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Methanproduktion durch Mikrophytobenthos und dessen Beitrag am benthischen Methanfluss in der Küstenzone der Ostsee

Der Anstieg natürlicher Emissionen des Treibhausgases Methan haben einen bedeutenden Einfluss auf das Klima der Erde. Als Methanquelle nehmen küstennahe Gewässer eine besondere Stellung ein, da die Methankonzentration im Wasser hier wesentlich höher ist als im offenen Ozean. Trotz der Bedeutung der Küstengebiete ist bisher nur wenig bekannt über die hier zu findenden Methanemittenten und ihr jeweiliger Beitrag am atmosphärischen Methanfluss. Zudem zeigen eine Reihe aktueller Untersuchungen, dass Methan nicht nur unter anoxischen Bedingungen mikrobiell gebildet werden kann, sondern dass dies auch in einer oxischen Umgebung möglich ist. Eine solche Methanproduktion nahe der Meeresoberfläche würde den Weg zwischen Methanquelle und Atmosphäre wesentlich verkürzen und damit den Methanfluss in die Atmosphäre verstärken. Aufgrund einiger Untersuchungen, die eine Verknüpfung zwischen Primär- und Methanproduktion aufzeigen, stellen wir die Hypothese auf, dass Mikrophytobenthos (MPB)-Gemeinschaften eine wichtige, aber bisher nicht bearbeitete Stellung in der Flachwasser-Methandynamik zukommen. MPB-Gemeinschaften nehmen eine herausragende Rolle in der Primärproduktion von Küstensedimenten ein. Um die Bedeutung der MPB-assoziierten Methanproduktion besser einordnen zu können, werden wir das Potential dieser Methanquelle in Inkubationsexperimenten detailliert untersuchen. Zur Bestimmung der hierbei wichtigen Effektoren und Mikrophytobenthosarten werden wir an verschiedenen axenischen und xenischen klonalen Kulturen benthischer Diatomeen-Spezies die Primär- und Methanproduktion unter kontrollierten Temperatur- und Lichtbedingungen bestimmen. Mit Hilfe einer neuen Cavity-Ring-Down-Spektroskopie basierten Methode planen wir an geschlossenen Inkubationen die Methankonzentrationsentwicklung in hoher zeitlicher Auflösung über Tag/Nacht Zyklen zu erfassen. Zusätzliche Inkubationen mit 13C-markierten Substraten werden es uns erlauben, den Weg der Methanproduktion in den Diatomeen einzugrenzen. Bisher wurde der Prozess der oxischen Methanproduktion nur in Kulturexperimenten untersucht. Ob die hier ermittelten Raten auch in die natürliche Umgebung übertragbar sind, wurde hingegen nicht geprüft. Um diese Wissenslücke zu schließen, planen wir neben den Experimenten an klonalen Kulturen auch Studien an natürlichen MPB-Gemeinschaften durchzuführen. Diese Gemeinschaften werden wir im Flachwasser vor der Insel Askö (schwedische Ostseeküste) und dem inneren Küstengewässer vor Zingst (Darßer-Zingst-Bodden, deutsche Ostseeküste) beproben, um ein möglichst breites Spektrum an Sedimenten, hydrodynamischen Bedingungen und MPB-Gemeinschaften abzudecken. Um die in unseren Experimenten ermittelten Methanproduktionsraten in die benthischen und atmosphärischen Methanflüsse besser einordnen zu können, werden wir in beiden Untersuchungsgebieten die Methanflüsse zwischen Sediment, dem Wasser und der Atmosphäre bestimmen.

[EU SDG 06_60] Water exploitation index, plus (WEI+)

The WEI+ provides a measure of total water consumption as a percentage of the renewable freshwater resources available for a given territory and period. The WEI+ is an advanced geo-referenced version of the WEI. It quantifies how much water is abstracted monthly or seasonally and how much water is returned before or after use to the environment via river basins (e.g. leakages, discharges by economic sectors). The difference between water abstractions and water returns is regarded as ‘water consumption’.

EU27_2020 basemap for EEA internal use

This Discomap web map service provides an EU-27 (2020) basemap for internal EEA use as a background layer in viewers or any other web application. It is provided as REST and as OGC WMS services, dynamic and cached. The cached service has a custom cache at the following scales: 1/50.000.000 1/42.000.000 1/36.000.000 (Europe's size) 1/30.000.000 1/20.000.000 1/10.000.000 1/5.000.000 1/2.500.000 1/1.000.000.

