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A conceptual approach to partitioning a vertical profile of phytoplankton biomass into contributions from two communities

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posted on 2025-08-01, 14:19 authored by RJW Brewin, G Dall’Olmo, J Gittings, X Sun, PK Lange, DE Raitsos, HA Bouman, I Hoteit, J Aiken, S Sathyendranath
We describe an approach to partition a vertical profile of chlorophyll-a concentration into contributions from two communities of phytoplankton: one (community 1) that resides principally in the turbulent mixed-layer of the upper ocean and is observable through satellite visible radiometry; the other (community 2) residing below the mixed-layer, in a stably stratified environment, hidden from the eyes of the satellite. The approach is tuned to a time-series of profiles from a Biogeochemical-Argo float in the northern Red Sea, selected as its location transitions from a deep mixed layer in winter (characteristic of vertically well-mixed systems) to a shallow mixed layer in the summer with a deep chlorophyll-a maximum (characteristic of vertically stratified systems). The approach is extended to reproduce profiles of particle backscattering, by deriving the chlorophyll-specific backscattering coefficients of the two communities and a background coefficient assumed to be dominated by non-algal particles in the region. Analysis of the float data reveals contrasting phenology of the two communities, with community 1 blooming in winter and 2 in summer, community 1 negatively correlated with epipelagic stratification, and 2 positively correlated. We observe a dynamic chlorophyll-specific backscattering coefficient for community 1 (stable for community 2), positively correlated with light in the mixed-layer, suggesting seasonal changes in photoacclimation and/or taxonomic composition within community 1. The approach has the potential for monitoring vertical changes in epipelagic biogeography and for combining satellite and ocean robotic data to yield a three-dimensional view of phytoplankton distribution.

Funding

549947,SS

BICEP

European Space Agency (ESA)

King Abdullah University of Science and Technology (KAUST)

MR/V022792/1

Medical Research Council (MRC)

POSEIDON

REP/1/3268-01-01

Simons Foundation (SF)

History

Rights

© 2022. The Authors. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Notes

This is the final version. Available from American Geophysical Union / Wiley via the DOI in this record. These data were collected and made freely available by the International Argo Program and the national programs that contribute to it (https://argo.ucsd.edu, https://www.ocean-ops.org). The Argo Program is part of the Global Ocean Observing System. All data and code used in the paper are provided openly on a GitHub page (https://github.com/rjbrewin/Two-community-phyto-model). This includes an example Jupyter Notebook Python Script, processing this BGC-Argo float and tuning the models. Details of how to run it without having to install software are provided as Supplementary Material to this manuscript.

Journal

Journal of Geophysical Research: Oceans

Publisher

American Geophysical Union / Wiley

Version

  • Version of Record

Language

en

FCD date

2022-04-13T06:20:26Z

FOA date

2022-04-13T06:30:10Z

Citation

Vol. 127 (4), article e2021JC018195

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