4.5 Article

Lagrangian Studies of Net Community Production: The Effect of Diel and Multiday Nonsteady State Factors and Vertical Fluxes on O2/Ar in a Dynamic Upwelling Region

Journal

Publisher

AMER GEOPHYSICAL UNION
DOI: 10.1029/2019JG005569

Keywords

net community production; O-2; Ar; California Current Ecosystem; Lagrangian measurements; vertical fluxes; nonsteady state

Funding

  1. RAPID NSF [OCE-1637632]
  2. National Research Foundation of Korea (NRF) grant - Korea Government (MSIT) [NRF-2019R1C1C1003663]
  3. Yonsei University [2018-22-0053]
  4. [NSF OCE-1637632]

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The ratio of dissolved oxygen to argon in seawater is frequently employed to estimate rates of net community production (NCP) in the oceanic mixed layer. The in situ O-2/Ar-based method accounts for many physical factors that influence oxygen concentrations, permitting isolation of the biological oxygen signal produced by the balance of photosynthesis and respiration. However, this technique traditionally relies upon several assumptions when calculating the mixed-layer O-2/Ar budget, most notably the absence of vertical fluxes of O-2/Ar and the principle that the air-sea gas exchange of biological oxygen closely approximates net productivity rates. Employing a Lagrangian study design and leveraging data outputs from a regional physical oceanographic model, we conducted in situ measurements of O-2/Ar in the California Current Ecosystem in spring 2016 and summer 2017 to evaluate these assumptions within a worst-case field environment. Quantifying vertical fluxes, incorporating nonsteady state changes in O-2/Ar, and comparing NCP estimates evaluated over several day versus longer timescales, we find differences in NCP metrics calculated over different time intervals to be considerable, also observing significant potential effects from vertical fluxes, particularly advection. Additionally, we observe strong diel variability in O-2/Ar and NCP rates at multiple stations. Our results reemphasize the importance of accounting for vertical fluxes when interpreting O-2/Ar-derived NCP data and the potentially large effect of nonsteady state conditions on NCP evaluated over shorter timescales. In addition, diel cycles in surface O-2/Ar can also bias interpretation of NCP data based on local productivity and the time of day when measurements were made.

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