Floods Reference Spatial Datasets reported under Floods Directive - version 2.0, Jul. 2024

The Floods Directive (FD) was adopted in 2007 (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060). The purpose of the FD is to establish a framework for the assessment and management of flood risks, aiming at the reduction of the adverse consequences for human health, the environment, cultural heritage and economic activity associated with floods in the European Union. ‘Flood’ means the temporary covering by water of land not normally covered by water. This shall include floods from rivers, mountain torrents, Mediterranean ephemeral water courses, and floods from the sea in coastal areas, and may exclude floods from sewerage systems. This reference spatial dataset, reported under the Floods Directive, includes the areas of potential significant flood risk (APSFR), as they were lastly reported by the Member States to the European Commission, and the Units of Management (UoM).

WISE WFD Reference Spatial Datasets reported under Water Framework Directive 2022 - INTERNAL VERSION - version 1.8, Mar 2025

The dataset contains information on the European river basin districts, the river basin district sub-units, the surface water bodies and the groundwater bodies delineated for the 3rd River Basin Management Plans (RBMP) under the Water Framework Directive (WFD) as well as the European monitoring sites used for the assessment of the status of the above mentioned surface water bodies and groundwater bodies. This data set is available only for internal use of the European Commission and the European Environment Agency. Please enter the publicly available version to access data: https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/bce2c4e0-0dad-4c42-9ea8-a0b82607d451 The information was reported to the European Commission under the Water Framework Directive (WFD) reporting obligations. The dataset compiles the available spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022). See http://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 spatial reporting. Note: * This dataset has been reported by the member states. The subsequent QC revealed some problems caused by self-intersections elements. Data in GPKG-format should be processed using QGIS.

