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  • 2020-2024  (7)
Document type
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Year
  • 1
    Online Resource
    Online Resource
    Mathematik der Pandemie. (2022)
    Berlin, Heidelberg :Springer Berlin / Heidelberg,
    Details
    Keywords: Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (127 pages)
    Edition: 1st ed.
    ISBN: 9783662648131
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=7073113
    Language: German
    Location Call Number Limitation Availability
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    GEOMAR EBL
  • 2
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    Microbial diversity through an oceanographic lens: refining the concept of ocean provinces through trophic‐level analysis and productivity‐specific length scales (2022)
    Wiley
    Details
    Publication Date: 2024-02-07
    Description: In the marine realm, microorganisms are responsible for the bulk of primary production, thereby sustaining marine life across all trophic levels. Longhurst provinces have distinct microbial fingerprints; however, little is known about how microbial diversity and primary productivity change at finer spatial scales. Here, we sampled the Atlantic Ocean from south to north (~50°S–50°N), every ~0.5° latitude. We conducted measurements of primary productivity, chlorophyll-a and relative abundance of 16S and 18S rRNA genes, alongside analyses of the physicochemical and hydrographic environment. We analysed the diversity of autotrophs, mixotrophs and heterotrophs, and noted distinct patterns among these guilds across provinces with high and low chlorophyll-a conditions. Eukaryotic autotrophs and prokaryotic heterotrophs showed a shared inter-province diversity pattern, distinct from the diversity pattern shared by mixotrophs, cyanobacteria and eukaryotic heterotrophs. Additionally, we calculated samplewise productivity-specific length scales, the potential horizontal displacement of microbial communities by surface currents to an intrinsic biological rate (here, specific primary productivity). This scale provides key context for our trophically disaggregated diversity analysis that we could relate to underlying oceanographic features. We integrate this element to provide more nuanced insights into the mosaic-like nature of microbial provincialism, linking diversity patterns to oceanographic transport through primary production.
    Type: Article , PeerReviewed
    Format: text
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    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 3
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    Seawater carbonate chemistry and carbonate chemistry in the microenvironment within cyanobacterial aggregates (2021)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Description: Photosynthesis and respiration cause distinct chemical microenvironments within cyanobacterial aggregates. Here, we used microsensors and a diffusion–reaction model to characterize gradients in carbonate chemistry and investigate how these are affected by ocean acidification in Baltic vs. Pacific aggregates (Nodularia and Dolichospermum vs. Trichodesmium). Microsensor measurements of O2 and pH were performed under in situ and expected future pCO2 levels on Nodularia and Dolichospermum aggregates collected in the Baltic Sea. Under in situ conditions, O2 and pH levels within the aggregates covered ranges of 80–175% air saturation and 7.7–9.4 in dark and light, respectively. Carbon uptake in the light was predicted to reduce HCO3− by 100–150 μmol/L and CO2 by 3–6 μmol/L in the aggregate center compared to outside, inducing strong CO2 depletion (down to 0.5 μmol/L CO2 remaining in the center) even when assuming that HCO3− covered 80–90% of carbon uptake. Under ocean acidification conditions, enhanced CO2 availability allowed for significantly lower activity of carbon concentrating mechanisms, including a reduction of the contribution of HCO3− to carbon uptake by up to a factor of 10. The magnification of proton gradients under elevated pCO2 that was predicted based on a lower buffer capacity was observed in measurements despite a concurrent decrease in photosynthetic activity. In summary, we provide a quantitative image of the inorganic carbon environment in cyanobacterial aggregates under present-day and expected future conditions, considering both the individual and combined effects of the chemical and biological processes that shape these environments.
