Evidence map›Paper›PMID 42212007›Full record

ArticleJournal of plankton research

A new visual index for assessing zooplankton biomass and its utility in assessing prey availability for megaplanktivores.

Hannah M Moloney, Asia O Armstrong, Guy M W Stevens, Christine L Dudgeon, Joanna L Harris, Kathy A Townsend, Anthony J Richardson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of plankton research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Hannah M MoloneySchool of Science, Technology and Engineering, University of the Sunshine Coast, Fraser Coast Campus, 161-179 Old Maryborough Road Hervey Bay, Queensland 4655, Australia.ORCID https://orcid.org/0009-0003-8509-8325
Asia O ArmstrongSchool of Science, Technology and Engineering, University of the Sunshine Coast, Moreton Bay Campus, 1 Moreton Parade Petrie, Queensland 4502, Australia.ORCID https://orcid.org/0000-0002-9307-0598
Guy M W StevensThe Manta Trust, Catemwood House, Norwood Lane, Corscombe, Dorset DT2 0NT, United Kingdom.ORCID https://orcid.org/0000-0002-2056-9830
Christine L DudgeonSchool of Science, Technology and Engineering, University of the Sunshine Coast, Moreton Bay Campus, 1 Moreton Parade Petrie, Queensland 4502, Australia.ORCID https://orcid.org/0000-0001-5059-7886
Joanna L HarrisThe Manta Trust, Catemwood House, Norwood Lane, Corscombe, Dorset DT2 0NT, United Kingdom.ORCID https://orcid.org/0000-0001-8684-9096
Kathy A TownsendSchool of Science, Technology and Engineering, University of the Sunshine Coast, Fraser Coast Campus, 161-179 Old Maryborough Road Hervey Bay, Queensland 4655, Australia.ORCID https://orcid.org/0000-0002-2581-2158
Anthony J RichardsonCommonwealth Scientific and Industrial Research Organisation (CSIRO) Environment, BioSciences Precinct (QBP), 306 Carmody Road St Lucia, Queensland 4067, Australia.ORCID https://orcid.org/0000-0002-9289-7366

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Zooplankton are vital links in marine food webs, yet their biomass remains challenging to quantify across broad spatial and temporal scales. This study introduces the Zooplankton Visual Index-a simple, rapid and scalable semi-quantitative method for evaluating zooplankton biomass through underwater observations. Following the establishment of a standardized protocol, validation against

Indexed as

bloomsmarineplanktivoresplanktonprey abundance

Identifiers

PMID42212007
PMCPMC13215585

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.