| Contributors | Affiliation | Role |
|---|---|---|
| Letscher, Robert T. | University of New Hampshire (UNH) | Principal Investigator |
| Curran, Kieran | University of New Hampshire (UNH) | Scientist |
| York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
TEP = transparent exopolymer particle
CSP = Coomassie stainable particle
NPSG = North Pacific Subtropical Gyre
Station ALOHA = Station ALOHA = Station ALOHA is the focal point of a range of oceanographic studies conducted over great temporal scale that intend to understand and explain the trends of the greater North Pacific Ocean.
NSF = National Science Foundation
TDP = total dissolved phosphorus
TDN = total dissolved nitrogen
GF/F = glass fiber filter
TEP and CSP particles were collected onto 0.4 µm polycarbonate filters from 1 liter each of whole water collected via the CTD/Rosette Niskin bottles into 1 L polycarbonate media bottles. Filtration was achieved using a peristaltic pump and silicone tubing through a 25 mm polycarbonate filter holder. Filters containing particles were immediately stained with Alcian blue (TEP) or Coomassie blue (CSP) dyes and stored frozen at -20degC until analysis on shore back at the University of New Hampshire. TEP and CSP particle concentrations were measured following the spectrophotometric method of Bittar et al. 2018 in Limnology & Oceanography Methods (doi:10.1002/lom3.10268) and standardized with xanthan gum and bovine albumen respectively. Total dissolved carbohydrates were measured using the spectrophotometric method of Myklestad et al. 1997 in Marine Chemistry (doi:10.1016/S0304-4203(96)00074-6). Seawater samples were previously filtered via gravity filtration and silicone tubing connected to Niskin bottles at sea, passed through a 47mm glass fiber filter (GF/F; 0.7 µm) held in a polycarbonate filter holder, into 40 mL glass EPA vials with silicone septa tops and frozen at -20degC until analysis on shore back at the University of New Hampshire. Temperature, salinity, fluorescence, and dissolved oxygen were measured by the ship's CTD sensor package on the downcast. Dissolved nitrate + nitrite, phosphate, silicate, and ammonium were measured by the University of Hawaii-Manoa's S-LAB using a Seal Analytical AA3 HR Nutrient Autoanalyzer using standard colorimetric protocols (https://www.soest.hawaii.edu/S-LAB/equipment/slab_autoanalyzer.htm). Dissolved organic phosphorus and dissolved organic nitrogen were computed after subtracting the relevant inorganic nutrient concentrations from the measured total dissolved phosphorus (TDP) and total dissolved nitrogen concentrations (TDN). TDP was measured using the ash-hydrolysis method of Solorzano and Sharp 1980 (doi:10.4319/lo.1980.25.4.0754) and TDN was measured by persulfate oxidation using the protocols within Knapp et al. 2005 (doi:10.1029/2004GB002320) with chemiluminescent detection of the resulting nitrate after reduction to NOx gas using the Braman and Hendrix 1989 method (Braman, R. S., & Hendrix, S. A. (1989, doi: 10.1021/ac00199a007); both at the University of New Hampshire.
* Table within submitted file "KM2108.csv" was imported into the BCO-DMO data system for this dataset. Values "-999" imported as missing data values. Table will appear as Data File: 968636_v1_tep_and_csp_npsg.csv (along with other download format options).
Missing Data Identifiers:
* In the BCO-DMO data system missing data identifiers are displayed according to the format of data you access. For example, in csv files it will be blank (null) values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as blank (null) values.
* Column names adjusted to conform to BCO-DMO naming conventions designed to support broad re-use by a variety of research tools and scripting languages. [Only numbers, letters, and underscores. Can not start with a number]
* Date converted to ISO 8601 format
* trailing zeros added for lat lon to clarify precision for all values should be hundredths place. The data submitter explained the integers in the lat, lon columns not rounded to degree (e.g. -158 is precision 158.00).
