Vertical Structure in Phytoplankton Growth and Productivity Inferred From Biogeochemical-Argo Floats and the Carbon-Based Productivity Model

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dc.contributor.authorArteaga, Lionel A.
dc.contributor.authorBehrenfeld, Michael J.
dc.contributor.authorBoss, Emmanuel
dc.contributor.authorWestberry, Toby K.
dc.date.accessioned2022-09-20T15:25:05Z
dc.date.available2022-09-20T15:25:05Z
dc.date.issued2022-08-19
dc.description.abstractEstimates of marine net primary production (NPP) commonly rely on limited in situ 14C incubations or satellite-based algorithms mainly constrained to the surface ocean. Here we combine data from biogeochemical Argo floats with a carbon-based productivity model (CbPM) to compute vertically resolved estimates of NPP. Inferred NPP profiles derived by informing the CbPM with float-based, depth-resolved, bio-optical data are able to qualitatively reproduce the vertical structure in NPP inferred from in situ 14C incubations at various ocean regions. At station ALOHA, float-based estimates agree within uncertainty with productivity observations at depth, but underestimate surface NPP. We test the ability of the CbPM to infer the depth-resolved structure in NPP from bio-optical properties in the mixed layer, in similar fashion as how remote sensing algorithms of ocean productivity operate. In Southern Ocean waters, the depth-reconstructing implementation of the CbPM overestimates phytoplankton division rates and Chl:C below the mixed layer, resulting in artificially high subsurface NPP when compared with the fully float-informed implementation of the model. The CbPM subsurface extrapolation of phytoplankton Chl, Chl:C, division rates, and NPP improves by accounting for deep nutrient (iron) stress impacts on photoacclimation in the Southern Ocean. This improvement is also observed in vertically integrated NPP, where the mean bias between model implementations in depth-integrated productivity south of 30°S is reduced by 62% when account for deep iron limitation. Our results demonstrate that profiling data from biogeochemical Argo floats can serve to inform regional adjustments that lead to the improvement of marine productivity algorithmsen_US
dc.description.sponsorshipThis work was supported by the National Aeronautics and Space Administration (NASA) award NNX17AI73G, the Southern Ocean Carbon and Climate Observations and Modeling (SOCCOM) program under the National Science Foundation (NSF) Award PLR-1425989, the NASA North Atlantic Aerosol and Marine Ecosystem Study (NAAMES, award NNX15AF30G), and the NASA EXport Processes in the Ocean from RemoTe Sensing (EXPORTS) study (Grant 80NSSC17K0568).en_US
dc.description.urihttps://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2022GB007389en_US
dc.format.extent20 pagesen_US
dc.genrejournal articlesen_US
dc.genrepostprintsen_US
dc.identifierdoi:10.13016/m2wuzw-xppi
dc.identifier.citationArteaga, L. A., Behrenfeld, M. J., Boss, E., & Westberry, T. K. (2022). Vertical structure in phytoplankton growth and productivity inferred from Biogeochemical-Argo floats and the Carbon-based Productivity Model. Global Biogeochemical Cycles, 36, e2022GB007389. https://doi.org/10.1029/2022GB007389en_US
dc.identifier.urihttps://doi.org/10.1029/2022GB007389
dc.identifier.urihttp://hdl.handle.net/11603/25735
dc.language.isoen_USen_US
dc.publisherAGUen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC GESTAR II Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rights"©2018. American Geophysical Union. All Rights Reserved"en_US
dc.rightsAccess to this item will begin on 02/19/2023
dc.titleVertical Structure in Phytoplankton Growth and Productivity Inferred From Biogeochemical-Argo Floats and the Carbon-Based Productivity Modelen_US
dc.typeTexten_US
dcterms.creatorhttps://orcid.org/0000-0002-2796-7452en_US

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