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  • 1
    Publication Date: 2023-03-07
    Description: Analysis for micro-molar concentrations of nitrate and nitrite, nitrite, phosphate, silicate and ammonia was undertaken on a SEAL Analytical UK Ltd, AA3 segmented flow autoanalyser following methods described by Kirkwood (1996). Samples were drawn from Niskin bottles on the CTD into 15ml polycarbonate centrifuge tubes and kept refrigerated at approximately 4oC until analysis, which generally commenced within 30 minutes. Overall 23 runs with 597 samples were analysed. This is a total of 502 CTD samples, 69 underway samples and 26 from other sources. An artificial seawater matrix (ASW) of 40g/litre sodium chloride was used as the inter-sample wash and standard matrix. The nutrient free status of this solution was checked by running Ocean Scientific International (OSI) low nutrient seawater (LNS) on every run. A single set of mixed standards were made up by diluting 5mM solutions made from weighed dried salts in 1litre of ASW into plastic 250ml volumetric flasks that had been cleaned by washing in MilliQ water (MQ). Data processing was undertaken using SEAL Analytical UK Ltd proprietary software (AACE 6.07) and was performed within a few hours of the run being finished. The sample time was 60 seconds and the wash time was 30 seconds. The lines were washed daily with wash solutions specific for each chemistry, but comprised of MQ, MQ and SDS, MQ and Triton-X, or MQ and Brij-35. Three times during the cruise the phosphate and silicate channels were washed with a weak sodium hypochlorite solution.
    Keywords: Ammonium; Basin Scale Analysis, Synthesis and Integration; Bottle number; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Dissolved oxygen with modified Winkler (Carpenter, 1965); EURO-BASIN; Event label; James Cook; JC087; JC087-001; JC087-002; JC087-003; JC087-004; JC087-005; JC087-006; JC087-007; JC087-008; JC087-009; JC087-010; JC087-011; JC087-012; JC087-013; JC087-014; JC087-015; JC087-017; JC087-018; JC087-019; JC087-020; JC087-021; JC087-022; JC087-023; JC087-024; JC087-031; JC087-037; JC087-040; JC087-042; JC087-050; JC087-051; JC087-055; JC087-060; JC087-067; JC087-074; JC087-075; JC087-088; JC087-094; JC087-096; JC087-101; JC087-104; JC087-117; JC087-126; JC087-130; JC087-141; JC087-149; JC087-151; Latitude of event; Longitude of event; Nitrate and Nitrite; Nitrite; Nutrient analyser; Oxygen; PELAGRA; Phosphate; Porcupine Abyssal Plain; Silicate; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 3390 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-05-14
    Description: Physical, chemical and biogeochemical measurements derived from CTD-rosette deployments during three visits to site P3 (November to December, 2017) in the South Atlantic. Measurements were made during COMICS cruise DY086 on the RRS Discovery using a trace metal free Titanium Rosette (events 4, 7, 15, 19, 24, 26, 29) and a Stainless Steel Rosette (all other events). Physical parameters include temperature, salinity, density, photosynthetically active radiation and turbulence; chemical parameters include dissolved oxygen, dissolved oxygen saturation, nitrate, phosphate and silicate; biogeochemical parameters include turbidity, beam transmittance, beam attenuation, fluorescence, particulate organic carbon (POC), dissolved organic carbon (DOC), chlorophyll-a, net primary productivity (NPP), ambient leucine assimilation and bacterial cell count. To determine turbulence, a downward facing lowered acoustic doppler current profiler (LADCP, Teledyne Workhorse Monitor 300 kHz ADCP) was attached to the CTD frame. Shear and strain, which are obtained from velocity and density measurements, were used to estimate the dissipation rate of turbulent kinetic energy and the diapycnal eddy diffusivity from a fine-scale parameterisation. Estimates are calculated by parameterising internal wave-wave interactions and assuming that wave breaking modulates turbulent mixing. A detailed description of the method for calculating diffusivity from LADCP and CTD can be found in Kunze et al. (2006). Two datasets with different vertical resolutions were produced: one in which the shear is integrated from 150 to 300 m and the strain over 20-150 m, and one in which the shear is integrated from 70 to 200 m and the strain over 30-200 m. Nutrients (nitrate, phosphate, silicate) were determined via colourimetric analysis (see cruise report, Giering