GLORIA

GEOMAR Library Ocean Research Information Access

feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • 2020-2024  (18)
  • 2020-2022
  • 2022  (18)
  • 2022  (18)
Keywords
Language
Years
Year
  • 1
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (19 Seiten, 2,35 MB) , Illustrationen, Diagramme, Karten
    Language: German
    Note: Förderkennzeichen BMBF 03F0802A+B , Verbundnummer 01183326
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 2
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (17 Seiten, 11,74 MB) , Illustrationen, Diagramme
    Language: German , English
    Note: Förderkennzeichen BMBF 03F0802B , Verbundnummer 01183326 , Literaturverzeichnis: Seite 15 , Sprache der Kurzfassungen: Deutsch, Englisch
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2023-12-14
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The collection of zooplankton swimmers and sinkers in time‐series sediment traps provides unique insight into year‐round and interannual trends in zooplankton population dynamics. These samples are particularly valuable in remote and difficult to access areas such as the Arctic Ocean, where samples from the ice‐covered season are rare. In the present study, we investigated zooplankton composition based on swimmers and sinkers collected by sediment traps at water depths of 180–280, 800–1320, and 2320–2550 m, over a period of 16 yr (2000–2016) at the Long‐Term Ecological Research observatory HAUSGARTEN located in the eastern Fram Strait (79°N, 4°E). The time‐series data showed seasonal and interannual trends within the dominant zooplankton groups including copepoda, foraminifera, ostracoda, amphipoda, pteropoda, and chaetognatha. Amphipoda and copepoda dominated the abundance of swimmers while pteropoda and foraminifera were the most important sinkers. Although the seasonal occurrence of these groups was relatively consistent between years, there were notable interannual variations in abundance, suggesting the influence of various environmental conditions such as sea‐ice dynamic and lateral advection of water masses, for example, meltwater and Atlantic water. Statistical analyses revealed a correlation between the Arctic dipole climatic index and sea‐ice dynamics (i.e., ice coverage and concentration), as well as the importance of the distance from the ice edge on swimmer composition patterns and carbon export.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Federal Ministry of Education and Research (BMBF)
    Description: Helmholtz‐Gemeinschaft
    Keywords: ddc:577.7 ; eastern Fram Strait ; sea ice dynamics ; zooplankton population dynamics
    Language: English
    Type: doc-type:article
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2024-02-07
    Description: Seasonal variations in day length and temperature, in combination with dynamic factors such as advection from the North Atlantic, influence primary production and the microbial loop in the Fram Strait. Here, we investigated the seasonal variability of biopolymers, microbial abundance, and microbial composition within the upper 100 m during summer and fall. Flow cytometry revealed a shift in the autotrophic community from picoeukaryotes dominating in summer to a 34-fold increase of Synechococcus by fall. Furthermore, a significant decline in biopolymers concentrations covaried with increasing microbial diversity based on 16S rRNA gene sequencing along with a community shift towards fewer polymer-degrading genera in fall. The seasonal succession in the biopolymer pool and microbes indicates distinct metabolic regimes, with a higher relative abundance of polysaccharide-degrading genera in summer and a higher relative abundance of common taxa in fall. The parallel analysis of DOM and microbial diversity provides an important baseline for microbe-substrate relationships over the seasonal cycle in the Arctic Ocean.
    Type: Article , PeerReviewed
    Format: text
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2024-02-07
    Description: Critical questions exist regarding the abundance and, especially, the export of picophytoplankton (≤2 µm diameter) in the Arctic. These organisms can dominate chlorophyll concentrations in Arctic regions, which are subject to rapid change. The picoeukaryotic prasinophyte Micromonas grows in polar environments and appears to constitute a large, but variable, proportion of the phytoplankton in these waters. Here, we analyze 81 samples from the upper 100 m of the water column from the Fram Strait collected over multiple years (2009–2015). We also analyze sediment trap samples to examine picophytoplankton contributions to export, using both 18S rRNA gene qPCR and V1-V2 16S rRNA Illumina amplicon sequencing to assess the Micromonas abundance within the broader diversity of photosynthetic eukaryotes based on the phylogenetic placement of plastid-derived 16S amplicons. The material sequenced from the sediment traps in July and September 2010 showed that 11.2 ± 12.4% of plastid-derived amplicons are from picoplanktonic prasinophyte algae and other green lineage (Viridiplantae) members. In the traps, Micromonas dominated (83.6% ± 21.3%) in terms of the overall relative abundance of Viridiplantae amplicons, specifically the species Micromonas polaris. Temporal variations in Micromonas abundances quantified by qPCR were also observed, with higher abundances in the late-July traps and deeper traps. In the photic zone samples, four prasinophyte classes were detected in the amplicon data, with Micromonas again being the dominant prasinophyte, based on the relative abundance (89.4% ± 8.0%), but with two species (M. polaris and M. commoda-like) present. The quantitative PCR assessments showed that the photic zone samples with higher Micromonas abundances (〉1000 gene copies per mL) had significantly lower standing stocks of phosphate and nitrate, and a shallower average depth (20 m) than those with fewer Micromonas. This study shows that despite their size, prasinophyte picophytoplankton are exported to the deep sea, and that Micromonas is particularly important within this size fraction in Arctic marine ecosystems.
