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GTS Bulletin: ISND84 AMDN - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISND84 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISN): Synoptic observations from fixed land stations at non-standard time (i.e. 01, 02, 04, 05, ... UTC) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NATIONAL AUTOMATIC SYNOP)

GTS Bulletin: ISND37 AMDS - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISND37 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISN): Synoptic observations from fixed land stations at non-standard time (i.e. 01, 02, 04, 05, ... UTC) A2 (D): 90°E - 0° northern hemisphere (Remarks from Volume-C: NATIONAL AUTOMATIC SYNOP)

GTS Bulletin: ISID08 EDZW - Observational data (Binary coded) - BUFR (details are described in the abstract)

The ISID08 TTAAii Data Designators decode as: T1 (I): Observational data (Binary coded) - BUFR T1T2 (IS): Surface/sea level T1T2A1 (ISI): Intermediate synoptic observations from fixed land stations A2 (D): 90°E - 0° northern hemisphere(The bulletin collects reports from stations: 10564;Schleiz;10565;Osterfeld;10569;Plauen;10574;Carlsfeld;10577;Chemnitz;10579;Marienberg;10582;Zinnwald-Georgenfeld;10591;Lichtenhain-Mittelndorf;10615;Deuselbach;10628;Geisenheim;10635;Kleiner Feldberg/Taunus;10646;Neuhütten/Spessart;10648;Michelstadt-Vielbrunn;10658;Kissingen, Bad;10671;Lautertal-Oberlauter;10686;Wunsiedel-Schönbrunn;10704;Berus;10706;Tholey;10724;Weinbiet;10733;Waibstadt;10736;Mühlacker;10739;Stuttgart (Schnarrenberg);10747;Kaisersbach-Cronhütte;) (Remarks from Volume-C: SYNOP)

Spatial heterogeneity and substrate availability as limiting factors for subsoil C-turnover

In subsoils, organic matter (SOM) concentrations and microbial densities are much lower than in topsoils and most likely highly heterogeneously distributed. We therefore hypothesize, that the spatial separation between consumers (microorganisms) and their substrates (SOM) is an important limiting factor for carbon turnover in subsoils. Further, we expect microbial activity to occur mainly in few hot spots, such as the rhizosphere or flow paths where fresh substrate inputs are rapidly mineralized. In a first step, the spatial distribution of enzyme and microbial activities in top- and subsoils will be determined in order to identify hot spots and relate this to apparent 14C age, SOM composition, microbial community composition and soil properties, as determined by the other projects within the research unit. In a further step it will be determined, if microbial activity and SOM turnover is limited by substrate availability in spatially distinct soil microsites. By relating this data to root distribution and preferential flow paths we will contribute to the understanding of stabilizing and destabilizing processes of subsoil organic matter. As it is unclear, at which spatial scale these differentiating processes are effective, the analysis of spatial variability will cover the dm to the mm scale. As spatial segregation between consumers and substrates will depend on the pore and aggregate architecture of the soil, the role of the physical integrity of these structures on SOM turnover will also be investigated in laboratory experiments.

Verweilzeiten Grundwasser Hamburg

Der Layer stellt die klassifizierten Verweilzeiten in Jahren des Grund- und Sickerwassers in der Grundwasserüberdeckung für Hamburg dar. Weiterführende Erläuterungen zum Datensatz siehe Link zur Dokumentation unter "Verweise".

INSPIRE HH Bodenbedeckung ALKIS

Dieser Datensatz stellt die Bodenbedeckung der Freien und Hansestadt Hamburg aus dem Amtlichen Liegenschaftskatasterinformationssystem (ALKIS) im INSPIRE Zielmodell dar.

WMS Verweilzeiten Grundwasser Hamburg

Web Map Service (WMS) zum Thema Verweilzeiten Grundwasser Hamburg. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.

WFS INSPIRE HH Bodenbedeckungsvektor ALKIS

Dieser WFS (Web Feature Service) stellt Inhalte zum Thema Bodenbedeckung ALKIS im INSPIRE-Zielmodell dar. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.

WMS INSPIRE HH Bodenbedeckungsvektor ALKIS

Dieser WMS (Web Map Service) stellt Inhalte zum Thema Bodenbedeckung ALKIS im INSPIRE-Zielmodell dar. Zur genaueren Beschreibung der Daten und Datenverantwortung nutzen Sie bitte den Verweis zur Datensatzbeschreibung.

INSPIRE-WMS SL Höhenlage-Gitter-Coverage DGM1 - Höhenlagengitter-Coverage

Dieser Dienst stellt für das INSPIRE-Thema Höhe (Höhenlage-Gitter-Coverage) aus dem DGM1 umgesetzte Daten bereit.:Dieser Layer visualisiert die saarländischen Höhenfotos. Die Datengrundlage erfüllt die INSPIRE Datenspezifikation.

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