Contributors | Affiliation | Role |
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Close, Hilary G. | University of Miami Rosenstiel School of Marine and Atmospheric Science (UM-RSMAS) | Principal Investigator |
Popp, Brian N. | University of Hawaiʻi at Mānoa (SOEST) | Co-Principal Investigator |
Wojtal, Paul K. | University of Miami Rosenstiel School of Marine and Atmospheric Science (UM-RSMAS) | Student |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
In situ pump filtration was performed using large volume pumps (WTS-LV; McLane Research Laboratories, Inc.) outfitted with mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System) filter holders (Bishop et al. 2012). Pumps were loaded with filter stacks of either 3 filter pore sizes (51- and 5-um acid cleaned Nitex screens and 1 um pre-combusted quartz fiber filter) or 4 filter pore sizes (51- and 6-um acid cleaned Nitex screens, a double layer of 1 um pre-combusted quartz fiber filters, and a double layer of 0.3 um of pre-combusted glass fiber filters). Samples were frozen at -80 degrees Celsius until laboratory analysis. Sediment trap collection was performed using surface tethered sediment traps (STT) and neutrally buoyant sediment traps (NBST). Particles were collected in polycarbonate tubes with a collection area of 0.0113 m² and triggered to close at the end of the sampling period. Samples were collected in 500 mL of 70 ppt salinity, 0.1% formaldehyde-poisoned brine, buffered to pH 8.5 with borate and overlain with 1‑um filtered surface seawater. After collection and allowing particles to sink to the bottom of the tube on board the ship for an hour, brine was filtered through a 335‑um polyester screen and rotary wet split onto pre-combusted glass fiber filters with a pore size of 0.7 um. Samples were frozen at -80 degrees Celsius until laboratory analysis.
6 um and 51 um Nitex filters were washed down onto 0.7 um GFFs and inspected using a dissecting microscope, removing foreign (non-natural) material. Samples were freeze-dried and then stored at -20 degrees Celsius for the remainder of preparation. Samples were hydrolyzed using 6N HCl at 110 degrees Celsius for 20 hours, filtered, purified (to remove organic molecules other than amino acids and amino acid like molecules) using cation exchange chromatography. Amino acids in samples were derivatized to their isopropyl ester-trifluoroacetyl derivatives in a two-step derivatization: esterification with 4:1 isopropanol:acetyl chloride (110 degrees C, 60 minutes) and acetylation with 3:1 dichloromethane:trifluoroacetic anhydride (100 degrees C, 15 minutes), with the headspace exacuated with N₂ prior to each reaction. They were de-salted using phosphate buffer and chloroform and then re-acetylated. The solvent was exchanged for ethyl acetate immediately prior to analysis.
Analyses were carried out using a Thermo Fisher Scientific Trace 1310 Gas Chromatograph (GC) coupled to a MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) through a Thermo Fisher GC Isolink II system with a combined oxidation/reduction reactor held at 1000 degrees C, a liquid nitrogen trap, and a Conflo IV open split interface.
Data Processing:
Data were processed through Thermo Fisher Isodat 3.0 and Microsoft Excel.
BCO-DMO Processing:
- replaced "n/a" with "nd" as missing data value ("no data");
- replaced hyphens with underscores in parameter names to comply with BCO-DMO naming conventions;
- changed all date fields to format YYYY-MM-DD.
