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  • 11
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    Copernicus Publications (EGU)
    In:  Earth System Science Data, 11 . pp. 947-957.
    Publication Date: 2022-01-31
    Description: The coastal waters of the Baltic Sea are subject to high variations in environmental conditions, triggered by natural and anthropogenic causes. Thus, in situ measurements of water parameters can be strategic for our understanding of the dynamics in shallow water habitats. In this study we present the results of a monitoring program at low water depths (1–2.5 m), covering 13 stations along the Baltic coast of Schleswig-Holstein, Germany. The provided dataset consists of records for dissolved inorganic nutrient concentrations taken twice a month and continuous readings at 10 min intervals for temperature, salinity and oxygen content. Data underwent quality control procedures and were flagged. On average, a data availability of 〉90 % was reached for the monitoring period within 2016–2018. The obtained monitoring data reveal great temporal and spatial variabilities of key environmental factors for shallow water habitats in the southwestern Baltic Sea. Therefore the presented information could serve as realistic key data for experimental manipulations of environmental parameters as well as for the development of oceanographic, biogeochemical or ecological models.
    Type: Article , PeerReviewed
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  • 12
    Publication Date: 2023-02-08
    Description: Eastern boundary upwelling systems (EBUS) are among the most productive marine ecosystems on Earth. The production of organic material is fueled by upwelling of nutrient-rich deep waters and high incident light at the sea surface. However, biotic and abiotic factors can modify surface production and related biogeochemical processes. Determining these factors is important because EBUS are considered hotspots of climate change, and reliable predictions of their future functioning requires understanding of the mechanisms driving the biogeochemical cycles therein. In this field experiment, we used in situ mesocosms as tools to improve our mechanistic understanding of processes controlling organic matter cycling in the coastal Peruvian upwelling system. Eight mesocosms, each with a volume of ∼55 m3, were deployed for 50 d ∼6 km off Callao (12∘ S) during austral summer 2017, coinciding with a coastal El Niño phase. After mesocosm deployment, we collected subsurface waters at two different locations in the regional oxygen minimum zone (OMZ) and injected these into four mesocosms (mixing ratio ≈1.5 : 1 mesocosm: OMZ water). The focus of this paper is on temporal developments of organic matter production, export, and stoichiometry in the individual mesocosms. The mesocosm phytoplankton communities were initially dominated by diatoms but shifted towards a pronounced dominance of the mixotrophic dinoflagellate (Akashiwo sanguinea) when inorganic nitrogen was exhausted in surface layers. The community shift coincided with a short-term increase in production during the A. sanguinea bloom, which left a pronounced imprint on organic matter C : N : P stoichiometry. However, C, N, and P export fluxes did not increase because A. sanguinea persisted in the water column and did not sink out during the experiment. Accordingly, export fluxes during the study were decoupled from surface production and sustained by the remaining plankton community. Overall, biogeochemical pools and fluxes were surprisingly constant for most of the experiment. We explain this constancy by light limitation through self-shading by phytoplankton and by inorganic nitrogen limitation which constrained phytoplankton growth. Thus, gain and loss processes remained balanced and there were few opportunities for blooms, which represents an event where the system becomes unbalanced. Overall, our mesocosm study revealed some key links between ecological and biogeochemical processes for one of the most economically important regions in the oceans.
