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  • 2015-2019  (4)
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  • 1
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    PANGAEA
    In:  Supplement to: Asmala, Eero; Haraguchi, Lumi; Markager, Stiig; Massicotte, Philippe; Riemann, Bo; Staehr, Peter A; Carstensen, Jacob (2018): Eutrophication leads to accumulation of recalcitrant autochthonous organic matter in coastal environment. Global Biogeochemical Cycles, 32(11), 1673-1687, https://doi.org/10.1029/2017GB005848
    Publication Date: 2023-03-14
    Description: Anthropogenic nutrient enrichment is changing the structure and the function of coastal ecosystems. These coastal zones are transitions between freshwater and marine systems where multiple biogeochemical processes remove, produce and transform organic matter. The extent to which the coastal zone is merely a conduit for terrestrial (allochthonous) organic matter, versus a distinct source of autochthonous organic matter fueled by eutrophication, is unclear. To address this issue, we characterized the freshwater and marine dissolved organic matter (DOM) pools in an eutrophic estuary with a long water residence time (Roskilde Fjord, Denmark) over an annual cycle. We combined elemental, optical (absorbance and fluorescence) and isotopic analyses to obtain insight about the bulk properties of the DOM pool during this period. We also used sediment traps to analyze the changes related to the exchange of organic matter between the particulate (POM) and dissolved (DOM) fractions. The results showed that labile autochthonous DOM from in situ primary production was rapidly transformed to more recalcitrant DOM that accumulated in the estuary despite continuous exchange with the open sea. Also, parts of the POM pool were degraded rapidly (within 24h) and transformed into the DOM pool. Accumulated DOM was characterized by relatively low molecular size and stable carbon isotopic value, and by high protein-like fluorescence. These results indicate that autotrophic material can be a major source of specific recalcitrant DOM in eutrophic coastal waters, contributing significantly to the flux of organic carbon to the ocean.
    Keywords: Absorption coefficient, 230 nm; Absorption coefficient, 254 nm; Absorption coefficient, 275 nm; Absorption coefficient, 295 nm; Absorption coefficient, 300 nm; Absorption coefficient, 350 nm; Absorption coefficient, 355 nm; Absorption coefficient, 375 nm; Absorption coefficient, 400 nm; Absorption coefficient, 440 nm; Ammonium; Biological index; Carbon, organic, dissolved; Carbon, organic, total; Chlorophyll a; Conductivity; DATE/TIME; DEPTH, water; Event label; Fluorescence, peak A; Fluorescence, peak C; Fluorescence, peak M; Fluorescence, peak T; Fluorescence index; Humification index; LATITUDE; LONGITUDE; Molecular mass; MULT; Multiple investigations; Nitrate; Nitrate and Nitrite; Nitrite; Nitrogen, inorganic, dissolved; Nitrogen, organic, dissolved; Nitrogen, total; Nitrogen, total dissolved; PDZ Europa ANCA-GSL elemental analyser; pH; Phosphate; Phosphorus, inorganic, dissolved; Phosphorus, organic, dissolved; Phosphorus, total; Phosphorus, total dissolved; Ratio; Roskilde_fjord_RF01; Roskilde_fjord_RF02; Roskilde_fjord_RF03; Roskilde_fjord_RF04; Roskilde_fjord_RF05; Roskilde_fjord_RF06; Roskilde_fjord_RF07; Roskilde_fjord_RF08; Salinity; Sample ID; SEC analyser; Silicate; Specific ultraviolet absorbance normalized to DOC, 254 nm; Spectral slope, 275-295 nm; Spectral slope, 300-650 nm; Spectral slope, 350-400 nm; Spectrophotometer UV/VIS (Shimadzu 2401PC); Temperature, water; Varian Cary Eclipse fluorometer (Agilent); Wet oxidation total organic carbon analyzer Shimadzu; δ13C, dissolved organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 7907 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-04-27
    Description: Photosynthetic parameters for the TRANSSIZ expedition aboard the RV Polarstern (PS92, ARK-XXIX/1) between the 19th of May and the 26th June of 2015.
    Keywords: Arctic Ocean; ARK-XXIX/1, TRANSSIZ; Cast number; Coefficient of determination; Comment; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; Latitude of event; Light saturation; Longitude of event; Photoinhibition parameter; Photosynthetic efficiency; Photosynthetic parameters; Photosynthetic rate, maximum, per carbon; Photosynthetic rate, per carbon; Polarstern; primary production; PS92; PS92/019-5; PS92/027-3; PS92/031-3; PS92/032-5; PS92/036-1; PS92/039-8; PS92/043-5; PS92/046-2; PS92/047-4; PS92/052-1; Station label
    Type: Dataset
    Format: text/tab-separated-values, 616 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2019-04-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2020-03-27
    Description: The Arctic ice scape is composed by a mosaic of ridges, hummocks, melt ponds, leads, and snow. Under such heterogeneous surfaces, drifting phytoplankton communities are experiencing a wide range of irradiance conditions and intensities that cannot be sampled representatively using single-location measurements. Combining experimentally derived photosynthetic parameters with transmittance measurements acquired at spatial scales ranging from hundreds of meters (using a remotely operated vehicle, ROV) to thousands of meters (using a surface and underice trawl, SUIT), we assessed the sensitivity of water column primary production estimates to multiscale underice light measurements. Daily primary production calculated from transmittance from both the ROV and the SUIT ranged between 0.004 and 939 mgC.m(-2).day(-1). Upscaling these estimates at larger spatial scales using satellite-derived sea ice concentration reduced the variability by 22% (0.004-731 mgC.m(-2).day(-1)). The relative error in primary production estimates was two times lower when combining remote sensing and in situ data compared to ROV-based estimates alone. These results suggest that spatially extensive in situ measurements must be combined with large-footprint sea ice coverage sampling (e.g., remote sensing, aerial imagery) to accurately estimate primary production in ice-covered waters. Also, the results indicated a decreasing error of primary production estimates with increasing sample size and the spatial scale at which in situ measurements are performed. Conversely, existing estimates of spatially integrated phytoplankton primary production in ice-covered waters derived from single-location light measurements may be associated with large statistical errors. Considering these implications is important for modeling scenarios and interpretation of existing measurements in a changing Arctic ecosystem.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Location Call Number Limitation Availability
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