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  • 2020-2024  (18)
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  • 1
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (35 Seiten, 1,24 MB) , Illustrationen, Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 16LC1501G1 , Verbundnummer 01167126
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  • 2
    Publication Date: 2024-02-07
    Description: Our understanding of the small-scale processes that drive global biogeochemical cycles and the Earth’s climate is dependent on accurate estimations of interfacial diffusive fluxes to and from biologically-active substrates in aquatic environments. In this study, we present a novel model approach for accurate calculations of diffusive fluxes of dissolved gases, nutrients, and solutes from concentration profiles measured across the substrate-water interfaces using microsensors. The model offers a robust computational scheme for automatized determination of the interface position and enables precise calculations of the interfacial diffusive fluxes simultaneously. In contrast to other methods, the new approach is not restricted to any particular substrate geometry, does not require a priori determination of the interface position for the flux calculation, and, thus, reduces the uncertainties in calculated fluxes arising from partly subjective identification of the interface position. In addition, it is robust when applied to measured profiles containing scattered data points and insensitive to reasonable decreases of the spatial resolution of the data points. The latter feature allows for significantly reducing measurement time which is a crucial factor for in situ experiments.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 3
    Publication Date: 2024-02-07
    Description: Phytoplankton forms the base of aquatic food webs and element cycling in diverse aquatic systems. The fate of phytoplankton-derived organic matter, however, often remains unresolved as it is controlled by complex, interlinked remineralization and sedimentation processes. We here investigate a rarely considered control mechanism on sinking organic matter fluxes: fungal parasites infecting phytoplankton. We demonstrate that bacterial colonization is promoted 3.5-fold on fungal-infected phytoplankton cells in comparison to non-infected cells in a cultured model pathosystem (diatom Synedra, fungal microparasite Zygophlyctis, and co-growing bacteria), and even ≥17-fold in field-sampled populations (Planktothrix, Synedra, and Fragilaria). Additional data obtained using the Synedra–Zygophlyctis model system reveals that fungal infections reduce the formation of aggregates. Moreover, carbon respiration is 2-fold higher and settling velocities are 11–48% lower for similar-sized fungal-infected vs. non-infected aggregates. Our data imply that parasites can effectively control the fate of phytoplankton-derived organic matter on a single-cell to single-aggregate scale, potentially enhancing remineralization and reducing sedimentation in freshwater and coastal systems.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2023-08-09
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 5
    Publication Date: 2024-04-08
    Description: This paper was initiated by a multidisciplinary Topic Workshop in the frame of the Deutsche Forschungsgemeinschaft Priority Program 1158 “Antarctic Research with Comparative Investigations in Arctic Ice Areas”, and hence it represents only the national view without claiming to be complete but is intended to provide awareness and suggestions for the current discussion on so-called big data in many scientific fields. The importance of the polar regions and their essential role for the Earth system are both undoubtedly recognized. However, dramatic changes in the climate and environment have been observed first in the Arctic and later in Antarctica over the past few decades. While important data have been collected and observation networks have been built in Antarctica and the Southern Ocean, this is a relatively data-scarce region due to the challenges of remote data acquisition, expensive labor, and harsh environmental conditions. There are many approaches crossing multiple scientific disciplines to better understand Antarctic processes; to evaluate ongoing climatic and environmental changes and their manifold ecological, physical, chemical, and geological consequences; and to make (improved) predictions. Together, these approaches generate very large, multivariate data sets, which can be broadly classified as “Antarctic big data”. For these large data sets, there is a pressing need for improved data acquisition, curation, integration, service, and application to support fundamental scientific research. Based on deficiencies in crossing disciplines and to attract further interest in big data in Antarctic sciences, this article will (i) describe and evaluate the current status of big data in various Antarctic-related scientific disciplines, (ii) identify current gaps, (iii) and provide solutions to fill these gaps. How to cite. Graiff, A., Braun, M., Driemel, A., Ebbing, J., Grossart, H.-P., Harder, T., Hoffman, J. I., Koch, B., Leese, F., Piontek, J., Scheinert, M., Quillfeldt, P., Zimmermann, J., and Karsten, U.: Big data in Antarctic sciences – current status, gaps, and future perspectives, Polarforschung, 91, 45–57, https://doi.org/10.5194/polf-91-45-2023, 2023. Received: 19 Dec 2022 – Revised: 01 Aug 2023 – Accepted: 04 Aug 2023 – Published: 04 Sep 2023
