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  • PANGAEA  (20)
  • 2015-2019  (20)
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Years
Year
  • 1
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    PANGAEA
    In:  Supplement to: Steinle, Lea; Graves, Carolyn; Treude, Tina; Ferre, Benedicte; Biastoch, Arne; Bussmann, Ingeborg; Berndt, Christian; Krastel, Sebastian; James, Rachael H; Behrens, Erik; Böning, Claus W; Greinert, Jens; Sapart, Célia-Julia; Scheinert, Markus; Sommer, Stefan; Lehmann, Moritz F; Niemann, Helge (2015): Water column methanotrophy controlled by a rapid oceanographic switch. Nature Geoscience, 8(5), 378–382, https://doi.org/10.1038/ngeo2420
    Publication Date: 2023-03-03
    Description: Large amounts of the greenhouse gas methane are released from the seabed to the water column where it may be consumed by aerobic methanotrophic bacteria. This microbial filter is consequently the last marine sink for methane before its liberation to the atmosphere. The size and activity of methanotrophic communities, which determine the capacity of the water column methane filter, are thought to be mainly controlled by nutrient and redox dynamics, but little is known about the effects of ocean currents. Here, we report measurements of methanotrophic activity and biomass (CARD-FISH) at methane seeps west of Svalbard, and related them to physical water mass properties (CTD) and modelled current dynamics. We show that cold bottom water containing a large number of aerobic methanotrophs was rapidly displaced by warmer water with a considerably smaller methanotrophic community. This water mass exchange, caused by short-term variations of the West Spitsbergen Current, constitutes a rapid oceanographic switch severely reducing methanotrophic activity in the water column. Strong and fluctuating currents are widespread oceanographic features common at many methane seep systems and are thus likely to globally affect methane oxidation in the ocean water column.
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 2
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-03-16
    Keywords: Calculated; DATE/TIME; Depth, bathymetric; DEPTH, water; E3; EC-619; EC-629; EC-639; EC-659; EC-679; EC-699; EC-719; EC-724; Elbe_I; Elbe_II; Elbe_III; Elbe_IV; Elbe_V; Elbe_VI; Elbe_VII; Elbe_VIII; Elbe Estuary; Event label; German Bight, North Sea; HelgolandTransects; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; MON; Monitoring; Monitoring station; MONS; Salinity; Suspended particulate matter; Temperature, water; Turnover time; Uthörn
    Type: Dataset
    Format: text/tab-separated-values, 1979 data points
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  • 3
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    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Publication Date: 2023-04-12
    Keywords: AWI_Coast; AWI Arctic Land Expedition; Carbon, organic, dissolved; Coastal Ecology @ AWI; CTD; Date/Time of event; DEPTH, water; Elevation of event; Event label; High temperature catalytic oxidation; Laptev Sea; Latitude of event; Lena2013; Longitude of event; MULT; Multiple investigations; Nitrogen, total dissolved; Oxygen; pH; RU-Land_2013_Lena; Salinity; Sample ID; T1-1301; T1-1302; T1-1303; T1-1304; T1-1305; T1-1306; T1-1307; T1-3X-1; T1-3X-2; T3-1305; T4-1301; T4-1303; T4-1304; T4-1305; T5-1301; T5-1303; T5-1304; T6-1301; T6-1302; T6-1303; T6-1304; T6-1305; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 519 data points
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  • 4
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    PANGAEA
    In:  Supplement to: Bussmann, Ingeborg; Hackbusch, Steffen; Schaal, Patrick; Wichels, Antje (2017): Methane distribution and oxidation around the Lena Delta in summer 2013. Biogeosciences, 14(21), 4985-5002, https://doi.org/10.5194/bg-14-4985-2017
    Publication Date: 2023-07-08
    Description: The Lena River is one of the biggest Russian rivers draining into the Laptev Sea. Due to predicted increasing temperatures, the permafrost areas surrounding the Lena Delta will melt at increasing rates. With this melting, high amounts of methane will reach the waters of the Lena and the adjacent Laptev Sea. Methane oxidation by methanotrophic bacteria is the only biological way to reduce methane concentrations within the system. However, the polar estuary of the Lena River is a challenging environment for bacteria, with strong fluctuations in salinity and temperature. We determined the activity (tracer method) and the abundance (qPCR) of aerobic methanotrophic bacteria. We described the methanotrophic population with MISA; as well as the methane distribution (head space) and other abiotic parameters in the Lena Delta in September 2013. In 'riverine water' (S 〈5) we found a median methane concentration of 22 nM, in 'mixed water' (5 〈 S 〈 20) the median methane concentration was 19 nM and in 'polar water' (S 〉 20) a median 28 nM was observed. The Lena River was not the methane source for surface water, and bottom water methane concentrations were mainly influenced by the concentration in surface sediments. However, the methane oxidation rate in riverine and polar water was very similar (0.419 and 0.400 nM/d), but with a higher relative abundance of methanotrophs and a higher 'estimated diversity' with respect to MISA OTUs in the 'rivine water' as compared to 'polar water'. The turnover times of methane ranged from 167 d in 'mixed water', 91 d in 'riverine water' and only 36 d in 'polarwater'. Also the environmental parameters influencing the methane oxidation rate and the methanotrophic population differed between the water masses. Thus we postulate a riverine methanotrophic population limited by sub-optimal temperatures and substrate concentrations and a polar methanotrophic population being well adapted to the cold and methane poor environment, but limited by the nitrogen content. The diffusive methane flux into the atmosphere ranged from 4 -163 µmol m2 d-1 (median 24). For the total methane inventory of the investigated area, the diffusive methane flux was responsible for 8% loss, compared to only 1% of the methane consumed by the methanotrophic bacteria within the system.
