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  • PANGAEA  (24,692)
  • 2010-2014  (24,692)
  • 1980-1984
  • 2012  (9,842)
  • 2010  (14,850)
Collection
Keywords
Years
  • 2010-2014  (24,692)
  • 1980-1984
Year
  • 1
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    PANGAEA
    In:  Supplement to: Kranz, Sven A; Levitan, Orly; Richter, Klaus-Uwe; Prasil, O; Beran-Frank, Ilana; Rost, Björn (2010): Combined effects of CO2 and light on the N2-fixing cyanobacterium Trichodesmium IMS101: Physiological responses. Plant Physiology, 154, 334-345, https://doi.org/10.1104/pp.110.159145
    Publication Date: 2024-07-08
    Description: Recent studies on the diazotrophic cyanobacterium Trichodesmium erythraeum(IMS101) showed that increasing CO2 partial pressure (pCO2) enhances N2 fixation and growth. Significant uncertainties remain as to the degree of the sensitivity to pCO2, its modification by other environmental factors, and underlying processes causing these responses. To address these questions, we examined the responses ofTrichodesmium IMS101 grown under a matrix of low and high levels of pCO2 (150 and 900 µatm) and irradiance (50 and 200 µmol photons m-2 s-1). Growth rates as well as cellular carbon and nitrogen contents increased with increasing pCO2 and light levels in the cultures. The pCO2-dependent stimulation in organic carbon and nitrogen production was highest under low light. High pCO2 stimulated rates of N2fixation and prolonged the duration, while high light affected maximum rates only. Gross photosynthesis increased with light but did not change with pCO2. HCO3- was identified as the predominant carbon source taken up in all treatments. Inorganic carbon uptake increased with light, but only gross CO2 uptake was enhanced under high pCO2. A comparison between carbon fluxes in vivo and those derived from 13C fractionation indicates high internal carbon cycling, especially in the low-pCO2treatment under high light. Light-dependent oxygen uptake was only detected underlow pCO2 combined with high light or when low-light-acclimated cells were exposed to high light, indicating that the Mehler reaction functions also as a photoprotective mechanism in Trichodesmium. Our data confirm the pronounced pCO2 effect on N2fixation and growth in Trichodesmium and further show a strong modulation of these effects by light intensity. We attribute these responses to changes in the allocation of photosynthetic energy between carbon acquisition and the assimilation of carbon and nitrogen under elevated pCO2. These findings are supported by a complementarystudy looking at photosynthetic fluorescence parameters of photosystem II, photosynthetic unit stoichiometry (photosystem I:photosystem II), and pool sizes of key proteins in carbon and nitrogen acquisition.
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bacteria; Bicarbonate ion; Bicarbonate uptake in chlorophyll, standard deviation; Bicarbonate uptake rate, per chlorophyll a; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated; Calculated, see reference(s); Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carbon dioxide uptake, per chlorophyll, standard deviation; Carbon dioxide uptake rate, per chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll a per cell; Comment; Cyanobacteria; Determined by acetylene reduction assay using a gas chromatograph; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fixation of carbon in chlorophyll; Fixation of carbon in chlorophyll, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gross oxygen evolution, per chlorophyll a; Gross oxygen evolution, standard deviation; Growth/Morphology; Growth rate; Growth rate, standard deviation; Laboratory experiment; Laboratory strains; Light; Mass spectrometer ANCA-SL 20-20 Europa Scientific; Nitrogen fixation rate, standard deviation; Nitrogen fixation rate per chlorophyll a; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Oxygen consumption, standard deviation; Oxygen consumption per chlorophyll a; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, production, standard deviation; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell; Particulate organic nitrogen per cell, standard deviation; Particulate organic nitrogen production, standard deviation; Particulate organic phosphorus per cell; Particulate organic phosphorus per cell, standard deviation; Pelagos; pH; pH, standard deviation; pH meter (Metrohm electrodes); Phytoplankton; Primary production/Photosynthesis; Production of particulate organic nitrogen; Radiation, photosynthetically active; Respiration; Salinity; see reference(s); Single species; Temperature, water; Time in hours; Trichodesmium sp.
