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  • 1
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: The importance of temperature in regulating physiological processes is without question; however, the interpretation of the relationship between temperature and ecological data is much more complicated. Consequently, it is difficult to decide how the nature of the temperature response terms should be included in models used to predict responses of microbial processes to increasing regional temperature. This analysis compiles several years of data from a research programme conducted in Chesapeake Bay, in an effort to examine how individual microbial processes − as well as the balance between autotrophy and heterotrophy − have responded to temperature, and to predict changes in microbial trophic state based on realistic increases in global temperature. The upper boundary on all of the pelagic microbial rate processes that were measured could be described remarkably well as a linear function of temperature, although there was substantial scatter in the data. Pelagic microbial rate processes (e.g. phytoplankton production, respiration, bacterial productivity) showed a remarkably constrained range of Q10 values from 1.7 to 3.4. The one notable exception to this was nitrogen uptake in the North and Mid Bay, which exhibited Q10 values 〈 1.0. Proxies for phytoplankton biomass (e.g. chlorophyll) were largely independent of temperature while bacterial abundance was significantly related to temperature and was found to have a Q10 of 1.88.    Using these individual temperature responses, the balance of autotrophy and heterotrophy was assessed by calculating the community photosynthesis to respiration (P:R), NH4+ uptake to regeneration (U:R) and phytoplankton to bacterial productivity (PP:BP) ratios for current conditions (all ratios) and for a 2 and 5 °C temperature increase (NH4+ U:R excluded). The NH4+ U:R ratio stayed remarkable constant at ∼1 over the entire temperature range supporting the importance of regenerative processes to nitrogen availability even during periods of heavy allochthonous inputs. These elevated temperature calculations for P:R and PP:BP suggest that the magnitude of autotrophic production during the spring bloom may decrease with increased regional temperature and, as a consequence, the Chesapeake Bay might become net heterotrophic on an annual timescale. These calculations should be considered with caution, but nonetheless demonstrate that the impact of increasing temperature on the balance of autotrophic and heterotrophic processes needs to be researched further.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2023-03-27
    Description: The smallest marine phytoplankton, collectively termed picophytoplankton, have been routinely enumerated by flow cytometry since the late 1980s, during cruises throughout most of the world ocean. We compiled a database of 40,946 data points, with separate abundance entries for Prochlorococcus, Synechococcus and picoeukaryotes. We use average conversion factors for each of the three groups to convert the abundance data to carbon biomass. After gridding with 1° spacing, the database covers 2.4% of the ocean surface area, with the best data coverage in the North Atlantic, the South Pacific and North Indian basins. The average picophytoplankton biomass is 12 ± 22 µg C L-1 or 1.9 g C m-2. We estimate a total global picophytoplankton biomass, excluding N2-fixers, of 0.53 - 0.74 Pg C (17 - 39 % Prochlorococcus, 12 - 15 % Synechococcus and 49 - 69 % picoeukaryotes). Future efforts in this area of research should focus on reporting calibrated cell size, and collecting data in undersampled regions.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 6.6 MBytes
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  • 3
    Publication Date: 2023-03-27
    Description: We compiled a database of bacterial abundance of 39 766 data points. After gridding with 1° spacing, the database covers 1.3% of the ocean surface. There is data covering all ocean basins and depth except the Southern Hemisphere below 350 m or from April until June. The average bacterial biomass is 3.9 ± 3.6 µg l-1 with a 20-fold decrease between the surface and the deep sea. We estimate a total ocean inventory of about 1.3 - 1029 bacteria. Using an average of published open ocean measurements for the conversion from abundance to carbon biomass of 9.1 fg cell-1, we calculate a bacterial carbon inventory of about 1.2 Pg C. The main source of uncertainty in this inventory is the conversion factor from abundance to biomass.