    Keywords: AWI_Coast; AWI Arctic Land Expedition; Bacteria, methane oxidizing; Coastal Ecology @ AWI; Date/Time of event; DEPTH, water; Elevation of event; Event label; Laptev Sea; Latitude of event; Lena2013; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; MULT; Multiple investigations; Quantitative real-time polymerase chain reaction (q-PCR); Radio 3H-CH4 tracer technique; RU-Land_2013_Lena; T1-1302; T1-1303; T1-1304; T1-1305; T1-1306; T1-1307; T1-3X-1; T4-1301; T4-1303; T4-1304; T4-1305; T5-1301; T5-1303; T5-1304; T6-1301; T6-1302; T6-1303; T6-1304; T6-1305; Turnover rate, methane; Turnover rate, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 180 data points
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  • 5
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    PANGAEA
    In:  Supplement to: Osudar, Roman; Liebner, Susanne; Alawi, Mashal; Yang, Sizhong; Bussmann, Ingeborg; Wagner, Dirk (2016): Methane turnover and methanotrophic communities in arctic aquatic ecosystems of the Lena Delta, Northeast Siberia. FEMS Microbiology Ecology, fiw116, https://doi.org/10.1093/femsec/fiw116
    Publication Date: 2024-01-18
    Description: Large amounts of organic carbon are stored in Arctic permafrost environments, and microbial activity can potentially mineralize this carbon into methane, a potent greenhouse gas. In this study, we assessed the methane budget, the bacterial methane oxidation (MOX) and the underlying environmental controls of arctic lake systems, which represent substantial sources of methane. Five lake systems located on Samoylov Island (Lena Delta, Siberia) and the connected river sites were analyzed using radiotracers to estimate the MOX rates, and molecular biology methods to characterize the abundance and the community composition of methane-oxidizing bacteria (MOB). In contrast to the river, the lake systems had high variation in the methane concentrations, the abundance and composition of the MOB communities, and consequently, the MOX rates. The highest methane concentrations and the highest MOX rates were detected in the lake outlets and in a lake complex in a floodplain area. Though, in all aquatic systems we detected both, Type I and II MOB, in lake systems we observed a higher diversity including MOB, typical of the soil environments. The inoculation of soil MOB into the aquatic systems, resulting from permafrost thawing, might be an additional factor controlling the MOB community composition and potentially methanotrophic capacity.
    Keywords: Arctic Tundra; Area; Bacteria, methane oxidizing, abundance; Bacteria, methane oxidizing, abundance, standard deviation; Bacteria/Archaea; Comment; DATE/TIME; Depth, bathymetric; DEPTH, water; Lake; Lake/Pond; LATITUDE; LONGITUDE; Methane; Methane, standard deviation; Methane oxidation rate; Methane oxidation rate, standard deviation; MULT; Multiple investigations; oxidation/reduction; Oxygen; Record length; river delta; Salinity; Samoylov_Island; Samoylov Island, Lena Delta, Siberia; Suspended particulate matter; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 297 data points
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  • 6
    Publication Date: 2024-02-29
    Keywords: Conductivity; CTD, Seabird; CTD-R; DATE/TIME; deep control; Density, mass density; DEPTH, water; K_17102012; Pressure, water; Salinity; Sound velocity in water; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1536 data points
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  • 7
    Publication Date: 2024-02-29
    Keywords: Conductivity; CTD, Seabird; CTD-R; DATE/TIME; deep control; Density, mass density; DEPTH, water; K_28032012; Lake Constance; Pressure, water; Salinity; Sound velocity in water; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1110 data points
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  • 8
    Publication Date: 2024-02-29
    Keywords: Conductivity; CTD, Seabird; CTD-R; DATE/TIME; Density, mass density; DEPTH, water; PM80; PM80_23032012; Pressure, water; Salinity; Sound velocity in water; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 1782 data points
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  • 9
    Publication Date: 2024-02-29
    Keywords: Conductivity; CTD, Seabird; CTD-R; DATE/TIME; Density, mass density; DEPTH, water; PM80; PM80_18102012; Pressure, water; Salinity; Sound velocity in water; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 960 data points
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  • 10
    Publication Date: 2024-02-29
    Keywords: 3H-CH4 incubation; CTD, Seabird; CTD-R; Date/Time of event; deep control; DEPTH, water; Event label; Headspace Gas Chromatography, Perkin-Elmer; K_19102012; K_26072011; K_29102012; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; PM80; PM80_19102012; PM80_26072011; PM80_29032012
    Type: Dataset
    Format: text/tab-separated-values, 96 data points
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