    Type: Article , PeerReviewed
    Format: text
    Format: archive
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2024-05-27
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii (Strain PS78) grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m-2 s-1) and CO2 partial pressures (pCO2; 400 vs. 1000 μatm). Before the experiments, the strain (isolated during Polarstern cruise PS78 in 2011) was kept as stock culture at 1° in 0.2 µm sterile-filtered Arctic seawater (Salinity 33), enriched with vitamins and trace metals according to F/2 medium (Guillard & Ryther, 1962). Nitrate and phosphate were added in concentrations of 100 and 6 µmol L-1, respectively. Experiments were conducted between May 2016 and September 2017 at the Alfred-Wegener-Institute, using standardized media and continuous light exposition. Next to acclimation parameters (growth rates, particulate and dissolved organic carbon and nitrogen, chlorophyll a content), we measured physiological processes in-vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry.
    Keywords: Alkalinity, total; Bottle incubation; calculated from carbonate chemistry using the CO2Sys Excel sheet (Pierrot, Lewis & Wallace, 2006); calculated from chlorophyll a (chl a) and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic nitrogen (PON) quota; calculated from particulate organic carbon (POC) and particulate organic nitrogen (PON) quota; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; Colorimetric detection, TRAACs continuous flow autoanalyzer, according to the method of Stoll et al. (2001); Coulter counter, Beckman Coulter, Multisizer 3; DATE/TIME; Electron transport rate, relative; Elemental analyzer, EuroVector, EuroEA; EXP; Experiment; Experimental treatment; Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012), raw data obtained using a membrane-inlet mass spectrometer (MIMS) as described in Kottmeier, Rokitta & Rost (2016); Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012); raw data obtained using a fast-repetition rate fluoremeter (FRRF), FastOcean PTX with FastAct Laboratory system, Chelsea Technologies after Oxborough et al. (201; Fluorometer, Turner Designs, TD-700, using acidification method (Knap et al., 1996); Fram Strait; Identification; Initial slope of the photosynthesis-irradiance curve; Initial slope of the photosynthesis-irradiance curve, relative electron transfer rate per unit light; Light; Light acclimation index; Maximum photosynthesis rate, oxygen, per chlorophyll a; model simulation; pCO2; pCO2 mixed from CO2-free air and pure CO2 with a custom built gas mixing system; pH; pH 826 mobile handheld device, with Aquatrode Plus, Metrohm; Phaeocystis_pouchetii_PS78; Phaeocystis pouchetii; Phaeocystis pouchetii, carbon, organic, particulate/nitrogen, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a/carbon, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a quota per cell; Phaeocystis pouchetii, growth rate; Phaeocystis pouchetii, particulate organic carbon production per cell; Phaeocystis pouchetii, particulate organic carbon quota per cell; Phaeocystis pouchetii, particulate organic nitrogen production per cell; Phaeocystis pouchetii, particulate organic nitrogen quota per cell; Phytoplankton; RCP8.5; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Temperature, water; Thermometer, internal, Aquatrode Plus, Metrohm; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study; Universal light meter & data logger, WALZ, ULM-500, with 4Pi sensor, LI-COR
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 7
    Publication Date: 2024-06-26
    Description: The discrete biogeochemical measurements from RV Maria S. Merian MSM77 sampled for organic matter, primary production and phytoplankton abundances. The parameters include POC, phytoplankton abundances and production. The samples were acquired within 0-100 m of the Greenland Sea between 78°N to 80°N and 3°E to 10°E. The data was collected daily on board MSM77 from 16th September 2018-4th October 2018. The water collection occurred using a CTD and laboratory methods varied by parameter. POC was analyzed using a EURO EA CHNS-O Elemental Analyzer, carbohydrates were analyzed using High performance anion exchange chromatography with pulsed amperometric detection, amino acids were analyzed using High Performance Liquid Chromatography (HPLC) ortho-phthaldialdehyde derivatization, rates of primary production (PP) were measured in situ using the 14C method and subsampled as total PP (PP-TOC), particulate PP (PP-POC), and dissolved PP (PP-DOC), cell abundances were measured using orange and red autofluorescence detected by flow cytometry. The purpose of data collection was to understand seasonal cycling of organic mater.
