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 1st 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 abovementioned 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 use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/6b55632c-63df-4542-97f0-363dfb6d3431 for external use. 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 1st RBMPs which were due in 2010 (hereafter WFD2010). See http://rod.eionet.europa.eu/obligations/521 for further information on the WFD2010 reporting. It was prepared to support the reporting of the 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. The data reported in WFD2010 were updated using data reported in WFD2016, whenever the spatial objects are identical in 2010 and 2016. For WFD2010 objects, some information may be missing, if the objects no longer exist in the 2nd River Basin Management Plans, and were not reported in WFD2016. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 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.
The 'GISCO NUTS 2021' data set represents the NUTS 2021 regulation and statistical regions by means of multipart polygon, polyline and point topology. The NUTS geographical information is completed by attribute tables and a set of cartographic help lines to better visualize multipart polygonal regions. The NUTS nomenclature is a hierarchical classification of statistical regions defined by Eurostat. The NUTS classification subdivides the EU economic territory into 3 statistical levels. The NUTS 2021 classification has been established through the Commission Delegated Regulation 2019/1755, which entered into force on 8th August 2019 and applies from 1st January 2021. A non official NUTS-like classification has been defined for the EFTA countries and the candidate countries. At present, six scale ranges (100K, 1M, 3M, 10M and 20M, 60M) are maintained in the GISCO geodatabase. The polygon and boundary classes delineate the regions, while the points provide an anchor for each region. Associated tables contain basic information such as the name of the region. The public data set will be available at 1M, 3M, 10M, 20M, 60M, while the full data set at 100K is restricted. The data set covers EU Member States, EFTA countries, EU candidate countries and the UK. Following the departure of the UK from the European Union, the UK is no longer flagged as an EU Member State but retains its place in the NUTS and statistical regions data set. This dataset (NUTS_2021) is derived from the EuroBoundary Map 2020 (EBM2020) from Eurogeographics as well as GISCO NUTS 2016 (from Türkiye). The list of NUTS2021 codes including changes with respect to NUTS2016 is available on https://ec.europa.eu/eurostat/documents/345175/629341/NUTS2021.xlsx. The public metadata for NUTS 2021 released by Eurostat is available here: https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-metadata.xml. This revision (May 2021) includes minor changes in the dataset such as (see https://gisco-services.ec.europa.eu/distribution/v2/nuts/nuts-2021-release-notes.txt): * 2020-10-05 Point snapping is disabled in all datasets, number of decimals increased for 01M datasets. * 2020-11-18 Inclusion of Jan Mayen and Svalbard in to Norways Statistical Regions. Amendment to Serbia NUTS BN line status. * 2020-12-05 Fixed broken utf-8 encoding. * 2021-03-15 Added LAU 2011,2012,2013,2014,2015,2020 * 2021-04-26 Fixed country labels 2001, 2006 (incorrect Kosovo coordinates) IMPORTANT NOTE: Additional information, including the conditions of use and acknowledgement notice is included in the document provided with the dataset "GISCO NUTS 2021 Additional Information.pdf". Public access to this data set is restricted due to intellectual property rights. It shall only be used internally by the EEA, its ETCs and subcontractors working on behalf of the EEA. This metadata has been slightly adapted from the original metadata information provided by Eurostat (European Commission) and is to be used only for internal EEA purposes. An introduction to the NUTS classification is available here: http://ec.europa.eu/eurostat/web/nuts/overview.
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 2nd 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 use the "PUBLIC VERSION": https://sdi.eea.europa.eu/catalogue/srv/eng/catalog.search#/metadata/a0731ebf-6bcc-4afe-bab0-39e7aa88eaba for external use. 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 2nd RBMPs due in 2016 (hereafter WFD2016). See http://rod.eionet.europa.eu/obligations/715 for further information on the WFD2016 reporting. See also https://rod.eionet.europa.eu/obligations/766 for information on the Environmental Quality Standards Directive - Preliminary programmes of measures and supplementary monitoring. Where available, spatial data related to the 3rd RBMPs due in 2022 (hereafter WFD2022) was used to update the WFD2016 data. See https://rod.eionet.europa.eu/obligations/780 for further information on the WFD2022 reporting.