| File |
|---|
968636_v1_tep_and_csp_npsg.csv (Comma Separated Values (.csv), 173.03 KB) MD5:e7631b268c533c1d9534524367fbf8ca Primary data file for dataset ID 968636, version 1. TEP, CSP, total dissolved carbohydrates, DON, DOP, and nutrients measured in the North Pacific subtropical gyre north of Station ALOHA. |
| Parameter | Description | Units |
| Cruise | Cruise identifier | unitless |
| Station | station identifier | unitless |
| Date | Date (ISO 8601 format) | unitless |
| Longitude | longitude | decimal degrees |
| Latitude | latitude | decimal degrees |
| Pressure | pressure | decibars (dbar) |
| Depth | Depth | meters (m) |
| Salinity | salinity | Practical Salinity Units (PSU) |
| Temperature | Temperature | degrees Celsius |
| Fluorescence | Fluorescence | relative fluorescence units (RFU) |
| Oxygen | Dissolved oxygen | micromolar (uM) |
| Total_Dissolved_Phosphorus | Total Dissolved Phosphorus (TDP) | micromolar (uM) |
| Phosphate | Phosphate (PO4) | micromolar (uM) |
| Dissolved_Organic_Phosphorus | Dissolved Organic Phosphorus (DOP) | micromolar (uM) |
| Silicate | Silicate | micromolar (uM) |
| Nitrate_plus_Nitrite | Nitrate + Nitrite (NO3+NO2) | micromolar (uM) |
| Total_Dissolved_Nitrogen | Total Dissolved Nitrogen (TDN) | micromolar (uM) |
| Dissolved_Organic_Nitrogen | Dissolved Organic Nitrogen (DON) | micromolar (uM) |
| Ammonium | Ammonium (NH4) concentration | micromolar (uM) |
| Transparent_Exopolymer_Particles | Transparent Exopolymer Particles | micrograms xanthan gum equivalents per liter (ug XG equiv./L) |
| Coomassie_Stainable_Particles | Coomassie Stainable Particles | micrograms bovine albumen equivalents per liter (ug BA equiv./L) |
| Total_Dissolved_Carbohydrates | Total Dissolved Carbohydrates | micromolar (uM C) |
| Dataset-specific Instrument Name | Thermo Scientific 42iQ NO-NO2-NOx Analyzer |
| Generic Instrument Name | Chemiluminescence NOx Analyzer |
| Generic Instrument Description | The chemiluminescence method for gas analysis of oxides of nitrogen relies on the measurement of light produced by the gas-phase titration of nitric oxide and ozone. A chemiluminescence analyzer can measure the concentration of NO/NO2/NOX.
One example is the Teledyne Model T200: https://www.teledyne-api.com/products/nitrogen-compound-instruments/t200 |
| Dataset-specific Instrument Name | Masterflex L/S MasterSense Peristaltic Pump |
| Generic Instrument Name | Pump |
| Generic Instrument Description | A pump is a device that moves fluids (liquids or gases), or sometimes slurries, by mechanical action. Pumps can be classified into three major groups according to the method they use to move the fluid: direct lift, displacement, and gravity pumps |
| Dataset-specific Instrument Name | Sea Bird SBE 3plus CTD Temperature Sensor |
| Generic Instrument Name | Sea-Bird SBE 3plus Temperature Sensor |
| Generic Instrument Description | The Sea-Bird SBE 3plus water temperature sensor is designed for use on the SBE 9plus CTD system. The sensor operates over the range -5 to +35 °C, a resolution of 0.0003 °C at 24 Hz and an initial accuracy of ± 0.001 °C. The typical sampling rate is 24 Hz, and the sensor has a depth rating of 6800 meters (aluminium housing) or 10500 meters (titanium housing). |
| Dataset-specific Instrument Name | |
| Generic Instrument Name | Sea-Bird SBE 43 Dissolved Oxygen Sensor |
| Generic Instrument Description | The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics |
| Dataset-specific Instrument Name | |
| Generic Instrument Name | Sea-Bird SBE-4 Conductivity Sensor |
| Generic Instrument Description | The Sea-Bird SBE-4 conductivity sensor is a modular, self-contained instrument that measures conductivity from 0 to 7 Siemens/meter. The sensors (Version 2; S/N 2000 and higher) have electrically isolated power circuits and optically coupled outputs to eliminate any possibility of noise and corrosion caused by ground loops. The sensing element is a cylindrical, flow-through, borosilicate glass cell with three internal platinum electrodes. Because the outer electrodes are connected together, electric fields are confined inside the cell, making the measured resistance (and instrument calibration) independent of calibration bath size or proximity to protective cages or other objects. |
| Dataset-specific Instrument Name | Seal Analytical AA3 HR Nutrient Autoanalyzer |
| Generic Instrument Name | Seal Analytical AutoAnalyser 3HR |
| Generic Instrument Description | A fully automated Segmented Flow Analysis (SFA) system, ideal for water and seawater analysis. It comprises a modular system which integrates an autosampler, peristaltic pump, chemistry manifold and detector. The sample and reagents are pumped continuously through the chemistry manifold, and air bubbles are introduced at regular intervals forming reaction segments which are mixed using glass coils. The AA3 uses segmented flow analysis principles to reduce inter-sample dispersion, and can analyse up to 100 samples per hour using stable LED light sources. |
| Dataset-specific Instrument Name | Shimadzu UV-1800 Dual Beam UV-Vis Spectrophotometer |
| Generic Instrument Name | UV Spectrophotometer-Shimadzu |
| Generic Instrument Description | The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information. |
| Dataset-specific Instrument Name | Sea Bird ECO FL Fluorometer |
| Generic Instrument Name | Wet Labs ECO-AFL/FL Fluorometer |
| Generic Instrument Description | The Environmental Characterization Optics (ECO) series of single channel fluorometers delivers both high resolution and wide ranges across the entire line of parameters using 14 bit digital processing. The ECO series excels in biological monitoring and dye trace studies. The potted optics block results in long term stability of the instrument and the optional anti-biofouling technology delivers truly long term field measurements.