File |
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particle_AA_d15N.csv (Comma Separated Values (.csv), 15.83 KB) MD5:fddef138ff5d7e6f78b103248624ccdb Primary data file for dataset ID 880041 |
Parameter | Description | Units |
Cruise | Cruise designation | Unitless |
Cruise_SampleID | Sample Number given to each filter | Unitless |
R2R_Event | R2R catalog identifier for this cruise | Unitless |
Latitude | Latitude in decimal degrees North | Decimal degrees North |
Longitude | Longitude in decimal degrees West | Decimal degrees West |
ISO_DateTime_UTC | Date and time (UTC) of sampling in ISO8601 format: YYYY-MM-DDThh:mm:ssZ | Unitless |
Date | Sampling date (UTC); format: YYYY-MM-DD | Unitless |
Time | Sampling time (UTC); format: hh:mm:ss | Unitless |
Depth | Depth of pump deployment | meters (m) |
Size_Fraction_Min | Minimum size fraction captured on filter | micrometers (mm) |
Size_Fraction_Max | Maximum size fraction captured on filter | micrometers (mm) |
Volume_Filtered | Volume of water filtered through the filter | liters (L) |
Start_R2R_Event | R2R catalog identifier for the start of the sediment trap deployment for this cruise | Unitless |
End_R2R_Event | R2R catalog identifier for the end of the sediment trap deployment for this cruise | Unitless |
Deploy_Latitude | Latitude at time of sediment trap deployment in decimal degrees North | Decimal degrees North |
Deploy_Longitude | Longitude at time of sediment trap deployment in decimal degrees West | Decimal degrees West |
Resurfaced_Latitude | Latitude at time of sediment trap resurface in decimal degrees North | Decimal degrees North |
Resurfaced_Longitude | Longitude at time of sediment trap resurface in decimal degrees West | Decimal degrees West |
Recover_Latitude | Latitude at time of sediment trap recovery in decimal degrees North | Decimal degrees North |
Recover_Longitude | Longitude at time of sediment trap recovery in decimal degrees West | Decimal degrees West |
ISO_DateTime_UTC_Deployed | Date and time (UTC) of sediment trap deployment in ISO8601 format: YYYY-MM-DDThh:mm:ssZ | Unitless |
Date_Deployed | Sediment trap deployment date (UTC); format: YYYY-MM-DD | Unitless |
Time_Deployed | Sediment trap deployment time (UTC); format: hh:mm:ss | Unitless |
ISO_DateTime_UTC_AtDepth | Date and time (UTC) of sediment trap reaching sampling depth in ISO8601 format: YYYY-MM-DDThh:mm:ssZ | Unitless |
Date_AtDepth | Sediment trap reaching sampling depth date (UTC); format: YYYY-MM-DD | Unitless |
Time_AtDepth | Sediment trap reaching sampling depth time (UTC); format: hh:mm:ss | Unitless |
ISO_DateTime_UTC_LidsClosed | Date and time (UTC) of sediment trap tube lids closing in ISO8601 format: YYYY-MM-DDThh:mm:ssZ | Unitless |
Date_LidsClosed | Sediment trap tube lids closing date (UTC); format: YYYY-MM-DD | Unitless |
Time_LidsClosed | Sediment trap tube lids closing time (UTC); format: hh:mm:ss | Unitless |
ISO_DateTime_UTC_Resurfaced | Date and time (UTC) of sediment trap resurfacing in ISO8601 format: YYYY-MM-DDThh:mm:ssZ | Unitless |
Date_Resurfaced | Sediment trap resurfacing date (UTC); format: YYYY-MM-DD | Unitless |
Time_Resurfaced | Sediment resurfacing time (UTC); format: hh:mm:ss | Unitless |
ISO_DateTime_UTC_Recovered | Date and time (UTC) of sediment trap recovery in ISO8601 format: YYYY-MM-DDThh:mm:ssZ | Unitless |
Date_Recovered | Sediment trap recovery date (UTC); format: YYYY-MM-DD | Unitless |
Time_Recovered | Sediment recovery time (UTC); format: hh:mm:ss | Unitless |
Target_Depth | Target sampling depth for sediment traps | meters (m) |
Actual_Depth | Actual sampling depth for sediment traps | meters (m) |
Time_Elapsed_Deploy_to_Recover | Time elapsed between sediment trap being deployed and sediment trap being recovered | days (d) |
Flux | Area of collection of the sediment traps divided by the number of days of collection | square meters per day (m2/d) |
d15N_Ala | The nitrogen isotopic composition of alanine | permil relative to AIR (‰) |
d15N_Gly | The nitrogen isotopic composition of glycine | permil relative to AIR (‰) |
d15N_Thr | The nitrogen isotopic composition of threonine | permil relative to AIR (‰) |
d15N_Ser | The nitrogen isotopic composition of serine | permil relative to AIR (‰) |
d15N_Val | The nitrogen isotopic composition of valine | permil relative to AIR (‰) |
d15N_Leu | The nitrogen isotopic composition of leucine | permil relative to AIR (‰) |
d15N_Iso | The nitrogen isotopic composition of isoleucine | permil relative to AIR (‰) |
d15N_Pro | The nitrogen isotopic composition of proline | permil relative to AIR (‰) |
d15N_Asx | The nitrogen isotopic composition of aspartic acid and asparagine | permil relative to AIR (‰) |
d15N_Met | The nitrogen isotopic composition of methionine | permil relative to AIR (‰) |
d15N_Glx | The nitrogen isotopic composition of glutamic acid and glutamine | permil relative to AIR (‰) |
d15N_Phe | The nitrogen isotopic composition of phenylalanine | permil relative to AIR (‰) |
d15N_Tyr | The nitrogen isotopic composition of tyrosine | permil relative to AIR (‰) |
d15N_Lys | The nitrogen isotopic composition of lysine | permil relative to AIR (‰) |
SD_d15N_Ala | The standard deviation of the nitrogen isotopic composition of alanine | permil relative to AIR (‰) |
SD_d15N_Gly | The standard deviation of the nitrogen isotopic composition of glycine | permil relative to AIR (‰) |
SD_d15N_Thr | The standard deviation of the nitrogen isotopic composition of threonine | permil relative to AIR (‰) |
SD_d15N_Ser | The standard deviation of the nitrogen isotopic composition of serine | permil relative to AIR (‰) |
SD_d15N_Val | The standard deviation of the nitrogen isotopic composition of valine | permil relative to AIR (‰) |
SD_d15N_Leu | The standard deviation of the nitrogen isotopic composition of leucine | permil relative to AIR (‰) |
SD_d15N_Iso | The standard deviation of the nitrogen isotopic composition of isoleucine | permil relative to AIR (‰) |
SD_d15N_Pro | The standard deviation of the nitrogen isotopic composition of proline | permil relative to AIR (‰) |
SD_d15N_Asx | The standard deviation of the nitrogen isotopic composition of aspartic acid and asparagine | permil relative to AIR (‰) |
SD_d15N_Met | The standard deviation of the nitrogen isotopic composition of methionine | permil relative to AIR (‰) |
SD_d15N_Glx | The standard deviation of the nitrogen isotopic composition of glutamic acid and glutamine | permil relative to AIR (‰) |
SD_d15N_Phe | The standard deviation of the nitrogen isotopic composition of phenylalanine | permil relative to AIR (‰) |
SD_d15N_Tyr | The standard deviation of the nitrogen isotopic composition of tyrosine | permil relative to AIR (‰) |
SD_d15N_Lys | The standard deviation of the nitrogen isotopic composition of lysine | permil relative to AIR (‰) |
d15N_THAA | The isotopic compositon of the molar weighted sum of measured amino acids | permil relative to AIR (‰) |
Total_AA_Conc | The sum of all measured amino acids in samples collected by in situ pump filtration | micromoles per cubic meter (mmol/m3) |
Total_AA_Flux | The sum of all measured amino acids in samples collected by sediment trap | nanomoles per square meter per day (nmol/m2/d) |
Total_AA_OnFilter | The sum of all measured amino acids in samples on the entire filter | nanomoles (nmol) |
Dataset-specific Instrument Name | Thermo Fisher Scientific Trace 1310 Gas Chromatograph |
Generic Instrument Name | Gas Chromatograph |
Generic Instrument Description | Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) |
Dataset-specific Instrument Name | MAT 253 Plus Isotope Ratio Mass Spectrometer (IRMS) |
Generic Instrument Name | Isotope-ratio Mass Spectrometer |
Generic Instrument Description | The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). |
Dataset-specific Instrument Name | large volume pumps (WTS-LV; McLane Research Laboratories, Inc.) |
Generic Instrument Name | McLane Large Volume Pumping System WTS-LV |
Generic Instrument Description | The WTS-LV is a Water Transfer System (WTS) Large Volume (LV) pumping instrument designed and manufactured by McLane Research Labs (Falmouth, MA, USA). It is a large-volume, single-event sampler that collects suspended and dissolved particulate samples in situ.