    Keywords: Alkalinity, total; Amino acids, dissolved hydrolyzable; Arctic; Carbohydrates, dissolved combined; Carbon, inorganic, dissolved; Carbon, organic, particulate; Cryptophytes; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Element analyser (EA); Event label; FACSCalibur flow-cytometer (Becton Dickinson); FRAM; FRontiers in Arctic marine Monitoring; Greenland Sea; Hausgarten; High Performance anion-exchange chromatography; High Performance Liquid Chromatography (HPLC); Incubation duration; Incubation temperature; LATITUDE; LONGITUDE; Long-term Investigation at AWI-Hausgarten off Svalbard; Maria S. Merian; Micro-ARC; MSM77; MSM77_13-1; MSM77_17-1; MSM77_22-1; MSM77_3-1; MSM77_4-3; MSM77_52-1; MSM77_53-3; MSM77_54-1; Nanophytoplankton; Particulate organic carbon; pH; pH meter (Metrohm, 826 pH mobile); Picophytoplankton; primary production; Primary production of carbon, dissolved; Primary production of carbon, particulate; Primary production of carbon, total; Sample code/label; Station label; Synechococcus; Titration analyzer, Schott Instruments, TitroLine alpha plus; Treatment; Understanding the links between pelagic microbial ecosystems and organic matter cycling in the changing Arctic (μARC)
    Type: Dataset
    Format: text/tab-separated-values, 640 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 8
    Publication Date: 2024-07-01
    Description: Time-series data of physical & biological oceanography, nutrient biogeochemistry and molecular biology were obtained from mooring F4-W-2 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of one Seabird SBE37 microcat (nominal depths: 249m; sampling interval 1h), one Satlantics SUNA nitrate sensor (nominal depth: 249m; sampling interval 6h), one Sunburst SAMI-pCO2 sensor (nominal depth: 249m; sampling interval 2h) and one Sunburst SAMI-pH sensor (nominal depth: 249m; sampling interval 3h). The mooring also included a McLane RAS water sampler (nominal depth: 249m). The profiling SBE19plus system that was operated on the NGK winch (nominal depth: 153m) was lost. Additionally, the available data could not be downloaded from the main controller due to a corrupt SD card. Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; F4-W-2; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; Physical Oceanography @ AWI; Polarstern; PS121; PS121_13-3; PS121_13-3,PS126_9-4; PS126; PS126_9-4
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 9
    Publication Date: 2024-07-01
    Description: Time-series data of physical oceanography, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring F4-S-3 in the Fram Strait in July 2018 - August 2019 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of two Seabird SBE37 microcats (nominal depths: 16m, 21m, 47m; sampling interval 1h), one Seabird SBE56 temperature logger (nominal depth: 38m; sampling interval: 30s), one Wetlabs ECO PAR sensor (nominal depth: 21m; sampling interval 2h), one Wetlabs ECO Triplet fluorometer (nominal depth: 21m; sampling interval 2h), one Satlantics SUNA nitrate sensor (nominal depth: 21m; sampling interval 6h), one Sunburst SAMI-pCO2 sensor (nominal depth: 21m; sampling interval 2h) and one Sunburst SAMI-pH sensor (nominal depth: 21m; sampling interval 3h). The mooring also included a McLane RAS water sampler (nominal depth: 21m), a McLane PPS phytoplankton sampler (nominal depth: 23m) and two sediment traps (nominal depths: 204m, 613m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; F4-S-4; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS121; PS121_13-2; PS121_13-2,PS126_9-2; PS126; PS126_9-2
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
  • 10
    Publication Date: 2024-07-01
    Description: Time-series data of physical & biological oceanography, ocean current velocities, nutrient biogeochemistry, molecular biology and carbon/particle export were obtained from mooring HG-EGC-6 in the Fram Strait in August 2019 - June 2021 as part of the Helmholtz infrastructure program Frontiers in Arctic Marine Monitoring (FRAM) and the long-term monitoring program at AWI HAUSGARTEN. The mooring was deployed during RV POLARSTERN expedition PS121, and recovered during PS126. The attached archive contains raw data files of three Seabird SBE37 microcats (nominal depths: 67m, 236m, 453m; sampling interval 1h), three AADI RCM11 current meters (nominal depths: 74m, 243m, 456m; sampling interval 1h), one AADI Seaguard current meter (nominal depth: 981m, sampling interval 1h), one Wetlabs ECO PAR sensor (nominal depth: 67m; sampling interval 2h), one Wetlabs ECO Triplet fluorometer (nominal depth: 67m; sampling interval 2h), two Satlantic SUNA nitrate sensors (nominal depths: 67m, 236m; sampling interval 6h), two Sunburst SAMI-pCO2 sensors (nominal depths: 67m, 236m; sampling interval 2h) and two Sunburst SAMI-pH sensors (nominal depths: 67m, 236m; sampling interval 3h). The mooring also included two McLane RAS water samplers (nominal depths: 67m, 236m) and two sediment traps (nominal depths: 449m, 522m). Auxiliary information such as sensor calibration sheets, mooring diagrams and schedule files are also provided, if applicable.
    Keywords: Arctic Ocean; AWI_PhyOce; Binary Object; Binary Object (File Size); CTD; current velocity; File content; FRAM; Fram Strait; FRontiers in Arctic marine Monitoring; GPF 20-1_021; Hausgarten; HG-EGC-6; Long-term Investigation at AWI-Hausgarten off Svalbard; molecular biology; MOOR; Mooring; North Greenland Sea; nutrient biogeochemistry; oceanographic moorings; oceanographic time series; particle export; Physical Oceanography @ AWI; Polarstern; PS121; PS121_31-3; PS121_31-3,PS126_21-4; PS126; PS126_21-4
    Type: Dataset
    Format: text/tab-separated-values, 2 data points
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...