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  • 15N-tracer; Ammonium, oxidation rate; Ammonium, oxidation rate, limit of detection; Ammonium, oxidation rate, standard error; ammonium oxidation; Anammox rate; Anammox rate, standard error; Benguela Upwelling System; BUSUC 1; Calculated; CTD/Rosette; CTD-RO; DATE/TIME; Denitrification; Denitrification rate, standard error; DEPTH, water; Event label; Field observation; Gas Chromatograph (GC), Manufacturer unknown, custom built; coupled with Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Plus; Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Advantage [Conflo IV interface]; LATITUDE; LONGITUDE; M157; M157_14-14; M157_16-25; M157_17-16; M157_2-9; Meteor (1986); N2O production rates; Namibia; Nitrate, reduction rate; Nitrate, reduction rate, limit of detection; nitrate reduction; nitrification; Nitrous oxide, limit of detection; Nitrous oxide, yield; Nitrous oxide production; Nitrous oxide production, standard error; oxygen minimum zone; Sample code/label; Site preference, N2O; Site preference, N2O, standard deviation; Stable isotope; Station label; δ15N, nitrous oxide; δ15N, nitrous oxide, standard deviation; δ15N-alpha, nitrous oxide; δ15N-alpha, nitrous oxide, standard deviation; δ15Nbeta, nitrous oxide; δ15Nbeta, nitrous oxide, standard deviation; δ18O, nitrous oxide; δ18O, nitrous oxide, standard deviation  (1)
  • Biomass as carbon per individual; Clearance rate per individual; EXP; Experiment; Nanoflagellates_FEEDEXP; Taxon/taxa; Treatment: temperature; Uniform resource locator/link to reference  (1)
  • Hochschulschrift  (1)
Document type
Keywords
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Language
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  • 1
    Keywords: Hochschulschrift ; Phytoplankton ; Klimaänderung
    Description / Table of Contents: Global warming has already and is continuing to impact the global oceans. Half of the global primary production is performed by phytoplankton in the oceans and heterotrophic marine bacteria channel a substantial amount of primary organic carbon through the microbial loop. Understanding the influence of climate change on these important processes is therefore essential for an assessment of the vulnerability of the carbon cycle and possible feedbacks. This thesis reports results from investigations on the temperature dependent coupling between phytoplankton and bacterioplankton, with respect to additional effects of light intensity and inorganic nutrient concentrations. During four consecutive years, mesocosm experiments with natural Kiel Fjord winter plankton communities investigated the influences of increasing water temperatures of up to ?T +6ʿC and different light intensities between 16 and 100% of natural incident light. In an additional microcosm experiment with a single algal species and the natural bacterial community, two inorganic nutrient concentrations were used, in order to evaluate the combined effects of temperature and substrate on the algal-bacterial coupling. Summarising the results from all experiments it can be concluded, that increasing temperatures generally led to an increased heterotrophic bacterial organic substrate utilisation relative to primary production. In combination with a further brightening, the supplemental promotion of primary production would increase the absolute amounts of cycled organic matter. Future increasing P-limitation in coastal waters would lead not only to an enhanced absolute amount of cycled carbon, but additionally to an increased relative amount of remineralised organic carbon through the microbial loop. An enhanced organic matter transfer through the microbial loop has the potential to alter the whole structure and functioning of the marine food web and the biological sequestration of carbon to depth. Additionally, a substantial rise of CO2 emissions through enhanced respiration represents a positive feedback loop to the global climate change problem.
    Type of Medium: Online Resource
    Pages: Online-Ressource (pdf-Datei: 199 S., 1,7 MB)
    DDC: 578.77622
    Language: English
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-01-26
    Keywords: Biomass as carbon per individual; Clearance rate per individual; EXP; Experiment; Nanoflagellates_FEEDEXP; Taxon/taxa; Treatment: temperature; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 15 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-06-05
    Description: Upwelling systems are significant sources of atmospheric nitrous oxide (N₂O). The Benguela Upwelling System is one of the most productive regions worldwide and a temporally variable source of N₂O. Strong O₂ depletions above the shelf are favoring periodically OMZ formations. We aimed to assess underlying N₂O production and consumption processes on different temporal and spatial scales during austral winter in the Benguela Upwelling System, when O₂-deficiency in the water column is relatively low. The fieldwork took place during the cruise M157 (August 4th – September 16th 2019) onboard the R/V METEOR. This expedition included four close-coastal regions around Walvis Bay at 23°S, which presented the lowest O₂ concentrations near the seafloor and thus may provide hotspots of N₂O production. Seawater was collected in 10 L free-flow bottles by using a rosette system equipped with conductivity-temperature-depth (CTD) sensors (SBE 911plus, Seabird-electronics, USA). Incubation experiments were performed using stable isotope ¹⁵N-tracers. Seawater samples for ¹⁵N-tracer incubations and natural abundance N₂O analysis were collected from 10 L free-flow bottles and filled bubble-free into 125 mL serum bottles. The samples for natural abundance N₂O analysis were immediately fixed with saturated HgCl₂ and stored in the dark. To perform the incubation, we added ¹⁵N-labeled NO₂-, NO₃⁻ and NH₄⁺ to estimate the in-situ N₂O production rates and associated reactions. To determine a single rate, the bottles were sacrificed after tracer addition, and within the time interval of 12 h, 24 h and 48 h by adding HgCl₂. Rates were calculated based on a linear regression over time. Total N₂O and natural abundance isotopologues of N₂O were analyzed by using an isotope ratio mass spectrometer (IRMS, Delta V Plus, Thermo Scientific). NO₂- production was additionally analyzed by transforming ¹⁵NO₂- to ¹⁵N₂O following the azide method after McIlvin & Altabet (2005) and the nitrogen isotope ratio of N₂O was measured by an IRMS. N₂ production was determined via an IRMS (Flash-EA-ConfloIV-DELTA V Advanced, Thermo Scientific) by injecting headspace from exetainers. The N₂O yield per nitrite produced and the N₂O yield during denitrification was calculated. Samples for natural abundance N₂O was sampled and measured in triplicates and is shown as an average with standard deviation (SD). In order to estimate the contribution of different N₂O producing pathways by major biological processes and the extent of N₂O reduction to N₂, the dual-isotope mapping approach was applied to natural abundance isotopologues of N₂O, which uses the relative position of background-subtracted N₂O samples in a δ¹⁵Nˢᴾ-N₂O vs. δ¹⁸O-N₂O diagram (Yu et al., 2020; Lewicka-Szczebak et al., 2020).
    Keywords: 15N-tracer; Ammonium, oxidation rate; Ammonium, oxidation rate, limit of detection; Ammonium, oxidation rate, standard error; ammonium oxidation; Anammox rate; Anammox rate, standard error; Benguela Upwelling System; BUSUC 1; Calculated; CTD/Rosette; CTD-RO; DATE/TIME; Denitrification; Denitrification rate, standard error; DEPTH, water; Event label; Field observation; Gas Chromatograph (GC), Manufacturer unknown, custom built; coupled with Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Plus; Isotope Ratio Mass Spectrometer (IRMS), Thermo Scientific, Delta V Advantage [Conflo IV interface]; LATITUDE; LONGITUDE; M157; M157_14-14; M157_16-25; M157_17-16; M157_2-9; Meteor (1986); N2O production rates; Namibia; Nitrate, reduction rate; Nitrate, reduction rate, limit of detection; nitrate reduction; nitrification; Nitrous oxide, limit of detection; Nitrous oxide, yield; Nitrous oxide production; Nitrous oxide production, standard error; oxygen minimum zone; Sample code/label; Site preference, N2O; Site preference, N2O, standard deviation; Stable isotope; Station label; δ15N, nitrous oxide; δ15N, nitrous oxide, standard deviation; δ15N-alpha, nitrous oxide; δ15N-alpha, nitrous oxide, standard deviation; δ15Nbeta, nitrous oxide; δ15Nbeta, nitrous oxide, standard deviation; δ18O, nitrous oxide; δ18O, nitrous oxide, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 801 data points
    Location Call Number Limitation Availability
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