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  • 1
    Keywords: Hochschulschrift
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (xiv, 184 Seiten) , Illustrationen
    DDC: 572.86
    Language: English
    Note: Kumulatives Verfahren, enthält Aufsätze aus Zeitschriften
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  • 2
    Publication Date: 2024-03-15
    Description: Surface ocean pH is declining due to anthropogenic atmospheric CO2 uptake with a global decline of ~0.3 possible by 2100. Extracellular pH influences a range of biological processes, including nutrient uptake, calcification and silicification. However, there are poor constraints on how pH levels in the extracellular microenvironment surrounding phytoplankton cells (the phycosphere) differ from bulk seawater. This adds uncertainty to biological impacts of environmental change. Furthermore, previous modelling work suggests that phycosphere pH of small cells is close to bulk seawater, and this has not been experimentally verified. Here we observe under 140 μmol photons/m**2/s the phycosphere pH of Chlamydomonas concordia (5 µm diameter), Emiliania huxleyi (5 µm), Coscinodiscus radiatus (50 µm) and C. wailesii (100 µm) are 0.11 ± 0.07, 0.20 ± 0.09, 0.41 ± 0.04 and 0.15 ± 0.20 (mean ± SD) higher than bulk seawater (pH 8.00), respectively. Thickness of the pH boundary layer of C. wailesii increases from 18 ± 4 to 122 ± 17 µm when bulk seawater pH decreases from 8.00 to 7.78. Phycosphere pH is regulated by photosynthesis and extracellular enzymatic transformation of bicarbonate, as well as being influenced by light intensity and seawater pH and buffering capacity. The pH change alters Fe speciation in the phycosphere, and hence Fe availability to phytoplankton is likely better predicted by the phycosphere, rather than bulk seawater. Overall, the precise quantification of chemical conditions in the phycosphere is crucial for assessing the sensitivity of marine phytoplankton to ongoing ocean acidification and Fe limitation in surface oceans.
    Keywords: Acid-base regulation; Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Coscinodiscus wailesii; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Hydrogen ion concentration; Laboratory experiment; Laboratory strains; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phytoplankton; Proton gradients; Salinity; Single species; Species, unique identification; Temperature, water; Thickness; Treatment; Type
    Type: Dataset
    Format: text/tab-separated-values, 3286 data points
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  • 3
    Publication Date: 2024-04-20
    Description: The file contains measurements of iron (Fe) speciation of water samples collected on the Peruvian shelf and slope region. Determinations of iron speciation were analyzed via Adsorptive Cathodic Stripping Voltammetry (Gledhill and Buck. 2012, Frontiers in Microbiology).
    Keywords: Bottle number; Carbon, organic, dissolved; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD/Rosette, ultra clean; CTD-UC; DATE/TIME; DEPTH, water; Event label; Iron III, ferric iron; LATITUDE; LONGITUDE; M136; M136_413-1; M136_427-1; M136_443-1; M136_457-1; M136_465-1; M136_487-1; M136_499-1; M136_535-1; M136_556-1; M136_572-1; Meteor (1986); pH; Sample code/label; SFB754
    Type: Dataset
    Format: text/tab-separated-values, 547 data points
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  • 4
    Publication Date: 2024-04-20
    Description: The file contains measurements and modelling results of iron (Fe) speciation of water samples collected on the Peruvian shelf and slope region. Determinations of iron speciation were analyzed via Adsorptive Cathodic Stripping Voltammetry (Gledhill and Buck. 2012, Frontiers in Microbiology). Modelling results of dissolved iron speciation and the apparent Fe(III) solubility were calculated using the NICA-Donnan model (Kinniburgh et al. 1999, Colloids and Surfaces A) via chemical speciation software ORCHESTRA (Meeussen. 2003, Environ. Sci. Technol.).