The WOSN01 TTAAii Data Designators decode as: T1 (W): Warnings T1T2 (WO): Other A1A2 (SN): Sweden (Remarks from Volume-C: NilReason)
Aquatische Pilze (AF) sorgen für Gesundheit, Funktion und Widerstandsfähigkeit von aquatischen Ökosystemen; doch ist ihre biologische Vielfalt weitgehend unbekannt. AF sind von allen wichtigen Erhaltungsplänen und -strategien unbeachtet und die derzeitigen Schutzgebiete (PAs), z. B. Natura-2000-Netz und Ramsar-Konvention beinhalten keine strategischen Überlegungen zur AF-Vielfalt und -Funktionalität. Dank enormer Fortschritte in der Sequenzierung und des kombinierten transdisziplinären Fachwissens der FUNACTION-Partner werden wir zum ersten Mal Wissen zur taxonomischen, phylogenetischen und funktionellen Vielfalt von AF aufbauen, um AF-fokussierte Strategien für ihre Erhaltung zu entwickeln. FUNACTION wird i) eine paneuropäische Karte der Pilzbiodiversität erstellen, um Muster und Triebkräfte der AF-Vielfalt auf europäischer Ebene zu identifizieren, die für eine datengestützte Erhaltung benötigt werden (WP1; THEME1); ii) die AF-Vielfalt über die verschiedenen räumlich-zeitlichen Skalen in PA vs. Nicht-PA auf ihre Eignung testen und bewerten (taxonomisch, phylogenetisch und funktionell), z.B. die Wirksamkeit beim Schutz der AF-Vielfalt, -Funktionen und -Dienstleistungen (WP2; THEME1,2,3); iii) Aufbau von Wissen und Strategien zur Überwachung (z. B. im Rahmen der Wasserrahmenrichtlinie 2000/60/EG) und Erhaltung von AF (Planung neuer PA im Rahmen der EU Biodiversitätsstrategie für 2030) und der damit verbundenen Ökosystemfunktionen (WP3,4; THEMA1,3) sowie Leitlinien zu deren Ausweitung auf globaler Ebene und iv) Sicherstellung einer effektiven Einbindung, Kommunikation und Informationsweitergabe an die Öffentlichkeit, Interessengruppen (nationale, europäische und globale Manager und politische Entscheidungsträger) und die wissenschaftliche Gemeinschaft (WP5). Die Identifizierung paneuropäischer Muster der AF-Diversität (WP1) in 16 Ländern wird ergänzt durch Datensätze von ca. 500 Standorten aus 26 europäischen Ländern (estnische FunAqua-Projektpartnern). Um eine breite geografische Streuung innerhalb Europas und repräsentative bioklimatische und Umweltgradienten zu gewährleisten, werden Fallstudien in allen Partnerländern (Estland, Deutschland, Italien, Portugal, Schweden und der Schweiz) (WP2) durchgeführt. Unsere Metabarcoding- und Metagenomanalysen erlauben einzigartige Einblicke in die Pilz- und Eukaryontenvielfalt und -funktion, die zusammen mit Klima, Landnutzung und anderen wichtigen Umweltvariablen in harmonisierte Leitlinien und Beispiele für eine wirksame Bewirtschaftungs- und Erhaltungsplanung in Europa eingesetzt werden. Um diese Ziele zu erreichen, fördert FUNACTION (Konsortium transnationaler, interdisziplinärer Experten (incl. IUCN)) den Austausch von Wissen, die Mobilität und Ausbildung der nächsten Generation von Wissenschaftlern und Managern und somit die europäische Kompetenz in diesem Bereich. FUNACTION baut ein effektives, langfristiges Kooperationsnetz zur Bewertung und zum Erhalt der AF-Diversität in Europa auf.
This series refers to datasets related to the potential occurrence of a climate-induced physical event or trend that may cause loss of life, injury, or other health impacts, as well as damage and loss to property, infrastructure, livelihoods, service provision, ecosystems and environmental resources. It includes datasets on flooding, drought, urban heat island and heatwaves, extreme temperatures and precipitations, fire danger as well as climate suitability for vectors of infectious diseases. The datasets are part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/
Boron (B) is an essential microelement for plants. Despite the use of modern fertilization methods, B deficiency still causes losses in agricultural plant production. Even though many positive effects of B on plant growth and physiology have been reported, a large majority of B functions and the regulatory mechanisms controlling the B nutritional status remain unknown. The main objective of this project is to elucidate how the greatly B deficiency-sensitive Brassica crop plants process and regulate their B status during vegetative and reproductive growth. In this context, the project aims at identifying the mode of action of B in mechanisms regulating the B status itself and uncovering those mechanisms contributing to B efficiency in different genotypes. Plant species subjected to investigation will be the agronomically important oilseed and vegetable plant Brassica napus (rapeseed) and its close relative the genetic and molecular model plant Arabidopsis thaliana. Questions addressed within the scope of this project should lead to a detailed understanding of mechanisms controlling B uptake and allocation from the level of the whole plant down to the cellular level. B transport routes and rates will be determined in sink- and source tissues and in developmental periods with a particularly high B demand. A special focus will be on the identification of B transport bottlenecks and the analysis of B deficiency-sensitive transport processes to and within the highly B-demanding reproductive organs. Recent studies in Arabidopsis suggest that Nodulin26-like Intrinsic Proteins (NIPs), which belong to the aquaporin channel protein family, are essential for plant B uptake and distribution. The systematic focus on the molecular and physiological characterization of B. napus NIPs will clarify their role in B transport and will identify novel NIP-associated mechanisms playing key roles in the B response network.To further resolve the mostly unknown impact of the B nutritional status on gene regulation and metabolism, a transcript and metabolite profile of B-sufficient and B-deficient rapeseed plants will be generated. Additionally, an Arabidopsis transcription factor knockout collection (greater 300 lines) will be screened for abnormalities in responses to the B nutritional status. This will identify yet unknown B-responsive genes (transcription factors and their targets) and gene products (enzymes or metabolite variations) playing key roles in signalling pathways and mechanisms regulating the B homeostasis. Boron (in form of boric acid) and arsenite (As) share in all likelihood the same NIP-mediated transport pathways. To assess the consequences of this dual transport pathway the so far unstudied impact of the plants B nutritional status on the accumulation and distribution of As will be investigated in B. napus. Moreover, the current dimension of the As contamination of Brassica-based food products, to which consumers are exposed to, will be analyzed. usw.
Background and Objectives: The project area is located in the Ashanti Region of Ghana / West Africa in the transition zone of the moist semideciduous forest and tropical savannah zone. Main land use in this region is subsistence agriculture with large fallow areas. As an alternative land-use, forest plantations are under development by the Ghanaian wood processing company DuPaul Wood Treatment Ltd. Labourers from the surrounding villages are employed as permanent or casual plantation workers. Within three forest plantation projects of approximately 6,000 ha, DuPaul offers an area of 164 ha (referred to as Papasi Plantation) - which is mainly planted with Teak (Tectona grandis) - for research purposes. In return, the company expects consultations to improve the management for sustainable timber and pole production with exotic and native tree species. Results: In a first research approach, the Papasi Plantation was assessed in terms of vegetation classification, timber resources (in qualitative and quantitative terms) and soil and site conditions. A permanent sampling plot system was established to enable long-term monitoring of stand dynamics including observation of stand response to silvicultural treatments. Site conditions are ideally suited for Teak and some stands show exceptionally good growth performances. However, poor weed management and a lack of fire control and silvicultural management led to high mortality and poor growth performance of some stands, resulting in relative low overall growth averages. In a second step, a social baseline study was carried out in the surrounding villages and identified landowner conflicts between some villagers and DuPaul, which could be one reason for the fire damages. However, the study also revealed a general interest for collaboration in agroforestry on DuPaul land on both sides. Thirdly, a silvicultural management concept was elaborated and an improved integration of the rural population into DuPaul's forest plantation projects is already initiated. If landowner conflicts can be solved, the development of forest plantations can contribute significantly to the economic income of rural households while environmental benefits provide long-term opportunities for sustainable development of the region. Funding: GTZ supported PPP-Measure, Foundation
Die Internationale Karte der Eisenerz-Vorkommen in Europa 1 : 2 500 000 wurde 1977 fertig gestellt und von der BGR herausgegeben. Über 70 Geologen aus Europa, Nordafrika und dem Mittlerem Osten arbeiteten gemeinsam mit dem Redaktionsteam an der Kompilation der Karte und den Erläuterungen. Die Karte, die 42 Länder in 16 Kartenblättern abdeckt, zeigt mehr als 800 Eisenerz-Vorkommen. Alle bedeutenden Vorkommen (im Abbau oder stillgelegt) sind enthalten. Auch Vorkommen, die nur von genetischem oder historischem Interesse sind, wurden mit abgebildet. Detaillierte Informationen zur Internationalen Karte der Eisenerz-Vorkommen in Europa 1 : 2 500 000 - zu Struktur, Aufbau und Hintergrunddaten - sind in den Erläuterungen zur Karte zu finden.
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