Evidence map›Paper›PMID 42878046›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2026

Locomotion and hunting strategies of large vertebrate predators in pelagic waters.

Paolo Domenici, Federica Spina, Eve Jourdain

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2026. 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

3 authors.

Paolo DomeniciIBF, CNR , Pisa, Province of Pisa, Italy.ORCID 0000-0003-3182-2579
Federica SpinaDepartment of Biology, Ethology Unit, University of Pisa , Pisa, Province of Pisa, Italy.
Eve JourdainNorwegian Orca Survey , Andenes, Norway.ORCID 0000-0003-2619-7799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many of the key dynamics that shape predator-prey interactions are governed by the physical and physiological principles which determine how animals move and perform in their environments. This opinion paper outlines the foundations underlying marine vertebrate predator-prey encounters within the context of pelagic habitats. Variables, such as maximum swimming speed, acceleration and manoeuvrability, play crucial roles in dictating the outcome of predator-prey encounters. In pelagic areas, sustainable swimming speed is an additional factor that can play an important role when chases occur. These locomotor traits are, in turn, influenced by body size, morphology and physiology. For predator-prey size ratio between 10 and 100, predators resort to a number of alternative strategies in order to overcome the elusiveness of the prey resulting from their higher manoeuvrability. These include pursuit leading to prey exhaustion, group hunting and the use of weapons. The framework of how physiological, physical and scaling rules affect pelagic predator-prey systems is a useful tool for investigating multi-predator feeding aggregations, where the relative success and potential competition between each predator species will be dictated by the potential strategies available to them within the scope of their performance limits. This article is part of the theme issue 'Multi-predator feeding aggregations in the pelagic waters'.

Indexed as

Food ChainHuntingLocomotionPredatory BehaviorVertebratesAnimalsBody SizeEcosystemgroup huntinglocomotionpelagic zonepredationscaling

Identifiers

PMID42878046
PMCPMC13670077

What OpenQuestion holds

Textmetadata
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.