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  • SOPRAN; Surface Ocean Processes in the Anthropocene  (3)
  • BIOACID; Biological Impacts of Ocean Acidification  (2)
  • 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; Alloxanthin; alpha-Carotene, beta,epsilon-Carotene; Antheraxanthin; Astaxanthin; beta-Carotene, beta,beta-Carotene; Chlorophyll a; Chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; CT; CTD/Rosette; CTD-002; CTD-003; CTD-010; CTD-013; CTD-017; CTD-019; CTD-021; CTD-024; CTD-026; CTD-028; CTD-030; CTD-034; CTD-035; CTD-036; CTD-039; CTD-041; CTD-043; CTD-044; CTD-045; CTD-046; CTD-047; CTD-048; CTD-049; CTD-050; CTD-052; CTD-055; CTD-058; CTD-060; CTD-061; CTD-064; CTD-065; CTD-067; CTD-068; CTD-071; CTD-073; CTD-075; CTD-080; CTD-082; CTD-083; CTD-088; CTD-090; CTD-094; CTD-095; CTD-096; CTD-097; CTD-RO; DATE/TIME; DEPTH, water; Diadinoxanthin; Diatoxanthin; Dinoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; Fucoxanthin; Gear; High Performance Liquid Chromatography (HPLC); LATITUDE; LONGITUDE; Lutein; M91; M91_1713-1; M91_1713-3; M91_1719-1; M91_1721-3; M91_1724-3; M91_1725-3; M91_1727-1; M91_1729-1; M91_1731-1; M91_1733-1; M91_1733-13; M91_1736-3; M91_1737-1; M91_1737-3; M91_1739-3; M91_1741-1; M91_1743-1; M91_1744-1; M91_1745-1; M91_1746-1; M91_1747-1; M91_1748-1; M91_1749-1; M91_1750-1; M91_1751-3; M91_1752-8; M91_1754-1; M91_1755-4; M91_1756-1; M91_1759-1; M91_1760-1; M91_1762-2; M91_1763-1; M91_1764-8; M91_1765-1; M91_1766-3; M91_1769-1; M91_1770-4; M91_1771-1; M91_1774-3; M91_1775-3; M91_1777-12; M91_1777-4; M91_1777-7; M91_1778-1; M91-track; Meteor (1986); Mg-2,4-divinyl pheoporphyrin a5 monomethyl ester; Neoxanthin; Peridinin; Phaeophorbide a; Pheophytin a; Pheophytin b; Pyropheophorbide a; Pyropheophytin a; Sample code/label; South Pacific Ocean; Underway cruise track measurements; Violaxanthin; Zeaxanthin  (1)
Document type
Keywords
Publisher
Years
  • 1
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    PANGAEA
    In:  Supplement to: Wannicke, Nicola; Endres, Sonja; Engel, Anja; Grossart, Hans-Peter; Unger, Juliane; Voss, Maren (2012): Response of Nodularia spumigena to pCO2 - Part 1: Growth, production and nitrogen cycling. Biogeosciences, 9(8), 2973-2988, https://doi.org/10.5194/bg-9-2973-2012
    Publication Date: 2023-05-12
    Description: Heterocystous cyanobacteria of the genus Nodularia form extensive blooms in the Baltic Sea and contribute substantially to the total annual primary production. Moreover, they dispense a large fraction of new nitrogen to the ecosystem when inorganic nitrogen concentration in summer is low. Thus, it is of ecological importance to know how Nodularia will react to future environmental changes, in particular to increasing carbon dioxide (CO2) concentrations and what consequences there might arise for cycling of organic matter in the Baltic Sea. Here, we determined carbon (C) and dinitrogen (N2) fixation rates, growth, elemental stoichiometry of particulate organic matter and nitrogen turnover in batch cultures of the heterocystous cyanobacterium Nodularia spumigena under low (median 315 µatm), mid (median 353 µatm), and high (median 548 µatm) CO2 concentrations. Our results demonstrate an overall stimulating effect of rising pCO2 on C and N2 fixation, as well as on cell growth. An increase in pCO2 during incubation days 0 to 9 resulted in an elevation in growth rate by 84 ± 38% (low vs. high pCO2) and 40 ± 25% (mid vs. high pCO2), as well as in N2 fixation by 93 ± 35% and 38 ± 1%, respectively. C uptake rates showed high standard deviations within treatments and in between sampling days. Nevertheless, C fixation in the high pCO2 treatment was elevated compared to the other two treatments by 97% (high vs. low) and 44% (high vs. mid) at day 0 and day 3, but this effect diminished afterwards. Additionally, elevation in carbon to nitrogen and nitrogen to phosphorus ratios of the particulate biomass formed (POC : POP and PON : POP) was observed at high pCO2. Our findings suggest that rising pCO2 stimulates the growth of heterocystous diazotrophic cyanobacteria, in a similar way as reported for the non-heterocystous diazotroph Trichodesmium. Implications for biogeochemical cycling and food web dynamics, as well as ecological and socio-economical aspects in the Baltic Sea are discussed.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Schulz, Kai Georg; Bellerby, Richard G J; Brussaard, Corina P D; Büdenbender, Jan; Czerny, Jan; Engel, Anja; Fischer, Matthias; Krug, Sebastian; Lischka, Silke; Koch-Klavsen, Stephanie; Ludwig, Andrea; Meyerhöfer, Michael; Nondal, G; Silyakova, Anna; Stuhr, Annegret; Riebesell, Ulf (2013): Temporal biomass dynamics of an Arctic plankton bloom in response to increasing levels of atmospheric carbon dioxide. Biogeosciences, 10(1), 161-180, https://doi.org/10.5194/bg-10-161-2013