    Type: Dataset
    Format: text/tab-separated-values, 1788 data points
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  • 2
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    PANGAEA
    In:  Supplement to: Luo, Yawei; Doney, Scott C; Anderson, L A; Benavides, Mar; Berman-Frank, I; Bode, Antonio; Bonnet, S; Boström, Kjärstin H; Böttjer, D; Capone, D G; Carpenter, E J; Chen, Yaw-Lin; Church, Matthew J; Dore, John E; Falcón, Luisa I; Fernández, A; Foster, R A; Furuya, Ken; Gomez, Fernando; Gundersen, Kjell; Hynes, Annette M; Karl, David Michael; Kitajima, Satoshi; Langlois, Rebecca; LaRoche, Julie; Letelier, Ricardo M; Marañón, Emilio; McGillicuddy Jr, Dennis J; Moisander, Pia H; Moore, C Mark; Mouriño-Carballido, Beatriz; Mulholland, Margaret R; Needoba, Joseph A; Orcutt, Karen M; Poulton, Alex J; Rahav, Eyal; Raimbault, Patrick; Rees, Andrew; Riemann, Lasse; Shiozaki, Takuhei; Subramaniam, Ajit; Tyrrell, Toby; Turk-Kubo, Kendra A; Varela, Manuel; Villareal, Tracy A; Webb, Eric A; White, Angelicque E; Wu, Jingfeng; Zehr, Jonathan P (2012): Database of diazotrophs in global ocean: abundance, biomass and nitrogen fixation rates. Earth System Science Data, 4, 47-73, https://doi.org/10.5194/essd-4-47-2012
    Publication Date: 2024-07-06
    Description: The MAREDAT atlas covers 11 types of plankton, ranging in size from bacteria to jellyfish. Together, these plankton groups determine the health and productivity of the global ocean and play a vital role in the global carbon cycle. Working within a uniform and consistent spatial and depth grid (map) of the global ocean, the researchers compiled thousands and tens of thousands of data points to identify regions of plankton abundance and scarcity as well as areas of data abundance and scarcity. At many of the grid points, the MAREDAT team accomplished the difficult conversion from abundance (numbers of organisms) to biomass (carbon mass of organisms). The MAREDAT atlas provides an unprecedented global data set for ecological and biochemical analysis and modeling as well as a clear mandate for compiling additional existing data and for focusing future data gathering efforts on key groups in key areas of the ocean. This is a gridded data product about diazotrophic organisms . There are 6 variables. Each variable is gridded on a dimension of 360 (longitude) * 180 (latitude) * 33 (depth) * 12 (month). The first group of 3 variables are: (1) number of biomass observations, (2) biomass, and (3) special nifH-gene-based biomass. The second group of 3 variables is same as the first group except that it only grids non-zero data. We have constructed a database on diazotrophic organisms in the global pelagic upper ocean by compiling more than 11,000 direct field measurements including 3 sub-databases: (1) nitrogen fixation rates, (2) cyanobacterial diazotroph abundances from cell counts and (3) cyanobacterial diazotroph abundances from qPCR assays targeting nifH genes. Biomass conversion factors are estimated based on cell sizes to convert abundance data to diazotrophic biomass. Data are assigned to 3 groups including Trichodesmium, unicellular diazotrophic cyanobacteria (group A, B and C when applicable) and heterocystous cyanobacteria (Richelia and Calothrix). Total nitrogen fixation rates and diazotrophic biomass are calculated by summing the values from all the groups. Some of nitrogen fixation rates are whole seawater measurements and are used as total nitrogen fixation rates. Both volumetric and depth-integrated values were reported. Depth-integrated values are also calculated for those vertical profiles with values at 3 or more depths.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 1.7 MBytes
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  • 3
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    PANGAEA