    Keywords: Acid-base regulation; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bacteria; Baltic Sea; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Colorimetric; Cyanobacteria; Dolichospermum sp.; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Heterotrophic prokaryotes; Hydrogen ion concentration; Hydrogen ion concentration, standard deviation; Identification; Laboratory experiment; Light mode; Nodularia spumigena; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Oxygen, standard deviation; Oxygen evolution; Oxygen evolution, standard deviation; Oxygen evolution per individual; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Potentiometric; Potentiometric titration; Ratio; Registration number of species; Respiration; Salinity; Single species; Species; station_B1; Temperate; Temperature, water; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1101 data points
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    DATA PANGAEA
  • 4
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    Concentrations of chlorophyll a, phaeopigments, and particulate matter during the iron fertilization experiment EIFEX in 2004 (2023)
    PANGAEA
    Details
    Publication Date: 2024-05-11
    Description: Here we present concentrations of chlorophyll a, phaeopigments, particulate organic carbon and nitrogen from water samples collected at discrete depths with a CTD-rosette during the European Iron Fertilization Experiment (EIFEX). The experiment was carried out from February 11 to March 20, 2004 in the 60-km diameter, rotating core of an eddy, formed by a meander of the Antarctic Polar Front (centred at around 49°10' S and 2°10' E). Samples were taken within the eddy inside and outside the fertilized patch, and in a few cases outside the eddy.Chlorophyll concentrations were determined by fluorometry using a Turner Design Model 10-AU digital fluorometer. Sampling, measurements and calibration of the fluorometer was carried out following the JGOFS protocol procedure (Knap et al, 1996). Results of the fluorometer calibration diverged by 5% between beginning and end of the cruise. Chlorophyll a content was calculated using average parameter values from the two calibrations. Measurement uncertainty was estimated from triplicate water samples taken from depths ranging between 10 and 100 m depth and averaged 5% of measured values. Samples for particulate organic carbon and nitrogen (POC and PON) were filtered onto precombusted Whatman GF/F filters and processed following recommendations by Lorrain et al. (2003). Samples were measured independently on three different analysers: a CN2500 CHN Analyser (Thermo Finnigan MAT) coupled to a Delta+ mass spectrometer (Thermo Finnigan MAT) via Conflo II interface (Thermo Finnigan MAT), a Carlo-Erba NA-1500 Series II elemental analyzer coupled to a Finnegan Delta+ mass spectrometer and a Euro EA Elemental Analyser. Differences due to methods were within the range of measurement variability (below 2%). The particulate organic phosphorus (POP) content was determined colorimetrically using the method from Hansen and Koroleff (1999; measurement variability 4%). Biogenic silica (BSi) was measured following the wet alkaline digestion method according to Müller and Schneider (1993; measurement variability 2%).
    Keywords: ANT XXI/3; ANT-XXI/3; Biogenic silica; Carbon, organic, particulate; Cast number; Chlorophyll a; Colorimetry according to Hansen and Koroleff (1999); CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; dissolved in organic carbon (DIC); Dissolved Organic Matter; Duration, number of days; Elemental analyzer; Decarbonation and preservation method according to Lorrain et al. (2003); Event label; Fluorometer, Turner Designs, 10-AU; According to Knap et al. (1996); LATITUDE; LONGITUDE; Nitrogen, organic, particulate; particulate organic matter; Phaeopigments; Phosphorus, organic, particulate; Polarstern; Position; PS65/424-3; PS65/426-1; PS65/427-1; PS65/452-1; PS65/464-1; PS65/466-2; PS65/470-1; PS65/474-1; PS65/508-2; PS65/509-1; PS65/511-1; PS65/513-3; PS65/514-2; PS65/515-1; PS65/516-1; PS65/518-1; PS65/519-1; PS65/520-1; PS65/521-1; PS65/522-1; PS65/523-1; PS65/524-1; PS65/525-1; PS65/526-1; PS65/527-1; PS65/528-1; PS65/529-1; PS65/530-1; PS65/533-1; PS65/534-1; PS65/535-1; PS65/536-1; PS65/537-1; PS65/538-1; PS65/539-1; PS65/540-1; PS65/541-1; PS65/543-10; PS65/544-11; PS65/544-14; PS65/544-15; PS65/544-18; PS65/544-20; PS65/544-24; PS65/544-26; PS65/544-29; PS65/544-3; PS65/544-32; PS65/544-35; PS65/544-42; PS65/544-48; PS65/544-5; PS65/544-53; PS65/544-56; PS65/544-7; PS65/544-9; PS65/545-1; PS65/546-2; PS65/553-3; PS65/555-1; PS65/556-1; PS65/557-1; PS65/558-1; PS65/559-1; PS65/560-2; PS65/561-1; PS65/562-2; PS65/563-1; PS65/564-1; PS65/565-1; PS65/570-4; PS65/572-1; PS65/573-1; PS65/580-2; PS65/581-1; PS65/586-3; PS65/587-1; PS65/588-1; PS65/591-1; PS65/592-1; PS65/593-3; PS65 EIFEX; South Atlantic Ocean; Station label; Wet alkaline digestion method according to Müller and Schneider (1993)
    Type: Dataset
    Format: text/tab-separated-values, 5554 data points
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    DATA PANGAEA
  • 5
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    Results of a 24-hour laboratory experiment sampling cell concentrations, particulate organic carbon (POC), particulate inorganic carbon (PIC) and further cell parameters of the coccolithophore Emiliania huxleyi grown under a 16:8 h light/dark cycle (2020)
    PANGAEA
    Details
    Publication Date: 2024-06-12
    Description: Cell division of the coccolithophore Emiliania huxleyi and other phytoplankton typically becomes entrained to diel light/dark cycles under laboratory conditions, with division occurring primarily during dark phases and production occurring during light phases. Under these conditions, the increase in a culture's cell and biomass concentrations deviates from an exponential function on time scales 〈 24 h. We here present a dataset of short-term changes in cell and biomass concentrations of fast dividing, dilute-batch cultures of E. huxleyi grown under a 16:8 h light/dark cycle. This dataset was used to derive linear models describing the diel course in the concentrations of cells, particulate organic carbon (POC) and particulate inorganic carbon (PIC) and for the calculation of daily means of cellular quotas and production rates in Kottmeier et al. (2020). We also present the given seawater carbonate chemistry as well as cellular quotas of particulate organic nitrogen (PON) and chlorophyll a (Chl. a), and the ratios of PIC:POC, POC:PON, POC:cell volume and Chl. a:POC in the course of the 24 h sampling period.
