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  • Data  (3)
  • 2010-2014  (3)
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  • 1
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    Unknown
    Temporal biomass dynamics of an Arctic plankton bloom (2013)
    PANGAEA
    In:  Supplement to: Schulz, Kai Georg; Bellerby, Richard G J; Brussaard, Corina P D; Büdenbender, Jan; Czerny, Jan; Engel, Anja; Fischer, Matthias; Krug, Sebastian; Lischka, Silke; Koch-Klavsen, Stephanie; Ludwig, Andrea; Meyerhöfer, Michael; Nondal, G; Silyakova, Anna; Stuhr, Annegret; Riebesell, Ulf (2013): Temporal biomass dynamics of an Arctic plankton bloom in response to increasing levels of atmospheric carbon dioxide. Biogeosciences, 10(1), 161-180, https://doi.org/10.5194/bg-10-161-2013
    Details
    Publication Date: 2023-10-21
    Description: Ocean acidification and carbonation, driven by anthropogenic emissions of carbon dioxide (CO2), have been shown to affect a variety of marine organisms and are likely to change ecosystem functioning. High latitudes, especially the Arctic, will be the first to encounter profound changes in carbonate chemistry speciation at a large scale, namely the under-saturation of surface waters with respect to aragonite, a calcium carbonate polymorph produced by several organisms in this region. During a CO2 perturbation study in 2010, in the framework of the EU-funded project EPOCA, the temporal dynamics of a plankton bloom was followed in nine mesocosms, manipulated for CO2 levels ranging initially from about 185 to 1420 matm. Dissolved inorganic nutrients were added halfway through the experiment. Autotrophic biomass, as identified by chlorophyll a standing stocks (Chl a), peaked three times in all mesocosms. However, while absolute Chl a concentrations were similar in all mesocosms during the first phase of the experiment, higher autotrophic biomass was measured at high in comparison to low CO2 during the second phase, right after dissolved inorganic nutrient addition. This trend then reversed in the third phase. There were several statistically significant CO2 effects on a variety of parameters measured in certain phases, such as nutrient utilization, standing stocks of particulate organic matter, and phytoplankton species composition. Interestingly, CO2 effects developed slowly but steadily, becoming more and more statistically significant with time. The observed CO2 related shifts in nutrient flow into different phytoplankton groups (mainly diatoms, dinoflagellates, prasinophytes and haptophytes) could have consequences for future organic matter flow to higher trophic levels and export production, with consequences for ecosystem productivity and atmospheric CO2.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 2 datasets
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Mesozooplankton community development at elevated CO2 (2013)
    PANGAEA
    In:  Supplement to: Niehoff, Barbara; Schmithüsen, Holger; Knüppel, Nadine; Daase, M; Czerny, Jan; Boxhammer, Tim (2013): Mesozooplankton community development at elevated CO2 concentrations: results from a mesocosm experiment in an Arctic fjord. Biogeosciences, 10(3), 1391-1406, https://doi.org/10.5194/bg-10-1391-2013
    Details
    Publication Date: 2024-03-15
    Description: The increasing CO2 concentration in the atmosphere caused by burning fossil fuels leads to increasing pCO2 and decreasing pH in the world ocean. These changes may have severe consequences for marine biota, especially in cold-water ecosystems due to higher solubility of CO2. However, studies on the response of mesozooplankton communities to elevated CO2 are still lacking. In order to test whether abundance and taxonomic composition change with pCO2, we have sampled nine mesocosms, which were deployed in Kongsfjorden, an Arctic fjord at Svalbard, and were adjusted to eight CO2 concentrations, initially ranging from 185 µatm to 1420 µatm. Vertical net hauls were taken weekly over about one month with an Apstein net (55 µm mesh size) in all mesocosms and the surrounding fjord. In addition, sediment trap samples, taken every second day in the mesocosms, were analysed to account for losses due to vertical migration and mortality. The taxonomic analysis revealed that meroplanktonic larvae (Cirripedia, Polychaeta, Bivalvia, Gastropoda, and Decapoda) dominated in the mesocosms while copepods (Calanus spp., Oithona similis, Acartia longiremis and Microsetella norvegica) were found in lower abundances. In the fjord copepods prevailed for most of our study. With time, abundance and taxonomic composition developed similarly in all mesocosms and the pCO2 had no significant effect on the overall community structure. Also, we did not find significant relationships between the pCO2 level and the abundance of single taxa. Changes in heterogeneous communities are, however, difficult to detect, and the exposure to elevated pCO2 was relatively short. We therefore suggest that future mesocosm experiments should be run for longer periods.