    In:  Supplement to: Edmunds, Peter J; Brown, Darren; Moriarty, Vincent (2012): Interactive effects of ocean acidification and temperature on two scleractinian corals from Moorea, French Polynesia. Global Change Biology, 18(7), 2173-2183, https://doi.org/10.1111/j.1365-2486.2012.02695.x
    Publication Date: 2024-07-06
    Description: This study tested the hypothesis that the response of corals to temperature and pCO2 is consistent between taxa. Juvenile massive Porites spp. and branches of P. rus from the back reef of Moorea were incubated for 1 month under combinations of temperature (29.3 °C and 25.6 °C) and pCO2 (41.6 Pa and 81.5 Pa) at an irradiance of 599 µmol quanta/m/s. Using microcosms and CO2 gas mixing technology, treatments were created in a partly nested design (tanks) with two between-plot factors (temperature and pCO2), and one within-plot factor (taxon); calcification was used as a dependent variable. pCO2 and temperature independently affected calcification, but the response differed between taxa. Massive Porites spp. was largely unaffected by the treatments, but P. rus grew 50% faster at 29.3 °C compared with 25.6 °C, and 28% slower at 81.5 Pa vs. 41.6 Pa CO2. A compilation of studies placed the present results in a broader context and tested the hypothesis that calcification for individual coral genera is independent of pH, [HCO3]-, and [CO3]2-. Unlike recent reviews, this analysis was restricted to studies reporting calcification in units that could be converted to nmol CaCO3/cm**2/h. The compilation revealed a high degree of variation in calcification as a function of pH, [HCO3]-, and [CO3]2-, and supported three conclusions: (1) studies of the effects of ocean acidification on corals need to pay closer attention to reducing variance in experimental outcomes to achieve stronger synthetic capacity, (2) coral genera respond in dissimilar ways to pH, [HCO3]-, and [CO3]2-, and (3) calcification of massive Porites spp. is relatively resistant to short exposures of increased pCO2, similar to that expected within 100 y.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Aragonite saturation state, standard error; Benthic animals; Benthos; Bicarbonate ion; Calcification/Dissolution; Calcification rate of calcium carbonate; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cnidaria; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); EXP; Experiment; French Polynesia; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Moorea; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Partial pressure of carbon dioxide (water) at sea surface temperature (wet air), standard error; pH; Porites rus; Porites sp.; Potentiometric titration; Salinity; Sample code/label; Sample ID; Single species; South Pacific; Species; Spectrophotometric; Surface area; Temperature; Temperature, water; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 2080 data points
    Location Call Number Expected Availability
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  • 4
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Abies; Alisma; Alnus viridis subsp. fruticosa; Artemisia; Betula nana-type; Betula pendula; Betula pubescens; Bryales; Compositae; Cyperaceae; DEPTH, sediment/rock; Equisetum; Ericaceae; Gramineae; Labiatae; Larix; Lycopodium clavatum; Menyanthes trifoliata; OVRAZHNO; Ovrazhnoe, Russia; Picea; Pinus sibirica; Pinus sylvestris; Polypodiaceae; Populus; Rosaceae; RUSC; Russian corer; Salix; Typha latifolia; Umbelliferae; Varia
    Type: Dataset
    Format: text/tab-separated-values, 675 data points
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  • 5
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Abies; Alnus viridis subsp. fruticosa; Artemisia; Asteroideae; Betula exilis; Betula platyphylla; Bryales; Caryophyllaceae; Chenopodiaceae; Cyperaceae; DEPTH, sediment/rock; Diphasium alpinum; Diphasium complanatum; Encalypta; Equisetum; Ericales; Gramineae; Larix sibirica; Lycopodium annotinum; Lycopodium clavatum; Menyanthes trifoliata; MONOB; Monolith boxes; Myriophyllum; Onagraceae; Picea abies subsp. obovata; Pinus haploxylon; Pinus sylvestris; Polypodiaceae; PURTAZ; Pur-Taz Peatland, Russia; Ranunculaceae; Rosaceae; Salix; Sphagnum; Thalictrum; Typha; Umbelliferae