and Sanders, 2019), POC was determined as described in Giering et al. (2023), DOC and DOC flux were determined as described in Lovecchio et al. (2023), NPP was determined as described in Poulton et al. (2019), and ambient leucine assimilation and bacterial cell count were determined as described in Rayne et al. (2024). Bacterial abundance and leucine assimilation were made from bottle samples of six CTD casts of the stainless-steel rosette. Water was collected at six depths (6 m, deep-chlorophyll maximum, mixed layer depth + 10, 100, 250 and 500 m). Acid-cleaned HDPE carboys and tubing were used for sampling. Samples were then stored in the dark and at in-situ temperature prior to on-board laboratory sample preparation or analysis. Flow cytometry was used to measure bacterial abundance. Room temperature paraformaldehyde was used to fix 1.6 ml samples for 30 minutes. Then, using liquid nitrogen, the samples were flash frozen and stored at -80°C. Samples were then defrosted before being stained using SYBR Green I and run through the flow cytometer (BD FACSort™). The method of Hill et al. (2013) was applied to determine prokaryotic leucine assimilation using L-[4,5-³H] leucine which has a specific activity of 89.3 Ci/mmol­. In the mixed and upper layers of the water column, the protocol in Zubkov et al. (2007) was followed. Below the mixed layer, adaptions to the method included reducing the concentration of ³H-Leucine to 0.005, 0.01, 0.025, 0.04 and 0.05 nM; increasing experimental volumes to 30 ml; enhancing incubation times to 30, 60, 90 and 120 min. These adaptions were made to improve accuracy where lower rates of leucine assimilation were expected. Data were provided by the British Oceanographic Data Centre and funded by the National Environment Research Council.
    Keywords: 74EQ20171115; Angular scattering coefficient, 700 nm; Attenuation, optical beam transmission; Bacteria; Barometer, Paroscientific, Digiquartz TC; biological carbon pump; Calculated; Calculated according to UNESCO (1983); Calculation according to Kunze et al. (2006); Carbon, organic, dissolved; Carbon, organic, dissolved, flux; Carbon, organic, particulate; Chlorophyll a; Colorimetric analysis; COMICS; Conductivity sensor, SEA-BIRD SBE 4C; Controls over Ocean Mesopelagic Interior Carbon Storage; CTD/Rosette; CTD-RO; DATE/TIME; Density, sigma-theta (0); DEPTH, water; Discovery (2013); Dissipation rate; Dissolved Oxygen Sensor, Sea-Bird, SBE 43 and SBE 43F; DY086; DY086_CTD002; DY086_CTD003; DY086_CTD004; DY086_CTD005; DY086_CTD006; DY086_CTD007; DY086_CTD008; DY086_CTD009; DY086_CTD010; DY086_CTD015; DY086_CTD016; DY086_CTD017; DY086_CTD018; DY086_CTD019; DY086_CTD020; DY086_CTD021; DY086_CTD022; DY086_CTD023; DY086_CTD024; DY086_CTD026; DY086_CTD027; DY086_CTD028; DY086_CTD029; DY086_CTD030; DY086_CTD031; DY086_CTD032; DY086_CTD033; Eddy diffusivity; Event label; Flow cytometer, Becton Dickinson, FACSort; Fluorometer, Chelsea Instruments, Aquatracka MKIII; fluxes; High Temperature Catalytic Oxidation, Shimadzu TOC-VCPN; LATITUDE; Leucine uptake rate; Liquid scintillation counter, Packard, TRI-CARB 3100TR; LONGITUDE; marine biogeochemistry; Net primary production of carbon; Nitrate; Organic Elemental Analyzer, Thermo Fisher Scientific, Flash 2000; Oxygen; Oxygen saturation; PAR sensor, Biospherical, LI-COR, SN 70510; PAR sensor, Biospherical, LI-COR, SN 70520; Phosphate; Radiation, photosynthetically active; Radioassays, liquid scintillation counting; Salinity; Scattering meter, WET Labs, ECO-BB OBS; Silicate; Site; SUMMER; Sustainable Management of Mesopelagic Resources; Temperature, water; Temperature sensor, SEA-BIRD SBE 3Plus; Transmissometer, WET Labs, C-Star
    Type: Dataset
    Format: text/tab-separated-values, 171794 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-04-27
    Description: Discrete measurements of particulate organic carbon (POC) concentration and flux were made on the RRS Discovery during COMICS cruise DY086 at site P3 in the South Atlantic from November to December, 2017 (Giering et al. 2023). Data is from a variety of equipment including marine snow catchers, neutrally-buoyant sediment traps (PELAGRA) and a stand-alone pump system. Marine snow catchers settled on-deck for 2 hours. Slow sinking particles were collected from the base and fast sinking particles were collected from the tray. These data were used along with bottle POC data to calibrate glider backscatter data from the GOCART project.
