Investigation of Manganese nodules in the southern Baltic Sea

Die Genese von Mangan-Eisen-Akkumulaten der Kieler Bucht wurde durch In-situ-Experimente vor allem in Tauchgängen unter Berücksichtigung der hydrographischen und sedimentologischen Gegebenheiten sowie natürlicher Akkumulatvorkommen und Krusten auf künstlichen Substraten untersucht. An den diagenetisch gebildeten Akkumulaten wurden chemische Zusammensetzung, Mineralogie, physikalische Parameter, Morphologie und Internstrukturen untersucht. Wichtige Faktoren für die Entstehung der Mangan-Eisen-Akkumulate sind geringe Sedimentationsraten am Entstehungsort, das Vorhandensein geeigneter Anlagerungskerne sowie ausreichende Zufuhr von gelöstem Mangan und anderen Metallen durch Diffusion aus dem Sediment und durch lateralen Transport im freien Wasser vor allem im Sommer und Frühherbst infolge absinkender Sauerstoffgehalte im Bodenwasser der Rinnen. Die Experimente ergaben eine saisonale Abscheidungscharakteristik der Mangan-Eisen-Oxide in Abhängigkeit von der hydrographischen Jahresentwicklung mit niedrigen Zuwachsraten im Winter und Frühjahr und hohen Werten im Sommer und Herbst. Die 1981 experimentell ermittelte Wachstumsrate liegt im Bereich der südlichen Kieler Bucht (Boknis Eck) bei ca. 20 mm/1000 a. Für das Vorkommen vor Schleimünde wurden in Anlehnung an SUESS & DJAFARI (1977) 30-50 mm/1000 a berechnet. Unter reduzierenden Bedingungen infolge Sedimentüberdeckung können Mangan-Eisen-Akkumulate partiell oder vollständig wieder aufgelöst werden. Für den Verbleib der Akkumulate an der Sedimentoberfläche wird die Bedeutung der Seenelke Metridium senile nachgewiesen.

Sediment properties, contents and accumulation rates of Hg in cores of Upper Quaternary sediments from the Deryugin Basin, Okhotsk Sea

The Hg distribution and some mineralogical-geochemical features of bottom sediments up to a depth of 10 m in the Deryugin Basin showed that the high and anomalous Hg contents in the Holocene deposits are confined to a spreading riftogenic structure and separate fluid vents within it. The accumulations of Hg in the the sediments were caused by its fluxes from gas and low-temperature hydrothermal vents under favorable oceanological conditions in the Holocene. The two mainly responsible for the high and anomalous Hg contents are infiltration (fluxes of hydrothermal or gas fluids from the sedimentary cover) and plume (Hg precipitation from water plumes with certain hydrochemical conditions forming above endogenous sources). The infiltration anomalies of Hg were revealed in the following environments: (1) near gas vents on the northeastern Sakhalin slope, where high Hg contents are associated only with Se and were caused by the accumulation of gases ascending from beneath the gas hydrate layer; (2) in the area of inferred occasionally operating low-temperature hydrothermal seeps in the central part of the Deryugin Basin, in which massive barite chimneys, hydrothermal Fe-Mn crusts, and anomalous contents of Mn, Ba, Zn, and Ni in sediments develop.

Postglacial deposition of sand in the Eckernfoerder Bay, western Baltic Sea

At the NW-slope of Eckernforder Bay (Western Baltic) between 14 and 21 m water depth 7 sand cores were taken with a vibrocorer. The cores were between 85 and 250 cm long. The sand was analysed for grain size distribution, proportions of organic carbon and carbonate, and contents of microfossils. The radiometric age and stable carbon isotope ratios were determined on organic material from 14 sample. With regard to benthic foraminifera and other microorganisms four different types of depositional conditions could be distinguished: Types 1 and 2: two types of offshore sand areas. Type 3: lagoon and nearshore. Type 4: subaerial or limnic. Using sedimentological and geochemical parameters two formation areas could be distinguished with the aid of a discriminant analysis: offshore (types 1 and 2) and nearshore (types 3 and 4). A juxtaposition of core sections indicated two distinct profiles. Their ages fit into the picture of the assumed postglacial sea-level rise. The lagoon- and nearshore sands are interpreted as the result of sea-level stagnation at 17-18 m below present sea-level. The accumulation rates of the sand in the offshore areas are, with a maximum of 0.15 mm/yr., an order of magnitude smaller than in the mud areas, located several hundred metres away.

Grain size distribution and percentiles of the sand component from sediments obtained in the southern Great Belt, Baltic Sea

