Discrete Net Community and Gross Primary Production Rates data on the US Northeastern Shelf in the SPIROPA project during spring and summer 2018 and 2019

Website: https://www.bco-dmo.org/dataset/985985
Data Type: Other Field Results
Version: 1
Version Date: 2025-10-10

Project
» Collaborative Research: Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications (SPIROPA)
ContributorsAffiliationRole
Stanley, Rachel H. R.Wellesley CollegePrincipal Investigator, Contact
Sandwith, Zoe O.Woods Hole Oceanographic Institution (WHOI)Technician
Soenen, KarenWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Triple oxygen isotopes and O2/Ar ratios were were measured on discrete bottle samples which were collected from surface Niskins from the CTD. The samples were collected at sea into poisoned, pre-evacuated bottles and then measured on an isotope ratio mass spectrometer. The gas data was then used to calculate mixed layer depth integrated rates of gross primary production (in oxygen units = gross oxygen production) and net community production. The gas data itself is posted on BCO-DMO in the bottle CTD tables associated with this cruise. This data set contains the rates of production calculated from the gas data for those who simply want the rates rather than the gas data.  This data set has rates calculated from samples collected from cruises on the US Northeastern Shelf taking place in Spring 2018 (Ar29), spring 2019 (RB1904) and summer 2019 (TN368). There is no depth associated with each rate since the exact depth the water came from does not matter - the rate represents the production integrated over the mixed layer in all cases and the depth of collection is not the same as the mixed layer depth. CTD data posted on BCO-DMO can be used to determine depths if desired and/or mixed layer depths.


Coverage

Location: Northeastern US Shelf, Mid-Atlantic Bight, primarily along longitude 70.83 °W, from latitude 39.6 to 40.5 °N, in water depths ranging from 40 m to 1700 m
Spatial Extent: N:40.724 E:-69.9988 S:39.2495 W:-71.3372
Temporal Extent: 2018-04-17 - 2019-07-18

Methods & Sampling

Discrete samples of triple oxygen isotopes (TOI) were collected from the surface Niskin bottles on the CTD-rosette system at all stations as well as on some cruises from the underway system between stations. Samples were collected in custom-made ~500-mL sample bottles which were pre-poisoned with 100 µl of saturated mercuric chloride solution and filled with around 300 mL of seawater from the underway system or from the Niskin at each station (Stanley et al., 2015). Samples were brought to Woods Hole Oceanographic Institution where they were analyzed for TOI with a custom-made processing line and a Thermofisher MAT 253 isotope ratio mass spectrometer as detailed in Stanley et al (2015), that was based on the method of Barkan and Luz (2003). The same samples were also analyzed for O2/Ar which yielded rates of NCP from discrete data as well as an independent method for calibrating the EIMS (see associated dataset). Corrections for the effect of argon on the triple oxygen isotope ratio and the effect of varying sizes of the sample vs. reference standard were made for every sample. Typical lab Reproducibilities from duplicate samples collected on these cruises ranged from 4 to 8 per meg for 17Δ, 0.008 to 0.03 per mil for δ17O, and 0.008 to 0.05 per mil for δ18O depending on the cruise. Confirmation that the water from the underway system was representative of the oceanic TOI signature of dissolved oxygen was obtained by comparing samples collected from the underway system to those collected concurrently from the surface Niskin bottle. 