    Publication Date: 2023-10-21
    Description: Ocean acidification and carbonation, driven by anthropogenic emissions of carbon dioxide (CO2), have been shown to affect a variety of marine organisms and are likely to change ecosystem functioning. High latitudes, especially the Arctic, will be the first to encounter profound changes in carbonate chemistry speciation at a large scale, namely the under-saturation of surface waters with respect to aragonite, a calcium carbonate polymorph produced by several organisms in this region. During a CO2 perturbation study in 2010, in the framework of the EU-funded project EPOCA, the temporal dynamics of a plankton bloom was followed in nine mesocosms, manipulated for CO2 levels ranging initially from about 185 to 1420 matm. Dissolved inorganic nutrients were added halfway through the experiment. Autotrophic biomass, as identified by chlorophyll a standing stocks (Chl a), peaked three times in all mesocosms. However, while absolute Chl a concentrations were similar in all mesocosms during the first phase of the experiment, higher autotrophic biomass was measured at high in comparison to low CO2 during the second phase, right after dissolved inorganic nutrient addition. This trend then reversed in the third phase. There were several statistically significant CO2 effects on a variety of parameters measured in certain phases, such as nutrient utilization, standing stocks of particulate organic matter, and phytoplankton species composition. Interestingly, CO2 effects developed slowly but steadily, becoming more and more statistically significant with time. The observed CO2 related shifts in nutrient flow into different phytoplankton groups (mainly diatoms, dinoflagellates, prasinophytes and haptophytes) could have consequences for future organic matter flow to higher trophic levels and export production, with consequences for ecosystem productivity and atmospheric CO2.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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  • 3
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    PANGAEA
    In:  Supplement to: Sun, Cui-Ci; Sperling, Martin; Engel, Anja (2018): Effect of wind speed on the size distribution of gel particles in the sea surface microlayer: insights from a wind–wave channel experiment. Biogeosciences, 15(11), 3577-3589, https://doi.org/10.5194/bg-15-3577-2018
    Publication Date: 2024-02-01
    Description: Gel particles, such as transparent exopolymer particles (TEP) and Coomassie stainable particles (CSP), are important organic components in the sea surface microlayer (SML). Here, we present results on the effect of different wind speeds on the accumulation and size distribution of TEP and CSP during a wind wave channel experiment in the Aeolotron. Total areas of TEP (TEPSML) and CSP (CSPSML) in the surface microlayer were exponentially related to wind speed. At wind speeds 〈 6 m s−1, accumulation of TEPSML and CSPSML occurred, decreasing at wind speeds of 〉 8 m s−1. Wind speeds 〉 8 m s−1 also significantly altered the size distribution of TEPSML in the 2–16 µm size range towards smaller sizes. The response of the CSPSML size distribution to wind speed varied through time depending on the biogenic source of gels. Wind speeds 〉 8 m s−1 decreased the slope of CSPSML size distribution significantly in the absence of autotrophic growth. For the slopes of TEP and CSP size distribution in the bulk water, no significant difference was observed between high and low wind speeds. Changes in spectral slopes between high and low wind speed were higher for TEPSML than for CSPSML, indicating that the impact of wind speed on size distribution of gel particles in the SML may be more pronounced for TEP than for CSP, and that CSPSML are less prone to aggregation during the low wind speeds. Addition of an E. huxleyi culture resulted in a higher contribution of submicron gels (0.4–1 µm) in the SML at higher wind speed (〉 6 m s−1), indicating that phytoplankton growth may potentially support the emission of submicron gels with sea spray aerosol.