    Keywords: 74EQ20171115; biological carbon pump; Carbon, organic, particulate; Carbon, organic, particulate, flux; COMICS; Controls over Ocean Mesopelagic Interior Carbon Storage; Date/Time of event; DEPTH, water; Discovery (2013); DY086; DY086_MSC006; DY086_MSC007; DY086_MSC010; DY086_MSC015; DY086_MSC016; DY086_MSC019; DY086_MSC020; DY086_MSC022; DY086_MSC027; DY086_MSC028; DY086_MSC029; DY086_MSC034; DY086_MSC035; DY086_MSC036; DY086_MSC037; DY086_MSC038; DY086_MSC039; DY086_MSC040; DY086_MSC061; DY086_MSC062; DY086_MSC063; DY086_MSC067; DY086_MSC068; DY086_MSC069; DY086_MSC071; DY086_MSC072; DY086_MSC076; DY086_MSC077; DY086_MSC078; DY086_MSC079; DY086_MSC081; DY086_MSC082; DY086_MSC083; DY086_MSC084; DY086_MSC093; DY086_MSC094; DY086_MSC099; DY086_MSC100; DY086_MSC101; DY086_MSC103; DY086_MSC104; DY086_MSC105; DY086_MSC106; DY086_MSC111; DY086_MSC112; DY086_MSC113; DY086_MSC114; DY086_MSC125; DY086_MSC126; DY086_MSC127; DY086_MSC128; DY086_Pelagra006; DY086_Pelagra007; DY086_Pelagra008; DY086_Pelagra009; DY086_Pelagra010; DY086_Pelagra011; DY086_Pelagra012; DY086_Pelagra013; DY086_Pelagra014; DY086_Pelagra015; DY086_Pelagra016; DY086_Pelagra017; DY086_Pelagra018; DY086_Pelagra019; DY086_Pelagra020; DY086_Pelagra021; DY086_Pelagra022; DY086_Pelagra023; DY086_Pelagra024; DY086_Pelagra025; DY086_Pelagra026; DY086_Pelagra027; DY086_Pelagra028; DY086_Pelagra029; DY086_Pelagra030; DY086_Pelagra031; DY086_Pelagra032; DY086_Pelagra033; DY086_Pelagra034; DY086_Pelagra035; DY086_Pelagra036; DY086_Pelagra037; DY086_Pelagra038; DY086_SAPS001; DY086_SAPS002; DY086_SAPS003; DY086_SAPS004; DY086_SAPS005; Event label; fluxes; Latitude of event; Longitude of event; marine biogeochemistry; Marine snow catcher; MSC; PELAGRA; SAPS; Site; Stand-alone pumps; SUMMER; Sustainable Management of Mesopelagic Resources; Trap, sediment, drifting
    Type: Dataset
    Format: text/tab-separated-values, 366 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-07-06
    Keywords: Bottle, Niskin; Calculated after Luo et al. (2012); Date/Time of event; DEPTH, water; DI2005-01-28/01; DI2005-01-28/02; DI2005-01-28/03; DI2005-01-28/04; DI2005-01-28/05; DI2005-01-28/06; DI2005-01-28/07; DI2005-01-28/08; DI2005-01-28/09; DI2005-01-29/01; DI2005-01-29/02; DI2005-01-29/03; DI2005-01-29/04; DI2005-01-29/05; DI2005-01-29/06; DI2005-01-29/07; DI2005-01-29/08; DI2005-01-29/09; DI2005-01-29/10; DI2005-01-29/11; DI2005-01-29/12; DI2005-01-29/13; DI2005-01-29/14; DI2005-01-29/15; DI2005-01-29/16; DI2005-01-29/17; DI2005-01-29/18; DI2005-01-29/19; DI2005-01-29/20; DI2005-01-29/21; DI2005-01-29/22; DI2005-01-29/23; DI2005-01-30/01; DI2005-01-30/02; DI2005-01-30/03; DI2005-01-30/04; DI2005-01-30/05; DI2005-01-30/06; DI2005-01-30/07; DI2005-01-30/08; DI2005-01-30/09; DI2005-01-30/10; DI2005-01-30/11; DI2005-01-30/12; DI2005-01-30/13; DI2005-01-30/14; DI2005-01-30/15; DI2005-01-30/16; DI2005-01-30/17; DI2005-01-30/18; DI2005-01-30/19; DI2005-01-30/20; DI2005-01-30/21; DI2005-01-30/22; DI2005-01-30/23; DI2005-01-31/01; DI2005-01-31/02; DI2005-01-31/03; DI2005-01-31/04; DI2005-01-31/05; DI2005-01-31/06; DI2005-01-31/07; DI2005-01-31/08; DI2005-02-01/01; DI2005-02-01/02; DI2005-02-01/03; DI2005-02-01/04; DI2005-02-01/05; DI2005-02-01/06; DI2005-02-01/07; DI2005-02-01/08; DI2005-02-01/09; DI2005-02-01/10; DI2005-02-01/11; DI2005-02-01/12; DI2005-02-02/02; DI2005-02-02/03; DI2005-02-02/04; DI2005-02-02/05; DI2005-02-02/06; DI2005-02-02/07; DI2005-02-02/08; DI2005-02-02/09; DI2005-02-02/10; DI2005-02-02/11; DI2005-02-02/12; DI2005-02-02/13; DI2005-02-02/14; DI2005-02-02/15; DI2005-02-03/01; DI2005-02-03/02; DI2005-02-03/03; DI2005-02-03/04; DI2005-02-03/05; DI2005-02-03/06; DI2005-02-03/07; DI2005-02-03/08; DI2005-02-03/09; DI2005-02-03/10; DI2005-02-03/11; DI2005-02-03/12; DI2005-02-03/13; DI2005-02-03/14; DI2005-02-03/15; DI2005-02-04/01; DI2005-02-04/02; DI2005-02-04/03; DI2005-02-04/04; DI2005-02-05/01; DI2005-02-05/02; DI2005-02-05/03; DI2005-02-05/04; DI2005-02-05/05; DI2005-02-05/06; DI2005-02-05/07; DI2005-02-05/08; DI2005-02-05/09; DI2005-02-05/10; DI2005-02-05/11; DI2005-02-05/12; DI2005-02-05/13; DI2005-02-05/14; DI2005-02-05/15; DI2005-02-05/16; DI2005-02-05/17; DI2005-02-06/01; DI2005-02-06/02; DI2005-02-06/03; DI2005-02-06/04; DI2005-02-06/05; DI2005-02-06/06; DI2005-02-06/07; DI2005-02-06/08; DI2005-02-06/09; DI2005-02-06/10; DI2005-02-06/11; DI2005-02-06/12; DI2005-02-06/13; DI2005-02-06/14; DI2005-02-06/15; DI2005-02-06/16; DI2005-02-06/17; DI2005-02-06/18; DI2005-02-06/19; DI2005-02-06/20; DI2005-02-06/21; DI2005-02-06/22; DI2005-02-06/23; DI2005-02-06/24; DI2005-02-07/01; DI2005-02-07/02; DI2005-02-07/03; DI2005-02-07/04; DI2005-02-07/05; DI2005-02-07/06; DI2005-02-07/07; DI2005-02-07/08; DI2005-02-07/09; DI2005-02-07/10; DI2005-02-07/11; DI2005-02-07/12; DI2005-02-07/13; DI2005-02-07/14; DI2005-02-07/15; DI2005-02-07/16; DI2005-02-07/17; DI2005-02-07/18; DI2005-02-07/19; DI2005-02-07/20; DI2005-02-07/21; DI2005-02-07/22; DI2005-02-07/23; DI2005-02-07/24; DI2005-02-08/01; DI2005-02-08/02; DI2005-02-08/03; DI2005-02-08/04; DI2005-02-08/05; DI2005-02-08/06; DI2005-02-08/07; DI2005-02-08/08; DI2005-02-08/09; DI2005-02-08/10; DI2005-02-08/11; DI2005-02-08/12; DI2005-02-08/13; DI2005-02-08/14; DI2005-02-08/15; DI2005-02-08/16; DI2005-02-08/17; DI2005-02-08/18; DI2005-02-08/19; DI2005-02-08/20; DI2005-02-08/21; DI2005-02-08/22; DI2005-02-08/23; DI2005-02-08/24; DI2005-02-09/01; DI2005-02-09/02; DI2005-02-09/03; DI2005-02-09/04; DI2005-02-09/05; DI2005-02-09/06; DI2005-02-09/07; DI2005-02-09/08; DI2005-02-09/09; DI2005-02-09/10; DI2005-02-09/11; DI2005-02-09/12; DI2005-02-09/13; DI2005-02-09/14; DI2005-02-09/15; DI2005-02-09/16; DI2005-02-09/17; DI2005-02-10/01; DI2005-02-10/02; DI2