Data Processing Description

From these samples, GOP is calculated in units of mmol O2 m-2 d-1 following Eq. 7 in  Prokopenko et al., (2011). The photosynthetic end member used was the average of the phytoplankton value determined by Barkan and Luz (2011); Vienna Standard Mean Ocean Water (VSMOW) was used for the isotopic composition of oxygen in H2O. The actual isotopic composition of H2O was measured in a subset of samples to see if corrections needed to be made (Manning et al., 2017a). It was found to be very similar to VSMOW, leading to an error of less than 10% in GOP due to isotopic water variations. NCP was calculated from the O2/Ar ratios measured in each sample by assuming steady state, neglecting horizontal and vertical advection, and therefore using :NCP = ((O2/Ar)smpl/(O2/Ar)eq-1)*[O2]eq*k*ρ  where (O2/Ar)smpl represents the ratio of O2 to Ar ion currents detected by the EIMS after being calibrated with bottle data, and (O2/Ar)eq represents the ratio of equilibrium concentrations of the gases determined from the gases’ solubility (Garcia and Gordon 1992; Hamme and Emerson 2004) at the seawater temperature and salinity, [O2]eq represents the equilibrium concentration of O2 at the relevant temperature and salinity (mmol kg-1), k is the weighted gas transfer velocity (m d-1), and ρ is the density of seawater (kg m-3) (Millero and Poisson 1981).  For both GOP and NCP, the weighted gas transfer velocity was calculated as a time-weighted average from over the past 60 d calculated as described in Reuer et al. (2007), with the gas exchange parameterization of Stanley et al. (2009) and wind speeds from NCEP Reanalysis (Kalnay et al., 1996; Kistler et al., 2001).


Problem Description

Depth is not given since the rates represent the productivity rate integrated over the depth of the mixed layer. All data was collected from the Niskin on the CTD closest to the surface (typically 3 to 5 m).

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Data Files

File
985985_v1_discrete.csv
(Comma Separated Values (.csv), 19.32 KB)
MD5:67c996633d6ae853d1f63ff3c3e8a291
Primary data file for dataset ID 985985, version 1

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Related Publications

Barkan, E., & Luz, B. (2003). High‐precision measurements of 17O/16O and 18O/16O of O2 and O2/Ar ratio in air. Rapid Communications in Mass Spectrometry, 17(24), 2809–2814. Portico. https://doi.org/10.1002/rcm.1267
Methods
Castillo Cieza, S. A., Stanley, R. H. R., Marrec, P., Fontaine, D. N., Crockford, E. T., McGillicuddy Jr., D. J., Mehta, A., Menden-Deuer, S., Peacock, E. E., Rynearson, T. A., Sandwith, Z. O., Zhang, W., & Sosik, H. M. (2024). Unusual Hemiaulus bloom influences ocean productivity in Northeastern US Shelf waters. Biogeosciences, 21(5), 1235–1257. https://doi.org/10.5194/bg-21-1235-2024
Methods
Garcia, H. E., & Gordon, L. I. (1992). Oxygen solubility in seawater: Better fitting equations. Limnology and Oceanography, 37(6), 1307–1312. Portico. https://doi.org/10.4319/lo.1992.37.6.1307 https://doi.org/10.4319%2Flo.1992.37.6.1307
Methods
Kalnay, E., Kanamitsu, M., Kistler, R., Collins, W., Deaven, D., Gandin, L., Iredell, M., Saha, S., White, G., Woollen, J., Zhu, Y., Leetmaa, A., Reynolds, R., Chelliah, M., Ebisuzaki, W., Higgins, W., Janowiak, J., Mo, K. C., Ropelewski, C., … Joseph, D. (1996). The NCEP/NCAR 40-Year Reanalysis Project. Bulletin of the American Meteorological Society, 77(3), 437–471. https://doi.org/10.1175/1520-0477(1996)077<0437:tnyrp>2.0.co;2 https://doi.org/10.1175/1520-0477(1996)077<0437:TNYRP>2.0.CO;2
Methods
Kistler, R., Collins, W., Saha, S., White, G., Woollen, J., Kalnay, E., Chelliah, M., Ebisuzaki, W., Kanamitsu, M., Kousky, V., van den Dool, H., Jenne, R., & Fiorino, M. (2001). The NCEP–NCAR 50–Year Reanalysis: Monthly Means CD–ROM and Documentation. Bulletin of the American Meteorological Society, 82(2), 247–267. https://doi.org/10.1175/1520-0477(2001)082<0247:tnnyrm>2.3.co;2 https://doi.org/10.1175/1520-0477(2001)082<0247:TNNYRM>2.3.CO;2
Methods
Manning, C. C., Howard, E. M., Nicholson, D. P., Ji, B. Y., Sandwith, Z. O., & Stanley, R. H. R. (2017). Revising Estimates of Aquatic Gross Oxygen Production by the Triple Oxygen Isotope Method to Incorporate the Local Isotopic Composition of Water. Geophysical Research Letters, 44(20). Portico. https://doi.org/10.1002/2017gl074375 https://doi.org/10.1002/2017GL074375
Methods
Millero, F. J., & Poisson, A. (1981). International one-atmosphere equation of state of seawater. Deep Sea Research Part A. Oceanographic Research Papers, 28(6), 625–629. https://doi.org/10.1016/0198-0149(81)90122-9
Methods
Prokopenko, M. G., Pauluis, O. M., Granger, J., & Yeung, L. Y. (2011). Exact evaluation of gross photosynthetic production from the oxygen triple-isotope composition of O2: Implications for the net-to-gross primary production ratios. Geophysical Research Letters, 38(14), n/a-n/a. https://doi.org/10.1029/2011gl047652 https://doi.org/10.1029/2011GL047652
Methods
Reuer, M. K., Barnett, B. A., Bender, M. L., Falkowski, P. G., & Hendricks, M. B. (2007). New estimates of Southern Ocean biological production rates from O2/Ar ratios and the triple isotope composition of O2. Deep Sea Research Part I: Oceanographic Research Papers, 54(6), 951–974. doi:10.1016/j.dsr.2007.02.007
Methods
Stanley, R. H. R., Sandwith, Z. O., & Williams, W. J. (2015). Rates of summertime biological productivity in the Beaufort Gyre: A comparison between the low and record-low ice conditions of August 2011 and 2012. Journal of Marine Systems, 147, 29–44. https://doi.org/10.1016/j.jmarsys.2014.04.006
Methods
Stanley, R. H. R., Z. Kronberg, H. M. Sosik, L. Baldwin, N. O'Hern, K. Cahill, E. T. Crockford, H. Oliver, E. Peacock, Z. O. Sandwith, W. G. Zhang, B. Zheng, and D. J. McGillicuddy, Jr. "Localized and episodic enhancement of net community production and phytoplankton carbon in spring and summer at the Northeastern US shelf-break front". In press in Limnology and Oceanography.
Results