Im Sedimentationsraum der südwestlichen Ostsee verdient der nordöstliche Teil der Kieler Bucht besonderes Interesse. Dort öffnet sich die wichtigste Verbindung zwischen Ostsee und Nordsee. Von den Austauschvorgängen, durch welche diese Meeresräume aufeinander Einfluß nehmen, ist gerade jenes Gebiet entscheidend betroffen. Die Beobachtung der Dynamik des Austausches, die Beobachtung der Transportlast, welche von den Wassermassen bewegt wird, und schließlich auch die Beobachtung der Beziehungen, welche sich zwischen dem Zusammentreffen von Wassermassen unterschiedlicher physikalischer Eigenschaften und der Sedimentbildung ergeben, läßt deshalb vor allem dort wesentliche Hinweise zum Verständnis der Sedimentationsvorgänge in der südlichen Ostsee erhoffen. In der vorliegenden Arbeit wurden an 49 Durchschnittsproben die Korngrößenverteilungen und Schwermineralgehalte von Sedimenten aus dem Südausgang des Großen Beltes untersucht. 1. Es wurden sechs in sich morphologisch etwa gleichwertige Gebiete ausgegliedert, die jeweils durch Sedimente mit ähnlichen Korngrößenverteilungen ausgezeichnet sind. Nach Lage, Typ und genetischer Ausdeutbarkeit fügen sich diese Gebiete dem von O. PRATJE (1939, 1948) gegebenen Modell der Sedimentationszonen gut ein. 2. Innerhalb dieser Gebiete ergibt sich für Sande in mehr als 20 m Wassertiefe südwärts gerichteter Transport. Oberhalb dieser Tiefe läßt sich stellenweise nordwärts gerichteter Transport nachweisen. 3. Der Schwermineralgehalt der Sedimente bleibt immer unter zwei Prozent. Die höchsten Anteile (1,7 bzw. 1,9%) werden in den Sedimenten der Tiefen Rinne und der ufernahen Bereiche des Großen Beltes angetroffen. 4. Die Korngrößenverteilungen der Sedimente werden nach der Lage der Modi in bis zu drei (Kies-, Sand-, Silt-) Komponenten zerlegt. Die Beteiligung der Silt-Komponente wird entscheidend von der Salzgehaltssprungschicht beeinflußt. 5. Es bestehen offensichtlich Zusammenhänge zwischen der Schlicksedimentation und der Salzgehaltsschichtung auch in der weiteren südlichen Ostsee.

Temperature tolerance of western Baltic Sea Fucus vesiculosus - growth, photosynthesis and survival

Fucus vesiculosus L. (Phaeophyceae) is the most abundant and hence ecologically most important primary producer, carbon sink and habitat provider in the western Baltic Sea. All F. vesiculosus L. specimens were collected on 23 April 2014 from a depth of 0.2-1 m in the non-tidal Kiel Fjord, western Baltic Sea (54°27'N; 10°12'E), where this species forms dense and almost monospecific stands on stones. After sampling the algal thalli were stored in a refrigerator box with water from the sampling site, transported to Bremerhaven and stored at 10 °C for one day in filtered seawater. Experiments were conducted with vegetative apical tips (6.7±0.5 cm length), the actively growing region of F. vesiculosus, which were randomly selected and cut from 144 different individuals prior to the experiments. These tips were acclimated to laboratory conditions for three days in filtered seawater at 10 °C before the start of the experiment. Furthermore, 30 additional vegetative apices were freeze-dried to document the initial biochemical status of F. vesiculosus in its native habitat. A temperature gradient was installed in a walk-in constant cooling chamber (15 °C) in nine water baths (5, 10, 15, 20, 24, 26, 27, 28 and 29 °C ± 0.1 °C) which were tempered by thermostats (5, 10 and 15 °C: Huber Variostat CC + Pilot ONE, Peter Huber Kältemaschinen GmbH, Offenburg, Germany; 20 and 28 °C: Haake DC3, Thermo Fisher Scientific Inc., Waltham, USA; 24, 26, 27 and 29 °C: Haake DC10). Every temperature treatment consisted of four 2 L glass beakers (n = 4). In each beaker four F. vesiculosus apices were grown in 2 µm-filtered North Sea water diluted with demineralized water in a ratio of 1:1 and enriched with nutrients after Provasoli (1968; 1/10 enrichment), leading to a salinity of about 15.6 which equaled habitat conditions. The algae were exposed to an irradiance of 130 µmol photons m-2 s-1 ±10 % (Powerstar HGI-TS 150 W, OSRAM GmbH, Bad Homburg, Germany) measured at the top of the beaker under a 16:8 h L:D cycle. The media in the beakers was changed every third or fourth day and aerated with artificial air containing 380 ppm CO2 (gas mixing device; HTK Hamburg GmbH, Hamburg, Germany). Before the experiment, the algae were acclimated to the final temperatures in steps of 5 °C for 2 days each, beginning at 10 °C. After 21 days exposure time, three out of four samples per replicate were freeze-dried for further biochemical analyses, and afterwards the thermostats were turned off to reduce the temperature to 16±0.4 °C for another 10 days permitting growth under post-culture conditions.

Secchi depth maps for the Baltic Sea, 2003-2012, with links to GeoTIFs

Secchi depth is a measure of water transparency. In the Baltic Sea region, Secchi depth maps are used to assess eutrophication and as input for habitat models. Due to their spatial and temporal coverage, satellite data would be the most suitable data source for such maps. But the Baltic Sea's optical properties are so different from the open ocean that globally calibrated standard models suffer from large errors. Regional predictive models that take the Baltic Sea's special optical properties into account are thus needed. This paper tests how accurately generalized linear models (GLMs) and generalized additive models (GAMs) with MODIS/Aqua and auxiliary data as inputs can predict Secchi depth at a regional scale. It uses cross-validation to test the prediction accuracy of hundreds of GAMs and GLMs with up to 5 input variables. A GAM with 3 input variables (chlorophyll a, remote sensing reflectance at 678 nm, and long-term mean salinity) made the most accurate predictions. Tested against field observations not used for model selection and calibration, the best model's mean absolute error (MAE) for daily predictions was 1.07 m (22%), more than 50% lower than for other publicly available Baltic Sea Secchi depth maps. The MAE for predicting monthly averages was 0.86 m (15%). Thus, the proposed model selection process was able to find a regional model with good prediction accuracy. It could be useful to find predictive models for environmental variables other than Secchi depth, using data from other satellite sensors, and for other regions where non-standard remote sensing models are needed for prediction and mapping. Annual and monthly mean Secchi depth maps for 2003-2012 come with this paper as Supplementary materials.