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  • PANGAEA  (78)
  • Blackwell Publishing Ltd  (1)
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Keywords
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  • 1
    Electronic Resource
    Electronic Resource
    Preferential cultivation of type II methanotrophic bacteria from littoral sediments (Lake Constance) (2004)
    Oxford, UK : Blackwell Publishing Ltd
    FEMS microbiology ecology 47 (2004), S. 0 
    Details
    ISSN: 1574-6941
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Most widely used medium for cultivation of methanotrophic bacteria from various environments is that proposed in 1970 by Whittenbury. In order to adapt and optimize medium for culturing of methanotrophs from freshwater sediment, media with varying concentrations of substrates, phosphate, nitrate, and other mineral salts were used to enumerate methanotrophs by the most probable number method. High concentrations (〉1 mM) of magnesium and sulfate, and high concentrations of nitrate (〉500 μM) significantly reduced the number of cultured methanotrophs, whereas phosphate in the range of 15–1500 μM had no influence. Also oxygen and carbon dioxide influenced the culturing efficiency, with an optimal mixing ratio of 17% O2 and 3% CO2; the mixing ratio of methane (6–32%) had no effect. A clone library of pmoA genes amplified by PCR from DNA extracted from sediment revealed the presence of both type I and type II methanotrophs. Nonetheless, the cultivation of methanotrophs, also with the improved medium, clearly favored growth of type II methanotrophs of the Methylosinus/Methylocystis group. Although significantly more methanotrophs could be cultured with the modified medium, their diversity did not mirror the diversity of methanotrophs in the sediment sample detected by molecular biology method.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1016/S0168-6496(03)00260-5
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    Paper (German National Licenses)
    Fulltext
  • 2
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    Methane concentration and isotopic composition (δ¹³C) in the waters of the Lena River and the Laptev Sea, in the years 2008, 2009 and 2010 (2013)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Keywords: AWI_Coast; AWI Arctic Land Expedition; BK08-02; BK08-03; BK08-04; BK08-08; BK08-09; BK08-10; BK08-11; BK08-12; BK08-13; BK08-15; BK08-16; BK08-17; BK08-18; BK08-19; BK08-20; BK08-21; Campaign of event; Classification; Coastal Ecology @ AWI; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, sediment/rock; Elevation of event; Event label; L09-02; L09-03; L09-04; L09-05; L09-07; L09-09; L09-10; L09-13; L09-14; L09-15; L09-16; L09-18; L09-21; L09-22; L09-23; L09-24; L09-25; L09-26; L09-27; L09-29; L09-31; L09-32; L09-33; L09-34; Laptev Sea; Latitude of event; Lena2008; Lena2009; Lena2010; Lena Delta, Siberia, Russia; Longitude of event; Methane; RU-Land_2008_Lena; RU-Land_2009_Lena; RU-Land_2010_Lena; T1-10-01; T1-10-02; T1-10-03; T1-10-04; T1-10-05; T1-10-06; T1-10-07; T2-10-01; T2-10-02; T2-10-03; T2-10-04; T2-10-05; T3-10-01; T3-10-02; T3-10-03; T3-10-04; T3-10-05; T5-10-01; T5-10-02; T5-10-03; T6-10-01; T6-10-02; T6-10-03; T8-10-01; T8-10-02; T8-10-03; Water sample; WS; δ13C, methane
    Type: Dataset
    Format: text/tab-separated-values, 322 data points
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    DATA PANGAEA
  • 3
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    Physical oceanography measured in the Lena Estuary, Sibiria, Russia, in 2010 (2013)
    PANGAEA
    Details
    Publication Date: 2023-03-16
    Keywords: AWI_Coast; AWI Arctic Land Expedition; Coastal Ecology @ AWI; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Elevation of event; Event label; Laptev Sea; Latitude of event; Lena2010; Longitude of event; Oxygen saturation; pH; RU-Land_2010_Lena; Salinity; T1-10-01; T1-10-02; T1-10-03; T1-10-04; T1-10-05; T1-10-06; T1-10-07; T2-10-01; T2-10-02; T2-10-03; T2-10-04; T2-10-05; T2-10-06; T3-10-01; T3-10-02; T3-10-03; T3-10-04; T3-10-05; T4-10-01; T4-10-02; T4-10-03; T4-10-04; T4-10-05; Temperature, water; Transmission of light
    Type: Dataset
    Format: text/tab-separated-values, 3586 data points
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    DATA PANGAEA
  • 4
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    Temperature, salinity, methane concentration, oxidation rates and methanotrophic cell number at Svalbard seeps in summer 2011 and 2012 (cruises POS419 and MSM21/4) (2015)
    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
    Details
    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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    DATA PANGAEA
  • 5
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    Dissolved methane on transects between Helgoland and Cuxhaven, in 2018 (2021)
    PANGAEA
    Details
    Publication Date: 2023-03-02
    Description: On three transects, in October, November and December 2018 with RV Uthörn dissolved methane was determined continuously . We used a degassing unit which was using surface water from the ship's water supply in an overflowing bucket. The gas mixture was subsequently analyzed with a Greenhouse Gas Analyzer from LosGatos. Conversion to methane concentration was performed with water samples, from which the methane content was determined with gas chromatography. Atmospheric methane was measured in certain intervals, by disconnecting the degasser, and connecting the Greenhouse Gas Analyzer with a tubing attached at about 6 m above the water surface at the ships upper deck. For basic hydrographic parameters were determined with a CTD (SSDA Sea and Sun Technology, Trappenkamp, Germany ) was placed in the same bucket as described above.