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Related Datasets

IsDerivedFrom
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) Bottle sample data and water processing samples from CTD casts from the first cruise of SPIROPA project, R/V Neil Armstrong cruise AR29, to the New England Shelfbreak in April 2018. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2022-06-08 doi:10.26008/1912/bco-dmo.863240.2 [view at BCO-DMO]
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) Bottle sample data from CTD casts from the second cruise of SPIROPA project, R/V Ronald H. Brown cruise RB1904, to the New England Shelfbreak in May of 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-05-04 doi:10.26008/1912/bco-dmo.873854.1 [view at BCO-DMO]
McGillicuddy, D. J., Sosik, H. M., Zhang, W. G., Smith, W. O., Stanley, R., Turner, J., Petitpas, C. (2022) Bottle sample data from CTD casts from the third cruise of SPIROPA project, R/V Thomas G. Thompson cruise TN368, to the New England Shelfbreak in July of 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2022-06-08 doi:10.26008/1912/bco-dmo.849340.2 [view at BCO-DMO]
IsRelatedTo
Stanley, R. H. R., Sandwith, Z. O. (2025) Continuous rates of net community production and the O2/Ar data on the US Northeastern Shelf in the SPIROPA project during spring and summer 2018 and 2019. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-10-10 doi:10.26008/1912/bco-dmo.942699.1 [view at BCO-DMO]
Relationship Description: Continuous rates.

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Parameters

ParameterDescriptionUnits
Cruise

Cruise ID: AR29, RB1904 or TN368

unitless
Date_time

Sampling date and time (UTC)

unitless
latitude

Sampling latitude

decimal degrees
longitude

Sampling longitude

decimal degrees
GOP

Gross primary production

mmol O2/m2/day
NCP

Net community production

mmol O2/m2/day
NCP_GOP

Ratio of NCP/GOP

unitless


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Instruments

Dataset-specific Instrument Name
Thermofisher MAT 253
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).


