Enhanced mineral dissolution in the benthic environment is currently discussed as a potential technique for ocean alkalinity enhancement (OAE) to reduce atmospheric carbon dioxide (CO2) levels. This study explores how biogeochemical processes affect the dissolution of alkaline minerals in surface sediments during laboratory incubation experiments. These involved introducing dunite and calcite to organic-rich sediments from the Baltic Sea under controlled conditions in an anoxic to hypoxic environment. The sediment cores were incubated with Baltic Sea bottom water. Eight sediment cores were positioned vertically in a rack. Since the sediment surface was slightly oxidized by the bottom water (∼125 μmol l−1 upon recovery), the cores were left plugged on the top for 13 days to settle after recovery until the sediment surface was anoxic. To achieve chemical conditions that are expected in the natural system, 500l of retrieved sea water were degassed via bubbling with pure dinitrogen gas in batches of 100 l. Afterwards, between 50 and 60 l were transferred into an evacuated gas tight bag. After the transfer, pH and total alkalinity (TA) were measured to determine the dissolved inorganic carbon (DIC) of the water. Afterwards the DIC was increased via adding pure CO2 until a CO2 partial pressure (pCO2 ) of ∼2,300–∼3,300 μatm was established mimicking conditions prevailing in Boknis Eck during summer. Stirring heads were installed on the cores. To prevent the development of oxic conditions, it was ensured that as little gas phase as possible was left in the cores. Elimination of pelagic autotrophs, heterotrophs, and suspended particles was achieved by flushing the cores with modified bottom water for 2 days with a flow rate of 1.5 mml min−1. Afterwards, a continuous throughflow of 700 μl min−1 from the reservoir of modified bottom water was applied, leading to a residence time of ∼2.1 days inside the cores. For the experimental incubations, six cores received additions of alkaline materials, three with calcite (Cal1 - Cal3) and three cores with dunite (Dun1 - Dun3), leading to three replicates per treatment. Two control cores remained untreated (C1, C2). The amount of added substrate was based on the rain rate of particulate organic carbon observed in Boknis Eck (0.5 mmol cm−2 a−). The incubation lasted for 25 days. The volume of water in each core was determined at the end of the experiment via measuring the height of the water column after removing the stirring heads. Bottom water samples were taken from the outflow of each core over a time period of several hours. Thus, samples represent the average outflow over the respective time period. Sampling intervals increased from daily during the first two weeks to every three to four days and weekly towards the end of the experiment. All samples were filtered through a 0.2 µm cellulose membrane filter and refrigerated in 25 ml ZinsserTM scintillation vials. Samples for TA were analyzed directly after sampling by titration of 1 ml of bottom water with 0.02N HCl. Titration was ended when a stable purple color appeared. During titration, the sample was degassed by continuous bubbling with nitrogen to remove any generated CO2 and H2S. The acid was standardized using an IAPSO seawater standard. Acidified sub-samples (30 μl suprapure HNO3- + 3 ml sample) were prepared for analyses of major and trace elements (Si, Na, K, Li, B, Mg, Ca, Sr, Mn, Ni and Fe) by inductively coupled plasma optical emission spectroscopy (ICP-OES, Varian 720-ES).
Stammdaten und Analysedaten zu den Grundwassermessstellen im EUA-Messnetz: Messtelle DEGM_DENW_100120015 (BS 1 KNETTERHDE)
Klimamodelle sagen voraus, dass sich in naher Zukunft im Antarktischen Ozean signifikant die Temperatur und der PH-Wert ändern werden, bedingt durch den Anstieg der Konzentrationen troposphärischer Treibhausgase und vor allem durch den erhöhten Kohlenstoffdioxidausstoß aus fossilen Brennstoffen. Solche Änderungen wirken sich auf die Zusammensetzung des Phytoplanktons aus und damit auch auf die Stoffkreisläufe wichtiger Elemente (Kohlenstoff, Stickstoff, usw.). Ziel dieses interdisziplinären Projektes ist die genauere Bestimmung der räumlichen und zeitlichen Variabilität der Biomasse von unterschiedlichen Phytoplanktontypen im Antarktischen Ozean. Einerseits wird hiermit das Verständnis der Rolle des antarktischen Phytoplanktons für das Ökosystem vertieft und andererseits deren Beitrag für den globalen Kohlenstoffzyklus genauer quantifiziert. Durch die einzigartige Kombination von Satellitendaten zweier unterschiedlicher Instrumententypen soll die Konzentration verschiedener Phytoplankton-Typen im Antarktischen Ozean zum ersten Mal mit umfassender zeitlicher und räumlicher Abdeckung bestimmt werden. Die Gesamtbiomasse wird durch eine an die Antarktis angepasste Prozessierung mit Hilfe multispektraler Satellitenmessdaten berechnet. Der Anteil wesentlicher Phytoplanktontypen an der Gesamtbiomasse wird anhand der Auswertung charakteristischer Absorptionsstrukturen von hyperspektralen Messdaten (PhytoDOAS-Methode) ermittelt. Somit soll ein synergetisches Produkt aus sich ergänzenden Informationen multi- und hyperspektraler Satelliteninstrumente entwickelt werden, das auf ähnliche Satelliteninstrumente, deren Messungen in naher Zukunft starten, übertragbar sein wird. Damit kann dann ein Datensatz über die Verteilung von Phytoplanktontypen über Dekaden erstellt werden. Mit dem im Projekt entstehenden Datensatz über die Verteilung der Phytoplanktontypen soll deren Variabilität und Korrelation mit sich ändernden Umweltfaktoren im Antarktischen Ozean in den vergangenen untersucht werden. Darüber hinaus soll unser Datensatz genutzt werden, zur Verbesserung und Evaluierung eines Ökosystem-Models, welches die Biogeographie verschiedener Phytoplanktontypen durch Parametrisierung physiologischer Eigenschaften an ein Ozeanzirkulatonsmodell errechnet. Mit Hilfe des Langzeitdatensatz und dem damit verbundenen Wissen über die Variabilität der Phytoplanktontypen, wird ein Fundament geschaffen, um den Einfluss der Klimaveränderungen im Antarktischen Ozean zu bemessen.