    Keywords: MAREMIP; MARine Ecosystem Model Intercomparison Project
    Type: Dataset
    Format: application/zip, 5.2 MBytes
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  • 4
    Publication Date: 2023-03-25
    Keywords: 111-70M58; 122-70M47; 1-NP15; 25-MN8.5; 31-MN15; 38-SL12; 46-SL6; 59-W7.5; 70M36; 93-ZZ14; 9-NP7; Bering Sea; CN6; Cryptophyceae; Cryptophyceae, biomass as carbon; CTD/Rosette; CTD-RO; Date/Time of event; Depth of chlorophyll maximum; Diatoms; Diatoms, biomass as carbon; Dinoflagellates; Dinoflagellates, biomass as carbon; EcoFOCI; Event label; Healy; HLY0802; HLY0802-001; HLY0802-009; HLY0802-025; HLY0802-031; HLY0802-038; HLY0802-046; HLY0802-059; HLY0802-093; HLY0802-111; HLY0802-122; HLY0803; HLY0803-011; HLY0803-029; HLY0803-046; HLY0803-059; HLY0803-086; HLY0803-092; HLY0803-103; HLY0803-116; HLY0803-143; Latitude of event; Longitude of event; LS1_6; Microflagellates; Microflagellates, biomass as carbon; MN12; MN3; MULT; Multiple investigations; Nanoeukaryotes; Nanoeukaryotes, biomass as carbon; NP7; P14_2; Season; SL14; SL8; Station label; Synechococcus; Synechococcus, biomass as carbon
    Type: Dataset
    Format: text/tab-separated-values, 363 data points
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  • 5
    Publication Date: 2023-01-13
    Keywords: 106-ZZ27; 111-70M58; 122-70M47; 148-NP8; 1-NP15; 25-MN8.5; 31-MN15; 34-MN20; 38-SL12; 46-SL6; 59-W7.5; 62-NP7; 70M36; 75-BS1; 76-P14-4; 93-ZZ14; 94-ZZ15; 9-NP7; Bering Sea; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; EcoFOCI; Elevation of event; Event label; Healy; HLY0802; HLY0802-001; HLY0802-009; HLY0802-025; HLY0802-031; HLY0802-034; HLY0802-038; HLY0802-046; HLY0802-059; HLY0802-062; HLY0802-075; HLY0802-076; HLY0802-093; HLY0802-094; HLY0802-106; HLY0802-111; HLY0802-122; HLY0802-148; HLY0803; HLY0803-004; HLY0803-016; HLY0803-029; HLY0803-046; HLY0803-059; HLY0803-067; HLY0803-083; HLY0803-086; HLY0803-087; HLY0803-092; HLY0803-103; HLY0803-111; HLY0803-116; HLY0803-143; Latitude of event; Longitude of event; LS1_6; MN12; MN20; MN3; MULT; Multiple investigations; NP11; NP7; P14_2; PIT1D; PIT 2; PIT3; Season; SL14; SL8; Station label; Thorium-234, total; Thorium-234, total, standard deviation; Thorium-234/Uranium-238 activity ratio; Thorium-234/Uranium-238 activity ratio, standard deviation; UP3; Uranium-238
    Type: Dataset
    Format: text/tab-separated-values, 1666 data points
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  • 6
    Publication Date: 2023-01-13
    Keywords: 106-ZZ27; 110-ICE; 111-70M58; 116-70M53; 122-70M47; 148-NP8; 1-NP15; 25-MN8.5; 31-MN15; 34-MN20; 38-SL12; 43-SL8.5; 46-SL6; 59-W7.5; 62-NP7; 70M36; 75-BS1; 76-P14-4; 93-ZZ14; 94-ZZ15; 9-NP7; Bering Sea; Carbon, organic, particulate, flux; Carbon, organic, particulate, standard deviation; CN6; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Depth with 1% of photosynthetic active radiation; EcoFOCI; Elevation of event; Event label; Healy; HLY0802; HLY0802-001; HLY0802-009; HLY0802-025; HLY0802-031; HLY0802-034; HLY0802-038; HLY0802-043; HLY0802-046; HLY0802-059; HLY0802-062; HLY0802-075; HLY0802-076; HLY0802-093; HLY0802-094; HLY0802-106; HLY0802-110; HLY0802-111; HLY0802-116; HLY0802-122; HLY0802-148; HLY0803; HLY0803-004; HLY0803-011; HLY0803-016; HLY0803-029; HLY0803-046; HLY0803-059; HLY0803-067; HLY0803-083; HLY0803-086; HLY0803-087; HLY0803-092; HLY0803-103; HLY0803-111; HLY0803-116; HLY0803-143; Ice coverage; Latitude of event; Longitude of event; LS1_6; MN12; MN20; MN3; MULT; Multiple investigations; NP11; NP7; P14_2; PIT1D; PIT 2; PIT3; Primary production, carbon assimilation (24 hr.), integrated; Primary production of carbon, standard deviation; Ratio; Season; SL14; SL8; Standard deviation; Station label; Thorium-234, particulate, flux; Thorium-234, particulate, standard deviation; UP3