    Keywords: ALTITUDE; atmospheric methane; Chlorophyll a; CT; DATE/TIME; DEPTH, water; dissolved methane; Event label; hydrochemical parameters; LATITUDE; LONGITUDE; Methane; Modular Observation Solutions for Earth Systems; MOSES; Oxygen, dissolved; Salinity; Temperature, water; Turbidity (Formazin Turbidity Unit); Underway cruise track measurements; UT10/2018; UT10/2018-track; UT11/2018; UT11/2018-track; UT12/2018; UT12/2018-track; Uthörn
    Type: Dataset
    Format: text/tab-separated-values, 12869 data points
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    DATA PANGAEA
  • 6
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    Methane concentrations and methane oxidation rates from Jan 2013 - Nov 2014 in the Elbe Estuary, from Hamburg to Helgoland, Germany (2019)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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    DATA PANGAEA
  • 7
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    Physical oceanography and dissolved organic matter in the coastal Laptev Sea in 2013 (2015)
    PANGAEA
    In:  Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven
    Details
    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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    DATA PANGAEA
  • 8
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    Methane concentrations and methane oxidation rates from Oct 2010 - March 2012 in the Elbe Estuary, from Hamburg to Cuxhaven, Germany (2014)
    PANGAEA
    In:  Alfred Wegener Institute - Biological Institute Helgoland
    Details
    Publication Date: 2023-02-12
    Keywords: 3H-CH4 incubation; DATE/TIME; Depth, bathymetric; DEPTH, water; EC-619; EC-629; EC-639; EC-659; EC-679; EC-699; EC-719; EC-724; Elbe Estuary; Event label; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; Monitoring station; MONS; Salinity; Suspended particulate matter; Temperature, water; Turnover time
    Type: Dataset
    Format: text/tab-separated-values, 644 data points
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    DATA PANGAEA
  • 9
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    Methane concentrations and methane oxidation rates from Oct 2010 - Jun 2012 on a transect from Cuxhaven to Helgoland, North Sea, Germany (2014)
    PANGAEA
    In:  Alfred Wegener Institute - Biological Institute Helgoland
    Details
    Publication Date: 2023-03-02
    Keywords: Calculated; DATE/TIME; Depth, bathymetric; DEPTH, water; E3; Elbe_I; Elbe_II; Elbe_III; Elbe_IV; Elbe_V; Elbe_VI; Elbe_VII; Elbe_VIII; Event label; German Bight, North Sea; HelgolandTransects; Latitude of event; Longitude of event; Methane; Methane oxidation rate; Methane oxidation rate, standard deviation; MON; Monitoring; Salinity; Suspended particulate matter; Temperature, water; Turnover time; Uthörn
    Type: Dataset
    Format: text/tab-separated-values, 814 data points
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    DATA PANGAEA
  • 10
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    Oceanography and methane of waters from the Lena Delta (2013)
    PANGAEA
    In:  Supplement to: Bussmann, Ingeborg (2013): Distribution of methane in the Lena Delta and Buor-Khaya Bay, Russia. Biogeosciences, 10(7), 4641-4652, https://doi.org/10.5194/bg-10-4641-2013
    Details
    Publication Date: 2023-03-16
    Description: The Lena River is one of the largest Russian rivers draining into the Laptev Sea. The permafrost areas surrounding the Lena are predicted to thaw at increasing rates due to global temperature increases. With this thawing, large amounts of carbon – either organic or in the gaseous forms carbon dioxide and methane – will reach the waters of the Lena and the adjacent Buor-Khaya Bay (Laptev Sea). Methane concentrations and the isotopic signal of methane in the waters of the Lena Delta and estuary were monitored from 2008 to 2010. Creeks draining from permafrost soils produced hotspots for methane input into the river system (median concentration 1500 nM) compared with concentrations of 30–85 nM observed in the main channels of the Lena. No microbial methane oxidation could be detected; thus diffusion is the main process of methane removal. We estimated that the riverine diffusive methane flux is 3–10 times higher than the flux from surrounding terrestrial environment. To maintain the observed methane concentrations in the river, additional methane sources are necessary. The methane-rich creeks could be responsible for this input.
    Keywords: AWI_Coast; Coastal Ecology @ AWI
    Type: Dataset
    Format: application/zip, 2 datasets
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    DATA PANGAEA
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