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  • PANGAEA  (352)
  • Wiley  (8)
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  • 1
    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
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  • 2
    Publication Date: 2024-02-07
    Description: The Arctic Ocean is highly susceptible to climate change as evidenced by rapid warming and the drastic loss of sea ice during summer. The consequences of these environmental changes for the microbial cycling of organic matter are largely unexplored. Here, we investigated the distribution and composition of dissolved organic matter (DOM) along with heterotrophic bacterial activity in seawater and sea ice of the Eurasian Basin at the time of the record ice minimum in 2012. Bacteria in seawater were highly responsive to fresh organic matter and remineralized on average 55% of primary production in the upper mixed layer. Correlation analysis showed that the accumulation of dissolved combined carbohydrates (DCCHO) and dissolved amino acids (DAA), two major components of fresh organic matter, was related to the drawdown of nitrate. Nitrate‐depleted surface waters at stations adjacent to the Laptev Sea showed about 25% higher concentrations of DAA than stations adjacent to the Barents Sea and in the central Arctic basin. Carbohydrate concentration was the best predictor of heterotrophic bacterial activity in sea ice. In contrast, variability in sea‐ice bacterial biomass was largely driven by differences in ice thickness. This decoupling of bacterial biomass and activity may mitigate the negative effects of biomass loss due to ice melting on heterotrophic bacterial functions. Overall, our results reveal that changes in DOM production and inventories induced by sea‐ice loss have a high potential to enhance the bacterial remineralization of organic matter in seawater and sea ice of the Arctic Ocean.
    Type: Article , PeerReviewed
    Format: text
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  • 3
    Publication Date: 2024-02-07
    Description: 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.
    Type: Article , PeerReviewed
    Format: text
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  • 4
    Publication Date: 2024-02-07
    Description: During most of the year, diatom production in the ice-covered Central Arctic Ocean (CAO) is limited by light availability and nutrient supply. Therefore, biological production is thought to be generally low, with higher biological production at the sea ice edge and over partially ice-free shelf areas. The major surface ocean current in the CAO is the Transpolar Drift (TPD), which transports sea ice and water from the rivers and shelves of the Laptev and the East Siberian Seas across the CAO toward the Fram Strait, carrying high amounts of terrestrial-derived material over long distances. We used Si isotopes (δ30Si) to better understand the difference between lower and higher biological production areas and how the TPD potentially affects the Si cycle in the CAO. Our data show low dissolved Si concentrations ([DSi]) paired with high values of δ30Si-DSi in all surface samples indicating fractionation by diatoms. Specifically, outside the TPD influence, all nutrients were depleted and supply was limited due to stratified conditions, thus preventing further phytoplankton growth in the area during the sampling time in late summer-early fall. In contrast, under the TPD influence, diatom primary production was limited by low nitrate and strongly limited by light due to the presence of sea ice, even though [DSi] values were much higher than outside the TPD. Based on δ30Si, we could identify low but measurable DSi utilization in the TPD, potentially highlighting the importance of sea ice-attached diatoms transported to the CAO via the TPD for the Si cycle in this region. Key Points - Primary production and silicon utilization outside the Transpolar Drift are higher than under its influence due to more light availability - Primary production and lateral water transport under the Transpolar Drift influence were identified from silicon isotope composition - The Transpolar Drift delivers high dissolved silicon to the surface Arctic Ocean, a unique feature not seen in any other open ocean
