Evidence map›Paper›PMID 35859661›Full record

ArticleJournal of geophysical research. Oceans2022

A Conceptual Approach to Partitioning a Vertical Profile of Phytoplankton Biomass Into Contributions From Two Communities.

Robert J W Brewin, Giorgio Dall'Olmo, John Gittings, Xuerong Sun, Priscila K Lange, Dionysios E Raitsos, Heather A Bouman, Ibrahim Hoteit, Jim Aiken, Shubha Sathyendranath

Abstract read
In one paragraph

Article in Journal of geophysical research. Oceans, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Robert J W BrewinCentre for Geography and Environmental Science College of Life and Environmental Sciences University of Exeter Cornwall UK.ORCID https://orcid.org/0000-0001-5134-8291
Giorgio Dall'OlmoPlymouth Marine Laboratory Plymouth UK.ORCID https://orcid.org/0000-0003-3931-4675
John GittingsProgram of Earth Science and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia.ORCID https://orcid.org/0000-0003-4183-3482
Xuerong SunCentre for Geography and Environmental Science College of Life and Environmental Sciences University of Exeter Cornwall UK.ORCID https://orcid.org/0000-0003-4855-6692
Priscila K LangeDepartamento de Meteorologia Universidade Federal do Rio de Janeiro (UFRJ) Rio de Janeiro Brazil.ORCID https://orcid.org/0000-0003-2136-2273
Dionysios E RaitsosDepartment of Biology National and Kapodistrian University of Athens Athens Greece.ORCID https://orcid.org/0000-0002-6714-2180
Heather A BoumanDepartment of Earth Sciences University of Oxford Oxford UK.ORCID https://orcid.org/0000-0002-7407-9431
Ibrahim HoteitProgram of Earth Science and Engineering King Abdullah University of Science and Technology Thuwal Saudi Arabia.ORCID https://orcid.org/0000-0002-3751-4393
Jim AikenPlymouth Marine Laboratory Plymouth UK.
Shubha SathyendranathPlymouth Marine Laboratory Plymouth UK.ORCID https://orcid.org/0000-0003-3586-192X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

BGC‐Argocommunity structureocean roboticsphytoplanktonsatellitevertical

Identifiers

PMID35859661
PMCPMC9285788

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.