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 6
    Publication Date: 2023-08-22
    Description: Lake sediment chronologies of ten lakes in northeastern Germany (Arendsee [AS], Carwitzer See [CR], Feldberger Haussee [FH], Breiter Luzin [BL], Schmaler Luzin [SL], Oberuckersee [OR], Scharmützelsee [PL], Stechlinsee [ST], Tiefwarensee [TF], Großer Wummsee [WM]) were created to reconstruct anthropogenic activity over the past 100 years starting from 2015 as the most present date. Collection of samples took place between 2015-07-10 and 2015-09-04 for all but one lake which was re-sampled in December 2016 (ST). Cores of lake sediments were collected using a gravity corer (90 mm diameter; UWITEC, Mondsee, Austria). Minimum length of the cores was 1 m. Cores were sliced immediately at the shore of each lake into 5 mm (lakes FH and BL) or 10 mm samples (all other lakes). Sliced cores were stored at 4 °C until arrival at the IGB laboratory at Lake Stechlin. There, they were weighed and then frozen at -20 °C for storage until further processing. Loss of ignition was determined using an electric muffle furnace (SNOL 8,2/1100, Utena, Lithuania). Dating of each sliced core horizon was performed by direct gamma assay of isotopes 210Pb and 137Cs of a freeze-dried subsample (1 g). Depending on the lake, a time span starting with the sampling year (i.e. 2015/2016) and reaching back to at least the 1950s and at most to pre-1900s was covered. Concentrations of elements (aluminium, arsenic, calcium, cadmium, cobalt, chromium, copper, iron, potassium, magnesium, manganese, molybdenum, sodium, nickel, phosphorus, lead, sulphur, zinc) were determined with microwave-assisted aqua-regia (MAE-AR) extraction in conjunction with inductively coupled plasma-optical emission spectrometry (ICP-OES). Concentrations of organic pesticides DDX (2,4'- and 4,4'- congeners of each dichlorodiphenyltrichloroethane [DDT], dichlorodiphenyldichloroethane [DDD] and dichlorodiphenyldichloroethylene [DDE]), hexachlorobenzene (HCB), HCHs (α-, β-, γ-, δ-hexachlorocyclohexane [HCH]) and trifluralin were extracted applying miniaturized solid-liquid extraction (MISOLEX; Simon et al. 2021, doi:10.1007/s11368-021-03080-0). Extracts were measured with solid-phase microextraction (SPME) and gas chromatography-mass spectrometry (GC-MS).
    Keywords: Accumulation rate per year; Age; AGE; alpha-Hexachlorocyclohexane; Aluminium; Anthropogenic impact; Arendsee; Arsenic; beta-Hexachlorocyclohexane; Brandenburg; Brandenburg, Germany; Breiter Luzin; Cadmium; Calcium; Carwitzer See; Chromium; chronology; Cobalt; Copper; delta-Hexachlorocyclohexane; DEPTH, sediment/rock; dichlorodiphenyldichloroethane (DDD); dichlorodiphenyldichloroethylene (DDE); dichlorodiphenyltrichloroethane (DDT); Dry mass; Dry mass, cumulative; Event label; Feldberger Haussee; gamma-Hexachlorocyclohexane; Gas chromatography - Mass spectrometry (GC-MS); GC; Germany; Gravity corer; Großer Wummsee; Hexachlorobenzene; hexachlorobenzene (HCB); hexachlorocyclohexane (HCH); Inductively Coupled Plasma - Optical Emission Spectrometry (ICP-OES); Iron; LCC-2015_AR; LCC-2015_BL; LCC-2015_CR; LCC-2015_FH; LCC-2015_OR; LCC-2015_PL; LCC-2015_SL; LCC-2015_TF; LCC-2015_WM; LCC-2016_ST; Lead; loss on ignition; Loss on ignition; Magnesium; Manganese; Mecklenburg-West Pomerania; Mecklenburg-West Pomerania, Germany; Molybdenum; Muffel furnace; Nickel; Oberuckersee; organochlorine pesticides (OCPs); ortho,para-Dichlorodiphenyldichloroethane; ortho,para-Dichlorodiphenyldichloroethylene; ortho,para-Dichlorodiphenyltrichloroethane; para,para-Dichlorodiphenyldichloroethane; para,para-Dichlorodiphenyldichloroethylene; para,para-Dichlorodiphenyltrichloroethane; Phosphorus; Potassium; Saxony-Anhalt; Saxony-Anhalt, Germany; Scharmützelsee; Schmaler Luzin; Sodium; Stechlinsee; Sulfur; Tiefwarensee; trace elements; trifluralin; Trifluralin; Zinc
    Type: Dataset
    Format: text/tab-separated-values, 7812 data points
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  • 7
    Publication Date: 2024-03-08
    Description: We simulated an experimental summer storm in large-volume (~1200 m3, ~16m depth) enclosures in Lake Stechlin by mixing deeper water masses from the meta- and hypolimnion into the mixed layer (epilimnion). The mixing included the disturbance of a deep chlorophyll maximum (DCM) which was present at the same time of the experiment in Lake Stechlin and situated in the metalimnion of each enclosure during filling. Copepod and Cladocera biomass was monitored for 42 days after the experimental disturbance event (Utermöhl counting at 60x magnification and biomass calculation from length-dry mass relationships). Sampling was performed using a 90 µm mesh size Apstein-cone.
    Keywords: ArcTrain; BIBS; Bridging in Biodiversity Science; Cladocera, biomass, wet mass; Climate change; Climate driven Changes in Biodiversity of Microbiota; Copepoda, biomass, wet mass; cyanobacteria; DATE/TIME; Day of experiment; DCM; DEPTH, water; Description; disturbance; enclosure; Enclosure experiment; Germany; lake; Lake_Stechlin; mesocosm; Mesocosm label; NITROLIMIT; Oxygen/Nitrogen ratio; Processes and impacts of climate change in the North Atlantic Ocean and the Canadian Arctic; See description in dataset comment; Stickstofflimitation in Binnengewässern; summer storm; TemBi; Treatment; Zooplankton; Zooplankton, biomass, wet mass
    Type: Dataset
    Format: text/tab-separated-values, 2220 data points
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  • 8
    Publication Date: 2024-03-22
    Description: We simulated an experimental summer storm in large-volume (~1200 m3, ~16m depth) enclosures in Lake Stechlin by mixing deeper water masses from the meta- and hypolimnion into the mixed layer (epilimnion). The mixing included the disturbance of a deep chlorophyll maximum (DCM) which was present at the same time of the experiment in Lake Stechlin and situated in the metalimnion of each enclosure during filling. Water physical variables and water chemistry was monitored for 42 days after the experimental disturbance event. Mixing disrupted the thermal stratification, increasing concentrations of dissolved nutrients and CO2 and changing light conditions in the epilimnion. Mixing, thus, stimulated phytoplankton growth, resulting in higher particulate matter concentrations of carbon, nitrogen and phosphorous.
    Keywords: Alkalinity, total; Ammonium; Ammonium molybdate reaction (FIASTAR 5000), (0.3 µm GF-75 prefiltered (Sterlitech)); BIBS; Bicarbonate ion; Bridging in Biodiversity Science; Calcium; Calcium carbonate; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, total, particulate; Carbonate ion; Carbon dioxide; Carbon dioxide, partial pressure; Chloride; Climate change; Climate driven Changes in Biodiversity of Microbiota; Conductivity, electrolytic; cyanobacteria; DATE/TIME; Day of experiment; DCM; DEPTH, water; Depth of Secchi Disk; Description; Difference derived from TPC and PIC; disturbance; ELTRA-800 (0.3 µm GF-75 filters (Sterlitech)); enclosure; Enclosure experiment; Flow-injection analyzer; Flow-injection analyzer (0.3 µm GF-75 prefiltered (Sterlitech)); Fugacity of carbon dioxide in seawater; Germany; High temperature combustion, infra-red detection (Shimadzu), (0.3 µm GF-75 prefiltered (Sterlitech)); Infralyt 50 (SAXON Junkalor GmbH), (0.3 µm GF-75 filters (Sterlitech)); Ion chromatography (Dionex), (0.3 µm GF-75 prefiltered (Sterlitech)); lake; Lake_Stechlin; Magnesium; mesocosm; Mesocosm label; Nitrate; Nitrite; Nitrogen, total; Nitrogen, total, particulate; Nitrogen, total dissolved; NITROLIMIT; Oxygen; Oxygen/Nitrogen ratio; Oxygen saturation; Oxygen sensor, YSI6560; PAR sensor Li-193SA, LI-COR Inc.; Peroxodisulfate oxidation method; Flow-injection analyzer; 0.3 µm GF-75 filters (Sterlitech); pH; Phosphorus, reactive soluble; Phosphorus, total; Phosphorus, total, particulate; Potassium; Pressure, technical; Radiation, photosynthetically active; SD; Secchi disk; Silicate, dissolved; Sodium; Stickstofflimitation in Binnengewässern; Sulfate; summer storm; TemBi; Temperature, air; Temperature, water; Titration; Treatment; Vaisala Weather station WXT520; water chemistry; water physics
    Type: Dataset
    Format: text/tab-separated-values, 10528 data points
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  • 9
    Publication Date: 2024-03-22
    Description: Water isotopes (δ2H and δ18O) were analyzed in samples collected in lakes associated to major riverine systems in northeastern Germany throughout 2020. This sub-dataset is derived from water samples collected from lake shores. Samples were taken in March and July 2020 with a pipette from 40-60 cm depth below water surface and directly transferred into a measurement vial. Stable isotope analysis was conducted at IGB Berlin, using a Picarro L2130-i cavity ring-down spectrometer. The data give information about the seasonal isotope amplitude in the sampled lakes and about spatial isotope variability in different branches of the associated riverine systems.
