Two Decades of Increase in Southern Ocean Net Community Production Revealed by BGC‐Argo Floats

Abstract Nitrate is an essential nutrient for phytoplankton growth and is a primary component of ocean carbon cycling. In this study, we developed a neural network constrained by the high spatial and temporal coverage of BGC‐Argo floats to predict nitrate in a consistent way throughout space and time in the Southern Ocean, a key area for ocean carbon uptake and controlling global ocean nutrient distributions. After correcting for physical and sampling biases using the Biogeochemical Southern Ocean State Estimate model, we show that annual net community production (ANCP), originally calculated from seasonal nitrate drawdown, reveals the greatest production around the 45–55°S meridional band, and an average basin‐wide ANCP of 3.91 ± 0.13 PgC y −1 with a significant increase of 0.67% y −1 from 2004 to 2022. We also highlight that using the common nitrate seasonal drawdown method to derive ANCP might underestimate the true carbon export at depth by about one third. Our findings align with previous studies, which indicate an increase in surface satellite chlorophyll‐ a and model export fluxes. Our results demonstrate the potential of leveraging machine learning constrained by BGC‐Argo observations to study long‐term changes of biogeochemical processes in the ocean.

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Publication Details

Journal
Global Biogeochemical Cycles
Published
2025-08-01
DOI
https://doi.org/10.1029/2024gb008371
Citations
1
Primary Topic
Marine and coastal ecosystems
Type
article
Field-Weighted Citation Impact
1.79

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article

Two Decades of Increase in Southern Ocean Net Community Production Revealed by BGC‐Argo Floats

Kenneth S. Johnson, Jonathan D. Sharp, Yuichiro Takeshita, Guillaume Liniger
1 citations
Global Biogeochemical Cycles
Marine and coastal ecosystems
1.79
article

Two Decades of Increase in Southern Ocean Net Community Production Revealed by BGC‐Argo Floats

Kenneth S. Johnson, Jonathan D. Sharp, Yuichiro Takeshita, Guillaume Liniger
article en
1 citations

Abstract

Abstract Nitrate is an essential nutrient for phytoplankton growth and is a primary component of ocean carbon cycling. In this study, we developed a neural network constrained by the high spatial and temporal coverage of BGC‐Argo floats to predict nitrate in a consistent way throughout space and time in the Southern Ocean, a key area for ocean carbon uptake and controlling global ocean nutrient distributions. After correcting for physical and sampling biases using the Biogeochemical Southern Ocean State Estimate model, we show that annual net community production (ANCP), originally calculated from seasonal nitrate drawdown, reveals the greatest production around the 45–55°S meridional band, and an average basin‐wide ANCP of 3.91 ± 0.13 PgC y −1 with a significant increase of 0.67% y −1 from 2004 to 2022. We also highlight that using the common nitrate seasonal drawdown method to derive ANCP might underestimate the true carbon export at depth by about one third. Our findings align with previous studies, which indicate an increase in surface satellite chlorophyll‐ a and model export fluxes. Our results demonstrate the potential of leveraging machine learning constrained by BGC‐Argo observations to study long‐term changes of biogeochemical processes in the ocean.

Global Biogeochemical CyclesVol. 39(8)
National Oceanic and Atmospheric Administration (US), Monterey Bay Aquarium Research Institute (US), Cooperative Institute for Research in Environmental Sciences (US), University of Washington (US), NOAA Pacific Marine Environmental Laboratory (US)
National Science Foundation, David and Lucile Packard Foundation, National Aeronautics and Space Administration, National Oceanic and Atmospheric Administration, NOAA Pacific Marine Environmental Laboratory
Life below water
Openalex Percentile: Top 15%
Marine and coastal ecosystems
1.79
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