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Satellite Color Images, Vegetation Indices, and Metabolism Indices from Jüterbog, Germany from 1984 – 2023

The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document. The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications. In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description). Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.

Diversity and metabolism of the JTB255 clade in deep-sea sediments

The present study aimed at a first characterization of the enigmatic JTB255 marine benthic group in deep-sea sediments, by: i) confirming the abundance and ubiquitous distribution of JTB255 in deep-sea sediments globally, ii) refining the phylogenetic positioning of the JTB255 clade within the \u03b3-Proteobacteria, iii) distinguishing potential ecotypes within the JTB255 clade, iv) providing first insights into the metabolic potential of deep-sea representatives of this clade. Therefore, two single cell genomes from Arctic HAUSGARTEN deep-se surface sediments were obtained and CARD-FISH counts of total cells, y-Proteobacteria and the JTB255 marine benthic group performed.

Satellite Color Images, Vegetation Indices, and Metabolism Indices from Würzburg, Germany from 1984 – 2023

The "Germany Mosaic" is a time series of Landsat satellite images and vectorized segments covering the entirety of Germany from 1984 to 2023. The image data are divided into TK100 sheet sections (see further details: Blattschnitt der Topographischen Karte 1:100 000). The dataset provides optimized 6-band imagery for each year, representing summer (May to July) and autumn (August to October) seasons, along with vegetation indices such as NDVI (Normalized Difference Vegetation Index) and NirV (Near-Infrared Reflectance of Vegetation) for the same periods. Additionally, vectorized "zones" of approximately homogeneous pixels are available for each year. The spectral properties of the image data and the morphological characteristics of these zones are included as vector attributes (see Documentation: "Mosaic (1984–2023) - Data Description"). An overview of the coverage and quality of all sheet sections is provided as a vector layer titled D-Mosaik_Sheet-Sections within this document. The Germany Mosaic can also be considered a spatial-temporal Data Cube, enabling advanced analysis and integration into workflows requiring multi-dimensional data. This structure allows users to perform operations such as querying data across specific time periods, analyzing trends over decades, or aggregating spatial information to generate tailored insights for a wide range of research applications. In mid-latitudes, seasonal variations in vegetation—and consequently in the image data—are typically more pronounced than changes occurring over several years. The temporal segmentation of the dataset has been designed to encompass the entire vegetation period (May to October), with the division into summer and autumn periods capturing seasonal metabolic shifts in natural biotopes. This segmentation also records most agricultural changes, including sowing and harvesting activities. Depending on weather conditions, the individual image data represent either the median, mean value, or the best available image for the specified time period (see Documentation: "Mosaic (1984–2023) - Data Description). Remote sensing has become an indispensable tool for environmental research, particularly in landscape analysis. Beyond conventional applications, the Germany Mosaic supports the development of digital twins in environmental system research. By providing detailed spatial and temporal data, this dataset enables the modeling of virtual ecosystems, facilitating simulations, scenario testing, and predictive analyses for sustainable management. Moreover, the spatial and temporal trends captured by remotely sensed parameters complement traditional approaches in biological, ecological, geographical, and epidemiological research.

Die Wirkung verschiedener Formen der organischen Duengung im Vergleich zur Mineralduengung

6 Varianten organische Duengung, 1 Variante ohne organische Duengung in Kombination mit 4 Varianten Mineralduengung = 28 Varianten. Organische Varianten: I = 250 dt/ha Tiefstallmist, II = 300 dt/ha Stapelmist, III = 300 dt/Ha Frischmist, IV = 60 dt/ha Gerstenstroh, V = 250 dt/ha Kompostmist, VI = 17-stuendiger Schafpferch, VII = ohne organische Duengung. Die organische Duengung erfolgt jedes dritte Jahr zur Hackfrucht. In der Fruchtfolge Zuckerrueben - Weizen - Hafer werden folgende Parameter erfasst: Ertraege, Naehrstoffumsatz, Naehrstoffbilanz, Naehrstoffuntersuchungen im Boden, bodenbiologische Untersuchungen, Klimafaktoren.