    Type: Dataset
    Format: text/tab-separated-values, 740 data points
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  • 7
    Publication Date: 2023-05-12
    Keywords: BOFS10K; BOFS11890#2; BOFS11891#4; BOFS11K; D184; DEPTH, sediment/rock; Discovery (1962); Event label; KAL; Kasten corer; Manganese; Neodymium; Northeast Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 38 data points
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  • 8
    Publication Date: 2023-05-12
    Keywords: DEPTH, water; Event label; Manganese; Method comment; Neodymium; Tow_1; Trap_1; Trap, sediment; TRAPS; ε-Neodymium; ε-Neodymium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 27 data points
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  • 9
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    PANGAEA
    In:  Supplement to: Moran, S Bradley; Lomas, Michael W; Kelly, R P; Gradinger, Rolf; Iken, K; Mathis, Jeremy T (2012): Seasonal succession of net primary productivity, particulate organic carbon export, and autotrophic community composition in the eastern Bering Sea. Deep Sea Research Part II: Topical Studies in Oceanography, 65-70, 84-97, https://doi.org/10.1016/j.dsr2.2012.02.011
    Publication Date: 2023-12-13
    Description: Seasonal patterns in the partitioning of phytoplankton carbon during receding sea ice conditions in the eastern Bering Sea water column are presented using rates of 14C net primary productivity (NPP), phototrophic plankton carbon content, and POC export fluxes from shelf and slope waters in the spring (March 30-May 6) and summer (July 3-30) of 2008. At ice-covered and marginal ice zone (MIZ) stations on the inner and middle shelf in spring, NPP averaged 76 ± 93 mmol C/m**2/d, and in ice-free waters on the outer shelf NPP averaged 102 ± 137 mmol C/m**2/d. In summer, rates of NPP were more uniform across the entire shelf and averaged 43 ± 23 mmol C/m**2/d over the entire shelf. A concomitant shift was observed in the phototrophic pico-, nano-, and microplankton community in the chlorophyll maximum, from a diatom dominated system (80 ± 12% autotrophic C) in ice covered and MIZ waters in spring, to a microflagellate dominated system (71 ± 31% autotrophic C) in summer. Sediment trap POC fluxes near the 1% PAR depth in ice-free slope waters increased by 70% from spring to summer, from 10 ± 7 mmol C/m**2/d to 17 ± 5 mmol C/m**2/d, respectively. Over the shelf, under-ice trap fluxes at 20 m were higher, averaging 43 ± 17 mmol C/m**2/d POC export over the shelf and slope estimated from 234Th deficits averaged 11 ± 5 mmol C/m**2/d in spring and 10 ± 2 mmol C/m**2/d in summer. Average e-ratios calculated on a station-by-station basis decreased by ~ 30% from spring to summer, from 0.46 ± 0.48 in ice-covered and MIZ waters, to 0.33 ± 0.26 in summer, though the high uncertainty prevents a statistical differentiation of these data.