    Keywords: SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: Dataset
    Format: application/zip, 8 datasets
    Location Call Number Limitation Availability
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  • 4
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    PANGAEA
    In:  Supplement to: Hepach, Helmke; Quack, Birgit; Tegtmeier, Susann; Engel, Anja; Bracher, Astrid; Fuhlbrügge, Steffen; Galgani, Luisa; Atlas, Elliot L; Lampel, Johannes; Frieß, Udo; Krüger, Kirstin (2016): Biogenic halocarbons from the Peruvian upwelling region as tropospheric halogen source. Atmospheric Chemistry and Physics, 16(18), 12219-12237, https://doi.org/10.5194/acp-16-12219-2016
    Publication Date: 2024-02-01
    Description: Halocarbons, halogenated short-chained hydrocarbons, are produced naturally in the oceans by biological and chemical processes. They are emitted from surface seawater into the atmosphere, where they take part in numerous chemical processes such as ozone destruction and the oxidation of mercury and dimethyl sulfide. Here we present oceanic and atmospheric halocarbon data for the Peruvian upwelling obtained during the M91 cruise onboard the research vessel Meteor in December 2012. Surface waters during the cruise were characterized by moderate concentrations of bromoform (CHBr3) and dibromomethane (CH2Br2) correlating with diatom biomass derived from marker pigment concentrations, which suggests this phytoplankton group as likely source. Concentrations measured for the iodinated compounds methyl iodide (CH3I) of up to 35.4 pmol L-1, chloroiodomethane (CH2ClI) of up to 58.1 pmol L-1 and diiodomethane (CH2I2) of up to 32.4 pmol L-1 in water samples were much higher than previously reported for the tropical Atlantic upwelling systems. Iodocarbons also correlated with the diatom biomass and even more significantly with dissolved organic matter (DOM) components measured in the surface water. Our results suggest a biological source of these compounds as significant driving factor for the observed large iodocarbon concentrations. Elevated atmospheric mixing ratios of CH3I (up to 3.2 ppt), CH2ClI (up to 2.5 ppt) and CH2I2 (3.3 ppt) above the upwelling were correlated with seawater concentrations and high sea-to-air fluxes. The enhanced iodocarbon production in the Peruvian upwelling contributed significantly to tropospheric iodine levels.
    Keywords: SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 5
    facet.materialart.