Transport und Speicherung von Spurenelementen im menschlichen Organismus

Monitormaterialien fuer die Bestimmung von Spurenelementveraenderungen in Mensch und Umwelt; Untersuchung der Funktion des menschlichen Skelettsystems als Spurenelementsdepot; Bestimmung der organischen Traegermolekuele von Spurenelementen; Untersuchung des Zusammenhangs zwischen Spurenelementverschiebungen und Stoffwechselvorgaengen (z.B. Diabetes); Untersuchung des Einflusses von Sexualhormonen auf den Spurenelementmetabolismus.

Barley compatibility factors pivotal for root colonisation and manipulation of basal defence by Piriformospora indica

This project is aimed at the characterization of the systemic reprogramming in barley, which modulates the compatible interaction with the biotrophic leaf pathogen Blumeria graminis f.sp. hordei upon root infestation with the mutualistic endophyte Piriformospora indica. We have recently shown that the basidiomycete P. indica - upon successful establishment in the roots - reprograms barley to salt stress tolerance, resistance to root diseases and higher yield (Waller et al., 2005). Successful powdery mildew infections in barley leaves are also disturbed by the mutualistic fungus. These processes are associated with a strong change in plant metabolism, especially with a drastic alteration of leaf and root antioxidants. On the basis of these findings we will perform an in-depth analysis of the barley metabolome (B6) and transcriptome (B7) with two specific foci: First, to elucidate the process of establishment of the mutualistic fungus within the barley roots; second, to characterize elements of the systemic response in leaves leading to an interruption or failure of compatibility processes required for successful establishment of biotrophic leaf pathogens like Blumeria. New gene candidates will be pre-selected systematically for their regulatory role in compatibility by means of transiently transformed barley leaves upon Blumeria inoculation. Stable transgenic barley and maize lines (B3) generated with verified gene candidates and genes identified by other projects (A1, A2, B5, B6) will be tested with Blumeria and P. indica. By comparing candidate genes in the different plant - microbe systems, we will identify common regulatory processes, metabolites and metabolic networks implicated in compatibility including those required for successful interactions with mutualistic fungi.

Seawater carbonate chemistry and growth and carbon metabolism of the seaweed Fucus vesiculosus in the western Baltic Sea

Warming and acidification of the oceans as a consequence of increasing CO2-concentrations occur at large scales. Numerous studies have shown the impact of single stressors on individual species. However, studies on the combined effect of multiple stressors on a multi-species assemblage, which is ecologically much more realistic and relevant, are still scarce. Therefore, we orthogonally crossed the two factors warming and acidification in mesocosm experiments and studied their single and combined impact on the brown alga Fucus vesiculosus associated with its natural community (epiphytes and mesograzers) in the Baltic Sea in all seasons (from April 2013 to April 2014). We superimposed our treatment factors onto the natural fluctuations of all environmental variables present in the Benthocosms in so-called delta-treatments. Thereby we compared the physiological responses of F. vesiculosus (growth and metabolites) to the single and combined effects of natural Kiel Fjord temperatures and pCO2 conditions with a 5 °C temperature increase and/or pCO2 increase treatment (1100 ppm in the headspace above the mesocosms). Responses were also related to the factor photoperiod which changes over the course of the year. Our results demonstrate complex seasonal pattern. Elevated pCO2 positively affected growth of F. vesiculosus alone and/or interactively with warming. The response direction (additive, synergistic or antagonistic), however, depended on season and daylength. The effects were most obvious when plants were actively growing during spring and early summer. Our study revealed for the first time that it is crucial to always consider the impact of variable environmental conditions throughout all seasons. In summary, our study indicates that in future F. vesiculosus will be more affected by detrimental summer heat-waves than by ocean acidification although the latter consequently enhances growth throughout the year. The mainly negative influence of rising temperatures on the physiology of this keystone macroalga may alter and/or hamper its ecological functions in the shallow coastal ecosystem of the Baltic Sea.

