Evidence map›Paper›PMID 41986411›Full record

ArticleScientific reports2026

Inferring sperm whale (Physeter macrocephalus) sex and developmental stage using aerial photogrammetry.

Ana Eguiguren, David Gaspard, Christine M K Clarke, Hal Whitehead

Abstract read
In one paragraph

Article in Scientific reports, 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

4 authors.

Ana EguigurenBiology Department, Dalhousie University, Halifax, NS, Canada. anaeguibur@gmail.com.
David GaspardBiology Department, Dalhousie University, Halifax, NS, Canada.
Christine M K ClarkeBiology Department, Dalhousie University, Halifax, NS, Canada.
Hal WhiteheadBiology Department, Dalhousie University, Halifax, NS, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Demographic data (i.e. sex and age) are fundamental for analyzing behaviour patterns and evaluating the reproductive potential of a population. However, determining these traits in the wild can be challenging, particularly for marine animals with concealed genitals that spend most of their time underwater. Here, we developed a minimally invasive method to infer the developmental stage and sex of sperm whales (Physeter macrocephalus) off the Galápagos Islands (N = 51) using uncrewed aerial vehicle (UAV) photogrammetry. We leveraged historic whaling data on sperm whale growth and sexual dimorphism to assign developmental stages to individuals based on their body lengths. We applied Bayesian theory to estimate the probability that individuals were female based on their morphometry. Our methods allowed confident classification of the developmental stage and sex for most individuals. Moreover, an examination of the inferred developmental stage and sex of individuals participating in peduncle diving revealed patterns congruent with previous findings, which show that this behaviour is predominantly directed at females and performed by subadult individuals. Our method offers an efficient, low-cost means of obtaining demographic information from live sperm whales, contributing to a deeper understanding of their behavioural development and informing population status and viability assessments.

Indexed as

PhotogrammetrySperm WhaleAnimalsBayes TheoremFemaleMaleSex CharacteristicsCetaceanDronePhotogrammetryPopulation demographySexual dimorphismSperm whale

Identifiers

PMID41986411
PMCPMC13246764

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.