Evidence map›Paper›PMID 32655991›Full record

ArticlePeerJ2020

Multi-predator assemblages, dive type, bathymetry and sex influence foraging success and efficiency in African penguins.

Grace Sutton, Lorien Pichegru, Jonathan A Botha, Abbas Z Kouzani, Scott Adams, Charles A Bost, John P Y Arnould

Abstract read
In one paragraph

Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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  5. Animal tag technology keeps coming of age: an engineering perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
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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

7 authors.

Grace SuttonSchool of Life and Environmental Sciences, Faculty of Science & Technology, Deakin University, Burwood, Victoria, Australia.
Lorien PichegruDST/NRF Centre of Excellence at the FitzPatrick Institute of African Ornithology, Institute for Coastal and Marine Research, Department of Zoology, Nelson Mandela University, Port Elizabeth, South Africa.
Jonathan A BothaMarine Apex Predator Research Unit (MAPRU), Institute for Coastal and Marine Research, Department of Zoology, Nelson Mandela University, Port Elizabeth, South Africa.
Abbas Z KouzaniSchool of Engineering, Deakin University, Geelong, Victoria, Australia.
Scott AdamsSchool of Engineering, Deakin University, Geelong, Victoria, Australia.
Charles A BostCentre d'Études Biologiques de Chizé, UMR7372 CNRS/Univ La Rochelle, Villiers-en-Bois, France.
John P Y ArnouldSchool of Life and Environmental Sciences, Faculty of Science & Technology, Deakin University, Burwood, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine predators adapt their hunting techniques to locate and capture prey in response to their surrounding environment. However, little is known about how certain strategies influence foraging success and efficiency. Due to the miniaturisation of animal tracking technologies, a single individual can be equipped with multiple data loggers to obtain multi-scale tracking information. With the addition of animal-borne video data loggers, it is possible to provide context-specific information for movement data obtained over the video recording periods. Through a combination of video data loggers, accelerometers, GPS and depth recorders, this study investigated the influence of habitat, sex and the presence of other predators on the foraging success and efficiency of the endangered African penguin,

Indexed as

AccelerometerBenthicBio-loggingCameraEndangeredGroup foragingPenguinPrey captureSex-specific foragingSouth Africa

Identifiers

PMID32655991
PMCPMC7333648

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.