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  • 11
    Publication Date: 2023-03-03
    Keywords: Bottle, Niskin 10-L; Carbon, organic, particulate; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, water; NIS_10L; Nitrogen, organic, particulate; North Atlantic; Phosphorus, organic, particulate; POS284; POS284_148; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 12
    Publication Date: 2023-03-03
    Keywords: Bottle, Niskin 10-L; Carbon, organic, particulate; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, water; NIS_10L; Nitrogen, organic, particulate; North Atlantic; Phosphorus, organic, particulate; POS284; POS284_159; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 53 data points
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  • 13
    Publication Date: 2023-03-03
    Keywords: Bottle, Niskin 10-L; Carbon, organic, particulate; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, water; NIS_10L; Nitrogen, organic, particulate; North Atlantic; Phosphorus, organic, particulate; POS284; POS284_167; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 46 data points
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  • 14
    Publication Date: 2023-03-03
    Keywords: Bottle, Niskin 10-L; Carbon, organic, particulate; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, water; NIS_10L; Nitrogen, organic, particulate; North Atlantic; Phosphorus, organic, particulate; POS284; POS284_156; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 52 data points
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  • 15
    Publication Date: 2023-03-03
    Keywords: Bottle, Niskin 10-L; Carbon, organic, particulate; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, water; NIS_10L; Nitrogen, organic, particulate; North Atlantic; Phosphorus, organic, particulate; POS284; POS284_183; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 33 data points
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  • 16
    Publication Date: 2023-03-03
    Keywords: Bottle, Niskin 10-L; Carbon, organic, particulate; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, water; NIS_10L; Nitrogen, organic, particulate; North Atlantic; Phosphorus, organic, particulate; POS284; POS284_173; Poseidon
    Type: Dataset
    Format: text/tab-separated-values, 51 data points
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  • 17
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    PANGAEA
    In:  Supplement to: Koeve, Wolfgang; Oschlies, Andreas (2012): Potential impact of DOM accumulation on fCO2 and carbonate ion computations in ocean acidification experiments. Biogeosciences, 9(10), 3787-3798, https://doi.org/10.5194/bg-9-3787-2012
    Publication Date: 2023-02-24
    Description: Culture and mesocosm experiments are often carried out under high initial nutrient concentrations, yielding high biomass concentrations that in turn often lead to a substantial build-up of DOM. In such experiments, DOM can reach concentrations much higher than typically observed in the open ocean. To the extent that DOM includes organic acids and bases, it will contribute to the alkalinity of the seawater contained in the experimental device. Our analysis suggests that whenever substantial amounts of DOM are produced during the experiment, standard computer programmes used to compute CO2 fugacity can underestimate true fCO2 significantly when the computation is based on AT and CT. Unless the effect of DOM-alkalinity can be accounted for, this might lead to significant errors in the interpretation of the system under consideration with respect to the experimentally applied CO2 perturbation. Errors in the inferred fCO2 can misguide the development of parameterisations used in simulations with global carbon cycle models in future CO2-scenarios. Over determination of the CO2-system in experimental ocean acidification studies is proposed to safeguard against possibly large errors in estimated fCO2.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 18
    Publication Date: 2023-05-12
    Description: Here we provide optimised vertical eddy diffusivity estimates for the PeECE III and KOSMOS 2013 mesocosm experiment, obtained from a model-based reanalysis. These diffusivities are derived from the observed temperature and salinity profiles that have been published in Schulz et al., 2008. Furthermore, we make our model code available, providing an adjustable tool to simulate vertical mixing in any other pelagic mesocosm. We also provide the interpolated and regridded temperature and salinity profiles of the PeECE III experiment as well as the density profiles which we calculated from the temperature and salinity profiles using the R package seacarb (Lavigne et al., 2011). These data files are required as input to run simulations of the PeECE III experiment with the 1D mesocosm mixing model. The columns of the environmental files (required input files for the model) from left to right are: Experiment year, month, day, Julian day, photosynthetically active radiation (PAR) [W/m^2], temperature [C], salinity [PSU], CO2 concentration [ppm], wind speed [m/s]. The rows list the respective value of each hour of the experiment. Temperature and salinity in this table are hourly interpolated values of the daily measurements published by the PeECE III team (2005). PAR has been calculated from global radiation data of Bergen provided by Olseth et al., 2005. In the temperature, salinity and density files, the rows indicate the depth (0.5 m resolution, the first row is the surface, the last row is the bottom), whereas the columns indicate the experiment time at an hourly resolution.
    Keywords: File content; File format; File name; File size; Uniform resource locator/link to file
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 19
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    PANGAEA
    In:  Supplement to: Landolfi, Angela; Dietze, Heiner; Koeve, Wolfgang; Oschlies, Andreas (2013): Overlooked runaway feedback in the marine nitrogen cycle: the vicious cycle. Biogeosciences, 10(3), 1351-1363, https://doi.org/10.5194/bg-10-1351-2013
    Publication Date: 2023-05-12
    Description: The marine nitrogen (N) inventory is thought to be stabilized by negative feedback mechanisms that reduce N inventory excursions relative to the more slowly overturning phosphorus inventory. Using a global biogeochemical ocean circulation model we show that negative feedbacks stabilizing the N inventory cannot persist if a close spatial association of N2 fixation and denitrification occurs. In our idealized model experiments, nitrogen deficient waters, generated by denitrification, stimulate local N2 fixation activity. But, because of stoichiometric constraints, the denitrification of newly fixed nitrogen leads to a net loss of N. This can enhance the N deficit, thereby triggering additional fixation in a vicious cycle, ultimately leading to a runaway N loss. To break this vicious cycle, and allow for stabilizing negative feedbacks to occur, inputs of new N need to be spatially decoupled from denitrification. Our idealized model experiments suggest that factors such as iron limitation or dissolved organic matter cycling can promote such decoupling and allow for negative feedbacks that stabilize the N inventory. Conversely, close spatial co-location of N2 fixation and denitrification could lead to net N loss.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; Description; File format; File size; modelled; Uniform resource locator/link to model result file
    Type: Dataset
    Format: text/tab-separated-values, 16 data points
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  • 20
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    PANGAEA
    In:  Supplement to: Kalvelage, Tim; Lavik, Gaute; Lam, Phyllis; Contreras, Sergio; Arteaga, Lionel; Löscher, Carolin R; Oschlies, Andreas; Stramma, Lothar; Kuypers, Marcel MM (2013): Nitrogen cycling driven by organic matter export in the South Pacific oxygen minimum zone. Nature Geoscience, 6(3), 228-234, https://doi.org/10.1038/ngeo1739
    Publication Date: 2023-10-28
    Description: Oxygen minimum zones are expanding globally, and at present account for around 20-40% of oceanic nitrogen loss. Heterotrophic denitrification and anammox-anaerobic ammonium oxidation with nitrite-are responsible for most nitrogen loss in these low-oxygen waters. Anammox is particularly significant in the eastern tropical South Pacific, one of the largest oxygen minimum zones globally. However, the factors that regulate anammox-driven nitrogen loss have remained unclear. Here, we present a comprehensive nitrogen budget for the eastern tropical South Pacific oxygen minimum zone, using measurements of nutrient concentrations, experimentally determined rates of nitrogen transformation and a numerical model of export production. Anammox was the dominant mode of nitrogen loss at the time of sampling. Rates of anammox, and related nitrogen transformations, were greatest in the productive shelf waters, and tailed off with distance from the coast. Within the shelf region, anammox activity peaked in both upper and bottom waters. Overall, rates of nitrogen transformation, including anammox, were strongly correlated with the export of organic matter. We suggest that the sinking of organic matter, and thus the release of ammonium into the water column, together with benthic ammonium release, fuel nitrogen loss from oxygen minimum zones.
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; SFB754
    Type: Dataset
    Format: application/zip, 6 datasets
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