    Keywords: 1; Alkalinity, potentiometric; Alkalinity, total; Alkalinity, total, standard deviation; Calculated using CO2SYS; Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, relative concentration; Carbon, organic, particulate; Carbon, organic, particulate, per cell; Carbon, organic, particulate, relative concentration; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Cell concentration, relative; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a per cell; Colorimetric autoanalysis; Consumption of carbon, inorganic, dissolved, standard deviation; Coulter counter, Beckman Coulter, Multisizer 3; Elemental analyzer, EuroVector, EA 3000; Exponential growth; Fluorometer, Turner Design, TD-700; Growth rate; Growth rate, standard deviation; Hand net; HN; Identification; Irradiance; Light/dark cycles; Light meter; LM; Nitrogen, organic, particulate, per cell; Particulate inorganic carbon/particulate organic carbon ratio; pH; pH, standard deviation; Phase; Phased cell division; PIC production; POC production; Potentiometric; Registration number of species; Salinity; SALINO; Salinometer; SO136; SO136_006-A_HPN; Sonne; Species; Stage; Strain; TASQWA; Temperature, water; Temperature sensor; Time in hours; Treatment: light:dark cycle; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1983 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Dissolved and particulate iron redox speciation during the LOHAFEX fertilization experiment (2022)
    Elsevier
    In:  EPIC3Marine Pollution Bulletin, Elsevier, 184, pp. 114161-114161, ISSN: 0025-326X
    Details
    Publication Date: 2024-04-03
    Description: The redox speciation of iron was determined during the iron fertilization LOHAFEX and for the first time, the chemiluminescence assay of filtered and unfiltered samples was systematically compared. We hypothesize that higher chemiluminescence in unfiltered samples was caused by Fe(II) adsorbed onto biological particles. Dissolved and particulate Fe(II) increased in the mixed layer steadily 6-fold during the first two weeks and decreased back to initial levels by the end of LOHAFEX. Both Fe(II) forms did not show diel cycles downplaying the role of photoreduction. The chemiluminescence of unfiltered samples across the patch boundaries showed strong gradients, correlated significantly to biomass and the photosynthetic efficiency and were higher at night, indicative of a biological control. At 150 m deep, a secondary maximum of dissolved Fe(II) was associated with maxima of nitrite and ammonium despite high oxygen concentrations. We hypothesize that during LOHAFEX, iron redox speciation was mostly regulated by trophic interactions.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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  • 7
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    Microbial diversity through an oceanographic lens: refining the concept of ocean provinces through trophic-level analysis and productivity-specific length scales (2021)
    WILEY-BLACKWELL PUBLISHING
    In:  EPIC3Environmental Microbiology, WILEY-BLACKWELL PUBLISHING, ISSN: 1462-2920
    Details
    Publication Date: 2024-05-24
    Description: In the marine realm, microorganisms are responsible for the bulk of primary production, thereby sustaining marine life across all trophic levels. Longhurst provinces have distinct microbial fingerprints; however, little is known about how microbial diversity and primary productivity change at finer spatial scales. Here, we sampled the Atlantic Ocean from south to north (~50°S–50°N), every ~0.5° latitude. We conducted measurements of primary productivity, chlorophyll-a and relative abundance of 16S and 18S rRNA genes, alongside analyses of the physicochemical and hydrographic environment. We analysed the diversity of autotrophs, mixotrophs and heterotrophs, and noted distinct patterns among these guilds across provinces with high and low chlorophyll-a conditions. Eukaryotic autotrophs and prokaryotic heterotrophs showed a shared inter-province diversity pattern, distinct from the diversity pattern shared by mixotrophs, cyanobacteria and eukaryotic heterotrophs. Additionally, we calculated samplewise productivity-specific length scales, the potential horizontal displacement of microbial communities by surface currents to an intrinsic biological rate (here, specific primary productivity). This scale provides key context for our trophically disaggregated diversity analysis that we could relate to underlying oceanographic features. We integrate this element to provide more nuanced insights into the mosaic-like nature of microbial provincialism, linking diversity patterns to oceanographic transport through primary production.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
    Location Call Number Limitation Availability
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    PAPER (OA)
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