    Keywords: International Polar Year (2007-2008); IPY
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 10
    Publication Date: 2024-02-17
    Keywords: BATS_100382; BATS_100383; BATS_100384; BATS_100385; BATS_100386; BATS_100387; BATS_100388; BATS_100389; BATS_100390; BATS_100391; BATS_100392; BATS_100393; BATS_100394; BATS_100395; BATS_100396; BATS_100397; BATS_100398; BATS_100399; BATS_100400; BATS_100401; BATS_100402; BATS_100403; BATS_100404; BATS_100405; BATS_100406; BATS_100407; BATS_100408; BATS_100409; BATS_100410; BATS_100411; BATS_100412; BATS_100413; BATS_100414; BATS_100415; BATS_100416; BATS_100417; BATS_100418; BATS_100419; BATS_100420; BATS_100421; BATS_100422; BATS_100423; BATS_100424; BATS_100425; BATS_100426; BATS_100427; BATS_100428; BATS_100429; BATS_100430; BATS_100431; BATS_100432; BATS_100433; BATS_100434; BATS_100435; BATS_100436; BATS_100437; BATS_100438; BATS_100439; BATS_100440; BATS_100441; BATS_100442; BATS_100443; BATS_100444; BATS_100445; BATS_100446; BATS_100447; BATS_100448; BATS_100449; BATS_100450; BATS_100451; BATS_100452; BATS_100453; BATS_100454; BATS_100455; BATS_100456; BATS_100457; BATS_100458; BATS_100459; BATS_100460; BATS_100461; BATS_100462; BATS_100463; BATS_100464; BATS_100465; BATS_100466; BATS_100467; BATS_100468; BATS_100469; BATS_100470; BATS_100471; BATS_100472; BATS_100473; BATS_100474; BATS_100475; BATS_100476; BATS_100477; BATS_100478; BATS_100479; BATS_100480; BATS_100481; BATS_100482; BATS_100483; BATS_100484; BATS_100485; BATS_100486; BATS_100487; BATS_100488; BATS_100489; BATS_100490; BATS_100491; BATS_100492; BATS_100493; BATS_100494; BATS_100495; BATS_100496; BATS_100497; BATS_100498; BATS_100499; BATS_100500; BATS_100501; BATS_100502; BATS_100503; BATS_100504; BATS_100505; BATS_100506; BATS_100507; BATS_100508; BATS_100509; BATS_100510; BATS_100511; BATS_100512; BATS_100513; BATS_100514; BATS_100515; BATS_100516; BATS_100517; BATS_100518; BATS_100519; BATS_100520; BATS_100521; BATS_100522; BATS_100523; BATS_100524; BATS_100525; BATS_100526; BATS_100527; BATS_100528; BATS_100529; BATS_100530; BATS_100531; BATS_100532; BATS_100533; BATS_100534; BATS_100535; BATS_100536; BATS_100537; BATS_100538; BATS_100539; BATS_100540; BATS_100541; BATS_100542; BATS_100543; BATS_100544; BATS_100545; BATS_100546; BATS_100547; BATS_100548; BATS_100549; BATS_100550; BATS_100551; BATS_100552; BATS_100553; BATS_100554; BATS_100555; BATS_100556; BATS_100557; BATS_100558; BATS_100559; BATS_100560; BATS_100561; BATS_100562; BATS_100563; BATS_100564; BATS_100565; BATS_100566; BATS_100567; BATS_100568; BATS_100569; BATS_100570; BATS_100571; BATS_100572; BATS_100573; BATS_100574; BATS_100575; BATS_100576; BATS_100577; BATS_100578; BATS_100579; BATS_100580; BATS_100581; BATS_100582; BATS_100583; BATS_100584; BATS_100585; BATS_100586; BATS_100587; BATS_100588; BATS_100589; BATS_100590; BATS_100591; BATS_100592; BATS_100593; BATS_100594; BATS_100595; BATS_100596; BATS_100597; BATS_100598; BATS_100599; BATS_100600; BATS_100601; BATS_100602; BATS_100603; BATS_100604; BATS_100605; BATS_100606; BATS_100607; BATS_100608; BATS_100609; BATS_100610; BATS_100611; BATS_100612; BATS_100613; BATS_100614; BATS_100615; BATS_100616; BATS_100617; BATS_100618; BATS_100619; BATS_100620; BATS_100621; BATS_100622; BATS_100623; BATS_100624; BATS_100625; BATS_100626; BATS_100627; BATS_100628; BATS_100629; BATS_100630; BATS_100631; BATS_100632; BATS_100633; BATS_100634; BATS_100635; BATS_100636; BATS_100637; BATS_100638; BATS_100639; BATS_100640; BATS_100641; BATS_100642; BATS_100643; BATS_100644; BATS_100645; BATS_100646; BATS_100647; BATS_100648; BATS_100649; BATS_100650; BATS_100651; BATS_100652; BATS_100653; BATS_100654; BATS_100655; BATS_100656; BATS_100657; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Flow cytometry; Latitude of event; Longitude of event; Prokaryotes; South Atlantic Ocean
    Type: Dataset
    Format: text/tab-separated-values, 2330 data points
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