    Type: Article , PeerReviewed
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  • 13
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    PANGAEA
    In:  Supplement to: Franz, Markus; Lieberum, Christian; Bock, Gesche; Karez, Rolf (2019): Environmental parameters of shallow water habitats in the SW Baltic Sea. Earth System Science Data, 11(3), 947-957, https://doi.org/10.5194/essd-11-947-2019
    Publication Date: 2023-01-13
    Description: The coastal areas of the Baltic Sea represent highly variable environments. In order to record the environmental conditions in shallow water habitats of the SW Baltic Sea, a monitoring program was established. The monitoring sites are located along the Baltic Sea coast of Schleswig-Holstein, Germany. Thirteen stations were established, with samplings for dissolved inorganic nutrient concentrations at all stations and continuous recordings of environmental parameters (temperature, salinity, dissolved oxygen) at nine stations, respectively. Twice per month water samples were collected from a water depth of 1 m at all stations. The samples were analyzed for the concentration of dissolved inorganic nutrients (total oxidized nitrogen, nitrite, ammonia, phosphate and silicate) by UV/VIS spectroscopy using a Continuous Flow Analyzer (San++ Automated Wet Chemistry Analyzer, Skalar Analytical B.V.). For continuous recordings of temperature, salinity and dissolved oxygen concentrations, self-contained data loggers were deployed at 2.5 m depth. Two types of data loggers were used in this study: (I) MiniDOT loggers (Precision Measurement Engineering; http://pme.com; ±10 µmol L-1 or ±5 % saturation) including antifouling copper option (copper plate and mesh) to measure dissolved oxygen concentration and (II) DST CT salinity & temperature loggers (Star-Oddi; http://star-oddi.com; ±1.5 mS cm-1) recorded the conductivity. Both sensors additionally recorded water temperature with an accuracy of ± 0.1 °C. The sampling interval was set to 10 minutes for all parameters. The data for dissolved oxygen concentration was corrected for a depth of 2.5 m using the software provided by the manufacturer. Additionally, a manual compensation for salinity was calculated (see details in related article). Quality control was carried out by implementing spike and gradient tests, following recommendations of SeaDataNet quality control procedures (see https://seadatanet.org/Standards/Data-Quality-Control). All data values were flagged according to applied quality checks using the following flags: 1 = Pass, 2 = Suspect, 3 = Fail, 4 = Visually suspect, 5 = Salinity compensation fail (further explanations can be found in related article). Please note that for station 6 no data for temperature, salinity and dissolved oxygen concentration are available, since the complete logger station failed.
    Type: Dataset
    Format: application/zip, 17 datasets
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  • 14
    Publication Date: 2023-01-13
    Keywords: Ammonium; Baltic Sea; DATE/TIME; DEPTH, water; Event label; Latitude of event; Longitude of event; MULT; Multiple investigations; Nitrate; Nitrite; Phosphate; Silicate; Station label; SW-Baltic-coast-SH_1; SW-Baltic-coast-SH_10; SW-Baltic-coast-SH_11; SW-Baltic-coast-SH_12; SW-Baltic-coast-SH_13; SW-Baltic-coast-SH_2; SW-Baltic-coast-SH_3; SW-Baltic-coast-SH_4; SW-Baltic-coast-SH_5; SW-Baltic-coast-SH_6; SW-Baltic-coast-SH_7; SW-Baltic-coast-SH_8; SW-Baltic-coast-SH_9; UV/VIS spectroscopy, Continuous Flow Analyzer (San++ Automated Wet Chemistry Analyzer, Skalar Analytical B.V.)
    Type: Dataset
    Format: text/tab-separated-values, 4086 data points
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  • 15
    Publication Date: 2023-11-24
    Keywords: Baltic Sea; DATE/TIME; DEPTH, water; MULT; Multiple investigations; Quality flag; Salinity; Salinity & Temperature Data Logger, DST CT, STAR ODDI; Station label; SW-Baltic-coast-SH_2; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 590720 data points
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  • 16
    Publication Date: 2023-11-24
    Keywords: Baltic Sea; DATE/TIME; DEPTH, water; MULT; Multiple investigations; Quality flag; Salinity; Salinity & Temperature Data Logger, DST CT, STAR ODDI; Station label; SW-Baltic-coast-SH_7; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 551110 data points
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  • 17
    Publication Date: 2023-11-24
    Keywords: Baltic Sea; DATE/TIME; DEPTH, water; MULT; Multiple investigations; Quality flag; Salinity; Salinity & Temperature Data Logger, DST CT, STAR ODDI; Station label; SW-Baltic-coast-SH_3; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 438790 data points
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  • 18
    Publication Date: 2023-11-24
    Keywords: Baltic Sea; DATE/TIME; DEPTH, water; MULT; Multiple investigations; Quality flag; Salinity; Salinity & Temperature Data Logger, DST CT, STAR ODDI; Station label; SW-Baltic-coast-SH_8; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 381220 data points
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  • 19
    Publication Date: 2023-11-24
    Keywords: Baltic Sea; DATE/TIME; DEPTH, water; MULT; Multiple investigations; Quality flag; Salinity; Salinity & Temperature Data Logger, DST CT, STAR ODDI; Station label; SW-Baltic-coast-SH_11; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 441360 data points
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  • 20
    Publication Date: 2023-11-24
    Keywords: Baltic Sea; DATE/TIME; DEPTH, water; MULT; Multiple investigations; Quality flag; Salinity; Salinity & Temperature Data Logger, DST CT, STAR ODDI; Station label; SW-Baltic-coast-SH_13; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 586360 data points
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