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2023-03-16
    Keywords: Arctic Ocean; ARK-XI/1; AWI_BioOce; AWI_Paleo; Biogenic flux; Biological Oceanography @ AWI; Calcium carbonate, flux; Calculated; Carbon, organic, particulate, flux per year; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Element analyser CHN, Heraeus; Fatty acid, flux; Gas chromatography - Mass spectrometry (GC-MS); Lithogenic, flux; Mooring (long time); MOORY; Opal, flux; Paleoenvironmental Reconstructions from Marine Sediments @ AWI; Polarstern; PS2756-1; PS36; PS36/051LOMO-2; Sequential leaching technique; Sterol, flux; Total, flux per year; Weighing dry trap material; Weight loss on acidification
    Type: Dataset
    Format: text/tab-separated-values, 20 data points
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  • 6
    Publication Date: 2023-03-16
    Keywords: ARK-XXV/2; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; FEVI21; Hausgarten; Limacina helicina, flux; Limacina retroversa, flux; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring (long time); MOORY; North Greenland Sea; Polarstern; PS76; PS76/179-6, HGN; Pteropoda, flux; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 268 data points
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  • 7
    Publication Date: 2023-03-16
    Keywords: ARK-XXI/1b; DATE/TIME; Date/time end; DEPTH, water; Duration, number of days; Hausgarten; Lander-2005; Limacina helicina, flux; Limacina retroversa, flux; Long-term Investigation at AWI-Hausgarten off Svalbard; Mooring (long time); MOORY; North Greenland Sea; Polarstern; PS68; PS68/272-1; Pteropoda, flux; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 91 data points
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  • 8
    Publication Date: 2023-03-16
    Keywords: ARK-X/1; AWI_BioOce; Biological Oceanography @ AWI; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Polarstern; PS31; PS31/006; PS31/009; PS31/014; PS31/016; PS31/017; PS31/020; PS31/024; PS31/025; PS31/026; PS31/031; PS31/034; PS31/037; PS31/040; PS31/043; PS31/046; PS31/050; PS31/054; PS31/057; PS31/060; PS31/064; PS31/070; PS31/073; PS31/076; PS31/079; PS31/082; PS31/084; PS31/085; PS31/089; PS31/092; PS31/095; PS31/097; PS31/098; PS31/100; PS31/102; PS31/104; PS31/107; PS31/109
    Type: Dataset
    Format: text/tab-separated-values, 311 data points
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  • 9
    Publication Date: 2023-03-16
    Keywords: APN; Apstein plankton net; ARK-XIII/1a; AWI_BioOce; Barents Sea; Biological Oceanography @ AWI; BONGO; Bongo net; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Polarstern; PS44; PS44/002-1; PS44/003-1; PS44/004-1; PS44/005-1; PS44/006-4; PS44/007-1; PS44/008-4; PS44/009-1; PS44/010-5; PS44/011-3; PS44/012-1; PS44/013-3; PS44/014-1; PS44/015-1; PS44/016-6
    Type: Dataset
    Format: text/tab-separated-values, 153 data points
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  • 10
    Publication Date: 2023-03-16
    Keywords: Arctic Ocean; ARK-VIII/2; AWI_BioOce; Biological Oceanography @ AWI; Chlorophyll a; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Latitude of event; Longitude of event; Polarstern; PS19/038-1; PS19/039-1; PS19/040-1; PS19/041-1; PS19/044-1; PS19/045-1; PS19/047-1; PS19/050-1; PS19/051-1; PS19/052-1; PS19/053-1; PS19/055-1; PS19/057-1; PS19/058-1; PS19/059-1; PS19/062-1; PS19/063-1; PS19/064-1; PS19/065-1; PS19/067-1; PS19/070-1; PS19/071-1; PS19/072-1; PS19/073-1; PS19/074-1; PS19/075-1; PS19/076-1; PS19/077-1; PS19/078-1; PS19/079-1; PS19/080-1; PS19/081-1; PS19/081-2; PS19/082-1; PS19/084-1; PS19/085-1; PS19/086-1; PS19/087-1; PS19/090-1; PS19/093-1; PS19/094-1; PS19/095-1; PS19/097-1; PS19/098-1; PS19/099-1; PS19/100-1; PS19/101-1; PS19/104-1; PS19/105-1; PS19/106-1; PS19/108-1; PS19/109-1; PS19/110-1; PS19/111-1; PS19/112-1; PS19/113-1; PS19/114-1; PS19/115-1; PS19/116-1; PS19/117-1; PS19/119-1; PS19/121-1; PS19/123-1; PS19/124-2; PS19/124-3; PS19/124-4; PS19/126-1; PS19/127-1; PS19/128-1; PS19/129-1; PS19/131-1; PS19/132-1; PS19/133-1; PS19/134-1; PS19/135-1; PS19/136-1; PS19/137-1; PS19/138-1; PS19/139-1; PS19/141-1; PS19/142-1; PS19/143-1; PS19/144-1; PS19/146-1; PS19 EPOS II
    Type: Dataset
    Format: text/tab-separated-values, 657 data points
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