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Deployments

AR29

Website
Platform
R/V Neil Armstrong
Start Date
2018-04-16
End Date
2018-04-29

RB1904

Website
Platform
NOAA Ship Ronald H. Brown
Start Date
2019-05-12
End Date
2019-05-25

TN368

Website
Platform
R/V Thomas G. Thompson
Start Date
2019-07-05
End Date
2019-07-18
Description


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Project Information

Collaborative Research: Shelfbreak Frontal Dynamics: Mechanisms of Upwelling, Net Community Production, and Ecological Implications (SPIROPA)


Coverage: Shelf break south of New England, OOI Pioneer Array


NSF award abstract:

The continental shelf break of the Middle Atlantic Bight supports a productive and diverse ecosystem. Current paradigms suggest that this productivity is driven by several upwelling mechanisms at the shelf break front. This upwelling supplies nutrients that stimulate primary production by phytoplankton, which in turn leads to enhanced production at higher trophic levels. Although local enhancement of phytoplankton biomass has been observed in some circumstances, such a feature is curiously absent from time-averaged measurements, both from satellites and shipboard sampling. Why would there not be a mean enhancement in phytoplankton biomass as a result of the upwelling? One hypothesis is that grazing by zooplankton prevents accumulation of biomass on seasonal and longer time scales, transferring the excess production to higher trophic levels and thereby contributing to the overall productivity of the ecosystem. However, another possibility is that the net impact of these highly intermittent processes is not adequately represented in long-term means of the observations, because of the relatively low resolution of the in-water measurements and the fact that the frontal enhancement can take place below the depth observable by satellite. The deployment of the Ocean Observatories Initiative (OOI) Pioneer Array south of New England has provided a unique opportunity to test these hypotheses. The combination of moored instrumentation and autonomous underwater vehicles will facilitate observations of the frontal system with unprecedented spatial and temporal resolution. This will provide an ideal four-dimensional (space-time) context in which to conduct a detailed study of frontal dynamics and plankton communities needed to examine mechanisms controlling phytoplankton populations in this frontal system. This project will also: (1) promote teaching, training and learning via participation of graduate and undergraduate students in the research , (2) provide a broad dissemination of information by means of outreach in public forums, printed media, and a video documentary of the field work, and (3) contribute to improving societal well-being and increased economic competitiveness by providing the knowledge needed for science-based stewardship of coastal ecosystems, with particular emphasis on connecting with the fishing industry through the Commercial Fisheries Research Foundation.

The investigators will conduct a set of three cruises to obtain cross-shelf sections of physical, chemical, and biological properties within the Pioneer Array. Nutrient distributions will be assayed together with hydrography to detect the signature of frontal upwelling and associated nutrient supply. The investigators expect that enhanced nutrient supply will lead to changes in the phytoplankton assemblage, which will be quantified with conventional flow cytometry, imaging flow cytometry (Imaging FlowCytobot, IFCB), optical imaging (Video Plankton Recorder, VPR), traditional microscopic methods, and pigment analysis. Zooplankton will be measured in size classes ranging from micro- to mesozooplankton with the IFCB and VPR, respectively, and also with microscopic analysis. Biological responses to upwelling will be assessed by measuring rates of primary productivity, zooplankton grazing, and net community production. These observations will be synthesized in the context of a coupled physical-biological model to test the two hypotheses that can potentially explain prior observations: (1) grazer-mediated control and (2) undersampling. Hindcast simulations will also be used to diagnose the relative importance of the various mechanisms of upwelling. The intellectual merit of this effort stems from our interdisciplinary approach, advanced observational techniques, and integrated analysis in the context of a state-of-the-art coupled model. The project will address longstanding questions regarding hydrodynamics and productivity of an important ecosystem, leading to improved understanding of physical-biological interactions in a complex continental shelf regime. Given the importance of frontal systems in the global coastal ocean, it is expected that knowledge gained will have broad applicability beyond the specific region being studied.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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