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); Climate - Biogeochemistry Interactions in the Tropical Ocean; Description; Modeled; SFB754
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
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  • 5
    Publication Date: 2024-04-20
    Description: The main component of this data base comprises elemental concentrations associated with dissolved organic matter obtained from samples collected on Meteor cruise M147 (May 2018). The data supports the manuscript Trace metal stoichiometry of dissolved organic matter in the Amazon Estuary. Dissolved organic matter (DOM) comprises a distinct component of the Earth's hydrosphere and provides a link between the biogeochemical cycles of carbon, nutrients, and trace metals (TMs). Binding of TMs to DOM is thought to result in a TM pool with DOM-like biogeochemistry. In this manuscript, we determined elemental stoichiometries of aluminium, iron, copper, nickel, zinc, cobalt and manganese associated with a fraction of the DOM pool isolated by solid phase extraction at ambient pH (DOMSPE-amb) from the Amazon estuary. We found the rank order of TM stoichiometry within the DOMSPE-amb fraction was underpinned by the chemical periodicity of the TM. Furthermore, the biogeochemistry of the TMSPE-amb pool was related to the chemical hardness of the TM ion. Thus, the biogeochemistry of TMs bound to the DOMSPE-amb component in the Amazon estuary was determined by the chemical nature of the TM and not by that of the DOMSPE-amb.
    Keywords: Alkalinity, total; Aluminium; Amazon; Atlantic Ocean; Bottle number; Carbon, organic, dissolved; Chlorophyll a; Cobalt; Copper; CT; CTD/Rosette; CTD/Rosette, trace metal clean; CTD-RO; CTD-TM; DATE/TIME; DEPTH, water; Event label; Iron; LATITUDE; Location; LONGITUDE; M147; M147_111-1; M147_13-1; M147_19-1; M147_36-1; M147_39-1; M147_42-1; M147_43-1; M147_45-1; M147_47-1; M147_49-1; M147_52-1; M147_54-1; M147_59-1; M147_64-1; M147_66-1; M147_68-1; M147_71-1; M147_72-1; M147_74-1; M147_75-1; M147_78-1; M147_88-1; M147_95-1; M147-track; Manganese; Meteor (1986); Nickel; Nitrate and Nitrite; Nitrite; pH; Phosphate; Pressure, water; Salinity; Sample code/label; Silicate; Station label; Sulfate; Temperature, water; Trace Metal Elements.; Uncertainty; Underway cruise track measurements; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 917 data points
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  • 6
    Publication Date: 2024-04-20
    Description: The main component of this data base comprises elemental concentrations associated with dissolved organic matter obtained from samples collected on Meteor cruise M147 (May 2018). The data supports the manuscript Trace metal stoichiometry of dissolved organic matter in the Amazon Estuary. Dissolved organic matter (DOM) comprises a distinct component of the Earth's hydrosphere and provides a link between the biogeochemical cycles of carbon, nutrients, and trace metals (TMs). Binding of TMs to DOM is thought to result in a TM pool with DOM-like biogeochemistry. In this manuscript, we determined elemental stoichiometries of aluminium, iron, copper, nickel, zinc, cobalt and manganese associated with a fraction of the DOM pool isolated by solid phase extraction at ambient pH (DOMSPE-amb) from the Amazon estuary. We found the rank order of TM stoichiometry within the DOMSPE-amb fraction was underpinned by the chemical periodicity of the TM. Furthermore, the biogeochemistry of the TMSPE-amb pool was related to the chemical hardness of the TM ion. Thus, the biogeochemistry of TMs bound to the DOMSPE-amb component in the Amazon estuary was determined by the chemical nature of the TM and not by that of the DOMSPE-amb.
    Keywords: Amazon; Atlantic Ocean; Binary Object; Binary Object (File Size); Binary Object (Media Type); Description; Trace Metal Elements.