005-02-10/03; DI2005-02-10/04; DI2005-02-10/05; DI2005-02-10/06; DI2005-02-10/07; DI2005-02-10/08; DI2005-02-10/09; DI2005-02-11/01; DI2005-02-11/02; DI2005-02-11/03; DI2005-02-11/04; DI2005-02-11/05; DI2005-02-11/06; DI2005-02-11/07; DI2005-02-11/08; DI2005-02-11/09; DI2005-02-11/10; DI2005-02-11/11; DI2005-02-12/01; DI2005-02-12/02; DI2005-02-12/03; DI2005-02-12/04; DI2005-02-12/05; DI2005-02-12/06; DI2005-02-12/07; DI2005-02-12/08; DI2005-02-12/09; DI2005-02-12/10; DI2005-02-12/11; DI2005-02-12/12; DI2005-02-12/13; DI2005-02-13/01; DI2005-02-13/02; DI2005-02-13/03; DI2005-02-13/04; DI2005-02-13/05; DI2005-02-13/06; DI2005-02-13/07; DI2005-02-13/08; DI2005-02-13/09; DI2005-02-13/10; DI2005-02-13/11; DI2005-02-13/12; DI2005-02-14/01; DI2005-02-14/02; DI2005-02-14/03; DI2005-02-14/04; DI2005-02-14/05; DI2005-02-14/06; DI2005-02-14/07; DI2005-02-14/08; DI2005-02-14/09; DI2005-02-14/10; DI2005-02-14/11; DI2005-02-14/12; DI2005-02-14/13; DI2005-02-14/14; DI2005-02-14/15; DI2005-02-14/16; DI2005-02-14/17; DI2005-02-14/18; DI2005-02-14/19; DI2005-02-15/01; DI2005-02-15/02; DI2005-02-15/03; DI2005-02-15/04; DI2005-02-15/05; DI2005-02-15/06; DI2005-02-15/07; DI2005-02-15/08; DI2005-02-15/09; DI2005-02-15/10; DI2005-02-15/11; DI2005-02-15/12; DI2005-02-15/13; DI2005-02-15/14; DI2005-02-15/15; DI2005-02-15/16; DI2005-02-15/17; DI2005-02-15/18; DI2005-02-15/19; DI2005-02-15/20; DI2005-02-15/21; DI2005-02-15/22; DI2005-02-15/23; DI2005-02-15/24; DI2005-02-15/25; DI2005-02-16/01; DI2005-02-16/02; DI2005-02-16/03; DI2005-02-16/04; DI2005-02-16/05; DI2005-02-16/06; DI2005-02-16/07; DI2005-02-16/08; DI2005-02-16/09; DI2005-02-16/10; DI2005-02-16/11; DI2005-02-16/12; DI2005-02-16/13; DI2005-02-16/14; DI2005-02-17/01; DI2005-02-17/02; DI2005-02-17/03; DI2005-02-17/04; DI2005-02-17/05; DI2005-02-17/06; DI2005-02-17/07; DI2005-02-17/08; DI2005-02-17/09; DI2005-02-17/10; DI2005-02-17/11; DI2005-02-17/12; DI2005-02-17/13; DI2005-02-17/14; DI2005-02-17/15; DI2005-02-17/16; DI2005-02-17/17; DI2005-02-18/01; DI2005-02-18/02; DI2005-02-18/03; DI2005-02-18/04; DI2005-02-18/05; DI2005-02-18/06; DI2005-02-18/07; Diazotrophs, total biomass as carbon; Event label; Heterocyst, biomass; Indian Ocean; Latitude of event; Light microscope; Longitude of event; MAREDAT_Diazotrophs_Collection; NIS; Nitrate; Phosphate; Richelia, associated species; Richelia, carbon per cell; Richelia abundance, cells; Trichodesmium, biomass as carbon; Trichodesmium, carbon per trichome; Trichodesmium abundance, colonies; Trichodesmium abundance, free trichomes; Trichodesmium abundance, total
    Type: Dataset
    Format: text/tab-separated-values, 3975 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2022-05-25
    Description: Author Posting. © American Geophysical Union, 2010. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 37 (2010): L08602, doi:10.1029/2010GL042574.