Die Hangneigung entspricht dem sogenannten Hangneigungswinkel und ist die Neigung der Geländeoberfläche gegenüber der Horizontalen entlang einer Falllinie (maximaler Neigungswinkel des Geländes). Die Karte stellt die Hangneigung in den zwei Klassen "kleiner gleich 20 Prozent" und "größer 20 Prozent" mit einer Rasterauflösung von 5 m dar. Sind mehr als 30% der Fläche eines Grünlandschlages oder eines Ackerschlages mit mehrschnittigem Feldfutterbau in der Klasse "größer 20 Prozent", ist der Schlag von den Vorgaben des § 6 Abs. 3 Satz 2 DüV, wonach flüssige organische und flüssige organisch-mineralische Düngemittel, einschließlich flüssiger Wirtschaftsdünger, mit wesentlichem Gehalt an verfügbarem Stickstoff oder Ammoniumstickstoff auf Grünland und auf Ackerflächen mit mehrschnittigem Feldfutterbau ab dem 01. Februar 2025 nur noch streifenförmig auf den Boden aufgebracht oder direkt in den Boden eingebracht werden dürfen, befreit.
The sea surface microlayer (SML) is the boundary layer on top of all oceans and is crucial for all exchange processes between the ocean and atmosphere. This less than 1 mm thick layer is heavily influenced by biological processes and events like algal blooms. To quantify the influence of an algal bloom in a controlled environment, we conducted a mesocosm study at the Sea sURface Facility (SURF) of the Institute for Chemistry and Biology of the Marine Environment (ICBM) in Wilhelmshaven, Germany (53.5148 °N, 8.1463°E). SURF is an 8.5 m long, 2 m wide and 1 m deep water basin, which can directly be filled with seawater from the Jade Bay, North Sea. The facility is equipped with a retractable roof, pumps for water circulation and dedicated mounts for multiple sensor systems. The mesocosm experiment was conducted from 18 May to 16 June 2023 as part of the project BASS (Biogeochemical processes and Air-sea exchange in the Sea-Surface microlayer). SURF was filled with seawater a few days before the start of the experiment (water depth 0.7 m). The water was then filtered and the surface skimmed to remove initial pollution. To prevent particle and microbial sedimentation during the experiment, the pumps operated at low speed to maintain gentle mixing of the water column. The roof of SURF was closed during the night, while it was open during the day except when it rained. To induce an algal bloom, a mix of nutrients (nitrogen, phosphorus and silicate) was added on 26 May, 30 May and 01 June. Based on the chlorophyll measurements which show the development of the bloom, three phases of the experiment were determined: the pre-bloom phase (18 May to 26 May), the bloom phase (27 May to 04 June) and the post-bloom phase (05 June to 16 June). Several physical, chemical and biological parameters were measured, which will be published in other datasets. To evaluate the impact of the algal bloom within the SML, oxygen concentration, pH, and temperature were measured in situ using microsensors (UNISENSE, Denmark) mounted on a MicroProfiling System (UNISENSE, Denmark). With this setup, direct in situ measurements inside both the thermal boundary layer and diffusion boundary layer at the sea surface can be made. One oxygen microsensor, two pH microsensors and three temperature microsensors were mounted on the microprofiler with their tips pointing upward to avoid disturbance in the SML. They were positioned a few centimeters apart. The microprofiler was used to automatically move the sensors down, from the air through the SML and into the underlying water over a total distance of 10 000 µm in steps of 125 µm (250 µm at the start of the experiment). At each depth, the sensors stayed for about 10 s, giving a mean value and a standard deviation over that time. Three of these measurements were taken at every depth before the sensor moved down to the next step. After completing a profile, the microprofiler returned to its initial position with the tips in the air to start the next profile. The resulting profiles mostly took between 40 to 50 minutes. These profiles were conducted continuously during day and night, except for small breaks to clean and if needed replace or readjust the sensors and recalibrate the pH sensors. The sensors' height required manual adjustment to position the tip precisely at the water surface (0 µm). Through this manual adjustment, small inaccuracies may occur. As a result, the sensor depth readings form the microprofiler system may not reflect the true sensor position, which can also vary between the sensors. The true sensor positions can later be obtained by analysing the measured profiles.