    Type: Dataset
    Format: text/tab-separated-values, 23 data points
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  • 7
    Publication Date: 2024-04-20
    Description: Iron (Fe) is an important limiting nutrient in the marine environment constraining primary production across much of the ocean due to its sparse solubility in seawater. Iron availability regulates the magnitude and dynamics of ocean primary productivity, and is dependent on Fe solubility and speciation in seawater which in turn are influenced by physico-chemical properties such as pH, temperature, dissolved organic material. In this study, the apparent iron solubility (SFe(III)app) is calculated in an oversaturated system by setting an input of dissolved Fe(III) to 10 nmol L-1, at ambient ocean pH, temperature and dissolved organic carbon concentrations. This will result in the precipitation of Fe hydroxide, as ferrihydrite assumed in our system. The SFe(III)app is defined as the sum of aqueous inorganic Fe(III) species and Fe(III) bound to DOM, formed at a free Fe (Fe3+) concentration equal to the limiting solubility of Fe hydroxide (Fe(OH)3(s)). We compared calculated apparent iron solubility to measured dissolved iron concentrations (dFe) from three GEOTRACES cruises in the Atlantic and Pacific oceans. I aim to build a comprehensive picture on Fe speciation and dFe inventory in the ambient oceanic water column, with further feedbacks on primary productivity.
    Keywords: Alkalinity, total; Biogeochemical Cycling; Carbon, inorganic, dissolved; Carbon, organic, dissolved; DEPTH, water; Event label; GA02_10A; GA02_10B; GA02_11A; GA02_11B; GA02_12A; GA02_12B; GA02_13A; GA02_13B; GA02_14A; GA02_14B; GA02_15A; GA02_15B; GA02_16A; GA02_16B; GA02_17A; GA02_17B; GA02_18A; GA02_18B; GA02_19; GA02_21; GA02_22; GA02_23; GA02_24; GA02_25; GA02_26; GA02_28; GA02_29; GA02_2A; GA02_2B; GA02_3; GA02_31; GA02_32; GA02_33; GA02_34; GA02_35; GA02_36; GA02_37; GA02_38; GA02_39; GA02_4; GA02_40; GA02_41; GA02_5A; GA02_5B; GA02_6A; GA02_6B; GA02_7; GA02_8A; GA02_8B; GA02_9A; GA02_9B; GA06_18; GA06_2; GA06_3; GA06_4; GA06_6; GA06_7; GA06_8; GA06_9; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; GP16_1; GP16_10; GP16_11; GP16_12; GP16_13; GP16_15; GP16_17; GP16_18; GP16_2; GP16_20; GP16_21; GP16_23; GP16_25; GP16_26; GP16_27; GP16_28; GP16_3; GP16_30; GP16_31; GP16_34; GP16_35; GP16_36; GP16_4; GP16_5; GP16_6; GP16_7; GP16_8; GP16_9; Iron; Iron Geochemistry; Measured; Modeled; Ocean acidification; ocean warming; pH; Salinity; Station label; Temperature, water; trace metals
    Type: Dataset
    Format: text/tab-separated-values, 12700 data points
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  • 8
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    Unknown
    Elsevier
    In:  In: Reference Module in Chemistry, Molecular Sciences and Chemical Engineering. , ed. by Reedijk, J. Elsevier, Waltham, MA.
    Publication Date: 2021-04-23
    Description: Cathodic stripping voltammetry (CSV) is an analytical technique used for the analysis of low levels of analytes (principally trace metals and sulfur containing organic compounds) in aqueous solutions, and is based on the measurement of a reductive current response as a function of a potential scan toward more negative potentials. The technique is highly sensitive (limits of detection of 10− 10–10− 12 mol L− 1) because of the application of a preconcentrations step prior to the stripping step. During the preconcentration the analyte is collected on the surface of the working electrode (typically a mercury drop), often in the presence of an added electro-active ligand. The CSV technique has been used for automated measurements of trace metals in marine waters, but a key strength of CSV is in its use in trace metal speciation measurements in natural waters, in particular dissolved iron in marine waters. Recently, iron ligand observations have been made extensively in the global oceans.