    Keywords: Breiter_Luzin; Breiter Luzin, Germany; Canower_See; Canower See, Germany; Cavity ring-down spectroscopy (CRDS), L21301i, Picarro Inc.; CONNECT; Connectivity and synchronization of lake ecosystems in space and time; Daemeritzsee; Dahme; Dahme, Germany; Dämeritzsee, Germany; DATE/TIME; DEPTH, water; Event label; Feldberger_Haussee; Feldberger Haussee, Germany; GEPRIS_418096356; Große_Krampe; Große Krampe, Germany; Großer_Priepertsee; Großer_See-Fürstenwerder; Großer Priepertsee, Germany; Großer See, Fürstenwerder, Germany; Havel; Influence of environmental factors onto the hydrogen isotopic signature of aquatic plants; Kleiner Müggelsee, Germany; Koelpinsee; Kölpinsee , Germany; Krewitzsee; Krewitzsee, Germany; Labussee; Labussee, Germany; Latitude of event; Longitude of event; Mellensee, Funkenhagen, Germany; Mellensee-Funkenhagen; Mueggelsee_a; Mueggelsee_b; Mueggelsee_inflow; Mueggelsee_outflow; Mueritz; Müggelsee, Germany; Müritz; Müritz, Germany; Oberrucker_See_Gr._Lanke; Oberrucker See (Gr. Lanke), Germany; Peetschsee; Peetschsee, Germany; Pipette; Raetzsee; Rätzsee, Germany; Schmaler_Luzin_a; Schmaler_Luzin_b; Schmaler Luzin, Germany; Schwarzer_See-Mirow; Schwarzer See, Mirow, Germany; Spree; Spree_a; Spree_b; Spree, Germany; Suckower_Haussee; Suckower Haussee, Germany; Ucker; Vilzsee; Vilzsee, Germany; Wrechener_See; Wrechener See, Germany; Zethnersee; Zethnersee, Germany; Zotzensee_a; Zotzensee_b; Zotzensee, Germany; δ18O; δ18O, water; δ18O, water, standard deviation; δ2H; δ Deuterium, water; δ Deuterium, water, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 204 data points
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  • 10
    Publication Date: 2024-03-08
    Description: We simulated an experimental summer storm in large-volume (~1200 m3, ~16m depth) enclosures in Lake Stechlin (https://www.lake-lab.de) by mixing deeper water masses from the meta- and hypolimnion into the mixed layer (epilimnion). The mixing included the disturbance of a deep chlorophyll maximum (DCM) which was present at the same time of the experiment in Lake Stechlin and situated in the metalimnion of each enclosure during filling. Size-fractionated Bacterial Protein Production (BPP) of particle associated (PA, 〉3.0 µm) and free-living bacteria (FL, 0.2-3.0 µm) (14C-Leu incorporation) as well as abundances of PA (microscopy of DAPI stained cells on 3.0 µm polycarbonate filters) and FL heterotrophic prokaryotes and picocyanobacteria (flow cytometry of SYBR green I stained cells) were monitored for 42 days after the experimental disturbance event. Mixing increased bacterial abundance and production about 3 weeks after mixing, which was associated to a mixing-induced stimulation of phytoplankton growth in the mixed enclosures compared to the controls. Simultaneously, decreased abundances of picocyanobacteria could be observed in mixed enclosures.
    Keywords: 14C-leucine incorporation; Bacterial abundance of HDNA-Bacteria; Bacterial abundance of LDNA-Bacteria; bacterial production; BIBS; Bridging in Biodiversity Science; chlorophyll; Climate change; Climate driven Changes in Biodiversity of Microbiota; cyanobacteria; DATE/TIME; Day of experiment; DCM; DEPTH, water; derived; Description; disturbance; enclosure experiment; Enclosure experiment; Epifluorescence microscopy after DAPI staining; Flow cytometry; Free-living bacterial abundance; Germany; lake; Lake_Stechlin; mesocosm experiment; Mesocosm label; NITROLIMIT; Nostocales biovolume; Nostocales cell abundance; Oxygen/Nitrogen ratio; Particle-associated bacterial abundance; Picocyanobacteria abundance; Protein production, free-living bacteria; Protein production, particle associated bacteria; Stickstofflimitation in Binnengewässern; summer storm; TemBi; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 2003 data points
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