Ambient water is drawn through a modular filter holder onto a 142-millimeter (mm) membrane without passing through the pump. The standard two-tier filter holder provides prefiltering and size fractioning. Collection targets include chlorophyll maximum, particulate trace metals, and phytoplankton. It features different flow rates and filter porosity to support a range of specimen collection. Sampling can be programmed to start at a scheduled time or begin with a countdown delay. It also features a dynamic pump speed algorithm that adjusts flow to protect the sample as material accumulates on the filter. Several pump options range from 0.5 to 30 liters per minute, with a max volume of 2,500 to 36,000 liters depending on the pump and battery pack used. The standard model is depth rated to 5,500 meters, with a deeper 7,000-meter option available. The operating temperature is -4 to 35 degrees Celsius.
The WTS-LV is available in four different configurations: Standard, Upright, Bore Hole, and Dual Filter Sampler. The high-capacity upright WTS-LV model provides three times the battery life of the standard model. The Bore-Hole WTS-LV is designed to fit through a narrow opening such as a 30-centimeter borehole. The dual filter WTS-LV features two vertical intake 142 mm filter holders to allow simultaneous filtering using two different porosities. |
Dataset-specific Instrument Name | mini-MULVFS (Multiple Unit Large Volume in-situ Filtration System) |
Generic Instrument Name | Multiple Unit Large Volume Filtration System |
Generic Instrument Description | The Multiple Unit Large Volume Filtration System (MULVFS) was first described in Bishop et al., 1985 (doi: 10.1021/ba-1985-0209.ch009). The MULVFS consists of multiple (commonly 12) specialized particulate matter pumps, mounted in a frame and tethered to the ship by a cable (Bishop et al., 1985; Bishop and Wood, 2008). The MULVFS filters particulates from large volumes of seawater, although the exact protocols followed will vary for each project. |
Dataset-specific Instrument Name | neutrally buoyant sediment traps (NBST) |
Generic Instrument Name | Neutrally Buoyant Sediment Trap |
Generic Instrument Description | In general, sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. The Neutrally Buoyant Sediment Trap (NBST) was designed by researchers at Woods Hole Oceanographic Institution. The central cylinder of the NBST controls buoyancy and houses a satellite transmitter. The other tubes collect sediment as the trap drifts in currents at a predetermined depth. The samples are collected when the tubes snap shut before the trap returns to the surface. (more: http://www.whoi.edu/instruments/viewInstrument.do?id=10286) |
Dataset-specific Instrument Name | surface tethered sediment traps (STT) |
Generic Instrument Name | Sediment Trap |
Generic Instrument Description | Sediment traps are specially designed containers deployed in the water column for periods of time to collect particles from the water column falling toward the sea floor. In general a sediment trap has a jar at the bottom to collect the sample and a broad funnel-shaped opening at the top with baffles to keep out very large objects and help prevent the funnel from clogging. This designation is used when the specific type of sediment trap was not specified by the contributing investigator. |
Website | |
Platform | R/V Roger Revelle |
Report | |
Start Date | 2018-08-10 |
End Date | 2018-09-12 |
Description | Additional cruise information is available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/RR1813 |
Website | |
Platform | R/V Sally Ride |
Start Date | 2018-08-09 |
End Date | 2018-09-13 |
Description | Additional cruise information is available from the Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/SR1812 |
NSF Award Abstract:
The biological pump is largely responsible for the vertical transport of organic carbon from the surface to the ocean interior. However, only a small fraction of organic material produced in surface waters is sequestered in the deep ocean. The rest is consumed, or respired, by bacteria and larger organisms. The overarching goal of the proposed work is to characterize the relative influences of bacteria versus larger organisms on the degradation of organic material with depth. Guided by recent results from the subtropical Pacific, the investigators will use measurements of stable isotopes of nitrogen in different amino acids (compound-specific isotopic analysis of amino acids, known as AA-CSIA), along with measurements of the abundances of different forms of amino acids, and other parameters derived from these analyses to identify how the partitioning and flux of large and small particles are affected by different degradation processes. By improving the