Diversität, metabolische Aktivität und Anpassung von Bakterien in marinen Oberflächenfilmen

Neue Befunde zeigen, dass die Umsetzung von organischem Material durch Bakterioneuston in marinen Oberflächenfilmen (engl. sea-surface microlayer, SML) eine Rolle spielen, bei der Kontrolle des Flusses von klimarelevanten Spurengasen, sowie bei der Speicherung von anthropogenen Ablagerungen aus der Atmosphäre. Unsere früheren Untersuchungen weisen auf die Bedeutung der bakteriellen Aktivität bzgl. des Kohlenstoffzyklus in der SML hin, heben aber auch die vielen unbekannten Einflüsse des Bakterioneuston in der SML hervor. Besonders photochemische Umwandlung von organischem Material, in Verbindung mit schädlichen Effekten durch Sonnenstrahlung auf die Bakterien in der SML, wurden bisher nicht detailliert untersucht. Demzufolge besteht unsere Motivation für das vorgeschlagene Projekt darin, das Wissen über Stoffwechselprozesse und Anpassungen von Bakterien in der SML in ihrer Gesamtheit, aber auch auf Einzelzell- und Stammebene, in Bezug auf physikalische und chemische Variabilität in dieser Grenzschicht zu untersuchen. Des Weiteren ist das Zooplankton eine wichtige Komponente für die Verbindung zwischen Phytoplankton, Bakterien und den höheren Ebenen des Nahrungsnetzes in der SML, wobei auch hier für das Verständnis relevante Daten fehlen. Daher werden wir im Rahmen des Projektes zum ersten Mal Studien zur Verbreitung des Zooplanktons sowie zu dessen Fressverhalten in der SML der Nordsee durchführen.

Einfluss chronischer Einwirkungen von Pb auf das zentrale Nervensystem

Chronische Bleiaufnahme in subtoxischen Dosen soll bei Kindern zu Verhaltensstoerungen mit Hyperaktivitaet und Agressivitaet fuehren. Ein aehnlich abweichendes Verhalten zeigen jugendliche, bleiexponierte Ratten. An diesen Tieren fuehren wir Untersuchungen zum Stoffwechsel von Neurotransmittern und Modulatoren im Gehirn durch, um Hinweise auf den Mechanismus der Bleiwirkung und eine moegliche Therapie des abweichenden Verhaltens zu gewinnen.

Beitrag von Totholz zum Nährstoffhaushalt von Buchenwaldökosystemen

Die bundesweite Bodenzustandserhebung ergab, dass die Mehrzahl der Waldstandorte eine geringe bis sehr geringe Basensättigung aufweisen. Die Nährstoffnachlieferung für den aufwachsenden Baumbestand erfolgt auf diesen Standorten fast ausschließlich durch Nährstoffrückführung aus der Biomasse (Streu, starkes Totholz). Ziel des Forschungsvorhabens ist es, den Beitrag des Totholzes zur Nährstoffnachlieferung zu erfassen und die bei der Totholzzersetzung ablaufenden Stoffumsatzprozesse (Respiration, Auswaschung, Fragmentierung, Stickstoff-Fixierung, Stickstoff-Mineralisation) zu analysieren. Die Untersuchungen konzentrieren sich auf eine Baumart, die Buche, als dominierende Baumart der Waldgesellschaften Mitteleuropas, und eine Versuchsfläche, auf der seit 10 Jahren Stoffflüsse (Eintrag, Austrag) und -umsätze (Streuzersetzung, Mineralisation, Pflanzenaufnahme) nach Bestandesauflichtung und Kalkung gemessen werden. Die Versuchsfläche zeichnet sich durch einen hohen Totholzvorrat aus, dessen Anfall datiert werden kann. Das Forschungsvorhaben dient zur Abschätzung des Totholzvorrates, der für einen nachhaltig ausgewogenen Nährstoffhaushalt eines Buchenwaldökosystems auf basenarmen Standort notwendig ist.

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