Bulk raw isotopic data from tissue samples from non-tuna species collected in the eastern tropical Pacific Ocean onboard two NOAA research ships, David Starr Jordan and McArthur II, (cruises SWFSC1630 and SWFSC1631) in 2006

Website: https://www.bco-dmo.org/dataset/675211
Data Type: Cruise Results
Version: 1
Version Date: 2017-01-18

Project
» CAMEO 2009 - A novel tool for validating trophic position estimates in ecosystem-based fisheries models (CAMEO_Trophic_Position)

Program
» Comparative Analysis of Marine Ecosystem Organization (CAMEO)
ContributorsAffiliationRole
Olson, RobertInter-American Tropical Tuna Commission (IATTC)Principal Investigator, Contact
Popp, Brian N.University of Hawai'i (UH)Principal Investigator
Drazen, Jeffrey C.University of Hawai'i (UH)Co-Principal Investigator
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Bulk raw isotopic data from tissue samples from two species of ommastrephid cephalopods (squids), two species of mesopelagic myctophid fishes, and two species of euphausiid crustaceans collected in the eastern tropical Pacific Ocean onboard two NOAA research ships.


Coverage

Spatial Extent: N:11.57 E:-80.83 S:-1.9 W:-140.72
Temporal Extent: 2006-08-11 - 2006-10-28

Dataset Description

Bulk raw isotopic data from tissue samples from two species of ommastrephid cephalopods (squids), two species of mesopelagic myctophid fishes, and two species of euphausiid crustaceans collected in the eastern tropical Pacific Ocean onboard two NOAA research ships.


Methods & Sampling

Sampling Methodology: Zooplankton, small mesopelagic fishes, and squids were collected from July 28 to December 8, 2006 during the National Oceanic and Atmospheric Administration’s (NOAA's) Stenella Abundance Research (STAR) surveys (Gerrodette et al. 2008). We defined our study area to include a subset of sample locations from the STAR surveys based on the presence of both east-west and north-south productivity gradients across the region, with greater surface chlorophyll a concentrations at the eastern end of the study area and along the equator, according to published oceanographic data. Zooplankton samples were collected with a cylindrical-conical bongo net (333 um mesh), fished to 200 m approximately two hours after sunset, and the samples were frozen within one hour of collection. Specimens of euphausiid crustaceans, Euphausia distinguenda (Ed) and E. tenera (Et) were sorted from the thawed zooplankton samples in the laboratory. Specimens of mesopelagic myctophid fishes Myctophum nitidulum (Mn) and Symbolophorus reversus (Sr) were collected by dipnet at night. Specimens of the squids Dosidicus gigas (Dg) and Sthenoteuthis oualaniensis (So) also were collected at night, using handlines and jigs. (See Olson et al. 2010, Philbrick et al. 2001 for detailed methods).

Analytical Methodology: Methods are described in Hetherington et al. (2016). Briefly: Isotopic analysis of bulk muscle tissue or whole animals was performed at the University of Hawaii’s Isotope Biogeochemistry Laboratory. Stable isotope values of nitrogen were determined using an on-line carbon-nitrogen analyzer coupled with an isotope ratio mass spectrometer (FinniganConFlo II/Delta-Plus). Isotope values are reported in conventional delta-notation relative to the international standards atmospheric N2 and V-PDB, for N and C, respectively. Mean accuracy of all stable isotopic analyses was < +/- 0.1 ‰ (1 sd) based on triplicate analysis of in-house reference materials (glycine standard and tuna muscle) with known δ15N values.


Data Processing Description

Data processing: Stable isotope analysis of carbon and nitrogen isotopes measures the ratio of the heavier, rare isotope to the lighter, more common isotope (13C:12C or δ13C;15N:14N or δ15N) expressed as parts per mil (‰) relative to a standard (air for N, V-PDB for C).

BCO-DMO Processing:
- modified parameter names to conform with BCO-DMO naming conventions;
- re-formatted date to yyyy-mm-dd;
- replaced spaces with underscores in species name column.


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Data Files

File
bulk_raw_isotopes_nontunas.csv
(Comma Separated Values (.csv), 3.97 KB)
MD5:9e062a1d33e76f418e0bdff1932c58aa
Primary data file for dataset ID 675211

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Related Publications

Choy, C. A., Popp, B. N., Hannides, C. C. S., & Drazen, J. C. (2015). Trophic structure and food resources of epipelagic and mesopelagic fishes in the North Pacific Subtropical Gyre ecosystem inferred from nitrogen isotopic compositions. Limnology and Oceanography, 60(4), 1156–1171. doi:10.1002/lno.10085
General
Gerrodette, T., Watters, G., Perryman, W., and Ballance, L. 2008. Estimates of 2006 dolphin abundance in the eastern tropical Pacific, with revised estimates from 1986-2003. NOAA Technical Memorandum NOAA-TM-NMFS-SWFSC-422. https://swfsc.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-422.pdf
Methods
Hetherington, E. D., Olson, R. J., Drazen, J. C., Lennert-Cody, C. E., Ballance, L. T., Kaufmann, R. S., & Popp, B. N. (2016). Spatial food-web structure in the eastern tropical Pacific Ocean based on compound-specific nitrogen isotope analysis of amino acids. Limnology and Oceanography, 62(2), 541–560. doi:10.1002/lno.10443
Methods
Olson, R. J., Popp, B. N., Graham, B. S., López-Ibarra, G. A., Galván-Magaña, F., Lennert-Cody, C. E., … Fry, B. (2010). Food-web inferences of stable isotope spatial patterns in copepods and yellowfin tuna in the pelagic eastern Pacific Ocean. Progress in Oceanography, 86(1-2), 124–138. doi:10.1016/j.pocean.2010.04.026
Methods
Philbrick, V.A. Fiedler P.C., Fluty J.T., and Reilly S.B. 2001. Report of Oceanographic studies conducted during the 2000 eastern tropical Pacific Ocean survey on the research vessels David Starr Jordan, and McArthur. NOAA Technical Memorandum NOAA-TM-NMFS-SWFSC-309. https://swfsc.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-309.PDF
Methods

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Parameters

ParameterDescriptionUnits
species

name of the species

unitless
cruise_id

deployment number; Prefix "SWFSC" (Southwest Fisheries Science Center), followed by 4 digit cruise number (Deployment number): 1630 = R/V David Starr Jordan, 1631 = R/V McArthur II.

unitless
sample_number

sample identification number; 2 letter codes representing genus/species names (see "Species column") followed by sequential numbers 1-13

unitless
lat

latitude of sample location; decimal degrees with S latitude as negative numbers

decimal degrees
lon

longitude of sample location; decimal degrees with W longitude as negative number

decimal degrees
date

date on which specimens were captured and sampled formatted as yyyy-mm-dd

unitless
length

fork-length of specimens in millimeters; nd=no data

millimeters (mm)
replicate_number

replicate number (1-3) for net hauls from which replicate samples were taken

unitless
d15N

delta 15 N. Isotope values are reported in conventional d-notation relative to the international standard atmospheric N2.

parts per thousand (per mil, ‰)
d13C

delta 13 C. Isotope values are reported in conventional d-notation relative to the international standard V-PDB.

parts per thousand (per mil, ‰)
Molar_C_to_N

Molar carbon to nitrogen ratio

dimensionless (ratio)


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Instruments

Dataset-specific Instrument Name
cylindrical-conical bongo net
Generic Instrument Name
Bongo Net
Dataset-specific Description
Zooplankton samples were collected with a cylindrical-conical bongo net (333 um mesh), fished to 200 m approximately two hours after sunset, and the samples were frozen within one hour of collection
Generic Instrument Description
A Bongo Net consists of paired plankton nets, typically with a 60 cm diameter mouth opening and varying mesh sizes, 10 to 1000 micron. The Bongo Frame was designed by the National Marine Fisheries Service for use in the MARMAP program. It consists of two cylindrical collars connected with a yoke so that replicate samples are collected at the same time. Variations in models are designed for either vertical hauls (OI-2500 = NMFS Pairovet-Style, MARMAP Bongo, CalVET) or both oblique and vertical hauls (Aquatic Research). The OI-1200 has an opening and closing mechanism that allows discrete "known-depth" sampling. This model is large enough to filter water at the rate of 47.5 m3/minute when towing at a speed of two knots. More information: Ocean Instruments, Aquatic Research, Sea-Gear

Dataset-specific Instrument Name
Carbon-Nitrogen Analyzer
Generic Instrument Name
Elemental Analyzer
Dataset-specific Description
Stable isotope values of nitrogen were determined using an on-line carbon-nitrogen analyzer coupled with an isotope ratio mass spectrometer (FinniganConFlo II/Delta-Plus).
Generic Instrument Description
Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.

Dataset-specific Instrument Name
dipnet
Generic Instrument Name
Hand Net
Dataset-specific Description
Specimens of mesopelagic myctophid fishes Myctophum nitidulum (Mn) and Symbolophorus reversus (Sr) were collected by dipnet at night.
Generic Instrument Description
A hand net (also called a scoop net or dip net) is a net or mesh basket held open by a hoop. They are used for scooping fish near the surface of the water.

Dataset-specific Instrument Name
handlines and jigs
Generic Instrument Name
Handline and Jig
Dataset-specific Description
Specimens of the squids Dosidicus gigas (Dg) and Sthenoteuthis oualaniensis (So) were collected at night, using handlines and jigs.
Generic Instrument Description
Handline fishing, or handlining, is a fishing technique where a single fishing line is held in the hands. A handline is a relatively large diameter line that can be pulled by hand, and it has a jig attached at the end. Handlines are frequently used for catching fish or squid that are schooling near the surface, thus a long haul by hand is not necessary.

Dataset-specific Instrument Name
Isotope-ratio Mass Spectrometer
Generic Instrument Name
Isotope-ratio Mass Spectrometer
Dataset-specific Description
Stable isotope values of nitrogen were determined using an on-line carbon-nitrogen analyzer coupled with an isotope ratio mass spectrometer (FinniganConFlo II/Delta-Plus).
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).


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Deployments

SWFSC1630

Website
Platform
NOAA Ship David Starr Jordan
Report
Start Date
2006-07-28
End Date
2006-12-07

SWFSC1631

Website
Platform
NOAA Ship McArthur II
Report
Start Date
2006-07-28
End Date
2006-12-07


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Project Information

CAMEO 2009 - A novel tool for validating trophic position estimates in ecosystem-based fisheries models (CAMEO_Trophic_Position)


Coverage: Subtropical North Pacific Ocean


(From NSF Award Abstract)

Evidence increasingly demonstrates that selective removal of marine life can induce restructuring of marine food webs. Trophic structure is the central component of mass balance models, widely used tools to evaluate fisheries in an ecosystem context. Food web structure is commonly determined by stomach contents or by bulk tissue stable isotope analyses, both of which are limited in terms of resolution and versatility. The investigators will refine a tool, Amino Acid Compound-Specific Isotopic Analyses (AA-CSIA), which can be broadly applicable for quantifying the time-integrated trophic position (TP) of consumers. Differences in source and trophic nitrogen isotopic composition for specific amino acids will provide an unambiguous and integrated measure of fractional trophic TP across multiple phyla, regardless of an animal's physiological condition or of the biogeochemical cycling at the base of the food web. AA-CSIA will allow testing of the efficacy of trophic position estimates derived from ecosystem-based models and promote the evolution of these models into decision-support tools.

This project has three goals: 1. To validate the application of AA-CSIA across multiple marine phyla under differing physiological conditions. 2. To compare the application of AA-CSIA across systems with contrasting biogeochemical cycling regimes. 3. To develop the use of AA-CSIA TP estimates for validating trophic models of exploited ecosystems. The investigators will test and refine the approach using a combination of laboratory feeding experiments and field studies across regions with differing biogeochemical cycling regimes. They will determine the applicability of the AA-CSIA approach in a variety of marine organisms assessed in controlled studies. Subsequently, ecosystem components will be sampled from the eastern tropical Pacific, coastal California and the subtropical Pacific gyre. They will also test the effects of sample preservation on the isotopic composition of individual AA to determine whether the approach can be used on archived samples. This tool will allow testing of the efficacy of ecosystem-based models currently used to gain insight into the ecological effects of fisheries removals and improve the reliability of future models required to manage marine resources. In addition to the goal of developing AA-CSIA for use as a TP indicator, the information obtained through this project will provide important species-specific biological data on the feeding behavior of marine organisms that could have implications for their resilience to anthropogenic pressures and climate change.



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Program Information

Comparative Analysis of Marine Ecosystem Organization (CAMEO)



CAMEO Science Plan (2012).

The Comparative Analysis of Marine Ecosystem Organization (CAMEO) program was implemented as a partnership between the NOAA National Marine Fisheries Service and National Science Foundation Division of Ocean Sciences. The purpose of CAMEO was to strengthen the scientific basis for an ecosystem approach to the stewardship of our ocean and coastal living marine resources. The program supported fundamental research to understand complex dynamics controlling ecosystem structure, productivity, behavior, resilience, and population connectivity, as well as effects of climate variability and anthropogenic pressures on living marine resources and critical habitats. CAMEO encouraged the development of multiple approaches, such as ecosystem models and comparative analyses of managed and unmanaged areas (e.g., marine protected areas) that can ultimately form a basis for forecasting and decision support. Central to the program was the emphasis on collaborations between academic and private researchers and federal agency scientists with mission responsibilities to inform ecosystem management activities. (adapted from CAMEO website)

This funding opportunity implemented CAMEO research by supporting the development of research tools and strategic approaches through the following types of proposals:

1. Development of strategies and methodologies for comparative analyses that can be applied consistently across spatial and temporal scales and ecosystems, and that facilitate the design of decision support tools for marine populations, ecosystems and habitats.

2. Development of models that address key scientific questions by comparing ecosystems and ecosystem processes. Models that are geographically and temporally portable, and that incorporate assessment of modeling skill, are particularly encouraged.

3. Retrospective studies that analyze, re-analyze or synthesize existing information (historic, time-series, ongoing program, etc.) using a comparative approach.

4. Studies that integrate the human dimension within ecosystem dynamics. The CAMEO program seeks to promote interdisciplinary research using comparative approaches to link marine ecosystem research with the social and behavioral sciences in new and vital ways.

To guide program priorities, a Science Steering Committee was formed through Dr. Linda Deegan and the initial Scientific Planning Office at the Marine Biological Laboratory in Woods Hole, MA. This Committee was designed to provide scientific advice and broad direction to NOAA and NSF regarding the CAMEO program.

 



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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