interpretive power of the AA-CSIA technique the investigators propose to determine: 1) the relative importance of microbial and zooplankton consumption on the efficiency of the biological carbon pump in the subarctic northeast Pacific, and 2) how much microbially-altered small particles fuel the metabolisms of mid-water zooplankton. This work capitalizes on an existing, comprehensive field program (NASA EXPORTS) specifically focused on building a predictive framework relating surface ocean properties to the vertical flux of organic carbon. The tremendous amount of data to be collected on all aspects of the biological pump as part of the EXPORTS program will aid the development and interpretation of the investigators' amino acid isotopic tool. Results will be broadly communicated via production and distribution of several episodes of Voice of the Sea, a local television program that will air in Hawaii and across many Pacific islands. Episodes also will be posted online and publicized through social media to the south Florida community. This project will support a Ph.D. student and an undergraduate student at University of Miami, which serves a 25% Hispanic population, and an M.S. student and an undergraduate student at University of Hawaii, which is a designated minority-serving institution.
The proposed work introduces a new geochemical framework to distinguish microbial versus zooplankton alteration of marine organic matter. Piloted on samples from the subtropical Pacific, this approach interrogates unamended sinking material directly, using amino acid compound-specific isotopic analysis (AA-CSIA) to determine the progressive, cumulative impact of microbial and zooplankton degradative pathways. The proposed work (1) will extend this interpretive framework to explicitly define end-member signatures such as fecal pellets and will apply this refined method to a study site in the subarctic northeast Pacific to (2) determine the vertical progression of degradative mechanisms in an oceanographic location with contrasting productivity and vertical length scales of flux attenuation and (3) determine whether microbially- degraded biomass is important for fueling midwater metazoans under contrasting carbon flux conditions. The proposed work will be conducted in collaboration with the NASA EXPORTS program at the Ocean Station Papa time-series site. Teaming with this program presents a unique opportunity to refine AA-CSIA interpretation in parallel with intensive data collection defining productivity, particle size distribution and flux, and numerous biological parameters. In comparing subtropical and subarctic Pacific locations, the proposed work will test how differences in productivity and plankton community structure influence vertical patterns of consumption and alteration of phytodetritus by microbes and zooplankton, from surface to mesopelagic depths.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
EXport Processes in the Ocean from Remote Sensing (EXPORTS) is a large-scale NASA-led field campaign that will provide critical information for quantifying the export and fate of upper ocean net primary production (NPP) using satellite observations and state of the art ocean technologies.
Ocean ecosystems play a critical role in the Earth’s carbon cycle and the quantification of their impacts for both present conditions and for predictions into the future remains one of the greatest challenges in oceanography. The goal of the EXport Processes in the Ocean from Remote Sensing (EXPORTS) Science Plan is to develop a predictive understanding of the export and fate of global ocean net primary production (NPP) and its implications for present and future climates. The achievement of this goal requires a quantification of the mechanisms that control the export of carbon from the euphotic zone as well as its fate in the underlying "twilight zone" where some fraction of exported carbon will be sequestered in the ocean’s interior on time scales of months to millennia. In particular, EXPORTS will advance satellite diagnostic and numerical prognostic models by comparing relationships among the ecological, biogeochemical and physical oceanographic processes that control carbon cycling across a range of ecosystem and carbon cycling states. EXPORTS will achieve this through a combination of ship and robotic field sampling, satellite remote sensing and numerical modeling. Through a coordinated, process-oriented approach, EXPORTS will foster new insights on ocean carbon cycling that maximizes its societal relevance through the achievement of U.S. and International research agency goals and will be a key step towards our understanding of the Earth as an integrated system.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |