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INSPIRE HH Schutzgebiete

Der INSPIRE Datensatz Schutzgebiete (PS) Hamburg setzt sich aus den Inhalten folgender Datensätze zusammen: Schutzgebietskataster Hamburg Natur- und Landschaftsschutzgebiete, Naturdenkmale; Verordnungen; EG-Vogelschutz- und FFH-Gebiete (Natura 2000), NPHW, Biosphärenreservat, Ramsar- Gebiete. Denkmalkartierung Hamburg In der Denkmalkartierung sind folgende Kategorien (Ebenen, Layer) enthalten: - Denkmalobjekte (symbolhaft): z.B. Statuen, Brunnen, Denkmalanlagen ohne klare Ausdehnung - Grenzsteine: historische Grenzsteine und Grenzmarkierungen - Baudenkmale: z.B. Gebäude, Brücken, bauliche Anlagen - Gewässer: z.B. Hafenbecken, Kanäle, Schleusen, Teiche in Parks und Gärten - Gartendenkmale: z.B. öffentliche Park- und Gartenanlagen, historische Friedhöfe - Ensembles: mindestens aus zwei Objekten bestehend Bodendenkmäler Hamburg Kartierung bekannter archäologischer Schutzgebiete - Denkmäler/Bodendenkmäler - der Freien und Hansestadt Hamburg nach dem Hamburgischen Denkmalschutzgesetz vom 5. April 2013. Auskünfte zu den fachlichen Inhalten können nur die Ansprechparten der Originaldaten geben (siehe Verweise).

Gutachterliche Stellungnahme zur Emissions- und Immissionssituation in der Umgebung der geplanten Deponie Greiling

Die vorliegende Stellungnahme befasst sich mit der planfestgestellten Hausmuelldeponie bei Greiling in Oberbayern (Bad Toelz). Wegen der Naehe zur umliegenden Wohnbebauung (ca. 250m) wurden die Geruchsemissionen und -immissionen in der Umgebung der geplanten Deponie untersucht. Eine Abschaetzung und Beurteilung der in einem bereits existierenden Gutachten vorgenommenen Annahmen und Berechnungen fuehrte teilweise zu unterschiedlichen Ergebnissen. Dies betrifft insbesondere die Bedeutung von kleineren Stoerungen an der abgeschlossenen Deponie, die Emissionen aus dem Deponiebetrieb sowie die zugrundegelegten Ausbreitungsverhaeltnisse von Schadstoffen und deren Abbildung mit Ausbreitungsmodellen. Insgesamt laesst sich eine positive Eignung des planfestgestellten und in erster Gerichtsinstanz bestaetigten Standortes aus den vorliegenden und vom Deutschen Wetterdienst zu erhaltenden Ergebnissen nicht ableiten.

High Elevation Treeline Research

If one considers the high elevation treeline as a global phenomenon, many local drivers, which dominated the debate in the past, become less significant, they become modulators of a more fundamental, common cause. Our working hypothesis is that the major driver of treeline formation is the ability to form new structures, rather than the provision of raw materials for these structures. In other words, we suggest that the treeline is a sink (growth) rather then a source (photosynthesis) driven phenomenon, with temperature representing the single most important determinant. We do not question the influence of other factors, but we consider them to represent a suite of regional peculiarities, which may affect the actual position by not more then 100 m in elevation. A detailed discussion of the treeline issue can be found in: Our activities go in several directions. They include treering studies across the treeline ecotone (see ref. below), microclimate measurements at various latitudes and an assessment of the carbohydrate supply status at the tree limit. The worldwide treeline temperature assessment nears its end by 2001, when year-round data from ca. 30 different treeline sites around the globe will be available. As a standard procedure we measure root-zone temperature at 10 cm depth in the shade of tree crowns at the treeline using Tidbit (Onset Corp.) data loggers. Currently available data from 90 % of the stations average at seasonal mean ground temperatures of ca 6.5 C, with very little site to site variation, irrespective of latitude (minimum of 5.5 C on Mexican volcanos at 4000 m and maximum at some maritime temperate zone treelines of ca 7.5 C). The seasonal mean proved to be a better predictor of treeline position than warmest month temperatures or a suite of thermal sums tested. There are regions with no suitable treeline taxa where natural treelines occure at lower elevations (higher temperatures; e.g. Hawaii). In a work on carbohydrate pools we compare treelines in Mexico, the central Alps and in N-Sweden (Abisko). We see no decline of reserves as one approaches the existential limit of trees, in fact, carbohydrate and lipid stores reach a maximum at tree limit. Thus, it seems unlikely that carbon limitation is a cause of treeline formation.

Nationally designated areas

The European inventory of Nationally designated areas holds information about designated areas and their designation types, which directly or indirectly create protected areas. The Nationally designated areas is the official source of protected area information from the 38 European member countries to the World Database of Protected Areas (WDPA). The Nationally designated areas data can be queried online in the European Nature Information System (EUNIS). Two versions of the public dataset are provided. The full dataset includes the entire geographical coverage including nationally designated areas in overseas entities. The European dataset excludes the overseas entities. The datasets are accompanied by tabular data which 1) includes information on the nationally designated sites and designated boundaries for public dissemination; and 2) contains information about designation types and the national and international legislative instruments, which directly or indirectly create protected designated areas in Europe.

MIN4EU LGRB-BW: mining sites - harmonized dataset

Since the end of the 1980ies the geological, areal and production data of operating mining sites have been collected systematically by LGRB. The periodic update of this information is carried out every four or five years. Main reasons are 1) the preparation of the periodic follow-up of the 12 regional development plans, 2) the work on the near-surface mineral raw material maps published by LGRB, and 3) the periodical editing of the state report for near-surface mineral raw materials published by LGRB at the start of each new election period. The geological data include a detailed documentation of the thickness, petrography and quality of mined rock(s) and the overburden as well as geochemical data gained from rock samples. The areal data refer both to the permitted mining area (zones of recultivation, work and expansion) and to possible areas for the mine expansion (the latter are confidential). Due to the quick spatiotemporal variability of these data, here all mining sites are shown as point data. The confidential annual production data are the basis for the periodic raw material report. In addition, another data are collected, e.g. for the mining permission, the delivery area and the subsequent land use. All these data are stored in the mining site database of the LGRB (Rohstoffgewinnungs-stellendatenbank = RGDB). This one comprises also the data for abandoned mining sites and mines. In total, actual (2021) about 14.000 data records are stored. The name of each mining site (e.g. RG 6826-3) consists of three parts. RG is the abbreviation for "Rohstoffgewinnungsstelle". the following four-digit number means the number of the relevant topographic map 1 : 25.000. The last number means the serial number of the mining site; serial numbers 1-99 mark operating mining sites gathered since the end of the 1980ies ( (today partially already closed) , such > 100 mark abandoned mining sites collected before 1980 and such > 300 mark data of mining sites and mines collected in the course of actual raw material mapping. The mintell4eu data set comprises all mining sites with serial numbers 1-99. In addition, the most important abandoned mines of former or probably still ongoing economic importance.

Glacial landforms in the region formerly occupied by the Haslach glacier, southern Black Forest, south-west Germany

This dataset contains ESRI shapefiles of mapped glacial landforms, i.e., initial cirques, cirques, moraines, and moraine crests in the region formerly occupied by the former Haslach glacier in the southern Black Forest (48° N, 8° E WGS 1984), south-west Germany. The last glaciation maximum ice extent of the former Haslach glacier, inferred from ice-marginal moraines, is also provided. Geomorphological mapping was undertaken for the selection of suitable sites for beryllium-10 surface exposure dating of moraine-boulder surfaces for the establishment of a regional glacier chronology. The mapping of glacial landforms in the region formerly occupied by the former Haslach glacier in the southern Black Forest involved the interpretation of derivatives of the high-resolution DGM1 digital elevation model (xy-resolution: 1 m) of the State Agency for Geoinformation and Land Development (LGL) of the state of Baden-Württemberg, freely available at: https://opengeodata.lgl-bw.de/#/(sidenav:product/3) (last access: 6 February 2025), coupled with extensive field campaigns in 2020-2022 CE. To achieve the greatest possible accuracy during the mapping of glacial landforms, exposures were inspected, if available. The shapefiles can be opened with open-source geographic information system software. The coordinate reference system of the shapefiles is EPSG 25832: ETRS89 / UTM Zone 32N (https://epsg.io/25832, last access: 6 February 2025).

Ready-to-use version of the Eurasian Modern Pollen Database version 2, with 90 pollen taxa and 7634 sites

Ready-to-use version of the Eurasian Modern Pollen Database version 2 (EMPD2; Davis et al., 2020; Chevalier et al., 2019) that includes 90 taxa and 7634 modern pollen samples with pollen sums (excluding Pinus) higher or equal to 100 pollen grains (Tables 1 to 6). Table 7 contains 394 additional sites with pollen sums less than 100 pollen grains when excluding Pinus but higher or equal to 100 pollen grains when Pinus is included. Users can merge Tables 1 and 7 (8028 modern pollen samples) if they consider pollen sums (including Pinus) equal or higher than 100 pollen grains sufficient for accurate reconstructions. This ready-to-use version of the EMPD2 was initially built to do paleoclimatic reconstructions for Southern Europe. For users willing to do paleoclimate reconstructions in regions that may need to re-include some of the taxa that were removed, the intermediate version containing all the counts for the 840 initial taxa and the first grouping to 192 taxa is also available as Table 8.

Mixed layer depth values for the n = 1968 modern dinocyst database extracted from the World Ocean Atlas 2018, Argo floats data 2005-2017

Monthly, seasonal and annual mixed layer depth (MLD) values at the 1968 sites of the modern dinocyst database by de Vernal et al. (2020). The MLD values were extracted from the World Ocean Atlas 2018 (WOA18) objectively analyzed mean field of Argo floats data of 2005-2017 using a density threshold of 0.125 kg/m3 with reference to 10 m depth. In order to get an MLD value that corresponds to each site, the MLD climatology products were interpolated to the previously published 1968 sites.

Mixed layer depth values for the n = 1968 modern dinocyst database extracted from the World Ocean Atlas 2018, climate normal 1981-2010

Monthly, seasonal and annual mixed layer depth (MLD) values at the 1968 sites of the modern dinocyst database by de Vernal et al. (2020). The MLD values were extracted from the World Ocean Atlas 2018 (WOA18) objectively analyzed mean field of the climate normal of 1981-2010 using a density threshold of 0.125 kg/m3 with reference to 10 m depth. In order to get an MLD value that corresponds to each site, the MLD climatology products were interpolated to the previously published 1968 sites.

Mixed layer depth values for the n = 1968 modern dinocyst database extracted from the monthly climatology by de Boyer Montégut (2023)

Monthly, seasonal and annual mixed layer depth (MLD) values at the 1968 sites of the modern dinocyst database by de Vernal et al. (2020). The MLD values were extracted from the monthly climatology based on profile data of 1970-2021 by de Boyer Montégut (2023) using a density threshold of 0.03 kg/m3 with reference to 10 m depth. In order to get an MLD value that corresponds to each site, the MLD climatology products were interpolated to the previously published 1968 sites.

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