    Description: The oceanic biological carbon pump (BCP), a large (10 GT C yr−1) component of the global carbon cycle, is dominated by the sinking (export) of particulate organic carbon (POC) from surface waters. In the deep ocean, strong correlations between downward fluxes of biominerals and POC (the so-called ‘ballast effect’) suggest a potential causal relationship, the nature of which remains uncertain. We show that similar correlations occur in the upper ocean with high rates of export only occurring when biominerals are also exported. Exported particles are generally biomineral rich relative to the upper ocean standing stock, due either to: (1) exported material being formed from the aggregation of a biomineral rich subset of upper ocean particles; or (2) the unfractionated aggregation of the upper ocean particulate pool with respiration then selectively removing POC relative to biominerals until particles are dense enough to sink.
    Description: This research was supported by the UK Natural Environment Research Council.
    Keywords: Biological carbon pump ; Ballast ; Calcite ; Opal ; Upper ocean
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
    Format: text/plain
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  • 6
    Publication Date: 2016-04-01
    Description: The high-latitude North Atlantic (HLNA) is characterized by a marked seasonal phytoplankton bloom, which removes the majority of surface macronutrients. However, incomplete nitrate depletion is frequently observed during summer in the region, potentially reflecting the seasonal development of an iron (Fe) limited phytoplankton community. In order to investigate the seasonal development and spatial extent of iron stress in the HLNA, nutrient addition experiments were performed during the spring (May) and late summer (July and August) of 2010. Grow-out experiments (48–120 h) confirmed the potential for iron limitation in the region. Short-term (24 h) incubations further enabled high spatial coverage and mapping of phytoplankton physiological responses to iron addition. The difference in the apparent maximal photochemical yield of photosystem II (PSII) (Fv : Fm) between nutrient (iron) amended and control treatments (D(Fv : Fm)) was used as a measure of the relative degree of iron stress. The combined observations indicated variability in the seasonal cycle of iron stress between different regions of the Irminger and Iceland Basins of the HLNA, related to the timing of the annual bloom cycle in contrasting biogeochemical provinces. Phytoplankton iron stress developed during the transition from the prebloom to peak bloom conditions in the HLNA and was more severe for larger cells. Subsequently, iron stress was reduced in regions where macronutrients were depleted following the bloom. Iron availability plays a significant role in the biogeochemistry of the HLNA, potentially lowering the efficiency of one of the strongest biological carbon pumps in the ocean.
    Type: Article , PeerReviewed
    Format: text
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  • 7
    Publication Date: 2020-11-23
    Description: Greenland’s ice sheet is the second largest on Earth, and is under threat from a warming Arctic climate. An increase in freshwater discharge from Greenland has the potential to strongly influence the composition of adjacent water masses with the largest impact on marine ecosystems likely to be found within the glaciated fjords. Here we demonstrate that physical and chemical estuarine processes within a large Greenlandic fjord are critical factors in determining the fate of meltwater derived nutrients and particles, especially for non-conservative elements such as Fe. Concentrations of Fe and macronutrients in surface waters along Godthåbsfjord, a southwest Greenlandic fjord with freshwater input from 6 glaciers, changed markedly between the onset and peak of the meltwater season due to the development of a thin (〈10 m), outflowing, low-salinity surface layer. Dissolved (〈0.2 µm) Fe concentrations in meltwater entering Godthåbsfjord (200 nM), in freshly melted glacial ice (mean 38 nM) and in surface waters close to a land terminating glacial system (80 nM) all indicated high Fe inputs into the fjord in summer. Total dissolvable (unfiltered at pH 〈2.0) Fe was similarly high with concentrations always in excess of 100 nM throughout the fjord and reaching up to 5.0 µM close to glacial outflows in summer. Yet, despite the large seasonal freshwater influx into the fjord, Fe concentrations near the fjord mouth in the out-flowing surface layer were similar in summer to those measured before the meltwater season. Furthermore, turbidity profiles indicated that sub-glacial particulate Fe inputs may not actually mix into the outflowing surface layer of this fjord. Emphasis has previously been placed on the possibility of increased Fe export from Greenland as meltwater fluxes increase. Here we suggest that in-fjord processes may be effective at removing Fe from surface waters before it can be exported to coastal seas.
    Type: Article , PeerReviewed
    Format: text
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