more information from Wet Labs |
| Website | |
| Platform | R/V Kilo Moana |
| Start Date | 2021-06-05 |
| End Date | 2021-06-16 |
| Description | A 12-day June 2021 cruise aboard the R/V Kilo Moana (KM-2108) that visited Station ALOHA to 31 N nominally along 158 W in the subtropical North Pacific.
Cruise information provided by Chief Scientist Robert Letscher as it was not yet available at R2R. |
NSF Award Abstract:
The ocean is usually layered, with light and oxygen in the warmer surface and nutrients at the cooler depths. Biological and physical processes determine this distribution. Marine algae grow in the well-lit upper layers but need nutrients to grow. However, in the subtropics, the ocean's largest biome, the relationship between oxygen and nitrate (a key nutrient required for photosynthesis) is different from expected. Two processes could explain this. Nutrients could be transported upward by migrating giant single-celled algae (phytoplankton). Another explanation is that the production of an organic material called transparent exopolymer (TEP) takes up carbon without using nutrients or exporting carbon to depth, as would occur in photosynthesis. While both processes could be occurring, the relative contribution of migrating phytoplankton versus TEP would tell us whether the observed oxygen pattern in the upper ocean results from photosynthesis. This problem relates to the general question of where and how nutrients reach the well-lit surface waters to enable photosynthesis. These hypotheses are tested at the Hawaii Ocean Time-Series using in-situ camera systems to image and quantify the giant phytoplankton and direct water samples to measure the vertical distribution of TEP. The data are entered into numerical models to calculate the nitrate to oxygen relationships and add information about the carbon cycle. In addition to training of undergraduate students and a postdoctoral fellow, the cruises provide an opportunity to prepare a cadre of communication fellows who will develop materials and media, including videos, to translate this highly complex scientific concepts for the general public. The social media campaign #SaveOur70 provides a valuable venue to reach and engage with the public.
Quantifying nutrient transport, utilization, and its relationship to carbon drawdown in the subtropical gyres is fundamental to our understanding of the carbon cycle. Geochemical distributions from the well-characterized time-series sites near Hawaii and Bermuda have long-served to identify previously unknown links between subsurface nitrate fields, summertime dissolved inorganic carbon (DIC) drawdown, and net community production in the absence of known nutrient sources. Two recently suggested processes rise to prominence to explain anomalies in subtropical distributions of dissolved carbon, oxygen, and nitrate in the upper ocean: 1) nutrient transport by giant phytoplankton that vertically migrate, and 2) cycling of low N organic matter between the mixed layer and the upper nutricline as transparent exopolymer particles (TEP) or gel-like organic material (GLOM). While linked at a fundamental level (phytoplankton are TEP producers), the outcome of the two processes are distinct. Vertical migration of phytoplankton is an active transport of nitrate, acquired in the nutricline, to the surface. There is an implication of subsequent reduction, photosynthetic carbon fixation and eventual export. TEP/GLOM cycling results in apparent DIC drawdown but there is no net export out of the surface layer and no requirement for additional nutrient sources in the mixed layer. This project collects the data to quantify the contribution of these two processes to the observed anomalies in nitrate to oxygen distribution at the time-series station at Hawaii (HOT). This is accomplished by enumerating the vertically migrating, aflagellate flora (VMF), implementing a 1-D model on vertical migration, and coupling these results with a 1-D model of the contribution of N-poor carbon cycling patterns in the upper water column derived from TEP and carbohydrate measurements. The combined VMF and TEP/GLOM 1-D models are used to model the dissolved oxygen, carbon, and nitrate budgets at HOT allowing for attribution of both hypothesized processes to the observed preformed nitrate distribution, its formation rate, and summertime inorganic carbon drawdown.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |