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  • 1
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    Modelled niche centres and niche breadths of open ocean phytoplankton taxa
    PANGAEA
    In:  Supplement to: Brun, Philipp; Vogt, Meike; Payne, Mark R; Gruber, Nicolas; O'Brien, Colleen J; Buitenhuis, Erik Theodoor; Le Quéré, Corinne; Leblanc, Karine; Luo, Ya-Wei (2015): Ecological niches of open ocean phytoplankton taxa. Limnology and Oceanography, 60(3), 1020-1038, https://doi.org/10.1002/lno.10074
    Details
    Publication Date: 2023-05-12
    Description: This data contains realized ecological niche estimates of phytoplankton taxa within the mixed layer of the open ocean. The estimates are based on data from the MARine Ecosystem DATa (MAREDAT) initiative, and cover five phytoplankton functional types: coccolithophores (40 species), diatoms (87 species), diazotrophs (two genera), Phaeocystis (two species) and picophytoplankton (two genera). Considered as major niche dimensions were temperature (°C), mixed layer depth (MLD; m), nitrate concentration (µmoles/L), mean photosynthetically active radiation in the mixed layer (MLPAR; µmoles/m**2/s), salinity, and the excess of phosphate versus nitrate relative to the Redfield ratio (P*; µmoles/L). For each niche dimension at a time, conditions at presence locations of the taxa were contrasted with conditions in 12 000 randomly sampled points from the open ocean using MaxEnt models. We used the quartiles of the response curves of these models to parameterize realized niche centers and niche breadths: the median (q50) of the response curves was considered to be the niche center and the distance between the lower quartile (q25) and the upper quartile (q75) was used as a rough estimate of niche breadth. We only reported meaningful niche estimates, i.e., estimates based on MaxEnt models that perform significantly better than random, as indicated by an area under the curve (AUC) score significantly larger than 0.5.
    Type: Dataset
    Format: application/zip, 14.2 kBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 2
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    Surface diatom community composition and species-specific contribution to carbon biomass, live and empty cell abundances over the Kerguelen region in the Southern Ocean (KEOPS 2 program) (2016)
    PANGAEA
    In:  Supplement to: Lasbleiz, Marine; Leblanc, Karine; Armand, Leanne K; Christaki, Urania; Georges, Clément; Obernosterer, Ingrid; Quéguiner, Bernard; King, Gary M (2016): Composition of diatom communities and their contribution to plankton biomass in the naturally iron-fertilized region of Kerguelen in the Southern Ocean. FEMS Microbiology Ecology, 92(11), fiw171, https://doi.org/10.1093/femsec/fiw171
    Details
    Publication Date: 2023-07-09
    Description: In the naturally iron-fertilized surface waters of the northern Kerguelen Plateau region, the early spring diatom community composition and contribution to plankton carbon biomass were investigated and compared with the High Nutrient Low Chlorophyll (HNLC) surrounding waters (October-November 2011, KEOPS 2). The large iron-induced blooms were dominated by small diatom species belonging to the genera Chaetoceros (Hyalochaete) and Thalassiosira, which rapidly responded to the onset of favorable light-conditions in the meander of the Polar Front. In comparison, the iron-limited HNLC area was typically characterized by autotrophic nanoeukaryote-dominated communities and by larger and more heavily silicified diatom species (e.g. Fragilariopsis spp.). Our results support the hypothesis that diatoms are valuable vectors of carbon export to depth in naturally iron-fertilized systems of the Southern Ocean. Comparison with the diatom assemblage composition of a sediment trap deployed in the iron-fertilized area suggests that the dominant Chaetoceros (Hyalochaete) cells were less efficiently exported than the less abundant yet heavily silicified cells of Thalassionema nitzschioides and Fragilariopsis kerguelensis. Our observations emphasize the strong influence of species-specific diatom cell properties combined with trophic interactions on matter export efficiency, and illustrate the tight link between the specific composition of phytoplankton communities and the biogeochemical properties characterizing the study area.
    Keywords: Actinocyclus curvatulus; Actinocyclus curvatulus, biomass as carbon; Asteromphalus hookeri; Asteromphalus hookeri, biomass as carbon; Asteromphalus hyalinus; Asteromphalus hyalinus, biomass as carbon; Asteromphalus parvulus; Asteromphalus parvulus, biomass as carbon; Azpeitia tabularis; Azpeitia tabularis, biomass as carbon; Biomass estimation after Cornet-Barthaux et al. (2007); Bottle number; Chaetoceros aequatoriale, biomass as carbon; Chaetoceros aequatorialis; Chaetoceros aequatorialis, biomass as carbon; Chaetoceros atlanticus; Chaetoceros atlanticus, biomass as carbon; Chaetoceros atlanticus var. neapolitanus; Chaetoceros atlanticus var. neapolitanus, biomass as carbon; Chaetoceros bulbosus; Chaetoceros bulbosus, biomass as carbon; Chaetoceros concavicornis; Chaetoceros concavicornis, biomass as carbon; Chaetoceros convolutus; Chaetoceros convolutus, biomass as carbon; Chaetoceros criophilus; Chaetoceros criophilus, biomass as carbon; Chaetoceros decipiens; Chaetoceros decipiens, biomass as carbon; Chaetoceros dichaeta; Chaetoceros dichaeta, biomass as carbon; Chaetoceros flexuosus; Chaetoceros flexuosus, biomass as carbon; Chaetoceros mitra; Chaetoceros mitra, biomass as carbon; Chaetoceros peruvianus; Chaetoceros peruvianus, biomass as carbon; Chaetoceros radicans; Chaetoceros radicans, biomass as carbon; Chaetoceros socialis; Chaetoceros socialis, biomass as carbon; Chaetoceros spp.; Chaetoceros spp., biomass as carbon; Chaetoceros spp. resting spores; Chaetoceros spp. resting spores, biomass as carbon; Corethron inerme; Corethron inerme, biomass as carbon; Corethron pennatum; Corethron pennatum, biomass as carbon; Coscinodiscus sp.; Coscinodiscus sp., biomass as carbon; CTD/Rosette; CTD-RO; Dactyliosolen antarcticus; Dactyliosolen antarcticus, biomass as carbon; Dactyliosolen tenuijunctus; Dactyliosolen tenuijunctus, biomass as carbon; DATE/TIME; DEPTH, water; Diatoms; Diatoms, biomass as carbon; Diatoms, centrales; Diatoms, centrales, biomass as carbon; Diatoms, pennales; Diatoms, pennales indeterminata; Diatoms, pennales indeterminata, biomass as carbon; Elevation of event; Eucampia antarctica; Eucampia antarctica, biomass as carbon; Event label; Fragilariopsis kerguelensis; Fragilariopsis kerguelensis, biomass as carbon; Fragilariopsis pseudonana; Fragilariopsis pseudonana, biomass as carbon; Fragilariopsis separanda; Fragilariopsis separanda, biomass as carbon; Guinardia cylindrus; Guinardia cylindrus, biomass as carbon; Kerguelen Plateau; Latitude of event; Leptocylindrus danicus; Leptocylindrus danicus, biomass as carbon; Leptocylindrus mediterraneus; Leptocylindrus mediterraneus, biomass as carbon; Longitude of event; Marion Dufresne (1995); MD188; MD188_A3-2_CTD-108; MD188_E-1_CTD-028; MD188_E-3_CTD-051; MD188_E-4E_CTD-095; MD188_E-4W_CTD-081; MD188_E-5_CTD-115; MD188_F-L_CTD-064; MD188_R-2_CTD-018; Membraneis challengeri; Membraneis challengeri, biomass as carbon; Membraneis imposter; Membraneis imposter, biomass as carbon; Membraneis sp.; Membraneis sp., biomass as carbon; Navicula spp.; Navicula spp., biomass as carbon; Nitzschia bicapitata; Nitzschia bicapitata, biomass as carbon; Nitzschia closterium; Nitzschia closterium, biomass as carbon; Nitzschia longissima; Nitzschia longissima, biomass as carbon; Odontella weissflogii; Odontella weissflogii, biomass as carbon; OISO_20, KEOPS 2; Paralia spp.; Paralia spp., biomass as carbon; Plagiotropis spp.; Plagiotropis spp., biomass as carbon; Pleurosigma sp.; Pleurosigma sp., biomass as carbon; Proboscia alata; Proboscia alata, biomass as carbon; Proboscia inermis; Proboscia inermis, biomass as carbon; Proboscia truncata; Proboscia truncata, biomass as carbon; Pseudo-nitzschia spp.; Pseudo-nitzschia spp., biomass as carbon; Quantitative phytoplankton method (Utermöhl, 1958); Radiation, photosynthetically active; Rhizosolenia antennata; Rhizosolenia antennata, biomass as carbon; Rhizosolenia chunii; Rhizosolenia chunii, biomass as carbon; Rhizosolenia crassa; Rhizosolenia crassa, biomass as carbon; Rhizosolenia pungens; Rhizosolenia pungens, biomass as carbon; Rhizosolenia simplex; Rhizosolenia simplex, biomass as carbon; Rhizosolenia styliformis; Rhizosolenia styliformis, biomass as carbon; Rhizosolenia styliformis var. longispina; Rhizosolenia styliformis var. longispina, biomass as carbon; Thalassionema nitzschioides var. lanceolata; Thalassionema nitzschioides var. lanceolata, biomass as carbon; Thalassionema nitzschioides var. nitzschioides; Thalassionema nitzschioides var. nitzschioides, biomass as carbon; Thalassionema nitzschioides var. parva; Thalassionema nitzschioides var. parva, biomass as carbon; Thalassiosira gracilis; Thalassiosira gracilis, biomass as carbon; Thalassiosira lentiginosa; Thalassiosira lentiginosa, biomass as carbon; Thalassiosira spp.; Thalassiosira spp., biomass as carbon; Thalassiosira tumida; Thalassiosira tumida, biomass as carbon; Thalassiothrix antarctica; Thalassiothrix antarctica, biomass as carbon