Es handelt sich um eutrophierungsrelevante, überprüfte Daten von 2003 bis 2010.
Larvae of marine species with complex life cycles with wide latitudinal distribution ranges can differ not only in their thermal tolerance, but also in responses to temperature, such as growth rates and carbon or nitrogen accumulation. To assess population-specific growth rates, based on dry mass and carbon and nitrogen contents, we studied larval growth rates of the European shore crab Carcinus maenas across an environmental temperature gradient. We measured larval growth (day-1) from hatching to metamorphosis to megalopa at seven constant temperature treatments (9-27 °C, in 3 °C increments). Data represent experimental observations of larval dry mass, carbon and nitrogen contents under laboratory conditions and are reported at the level of replicates by females of each population. Replication was performed on two levels: 5 **10 larvae were reared per female, and 4 to 6 females were used per population. Larvae originated from berried females collected from populations at the southern and northern parts of the native European distribution (Vigo, Spain; Bergen and Trondheim, Norway). The data were collected during one reproductive period in 2022. Growth rates were low at low temperatures and increased with temperature, reaching a plateau at 21 °C. This increase in growth coincided with a reduction in duration of development, leading to similar body mass at metamorphosis across temperature treatments. Contrastingly, at the high temperature treatments 24°C and 27°C, reductions in duration of development did not coincide with increased growth rates, hence larvae metamorphosed with reduced body mass.
Der WMS umfasst von Eutrophierung beeinflusste Parameter, die an Messstationen des LLUR erfasst werden. Parameter: Chlorophyll a, Nährstoffkonzentrationen, Sichttiefe, Makrophyten, Sauerstoffgehalt, Sauerstoffsättigungsindex und Stickstoffrachten aus den Flussgebietseinheiten.
This dataset documents field investigations on release of legacy World War I munition explosive compounds into the surrounding marine environment, with a focus on shipwreck sites in the North Sea. Three historically well-documented wrecks were selected: the light cruisers SMS Mainz and SMS Ariadne, and the minelayer submarine UC30. These wrecks were chosen based on detailed archival information regarding their sinking circumstances and cargo, their unambiguous identification, and their accessibility for scientific diving operations. As a munition-free control, a reference area outside known wreck fields was sampled (Naturschutzgebiet Borkum Riffgrund). The flatfish Limanda limanda (dab) was selected as a sentinel species. Sampling was conducted during several cruises with the research vessel Heincke (HE 573, April 2021 – SMS Mainz; HE 596, April 2022 – UC30 and SMS Ariadne; HE 607, September 2022 – UC30; HE 613, February 2023 – SMS Ariadne) and with the Uthörn (May 2022 – reference site). Water was sampled with a CTD rosette water sampler at different depths and processed on board by solid phase extraction at 4 °C. Sediment was sampled with a Van Veen grab sampler and frozen at -20 °C. Fish were caught using bottom trawls deployed as close as possible to the wreck structures. Captured fish were transferred to seawater tanks prior to dissection. Each specimen was measured, weighed, and assessed biometrically to calculate condition factors as indicators of general health. Tissue samples were immediately frozen in liquid nitrogen and stored at -20 °C. Samples were processed in the lab according to established protocols. All samples were analyzed by gas chromatography triple quadrupole mass spectrometry (GC-MS/MS) for the explosive TNT and its metabolites 2- and 4-ADNT.
To characterise slicks chemically and biologically, on 13th, 16th and 18th of June 2024, slicks and underlying water (depth 1m) were sampled at a total of 9 closely clustered stations in the Baltic Sea off the coast of Warnemünde, Germany. On 13.06. and 16.06. samples were taken in the evening, on the 18.06. samples were taken in the morning. On site, salinity (portable Total Dissolved Solids (TDS)-meter CO-330), water temperature (portable Total Dissolved Solids (TDS)-meter CO-330), wind speed (hand-held anemometer model MS6252A) and light intensity (Galaxy Sensors phone app v.1.10.1) were measured. Slick samples were taken with a glass plate sampler (), samples of the underlying water were taken by a syringe connected to a weighted hose. The samples were fixed as needed and analysed for dissolved organic carbon (DOC) concentration, total dissolved nitrogen (TDN) concentration, surfactant (SAS) concentration, viral particle concentration and cellular abundance of phytoplankton in different size classes (pico-, nano- and microphytoplankton). DOC and TDN concentrations were analysed by high temperature catalytic combustion, SAS concentrations by the voltametric technique with a hanging mercury drop electrode (Ćosović and Vojvodić 1998; Rickard et al. 2019). The concentrations of viral particles and phytoplankton were assessed by flowcytometry (BD Accuri C6 flow cytometer).
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