Contributors | Affiliation | Role |
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Drazen, Jeffrey C. | University of Hawaiʻi at Mānoa (SOEST) | Principal Investigator |
Popp, Brian N. | University of Hawaiʻi at Mānoa (SOEST) | Co-Principal Investigator |
Smith, Craig R. | University of Hawaiʻi at Mānoa (SOEST) | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Macrofauna and megafauna were collected in May and October 2019 using the HOV Alvin and the ROV Doc Ricketts, respectively, at Station M (34° 50'N, 123° 00'W) and in July 2019, January 2020, and July 2020 using ROV Lu'ukai at Station Aloha (22° 45'N, 158° 00'W). Macrofauna at Station M were collected using HOV-operated Ekman cores (20x20 cm). Macrofauna at Station Aloha were collected using a Brenke epibenthic sled towed across the seafloor (detailed in Glover et al 2016), due to the considerably lower macrofaunal densities at this oligotrophic site. Megafauna were collected using the submersible vehicle's manipulator arm and/or slurp gun. Upon retrieval to the surface, samples were placed in a cool room (5ºC) for their further processing. Specimens of megafauna were weighed and measured, then they were dissected using a scalpel. All tissue samples were placed in cryovials and frozen in liquid nitrogen, and subsequently stored at -80ºC. Sieved (300 um) macrofauna samples were preserved in 10% buffered formalin. In the laboratory, macrofauna were further sorted by taxon. Samples of megafauna body tissues or macrofauna were freeze dried and ground to a homogenous powder using mortar and pestle.
For analysis of bulk nitrogen and carbon isotopic composition, ~0.7 and 3 mg of body tissue from holothurians and echinoids, respectively, ~ 5 mg of gut content, and ~ 20 mg of sediments were placed in silver capsules. Samples were acidified to remove carbonates with 1M HCl, which was added dropwise until bubbling ceased, then dried at 60ºC and packed.
BCO-DMO Processing:
- replaced "NA" and "na" with "nd" (no data);
- renamed fields to comply with BCO-DMO naming conventions;
- changed format of end dates to YYYY-MM-DD;
- replaced commas in the Comments and animal_mass fields with semi-colons;
- replaced erroneous cruise IDs of KM2009-KM2076 with KM2008;
- replaced erroneous date of 2019-04-31 with 2019-04-30.
File |
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abyssal_bulk_isotopes.csv (Comma Separated Values (.csv), 66.77 KB) MD5:949148db540f6d56aa80bece1fae0747 Primary data file for dataset ID 866774 |
Parameter | Description | Units |
Sample_ID | Sample identification code | unitless |
Cruise | Cruise designation | unitless |
Station | Site designation: Station M or Station Aloha | unitless |
Start_date | First date of collection or only date if sample was collected at a single point in time; format: MM-DD-YY | unitless |
End_date | Last date of collection for pooled samples; format: YYYY-MM-DD | unitless |
Taxon | Lowest taxon specimen was identified to | unitless |
animal_mass | Mass of the animal | grams (g) |
tissue_type | Type of sample: animal, gut content, muscle, liver, etc. | unitless |
Sample_weight | Weight of dry sample analyzed | milligrams (mg) |
Acidified | Whether sample was acidified prior to analysis | unitless |
lipid_extracted | Whether sample was lipid extracted prior to analysis | unitless |
ug_N | Micrograms (ug) of Nitrogen in sample | micrograms (ug) |
d15N_v_AIR | Bulk nitrogen isotopic composition | per mil (‰), vs AIR |
ug_C | Micrograms (ug) of Carbon in sample | micrograms (ug) |
d13C_PC_v_VPDB | Bulk carbon isotopic composition | per mil (‰), vs VPDB |
Comments | Comments | unitless |
Dataset-specific Instrument Name | Costech Model 4010 |
Generic Instrument Name | Costech International Elemental Combustion System (ECS) 4010 |
Dataset-specific Description | Bulk nitrogen and carbon isotopic composition were determined using an isotope ratio mass spectrometer (DeltaPlusXP or Delta-V-Advantage) coupled to an elemental analyzer (Costech Model 4010). |
Generic Instrument Description | The ECS 4010 Nitrogen / Protein Analyzer is an elemental combustion analyser for CHNSO elemental analysis and Nitrogen / Protein determination. The GC oven and separation column have a temperature range of 30-110 degC, with control of +/- 0.1 degC. |
Dataset-specific Instrument Name | DeltaPlusXP or Delta-V-Advantage |
Generic Instrument Name | Isotope-ratio Mass Spectrometer |
Dataset-specific Description | Bulk nitrogen and carbon isotopic composition were determined using an isotope ratio mass spectrometer (DeltaPlusXP or Delta-V-Advantage) coupled to an elemental analyzer (Costech Model 4010). |
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 | Thermo Scientific Delta V Plus |
Generic Instrument Name | Isotope-ratio Mass Spectrometer |
Dataset-specific Description | Nitrogen isotope composition of amino acids was determined using an isotope ratio mass spectrometer (Thermo Scientific Delta V Plus) interfaced with a Thermo Finnigan GC-C III. |
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 | Thermo-Fisher Scientific MAT 253 |
Generic Instrument Name | Isotope-ratio Mass Spectrometer |
Dataset-specific Description | Carbon isotope composition of amino acids was measured using a Thermo-Fisher Scientific MAT 253 isotope ratio mass spectrometer interfaced with a Trace Ultra GC-III via ConFlo IV. |
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). |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2020-01-17 |
End Date | 2020-01-26 |
Description | See additional cruise information from Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/KM2002 |
Website | |
Platform | R/V Atlantis |
Start Date | 2019-04-28 |
End Date | 2019-05-09 |
Description | Collaborative Research: Assessing the relative importance of small vs large particles as sources of nutrition to abyssal communities
AT42-10; Alvin Dive numbers: D5027-D5030 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2019-07-18 |
End Date | 2019-07-28 |
Description | See additional cruise information from Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/KM1914 |
Website | |
Platform | R/V Kilo Moana |
Start Date | 2020-07-24 |
End Date | 2020-08-03 |
Description | See additional cruise information from Rolling Deck to Repository (R2R): https://www.rvdata.us/search/cruise/KM2008 |
Website | |
Platform | R/V Western Flyer |
Start Date | 2019-10-16 |
End Date | 2019-10-25 |
Description | Collaborative Research: Assessing the relative importance of small vs large particles as sources of nutrition to abyssal communities
Dive numbers: D1196, D1197, D1201
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NSF Award Abstract:
The abyssal plains of the oceans cover roughly half of the earth's surface, host enormous reservoirs of biodiversity and mineral resources, and play important roles in nutrient recycling and carbon sequestration. The most important process controlling the structure and function of these ecosystems is the quantity and quality of food (mostly sinking organic particles) that reaches the deep-sea floor. However, we do not fully understand the processes provisioning this vast ecosystem. We propose to evaluate the relative importance of small and larger "marine snow" particles that sink to deep-sea benthic communities by using the stable isotope signature of amino acids within various food sources and trace their consumption by fauna on the seafloor. This project compares ecosystems from the productive waters off California with the nutrient poor central Pacific, north of Hawaii. This project provides novel insights into how surface ocean processes are coupled to food-webs at the deep ocean seafloor and how changes in food sources potentially impact deep-sea communities. This project also provides excellent training opportunities for graduate students, a postdoctoral researcher, and undergraduates at UH and USC, particularly underrepresented minorities who pursue majors in the geosciences. The project will sponsor an annual G6-12 teacher workshop to inform Hawaii educators about the deep sea and broadly disseminate knowledge to the community. All results are communicated broadly to inform the public as concerns regarding abyssal ecosystems are rising due to interests in deep-sea mining.
The most important process controlling the structure and function of abyssal ecosystems is the quantity and quality of organic material that ultimately reaches the deep-sea floor. Despite the strong relationship between euphotic zone export flux and benthic ecology, studies of abyssal ecosystems have observed a deficit between food supply and benthic community demand. Additional work is therefore needed, particularly with regards to understanding the sources of nutrition to the deep-sea benthos. Recent evidence suggests that small particles may be significant contributors to carbon export, increasing in relative importance with depth in the mesopelagic and reaching the abyssal seafloor. This project is to evaluate the relative importance of small and larger "marine snow" particles to deep-sea benthic communities using a combination of particle flux measurements and state of the art compound specific stable isotope analysis of amino acids (AA-CSIA) at two abyssal locations that contrast in overlying productivity, seasonality, and export magnitude. Time series measurements at these locations (Sta. M off California and Sta. Aloha off Hawaii) provide a rich context for the work. In the mesopelagic central North Pacific larger particles (>53 um) can be resolved from microbially reworked, smaller (0.7-53 um) particles using AA-CSIA. This project is characterizing the isotopic compositions of key individual compounds in a continuum of particle sizes (< 1.0 um suspended particles to large sinking particles >53 um) collected using in situ filtration near the seafloor and bottom-moored sediment traps, thereby defining source-specific isotopic signatures that can be traced into benthic fauna and sediments (that are collected by ROVs and epibenthic sleds). This research to understand pelagic-benthic coupling from particles to megafauna using isotopic measurements at the compound-level will yield novel insights into the importance of small microbially reworked particles to deep-sea benthic food webs. This will more precisely couple surface ocean processes to food-webs at the deep ocean seafloor with implications for understanding climate change effects and the efficiency of energy transfer to higher trophic levels. Furthermore, isotopic measurements can also be used to further parameterize ecosystem models by quantifying trophic position across size classes and thus estimate predator-prey mass ratios in relation to variation in body size spectra, functional type, and ultimately to carbon flux and remineralization. Finally, the results will help refine interpretations of deep-sea paleorecords of past nitrogen dynamics by calibrating potential changes in organic matter isotope values between the surface and seafloor archives.
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.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |