Fluxes of lipid biomarkers from the Oceanic Flux Program sediment trap time-series in the North Sargasso Sea from September to December 2016

Website: https://www.bco-dmo.org/dataset/775902
Data Type: Other Field Results
Version: 1
Version Date: 2019-09-04

Project
» Time Series Particle Flux Measurements in the Sargasso Sea (OFP Sargasso Sea)

Program
» Oceanic Flux Program (OFP)
ContributorsAffiliationRole
Conte, Maureen H.Bermuda Institute of Ocean Sciences (BIOS)Principal Investigator
Pedrosa Pàmies, RutMarine Biological Laboratory Ecosystems Center (MBL - Ecosystems)Scientist
Biddle, MathewWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Fluxes of lipid biomarkers in the 1500 m and 3200 m Oceanic Flux Program sediment traps in the northern Sargasso Sea, before, during and after of Hurricane Nicole 2016 (Sep-Dec 2016)


Coverage

Spatial Extent: Lat:31.8333 Lon:-64.1666
Temporal Extent: 2016-09-25 - 2016-12-10

Dataset Description

Fluxes of lipid biomarkers in the 1500 m and 3200 m Oceanic Flux Program sediment traps in the northern Sargasso Sea, before, during and after of Hurricane Nicole 2016 (Sep-Dec 2016)


Methods & Sampling

Sinking particles were collected at 1500 m and 3200 m depths by Parflux sediment traps (McLane Labs, Falmouth, MA) on the Oceanic Flux Program (OFP) mooring. Trap cups were filled with 40 ppt deep seawater (concentrated by freezing) poisoned with ultra-trace metal purity HgCl2 (200 mg L-1). OFP methods are detailed in Conte et al. (2001, 2018). Sinking particles analyzed in this study were collected between 25 October 2016 and 10 December 2016 with a biweekly sample resolution.

Lipids were preserved and analyzed using a modification of methods in Conte et al. (2003) (Pedrosa-Pàmies et al., 2018). Briefly, an internal standard mixture (n-C21:0 fatty alcohol, n-C23:0 fatty acid, 5α-cholestane and n-C36:0 alkane) was added to the samples prior to lipid extraction. Lipids were ultrasonically extracted in 2:1 CHCl3-MeOH, transesterified with methanolic HCl and trimethylsilylated using BSTFA with 1% TMCS. The transesterified, trimethylsilyl derivatives were analyzed on an Agilent 7890A GC coupled to a 5975C MS. Compounds were identified by mass spectra and quantified from their FID response relative to the internal standard.


Data Processing Description

Lipid compounds were identified by their mass spectra and were quantified from their FID response relative to the internal standard. The software used were MSD ChemStation (version E.0202.1431) and Chrom Perfect (version 5.5.2).

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- re-formatted date from d-Mon-yy to yyyy-mm-dd

 


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Data Files

File
lipid_flux.csv
(Comma Separated Values (.csv), 2.65 KB)
MD5:88c11d1b9be8288f20b1bea37f829261
Primary data file for dataset ID 775902

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Related Publications

Pedrosa-Pàmies, R., Conte, M. H., Weber, J. C., & Johnson, R. (2018). Carbon cycling in the Sargasso Sea water column: Insights from lipid biomarkers in suspended particles. Progress in Oceanography, 168, 248–278. doi:10.1016/j.pocean.2018.08.005 https://doi.org/10.1016/J.POCEAN.2018.08.005
Methods
Pedrosa‐Pamies, R., Conte, M. H., Weber, J. C., & Johnson, R. (2019). Hurricanes enhance labile carbon export to the deep ocean. Geophysical Research Letters. doi:10.1029/2019gl083719 https://doi.org/10.1029/2019GL083719
Results

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Parameters

ParameterDescriptionUnits
depth_m

depth of observation

meters (m)
start_date

start date in yyyy-mm-dd format

unitless
end_date

end date in yyyy-mm-dd format

unitless
days_sampling

number of days sampling

days
poc_perc

Particulate Organic Carbon percentage of total mass flux

unitless
poc_flux

Particulate Organic Carbon flux

milligrams per meter squared per day (mg/m2/d)
total_lipid_perc

Total extractable lipids percentage of total POC

unitless
total_lipid_flux

Total extractable lipids flux

micrograms per meter squared per day (ug/m2/d)
tfa_flux

Total fatty acids flux

micrograms per meter squared per day (ug/m2/d)
sfa_flux

C12-C28 saturated even fatty acids flux

micrograms per meter squared per day (ug/m2/d)
mufa_flux

C14:1-C22:1 monosaturated even fatty acids flux

micrograms per meter squared per day (ug/m2/d)
flux_18_1w9_fa

18:1ω9 fatty acid flux

micrograms per meter squared per day (ug/m2/d)
flux_18_1w7_fa

18:1ω7 fatty acid flux

micrograms per meter squared per day (ug/m2/d)
pufas_flux

C16-C20 polyunsaturated fatty acids flux

micrograms per meter squared per day (ug/m2/d)
flux_18_3w6_pufa

18:3ω6 polyunsaturated fatty acid flux

micrograms per meter squared per day (ug/m2/d)
flux_20_5w3_pufa

20:5ω3 polyunsaturated fatty acid flux

micrograms per meter squared per day (ug/m2/d)
flux_22_6w3_pufa

22:6ω3 polyunsaturated fatty acid flux

micrograms per meter squared per day (ug/m2/d)
odd_br_fa_flux

C13-C19 odd and saturated iso- anteiso-branched fatty acid flux

micrograms per meter squared per day (ug/m2/d)
tfal_flux

Total Fatty alcohols flux

micrograms per meter squared per day (ug/m2/d)
mufal_flux

C16-22 Monounsaturated fatty alcohols

micrograms per meter squared per day (ug/m2/d)
odd_br_fal_flux

C11-21 Odd and iso- anteiso-branched fatty alcohols flux

micrograms per meter squared per day (ug/m2/d)
tbeta_omega_1_hydroxyacids

+ω-1 hydroxyacids flux

micrograms per meter squared per day (ug/m2/d)
tsterols_stanols

Total sterols+stanols flux

micrograms per meter squared per day (ug/m2/d)
phytosterols

Phytosterols= (24-Nor-cholesta-5; 22-dien-3β-ol (C26Δ5;22); 27-nor-24-methylcholesta-5;22-dien-3β-ol (Cnor27Δ5;22); Cholesta-5;22-dien-3β -ol (C27Δ5;22); 24-Methylcholesta-5;22-dien-3β-ol (C28Δ5;22); 24-Methylcholesta-5;24(28)-dien-3β-ol (C28Δ5;24(28)); 24-Methylcholest-5-en-3β-ol (C28Δ5); 24-Ethylcholesta-5;22-dien-3β-ol (C29Δ5;22); 24-Ethylcholest-5-en-3β-ol (C29Δ5); 24-Propylcholesta-5;24(28)-dien-3β-ol (C30Δ5;24(28)); 4α;23;24-Trimethyl-5a-cholest-22-en-3β-ol (4αC30Δ22) ) flux

micrograms per meter squared per day (ug/m2/d)
nor27delta5_22e

Cholesta-5;22-dien-3β -ol (Occelasterol) flux

micrograms per meter squared per day (ug/m2/d)
flux_27delta5_22e

Cholesta-5;22-dien-3β -ol (Dehidrocholesterol) flux

micrograms per meter squared per day (ug/m2/d)
flux_28delta5_22e

24-Methylcholesta-5;22-dien-3β-ol ( Brassicasterol) flux

micrograms per meter squared per day (ug/m2/d)
flux_29delta5_22e

24-Ethylcholesta-5;22-dien-3β-ol (Estigmasterol) flux

micrograms per meter squared per day (ug/m2/d)
flux_27delta5

Cholest-5-en-3β-ol (cholesterol) flux

micrograms per meter squared per day (ug/m2/d)
flux_28delta5

4-Methylcholest-5-en-3β-ol flux

micrograms per meter squared per day (ug/m2/d)
flux_29delta5

24-Ethylcholest-5-en-3β-ol flux

micrograms per meter squared per day (ug/m2/d)
tstanols

Stanols= ( 24-Nor-5α-cholest-22-en-3β-ol (C26Δ22); 5α-Cholesta-22-en-3β-ol (C27Δ22); 24-Methyl-5α-cholest-22-en-3β-ol (C28Δ22); 24-Ehtyl-colesta-22-en-3β-ol (C29Δ22); 5α-Cholestan-3β-ol (C27Δ0); 24-Methyl-colestan-3β-ol (C28Δ0); 24-Ethyl-5α-cholestan-3β-ol (C29Δ0); 4α;23S;24R-trimethyl-5α(H)-cholestan-3β-ol (4αC30Δ0).

micrograms per meter squared per day (ug/m2/d)
flux_27delta0

5α-Cholestan-3β-ol) flux

micrograms per meter squared per day (ug/m2/d)
flux_28delta0

24-Methyl-colestan-3β-ol flux

micrograms per meter squared per day (ug/m2/d)
flux_29delta0

24-Ethyl-5α-cholestan-3β-ol flux

micrograms per meter squared per day (ug/m2/d)
flux_27delta22

5α-Cholesta-22-en-3β-ol flux

micrograms per meter squared per day (ug/m2/d)
sk

Saturated 4-methyl steroidal ketones flux

micrograms per meter squared per day (ug/m2/d)
c30diol

C30 alkan-1;15-diol flux

micrograms per meter squared per day (ug/m2/d)
hop

Hopanoids flux

micrograms per meter squared per day (ug/m2/d)
flux_1_o_alkyl

1-O-alkylglycerols flux

micrograms per meter squared per day (ug/m2/d)
alkenones

C37-C39 methyl ketones flux

micrograms per meter squared per day (ug/m2/d)


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Instruments

Dataset-specific Instrument Name
Gas chromatograph-mass spectrometer
Generic Instrument Name
Mass Spectrometer
Dataset-specific Description
Gas chromatograph-mass spectrometer (GC-MS): Agilent 7890A GC coupled to a 5975C MS equipped with triple-axis MS and FID detectors.
Generic Instrument Description
General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.


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Project Information

Time Series Particle Flux Measurements in the Sargasso Sea (OFP Sargasso Sea)


Coverage: Sargasso Sea


The Oceanic Flux Program (OFP) has continuously measured particle fluxes in the deep Sargasso Sea since 1978. The OFP is the longest running continuous time-series of its kind, and has produced a unique record of temporal variability in material transfer from the surface to the deep ocean (the “biological pump") resulting from the interplay between physical, biological and chemical processes. The OFP deploys a subsurface mooring anchored in 4500m of water with three McLane Research Parflux Mark 8 sediment traps located at 500m, 1500m and 3200m depths. These traps continuously collect the sinking particle flux at an approximate 2 week sampling resolution.

The most recent project awards and abstracts are listed below.  A detailed history of funding with summary of all project awards for OFP can be found below.

October 2024 through September 2027
NSF Award OCE-2421112 Abstract:

This award provides an additional three years of support for the Oceanic Flux Program (OFP). The OFP was established in 1978 to measure the export flux of particles from the surface to the deep ocean in the deep Sargasso Sea near Bermuda. The OFP is the longest and most continuous particle flux time-series of its kind. Through collaboration with nearby upper ocean time-series programs, facilities, and other Bermuda-based sampling programs, OFP will continue to be a valuable resource for the oceanographic community in the effort to answer questions about the intricate relationship between deep ocean particle flux and climate, as well as biological, physical, and chemical oceanographic processes. Looking to the future, OFP will use increasingly advanced instrumentation and state-of-the-art analytical tools to investigate the nature and patterns of the material that sinks from the surface to deep ocean and the mechanisms that drive that process. The OFP provides education and training for students from high school to Ph.D. levels and supports early career researchers. OFP data and samples are broadly available to other researchers across the scientific disciplines.

Two overarching goals drive core activities funded under the OFP grant. The first is to extend the time-series by collecting new samples of the highest quality, while ensuring they have a comprehensive oceanographic context. The second is to elucidate the processes that drive oceanic particle flux through comparative studies of flux magnitude and composition with concurrent observations of external forcing (e.g., synoptic scale meteorology, climate patterns), surface water physics and biology (e.g., mesoscale features, blooms), and interior processes (e.g., biological particle aggregation/disaggregation, elemental scavenging, authigenic mineralization). The specific grant objectives are: (1) to provide for continuity of the particle flux measurements at 500, 1500 and 3200 m depths and continue to refine the quality of the time-series record and expand its oceanographic context, (2) to update/calibrate OFP sample processing and analytical methods to enhance the time-series data record, and to curate the time-series sample archives for future study, (3) to promote collaborative research to maximize interdisciplinary information obtained from the samples, (4) to conduct focused studies to identify deep flux temporal trends and their coherence with upper ocean forcing, to elucidate causal flux generation processes, and to develop proxies for climate studies,
(5) to provide education and training opportunities. A particular focus of this funding cycle will be to analyze the extensive OFP digital image archive with an automated (and/or semi-automated) approach, including classical methodologies and Deep Learning (DL) based tools for image classification, segmentation and archive, and a Graphical User Interface (GUI). The development of these new tools for identification, quantification, and characterization of the flux material will better exploit the image archive's potential, as fuller characterization of biological components will contribute new information on the ecosystem dynamics and responses to environmental forcing that drive flux generation.
 

October 2023 through September 2025
NSF Award OCE-2414704 Abstract:

This award provides an additional three years of support for the Oceanic Flux Program (OFP). This program was first established in 1978 to measure the export flux of particles from the surface to the deep ocean in the deep Sargasso Sea and represents the longest and most continuous particle flux time-series of its kind. This program and the time-series record will continue to help the oceanographic community to answer questions about the relationship between deep ocean particle flux and climate and biological, physical, and chemical oceanographic processes. In the past, the OFP has provided evidence for coupling between the upper and deep ocean processes linked to seasonal, episodic (e.g., physical and meteorological forcing) and climate patterns. Looking to the future, this program will utilize increasingly advanced instrumentation and analytical tools to address questions about the material that sinks from the surface to deep ocean and its controls. The OFP provides education and training for students from the high school to Ph.D. level and supports early career researchers.

The OFP time-series represents a 43-year, nearly continuous record focused on particle fluxes in the deep ocean. With increasingly more data available from the lengthening record, investigators can put observed biogeochemical patterns into perspective to understand the interplay between climate and ocean functioning. The availability of data from complementary nearby Hydrostation S, the Bermuda Atlantic Time-Series (BATS), the Bermuda Testbed Mooring (1994-2007), the Tudor Hill atmospheric tower and other Bermuda sampling programs provide additional opportunities to study upper ocean physics and biogeochemistry coupled with deep ocean biogeochemical processes. The OFP record is becoming long enough to study deep flux linkages with gyre circulation and advective processes. The OFP's archive is an unparalleled resource for retrospective studies of temporal trends and the biogeochemical consequences of a changing ocean, including future impacts of ocean acidification. As the OFP heads into the future, increasingly sophisticated OFP mooring instrumentation (ADCP current profiling and backscatter; MicroCAT temperature, salinity, and oxygen measurements) and advances in digital imaging and analytical tools (both chemical and genomic) to probe the recovered flux materials continue to reveal novel, fundamental information about the oceanic particle flux and its controls

 



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Program Information

Oceanic Flux Program (OFP)


Coverage: Sargasso Sea


(Adapted from the NSF Project Summary)

Since 1978, the Oceanic Flux Program (OFP), originally founded and managed by at the Woods Hole Oceanographic Institution and now managed by the Bermuda Institute of Ocean Science (BIOS), has continuously measured particle fluxes in the deep Sargasso Sea. The 35+ year OFP time-series is, by far, the longest of its kind and unique in its focus on the deep ocean. OFP has produced a unique, albeit "edited", record of temporal variability in the "biological pump", a term loosely applied here to material transfer from the surface to the deep ocean. The OFP provided the first direct evidence for seasonality in the deep ocean and the tight coupling between deep fluxes and upper ocean processes. It has provided clear evidence of the intensity of biological reprocessing of flux and scavenging of suspended material in mesopelagic waters. The record has documented interannual and longer variations in deep fluxes and shorter term fluctuations driven by the interactions between mesoscale physical variability, meteorological forcing and ecosystem responses.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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