Evidence map›Paper›PMID 41153883›Full record

ArticleAnimals : an open access journal from MDPI2025

Refining Electronic Tagging of Marine Animals: Computational Fluid Dynamics and Pelagic Sharks.

Tobias C Maillard, Francesco Garzon, Lucy A Hawkes, Gavin R Tabor, Matthew J Witt

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Tobias C MaillardEngineering Group, Faculty of Environment, Science and Economy, Streatham Campus, University of Exeter, Exeter EX4 4QF, UK.
Francesco GarzonBiosciences, Hatherly Laboratories, Faculty of Health and Life Sciences, Streatham Campus, University of Exeter, Exeter EX4 4PS, UK.ORCID 0000-0002-3237-6585
Lucy A HawkesBiosciences, Hatherly Laboratories, Faculty of Health and Life Sciences, Streatham Campus, University of Exeter, Exeter EX4 4PS, UK.ORCID 0000-0002-6696-1862
Gavin R TaborEngineering Group, Faculty of Environment, Science and Economy, Streatham Campus, University of Exeter, Exeter EX4 4QF, UK.ORCID 0000-0003-3549-228X
Matthew J WittBiosciences, Hatherly Laboratories, Faculty of Health and Life Sciences, Streatham Campus, University of Exeter, Exeter EX4 4PS, UK.ORCID 0000-0002-9498-5378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Animal-borne tags are widely used for tracking and monitoring the movements, behaviour, and ecology of marine animals. Tagging can, however, adversely affect the hydrodynamic force balance and welfare of tagged animals, and consequently, the reliability and accuracy of data, such as by increasing drag, altering swimming characteristics, and reducing the survival rate of tagged animals. Therefore, it is important to understand and quantify the impact of tagging on marine animal hydrodynamics and to optimize the choice of tag and attachment position. In this study, computational fluid dynamics (CFD) modelling is used to simulate the flow around tagged and untagged mako sharks (Lamnidae) across their swim speed range for two dominant tag shapes, tagging sites, and body sizes. The results indicate that fin mounted tags can have a significant impact on shark hydrodynamics and energetic balance, increasing drag between 17.6% and 31.2% for a mako shark (2.95 m fork length) across the range of flow velocities tested (0.5 to 9.1 m/s). In comparison, the optimal tagging site for archival tags attached to the dorsal musculature leads to a minimal increase in drag for the larger sharks (>1.5 m), which becomes considerable for small sharks (1 m fork length; 5.1% to 7.6% increase) and leads to an average energetic cost equivalent to 7% of the daily energetic requirement of an untagged animal. Other aspects of the force balance are considered, which reveal a range of varied and complex effects. Recommendations for animal size thresholds (>1.5 m FL) and refinements of tagging practice are suggested.

Indexed as

animal-borne data loggersbiologgingcomputational fluid dynamics (CFD)drag coefficientmako sharkshark taggingtag impact

Identifiers

PMID41153883
PMCPMC12560902

What OpenQuestion holds

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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.