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  • AMER CHEMICAL SOC  (2)
  • AAAS (American Association for the Advancement of Science)  (1)
  • Bremen : Zentrum für Marine Tropenökologie  (1)
  • 1
    Keywords: Report ; Dissertation ; Hochschulschrift ; Brasilien Nord ; Mangrove ; Auswaschung ; Stoffstrom
    Type of Medium: Book
    Pages: X, 229 S , graph. Darst., Kt
    Series Statement: ZMT-contributions 5
    Language: English , German
    Note: Zsfassung in deutscher Spr. S. IX - X , Zugl.: Bremen, Univ., Diss.
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  • 2
    Publication Date: 2024-02-07
    Description: Dissolved organic matter (DOM) is a distinct component of 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. Here, we determined elemental stoichiometries of aluminum, iron, copper, nickel, zinc, cobalt, and manganese associated with a fraction of the DOM pool isolated by solid-phase extraction at ambient pH (DOM SPE-amb ) from the Amazon plume. We found that the rank order of TM stoichiometry within the DOM SPE-amb fraction was underpinned by the chemical periodicity of the TM. Furthermore, the removal of the TM SPE-amb pool at low salinity was related to the chemical hardness of the TM ion. Thus, the biogeochemistry of TMs bound to the DOM SPE-amb component in the Amazon plume was determined by the chemical nature of the TM and not by that of the DOM SPE-amb . Metal chemistry controls biogeochemistry of metals bound to organic matter in the Amazon plume.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
    Format: text
    Format: archive
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  • 3
    Publication Date: 2020-05-27
    Description: Fourier-transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is one of the state-of-the-art methods to analyze complex natural organic mixtures. The precision of detected masses is crucial for molecular formula attribution. Random errors can be reduced by averaging multiple measurements of the same mass, but because of limited availability of ultrahigh-resolution mass spectrometers, most studies cannot afford analyzing each sample multiple times. Here we show that random errors can be eliminated also by averaging mass spectral data from independent environmental samples. By averaging the spectra of 30 samples analyzed on our 15 T instrument we reach a mass precision comparable to a single spectrum of a 21 T instrument. We also show that it is possible to accurately and reproducibly determine isotope ratios with FT-ICR-MS. Intensity ratios of isotopologues were improved to a degree that measured deviations were within the range of natural isotope fractionation effects. In analogy to δ13C in environmental studies, we propose Δ13C as an analytical measure for isotope ratio deviances instead of widely employed C deviances. In conclusion, here we present a simple tool, extensible to Orbitrap-based mass spectrometers, for postdetection data processing that significantly improves mass accuracy and the precision of intensity ratios of isotopologues at no extra cost.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 4
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    AMER CHEMICAL SOC
    In:  EPIC3Environmental Science & Technology, AMER CHEMICAL SOC, 54(1), pp. 195-206, ISSN: 0013-936X
    Publication Date: 2020-03-13
    Description: About 250 Tg of dissolved organic carbon are annually transported from inland waters to coastal systems making rivers a critical link between terrestrial and ocean carbon pools. During transport through fluvial systems, various biogeochemical processes selectively remove or transform labile material, effectively altering the composition of dissolved organic matter (DOM) exported to the ocean. The river continuum concept (RCC) has been historically used as a model to predict the fate and quality of organic matter along a river continuum. However, the conversion of natural landscapes for urban and agricultural practices can also alter the sources and quality of DOM exported from fluvial systems, and the RCC may be significantly limited in predicting DOM quality in anthropogenically impacted watersheds. Here, we studied DOM dynamics in the Altamaha River watershed in Georgia, USA, a fluvial system where headwater streams are highly impacted by anthropogenic activities. The primary goal of this study was to quantitatively assess the importance of both the RCC and land use as environmental drivers controlling DOM composition. Land use was a stronger predictor of spatial variation (∼50%) in DOM composition defined by both excitation–emission matrix–parallel factor analysis (EEM–PARAFAC) and ultrahigh-resolution mass spectrometry. This is compared to an 8% explained variability that can be attributed to the RCC. This study highlights the importance of incorporating land use among other controls into the RCC to better predict the fate and quality of DOM exported from terrestrial to coastal systems.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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