    Type: Book chapter , NonPeerReviewed
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  • 9
    Publication Date: 2024-01-12
    Description: Ice calved from the Antarctic and Greenland Ice Sheets or tidewater glaciers ultimately melts in the ocean contributing to sea-level rise. Icebergs have also been described as biological hotspots due to their potential roles as platforms for marine mammals and birds, and as micronutrient fertilizing agents. Icebergs may be especially important in the Southern Ocean where availability of the micronutrients iron and manganese extensively limits marine primary production. Whilst icebergs have long been described as a source of iron to the ocean, their nutrient signature is poorly constrained and it is unclear if there are regional differences. Here we show that 589 ice fragments collected from floating ice in contrasting regions spanning the Antarctic Peninsula, Greenland, and smaller tidewater systems in Svalbard, Patagonia and Iceland have similar characteristic (micro)nutrient signatures with limited or no significant differences between regions. Icebergs are a minor or negligible source of macronutrients to the ocean with low concentrations of NOx (NO3 + NO2, median 0.51 µM), PO4 (median 0.04 µM), and dissolved Si (dSi, median 0.02 µM). In contrast, icebergs deliver elevated concentrations of dissolved Fe (dFe; mean 82 nM, median 12 nM) and Mn (dMn; mean 26 nM, median 2.6 nM). A tight correlation between total dissolvable Fe and Mn (R2 = 0.95) and a Mn:Fe ratio of 0.024 suggested a lithogenic origin for the majority of sediment present in ice. Total dissolvable Fe and Mn retained a strong relationship with sediment load (both R2 = 0.43, p〈0.001), whereas weaker relationships were observed for dFe, dMn and dSi. Sediment load for Antarctic ice (median 9 mg L-1, n=144) was low compared to prior reported values for the Arctic. A particularly curious incidental finding was that melting samples of ice were observed to rapidly lose their sediment load, even when sediment layers were embedded within the ice and stored in the dark. Our results demonstrated that the nutrient signature of icebergs is consistent with an atmospheric source of NOx and PO4. Conversely, high Fe and Mn, and modest dSi concentrations, are associated with englacial sediment, which experiences limited biogeochemical processing prior to release into the ocean.
    Type: Article , NonPeerReviewed
    Format: text
    Format: archive
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  • 10
    Publication Date: 2024-02-07
    Description: Competitive ligand exchange – adsorptive cathodic stripping voltammetry (CLE-AdCSV) is a widely used technique to determine dissolved iron (Fe) speciation in seawater, and involves competition for Fe of a known added ligand (AL) with natural organic ligands. Three different ALs were used, 2-(2-thiazolylazo)-p-cresol (TAC), salicylaldoxime (SA) and 1-nitroso-2-napthol (NN). The total ligand concentrations ([L t ]) and conditional stability constants (log K ′ Fe’L ) obtained using the different ALs are compared. The comparison was done on seawater samples from Fram Strait and northeast Greenland shelf region, including the Norske Trough, Nioghalvfjerdsfjorden (79N) Glacier front and Westwind Trough. Data interpretation using a one-ligand model resulted in [L t ] SA (2.72 ± 0.99 nM eq Fe) > [L t ] TAC (1.77 ± 0.57 nM eq Fe) > [L t ] NN (1.57 ± 0.58 nM eq Fe); with the mean of log K ′ Fe’L being the highest for TAC (log ′ K Fe’L(TAC) = 12.8 ± 0.5), followed by SA (log K ′ Fe’L(SA) = 10.9 ± 0.4) and NN (log K ′ Fe’L(NN) = 10.1 ± 0.6). These differences are only partly explained by the detection windows employed, and are probably due to uncertainties propagated from the calibration and the heterogeneity of the natural organic ligands. An almost constant ratio of [L t ] TAC /[L t ] SA = 0.5 – 0.6 was obtained in samples over the shelf, potentially related to contributions of humic acid-type ligands. In contrast, in Fram Strait [L t ] TAC /[L t ] SA varied considerably from 0.6 to 1, indicating the influence of other ligand types, which seemed to be detected to a different extent by the TAC and SA methods. Our results show that even though the SA, TAC and NN methods have different detection windows, the results of the one ligand model captured a similar trend in [L t ], increasing from Fram Strait to the Norske Trough to the Westwind Trough. Application of a two-ligand model confirms a previous suggestion that in Polar Surface Water and in water masses over the shelf, two ligand groups existed, a relatively strong and relatively weak ligand group. The relatively weak ligand group contributed less to the total complexation capacity, hence it could only keep part of Fe released from the 79N Glacier in the dissolved phase.
    Type: Article , PeerReviewed
    Format: text
    Format: text
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