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    PANGAEA
    In:  Supplement to: Engel, Anja; Galgani, Luisa (2016): The organic sea-surface microlayer in the upwelling region off the coast of Peru and potential implications for air–sea exchange processes. Biogeosciences, 13(4), 989-1007, https://doi.org/10.5194/bg-13-989-2016
    Publication Date: 2024-02-01
    Description: The sea-surface microlayer (SML) is at the upper- most surface of the ocean, linking the hydrosphere with the atmosphere. The presence and enrichment of organic compounds in the SML have been suggested to influence air– sea gas exchange processes as well as the emission of primary organic aerosols. Here, we report on organic matter components collected from an approximately 50µm thick SML and from the underlying water (ULW), ca. 20 cm below the SML, in December 2012 during the SOPRAN METEOR 91 cruise to the highly productive, coastal upwelling regime off the coast of Peru. Samples were collected at 37 stations including coastal upwelling sites and off-shore stations with less organic matter and were analyzed for total and dissolved high molecular weight (〉 1 kDa) combined carbohydrates (TCCHO, DCCHO), free amino acids (FAA), total and dissolved hydrolyzable amino acids (THAA, DHAA), transparent exopolymer particles (TEP), Coomassie stainable particles (CSPs), total and dissolved organic carbon (TOC, DOC), total and dissolved nitrogen (TN, TDN), as well as bacterial and phytoplankton abundance. Our results showed a close coupling between organic matter concentrations in the water column and in the SML for almost all components except for FAA and DHAA that showed highest enrichment in the SML on average. Accumulation of gel particles (i.e., TEP and CSP) in the SML differed spatially. While CSP abundance in the SML was not related to wind speed, TEP abundance decreased with wind speed, leading to a depletion of TEP in the SML at about 5 m s-1 . Our study provides insight to the physical and biological control of organic matter enrichment in the SML, and discusses the potential role of organic matter in the SML for air–sea exchange processes.
    Keywords: SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-06-25
    Keywords: 19-Butanoyloxyfucoxanthin; 19-Hexanoyloxyfucoxanthin; Alloxanthin; alpha-Carotene, beta,epsilon-Carotene; Antheraxanthin; Astaxanthin; beta-Carotene, beta,beta-Carotene; Chlorophyll a; Chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; CT; CTD/Rosette; CTD-002; CTD-003; CTD-010; CTD-013; CTD-017; CTD-019; CTD-021; CTD-024; CTD-026; CTD-028; CTD-030; CTD-034; CTD-035; CTD-036; CTD-039; CTD-041; CTD-043; CTD-044; CTD-045; CTD-046; CTD-047; CTD-048; CTD-049; CTD-050; CTD-052; CTD-055; CTD-058; CTD-060; CTD-061; CTD-064; CTD-065; CTD-067; CTD-068; CTD-071; CTD-073; CTD-075; CTD-080; CTD-082; CTD-083; CTD-088; CTD-090; CTD-094; CTD-095; CTD-096; CTD-097; CTD-RO; DATE/TIME; DEPTH, water; Diadinoxanthin; Diatoxanthin; Dinoxanthin; Divinyl chlorophyll a; Divinyl chlorophyll b; Event label; Fucoxanthin; Gear; High Performance Liquid Chromatography (HPLC); LATITUDE; LONGITUDE; Lutein; M91; M91_1713-1; M91_1713-3; M91_1719-1; M91_1721-3; M91_1724-3; M91_1725-3; M91_1727-1; M91_1729-1; M91_1731-1; M91_1733-1; M91_1733-13; M91_1736-3; M91_1737-1; M91_1737-3; M91_1739-3; M91_1741-1; M91_1743-1; M91_1744-1; M91_1745-1; M91_1746-1; M91_1747-1; M91_1748-1; M91_1749-1; M91_1750-1; M91_1751-3; M91_1752-8; M91_1754-1; M91_1755-4; M91_1756-1; M91_1759-1; M91_1760-1; M91_1762-2; M91_1763-1; M91_1764-8; M91_1765-1; M91_1766-3; M91_1769-1; M91_1770-4; M91_1771-1; M91_1774-3; M91_1775-3; M91_1777-12; M91_1777-4; M91_1777-7; M91_1778-1; M91-track; Meteor (1986); Mg-2,4-divinyl pheoporphyrin a5 monomethyl ester; Neoxanthin; Peridinin; Phaeophorbide a; Pheophytin a; Pheophytin b; Pyropheophorbide a; Pyropheophytin a; Sample code/label; South Pacific Ocean; Underway cruise track measurements; Violaxanthin; Zeaxanthin
    Type: Dataset
    Format: text/tab-separated-values, 7378 data points
    Location Call Number Limitation Availability
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