    Type: Dataset
    Format: text/tab-separated-values, 11715 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 3
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    Global distributions of diatoms abundance, biovolume and biomass - Gridded data product (NetCDF) - Contribution to the MAREDAT World Ocean Atlas of Plankton Functional Types (2012)
    PANGAEA
    Details
    Publication Date: 2023-07-05
    Description: This study is a first effort to compile the largest possible body of data available from different plankton databases as well as from individual published or unpublished datasets regarding diatom distribution in the world ocean. The data obtained originate from time series studies as well as spatial studies. This effort is supported by the Marine Ecosystem Data (MAREDAT) project, which aims at building consistent data sets for the main PFTs (Plankton Functional Types) in order to help validate biogeochemical ocean models by using converted C biomass from abundance data. Diatom abundance data were obtained from various research programs with the associated geolocation and date of collection, as well as with a taxonomic information ranging from group down to species. Minimum, maximum and average cell size information were mined from the literature for each taxonomic entry, and all abundance data were subsequently converted to biovolume and C biomass using the same methodology.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 30.6 MBytes
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 4
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    CO2 and vitamin B12 interactions determine bioactive trace metal requirements of a subarctic Pacific diatom (2011)
    PANGAEA
    Details
    Publication Date: 2024-04-03
    Description: Phytoplankton growth can be limited by numerous inorganic nutrients and organic growth factors. Using the subarctic diatom Attheya sp. in culture studies, we examined how the availability of vitamin B(12) and carbon dioxide partial pressure (pCO(2)) influences growth rate, primary productivity, cellular iron (Fe), cobalt (Co), zinc (Zn) and cadmium (Cd) quotas, and the net use efficiencies (NUEs) of these bioactive trace metals (mol C fixed per mol cellular trace metal per day). Under B(12)-replete conditions, cells grown at high pCO(2) had lower Fe, Zn and Cd quotas, and used those trace metals more efficiently in comparison with cells grown at low pCO(2). At high pCO(2), B(12)-limited cells had ~50% lower specific growth and carbon fixation rates, and used Fe ~15-fold less efficiently, and Zn and Cd ~3-fold less efficiently, in comparison with B(12)-replete cells. The observed higher Fe, Zn and Cd NUE under high pCO(2)/B(12)-replete conditions are consistent with predicted downregulation of carbon-concentrating mechanisms. Co quotas of B(12)-replete cells were 5- to 14-fold higher in comparison with B(12)-limited cells, suggesting that 〉80% of cellular Co of B(12)-limited cells was likely from B(12). Our results demonstrate that CO(2) and vitamin B(12) interactively influence growth, carbon fixation, trace metal requirements and trace metal NUE of this diatom. This suggests the need to consider complex feedback interactions between multiple environmental factors for this biogeochemically critical group of phytoplankton in the last glacial maximum as well as the current and future changing ocean.
    Keywords: Alkalinity, total; Aragonite saturation state; Attheya sp.; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Cadmium/Phosphorus ratio; Cadmium/Phosphorus ratio, standard deviation; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon/Phosphorus ratio; Carbon/Phosphorus ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Cobalt/Phosphorus ratio; Cobalt/Phosphorus ratio, standard deviation; Coulometric titration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Iron/Phosphorus ratio; Iron/Phosphorus ratio, standard deviation; Laboratory experiment; Laboratory strains; Micro-nutrients; Net use efficiency, Cadmium; Net use efficiency, Cadmium, standard deviation; Net use efficiency, Cobalt; Net use efficiency, Cobalt, standard deviation; Net use efficiency, Iron; Net use efficiency, Iron, standard deviation; Net use efficiency, Zinc; Net use efficiency, Zinc, standard deviation; Nitrogen/Phosphorus ratio; Nitrogen/Phosphorus ratio, standard deviation; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phytoplankton; Potentiometric; Primary production; Primary production/Photosynthesis; Primary production of carbon, standard deviation; Salinity; Single species; Species; Temperature, water; Treatment; Zinc/Phosphorus ratio; Zinc/Phosphorus ratio, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 270 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
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