Rodent composition of urban and forested areas in Potsdam, Germany

The present dataset from Germany is encompassed in the European Biodiversa BioRodDis project (Managing BIOdiversity in forests and urban green spaces: Dilution and amplification effects on RODent microbiomes and rodent-borne DISeases. Project coordinator: Nathalie Charbonnel, Senior researcher (DR2, INRAE), nathalie.charbonnel@inrae.fr - https://www6.inrae.fr/biodiversa-bioroddis). The project comes with the purpose to explore on a large scale the relationship between biodiversity of rodents, rodent-borne diseases dynamics and differences over time in a changing climate and it includes data of small terrestrial mammals from temperate forests and urban parks from the following countries: Belgium, France, Germany, Ireland and Poland. The present dataset includes records of small mammals (Rodentia) occurrences trapped in urbanised and forested areas in northeast Germany in the district of Potsdam (Brandenburg). Samplings and data collection took place throughout three years and during a total of four seasons: winter 2020, spring 2021, autumn 2021 and spring 2022. The number of sampling sites varied between 2 and 4 per seasons, with two main sites (Germany EastA and Germany EastB) being permanent in each sampling season. These variations are mainly due to the impact of SARS-CoV-2 pandemic regulations (2020, 2021) on the organisation and the execution of fieldwork and to the exclusion subsequently of forested sites with very low density of animals (≤10 individuals: Germany EastC, Germany EastB). The two main sampling sites represent different levels of anthropisation. The site Germany EastA is around the Botanical Garden belonging to the University of Potsdam with a mixture of sealed and wooded areas and a constant human presence while the site Germany EastB is a forested sub-urbanised area outside of the city composed by mixed coniferous forests, meadows, crossed by a main road and with occasional human presence (hunters, foresters). All animals were live captured (as in Schirmer et al., 2019) using a combination of Ugglan and Longworth traps for a total of 100-150 traps, depending on site and year. Traps were placed in 4 to 6 lines with 25m distance, and each line was composed by a total of 25 traps placed with 10m distance from each other. Fieldwork actions generally started with 1-4 days of pre-baiting followed by 1-10 days of trapping, according to efficiency of trapping and subprojects included. The sites Germany EastC and Germany EastD were excluded from the last two seasons because of very low trapping success during the previous seasons. All the traps were controlled daily during early morning hours and were activated again in the evening, with animals spending not more than eight hours in the trap. Baiting mixture consisted of oat flakes and apples and all traps were equipped with insulating material, like hay or wood wool. Taxonomical identification was determined in the field at species level according to morphology and previously recorded species occurrences in the sampling area (Dolch, 1995). Molecular identification of Apodemus flavicollis and Microtus individuals that were subsequently dissected was performed by the CBGP (France) using CO1 sequencing for Microtus species following Pagès et al., 2010, and DNA fingerprinting (AP-PCR) for Apodemus species (Bugarski-Stanojević et al., 2013). Dissections and body measurements were performed following the protocols described in Herbreteau et al., 2011. At the end of all seasons, a total of 620 occurrences of rodents was recorded, belonging to two main families (Muridae, Cricetidae) and four different species (Apodemus flavicollis, Apodemus agrarius, Myodes glareolus and Microtus arvalis). Additionally, for a subset of individuals (n=264), body measurements like weight, body length, head width, tail length and hind foot length as well as sexual maturity data were recorded. Animals were captured in accordance with the applicable international and institutional guidelines for the use of animals in research. The trapping and collection of rodents was performed under the permission of “Landesamt für Arbeitsschutz, Verbraucherschutz und Gesundheit Brandenburg (LAVG)“ (no. 2347-A-16-1-2020 for procedure, LUGV_RW7-4744/41+5#243052/2015 and N1 0424 for trapping) and “Landesamt für Umwelt Brandenburg (LfU)” (no. LFU-N1-4744/97+17#194297/2020, for sites and species exemptions). This project was funded through the 2018-2019 BiodivERsA joint call for research proposals, under the BiodivERsA3 ERA-Net COFUND programme, and coordinated by the German Science Foundation DFG (Germany). Citations: 1) Bugarski-Stanojević, V., Blagojević, J., Adnađević, T., Jovanović, V., & Vujošević, M. (2013). Identification of the sibling species Apodemus sylvaticus and Apodemus flavicollis (Rodentia, Muridae)—Comparison of molecular methods. Zoologischer Anzeiger - A Journal of Comparative Zoology, 252(4), 579–587. https://doi.org/10.1016/j.jcz.2012.11.004 2) Dolch, D. (1995). Naturschutz und Landschaftspflege in Brandenburg. 97. 3) Herbreteau, V., Jittapalapong, S., Rerkamnuaychoke, W., Chaval, Y., Cosson, J.-F., & Morand, S. (2011). Protocols for field and laboratory rodent studies. 56. 4) Pagès, M., Chaval, Y., Herbreteau, V., Waengsothorn, S., Cosson, J.-F., Hugot, J.-P., Morand, S., & Michaux, J. (2010). Revisiting the taxonomy of the Rattini tribe: A phylogeny-based delimitation of species boundaries. BMC Evolutionary Biology, 10(1), 184. https://doi.org/10.1186/1471-2148-10-184 5) Schirmer, A., Herde, A., Eccard, J. A., & Dammhahn, M. (2019). Individuals in space: Personality-dependent space use, movement and microhabitat use facilitate individual spatial niche specialization. Oecologia, 189(3), 647–660. https://doi.org/10.1007/s00442-019-04365-5

EEA basemap

This Discomap web map service provides an EU-27 (2020) basemap for internal EEA use as a background layer in viewers or any other web application. It is provided as REST and as OGC WMS services, dynamic and cached. The cached service has a custom cache at the following scales: 1/50.000.000 1/42.000.000 1/36.000.000 (Europe's size) 1/30.000.000 1/20.000.000 1/10.000.000 1/5.000.000 1/2.500.000 1/1.000.000.

EEA Reference grid

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.

Population trend of bird species: datasets from Article 12, Birds Directive 2009/147/EC reporting (2013-2018) - INTERNAL VERSION - Oct. 2020

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.

Städtische Wärmeinsel der Stadt Münster

<p>Dieser Datensatz enthält die Informationen der städtischen Wärmeinsel für die Stadt Münster in Nordrhein-Westfalen. Die Daten werden im Rahmen der Open-Data-Initiative der Stadt Münster zur Verfügung gestellt.</p> <p>Die städtische Wärmeinsel (englisch "Urban Heat Island", kurz UHI) ist ein typisches Merkmal des Stadtklimas. Sie wird durch die Lufttemperaturdifferenz zwischen der meist wärmeren Stadt und ihrem kühleren Umland charakterisiert.</p> <p>Weitere Informationen erhalten Sie auf der <a href="https://www.stadt-muenster.de/klima/klimaanpassung/tipps/hitze">Homepage "Klimaanpassung in Münster"</a> der Stabsstelle Klima.</p>

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