    Keywords: Acartia longiremis; Alkalinity, total; Aragonite saturation state; Arctic; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Biological sample; Biomass/Abundance/Elemental composition; BIOS; Bivalvia; Calanus sp., female; Calanus spp., c1; Calanus spp., c2; Calanus spp., c3; Calanus spp., c4; Calanus spp., c5; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Cirripedia, cypris; Cirripedia, nauplii; Coast and continental shelf; Copepoda; DATE/TIME; Entire community; Euphausiidae; Experiment day; Field experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gastropoda; Kongsfjorden; Kongsfjorden, Spitsbergen, Arctic; Location type; Mesocosm or benthocosm; Microsetella norvegica; OA-ICC; Ocean Acidification International Coordination Centre; Oithona similis; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Polar; Polychaeta; Salinity; Sample code/label; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 6544 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Svalbard 2010 team (2010): EPOCA Svalbard mesocosm experiment 2010 depth-integrated (0-12m) variables (2013)
    PANGAEA
    Details
    Publication Date: 2024-03-15
    Keywords: 19-Butanoyloxyfucoxanthin; 1-Iodoethane; 1-Iodopropane; 2-Iodopropane; Algae, biomass as carbon; Algae, fatty acids; Algae abundance; Alkaline phosphatase; Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alloxanthin; alpha-Carotene, beta,epsilon-Carotene; Ammonium; Aphanizophyll; Aragonite saturation state; Arctic; Bacteria; Bacteria, biomass as carbon; Bacteria, fatty acids; Bacteria, high DNA fluorescence; Bacteria, low DNA fluorescence; Bacterial/community respiration, oxygen, ratio; Bacterial biomass production of carbon; Bacterial biomass production of carbon, standard deviation; Bacterial production; Bacterial production, standard deviation; beta-Carotene, beta,beta-Carotene; Bicarbonate ion; BIOACID; Biogenic silica; Biological Impacts of Ocean Acidification; Biomass/Abundance/Elemental composition; Bromochloromethane; Bromoiodomethane; Calanus finmarchicus, δ13C; Calcite saturation state; Calculated; Calculated from linear regression; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, total, particulate; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, flux per mesocosm; Chloroiodomethane; Chlorophyll a; Chlorophyll a, areal concentration; Chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophytes; Cirripedia, larvae, δ13C; Coast and continental shelf; Community composition and diversity; Coulometry; Cryptophytes; Cyanobacteria, biomass per area; DATE/TIME; delta 13C labeling method; Diadinoxanthin; Diatoxanthin; Dibromochloromethane; Dibromomethane; Diiodomethane; Dimethyl sulfide, dissolved; Dimethylsulfoniopropionate; Entire community; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Exudation as determined by 14C DOC production; Exudation as determined by 14C DOC production, standard deviation; Field experiment; Flow cytometry; Fucoxanthin; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gas chromatography - Mass spectrometry (GC-MS); GC-PFPD; Gross community production of oxygen; Hand-operated CTD (Sea&Sun Technology, CTD 60M); High Performance Liquid Chromatography (HPLC); Identification; Iodomethane; Kongsfjorden-mesocosm; MESO; Mesocosm experiment; Mesocosm or benthocosm; Myxoxanthophyll; Nanoplankton; Neoxanthin; Net community production, standard deviation; Net community production of carbon dioxide; Net community production of oxygen; Nitrate; Nitrite; Nitrogen, organic, dissolved; Nitrogen, organic, particulate; Nitrous oxide; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Oxygen; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Peridinin; pH; Phosphate; Phosphorus, organic, dissolved; Phosphorus, organic, particulate; Phytoplankton, biomass per area; Picophytoplankton; Polar; Prasinoxanthin; Primary production/Photosynthesis; Primary production of POC as determined by 14C POC production; Primary production of POC as determined by 14C POC production, standard deviation; Pulsed flame photometric detector - gas chromatography; Respiration; Respiration, oxygen, bacterial; Respiration, oxygen, bacterial, standard error; Respiration, oxygen, community; Respiration, oxygen, community, standard error; Salinity; Sample comment; Sigmas; Silicon; Svalbard; Temperature, water; Thymidine incorporation; Time, incubation; Transfer velocity, carbon dioxide; Transfer velocity, dimethyl sulfide; Transfer velocity, nitrous oxide; Tribromomethane; Turbidity (Formazin Turbidity Unit); Violaxanthin; Viral abundance; Virus/bacteria ratio; Viruses; Water content of mesocosm; Zeaxanthin; Δδ13C; δ13C, algae; δ13C, bacteria; δ13C, dissolved inorganic carbon; δ13C, dissolved organic carbon; δ13C, particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 35076 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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