    Type: Dataset
    Format: text/tab-separated-values, 2310 data points
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  • 6
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Abies; Alisma; Alnus; Artemisia; Betula; Betula nana; Bryales; Caryophyllaceae; Chenopodiaceae; Compositae; Cyperaceae; DEPTH, sediment/rock; Dicranum; Dryopteris-type; Epilobium; Equisetum; Ericaceae; Galium; Gramineae; Indeterminable: undifferentiated; Larix; Lycopodium clavatum; Menyanthes trifoliata; Nuphar; PETROP; Petropavlovka, Russia; Picea; Pinus sibirica; Pinus sylvestris; Pteridium; Ranunculaceae; Rhizopoda; Rosaceae; Rubus chamaemorus; Salix; Sphagnum; Tilia; Typha latifolia; Umbelliferae; Urtica; Utricularia
    Type: Dataset
    Format: text/tab-separated-values, 2508 data points
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  • 7
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Alnus hirsuta; Alnus viridis subsp. fruticosa; Artemisia; Betula exilis; Betula fruticosae; Betula platyphylla; Bryales; Caryophyllaceae; Chenopodiaceae; Cyperaceae; DEPTH, sediment/rock; Diphasium alpinum; Ephedra monosperma; Ericales; Gramineae; Larix dahurica; Lycopodium annotinum; Lycopodium clavatum; Onagraceae; Parnassia palustris; Picea abies subsp. obovata; Pinus haploxylon; Pinus sylvestris; Polygonaceae; Polypodiaceae; Ranunculaceae; Rosaceae; Salix; Selaginella sibirica; Sphagnum; SUOLLAKH; Suollakh, Russia; Thalictrum; Umbelliferae
    Type: Dataset
    Format: text/tab-separated-values, 1581 data points
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  • 8
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Alnus viridis subsp. fruticosa; Artemisia; Asteroideae; Betula exilis; Betula fruticosae; Betula platyphylla; Bryales; Caprifoliaceae; Caryophyllaceae; Chenopodiaceae; Cruciferae; Cyperaceae; DEPTH, sediment/rock; Ericales; Gramineae; Huperzia selago; Labiatae; Larix dahurica; Leguminosae; Lycopodium undifferentiated; Menyanthes trifoliata; Picea abies subsp. obovata; Pinus haploxylon; Pinus sylvestris; Polypodiaceae; Potamogeton; Ranunculaceae; Riccia; Rosaceae; Rubus chamaemorus; Salix; SAMAND; Samandon, Russia; Selaginella sibirica; Sphagnum; Thalictrum; Umbelliferae; Valeriana
    Type: Dataset
    Format: text/tab-separated-values, 980 data points
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  • 9
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Abies; Alnus viridis; Artemisia; Asteroideae undifferentiated; Betula sect. Albae; Betula sect. Fruticosae; Betula sect. Nanae; Bryales; Caryophyllaceae; Chenopodiaceae; Cruciferae; Cyperaceae; DEPTH, sediment/rock; Diphasium alpinum; Encalypta; Equisetum; Ericales; Gramineae; Huperzia selago; Larix gmelinii; Picea abies subsp. obovata; Pinus subgen. Strobus; Pinus sylvestris; Polygonaceae; Polypodiaceae; Ranunculaceae undifferentiated; Rosaceae; Salix; Scrophulariaceae; Sphagnum; SVERDRUP; Sverdrup, Russia; Thalictrum; Valerianaceae
    Type: Dataset
    Format: text/tab-separated-values, 248 data points
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  • 10
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    PANGAEA
    In:  European Pollen Database (EPD)
    Publication Date: 2024-07-05
    Keywords: Abies; Alisma; Alnus; Artemisia; Betula; Bryales; Caryophyllaceae; Chara; Chenopodiaceae; Compositae; Cyperaceae; DEPTH, sediment/rock; Dicranum; Dryopteris-type; Equisetum; Ericaceae; Gramineae; Indeterminable: undifferentiated; Labiatae; Larix; Lycopodium clavatum; Menyanthes trifoliata; Picea; Pinus sibirica; Pinus sylvestris; Pteridophyta spore; Ranunculaceae; Rosaceae; RPC; Russian peat corer; Salix; Sphagnum; TEGULD; Teguldet, Russia; Typha latifolia; Umbelliferae
    Type: Dataset
    Format: text/tab-separated-values, 1705 data points
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