at least country borders - plus 15km buffer - and, where applicable, marine Exclusive Economic Zones v7.0 - plus 15km buffer - (www.vliz.be/vmdcdata/marbound). Note that the extent of the grid into the marine area does not reflect the extent of the territorial waters.
All EU Member States are requested to monitor birds listed in the Birds Directive (2009/147/EC) and send a report about the progress made with the implementation of the Directive every 6 years following an agreed format. The assessment of breeding population short-term trend at the level of country is here presented. The spatial dataset contains gridded birds distribution data (10 km grid cells) as reported by EU Member States for the 2013-2018 period. The dataset is aggregated by species code and country in the attribute CO_MS. By use of the aggregated attribute [CO_MS], the tabular data can be joined to the spatial data to obtain e.g. the EU population status and trend. This metadata refers to the INTERNAL dataset as it includes species flagged as sensitive by Member States. Therefore, its access is restricted to only internal use by EEA.
The report concludes with a global cumulative GHG emission cap for the period from 2010 till 2050. It outlines mid-term and long-term cumulative emission allowances for key countries under the three equity approaches and trajectories for these countries to keep global warming below 2 degrees Celsius. The objective of the report is to initiate a constructive debate among and foster long-term commitments of the parties while moving towards a fair, ambitious and binding Copenhagen agreement. The report was written on request of WWF.
The EU Bathing Waters Directive requires Member States to identify popular bathing places in fresh and coastal waters and monitor them for indicators of microbiological pollution (and other substances) throughout the bathing season which runs from May to September
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