Evidence map›Paper›PMID 27275029›Full record

ArticleJournal of plankton research2016

Microplankton trace element contents: implications for mineral limitation of mesozooplankton in an HNLC area.

Stephen B Baines, Xi Chen, Stefan Vogt, Nicholas S Fisher, Benjamin S Twining, Michael R Landry

Abstract read
In one paragraph

Article in Journal of plankton research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

6 authors.

Stephen B BainesDepartment of Ecology and Evolution , Stony Brook University , Stony Brook, NY 11789-5245 , USA.
Xi ChenSchool of Marine and Atmospheric Sciences , Stony Brook University , Stony Brook, NY 11789-5000 , USA.
Stefan VogtAdvanced Photon Source , Argonne National Laboratory , Argonne, IL 60439 , USA.
Nicholas S FisherSchool of Marine and Atmospheric Sciences , Stony Brook University , Stony Brook, NY 11789-5000 , USA.
Benjamin S TwiningBigelow Laboratory of Ocean Sciences, East Boothbay, ME 04544 , USA.
Michael R LandryScripps Institution of Oceanography , University of California at San Diego , 9500 Gilman Dr, La Jolla, CA 92093-0227 , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesozooplankton production in high-nutrient low-chlorophyll regions of the ocean may be reduced if the trace element concentrations in their food are insufficient to meet growth and metabolic demands. We used elemental microanalysis (SXRF) of single-celled plankton to determine their trace metal contents during a series of semi-Lagrangian drift studies in an HNLC upwelling region, the Costa Rica Dome (CRD). Cells from the surface mixed layer had lower Fe:S but higher Zn:S and Ni:S than those from the subsurface chlorophyll maximum at 22-30 m. Diatom Fe:S values were typically 3-fold higher than those in flagellated cells. The ratios of Zn:C in flagellates and diatoms were generally similar to each other, and to co-occurring mesozooplankton. Estimated Fe:C ratios in flagellates were lower than those in co-occurring mesozooplankton, sometimes by more than 3-fold. In contrast, Fe:C in diatoms was typically similar to that in zooplankton. RNA:DNA ratios in the CRD were low compared with other regions, and were related to total autotrophic biomass and weakly to the discrepancy between Zn:C in flagellated cells and mesozooplankton tissues. Mesozooplankton may have been affected by the trace element content of their food, even though trace metal limitation of phytoplankton was modest at best.

Indexed as

diatomsflagellatesironmanganesemesozooplanktonmineral limitationnickelSXRFtrace metalszinc

Identifiers

PMID27275029
PMCPMC4889991

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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.