Evidence map›Paper›PMID 41609332›Full record

ArticleThe Journal of physiology2026

Validation of aerial photogrammetry methods to measure body size, condition and mass in small cetaceans.

Riccardo Cicciarella, Erik P Willems, Benjamin Markham, Manuela R Bizzozzero, Wayne Phillips, Simon J Allen, Michael Krützen, Fredrik Christiansen

Abstract readValidation Study
In one paragraph

Article in The Journal of physiology, 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

8 authors.

Riccardo CicciarellaEvolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-2424-9348
Erik P WillemsEvolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-7555-3484
Benjamin MarkhamMarine Sciences, Sea World Foundation Australia, Main Beach, QLD, Australia.ORCID 0009-0007-7253-0683
Manuela R BizzozzeroEvolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-5608-8211
Wayne PhillipsMarine Sciences, Sea World Foundation Australia, Main Beach, QLD, Australia.ORCID 0009-0007-7923-1651
Simon J AllenEvolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-2260-8143
Michael KrützenEvolutionary Genetics Group, Department of Evolutionary Anthropology, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-1055-5299
Fredrik ChristiansenMarine Mammal Research, Department of Ecoscience, Aarhus University, Roskilde, Denmark.ORCID 0000-0001-9090-8458

Funding

A.H. Schultz FoundationSwiss National Science Foundation 310030_204974
6 · The paper itself

Abstract

Accurate morphometric measurements are essential for estimating body size and condition in animals. These characteristics are, in turn, key to eco-physiological studies, wildlife management and conservation. For free-ranging cetaceans, however, collecting non-invasive morphometric data is challenging. Unoccupied aerial vehicle (UAV) photogrammetry offers a promising solution but requires ground-truthing to assess accuracy and precision. Similarly, morphometric-based indices of body condition must be validated against the animals' true body condition. Here we validated UAV-derived estimates of body size and condition in bottlenose dolphins (Tursiops spp.) under human care by comparing photogrammetry-based measurements of body length, width, height and girth from both stationary and swimming individuals with manual measurements. The two methods showed negligible differences, with UAV-based data yielding lower variability, confirming both high measurement accuracy and precision. Using UAV-derived measurements we calculated a volume-based body condition index (BCI) and compared it with a mass-based BCI, a standard metric in ecological research. The two indices showed a near-perfect fit, demonstrating that volume-based metrics reliably reflect true body condition in small cetaceans. Body density decreased with increasing body condition, consistent with higher fat-to-muscle ratios. By combining UAV-derived body volume with predicted density, based on their body condition, we accurately estimated individual body mass (mean error = 6.4%). This study provides a comprehensive validation of UAV-based photogrammetry to estimate body size, condition and mass in small cetaceans, highlighting its value as a non-invasive and cost-effective tool for ecological and conservation research. KEY POINTS: Measuring body size and condition in free-ranging dolphins is difficult, yet essential to understand their physiology, energy reserves and health. We used unoccupied aerial vehicles (UAV) to obtain accurate, non-invasive body measurements of bottlenose dolphins and compared them with direct manual measurements. UAV-based photogrammetry produced highly precise and accurate estimates of body length, girth and overall body volume, even for freely swimming animals. A UAV-derived, volume-based body condition index matched traditional mass-based indices and enabled accurate estimation of body mass. These results validate UAV photogrammetry as a reliable, ethical and cost-effective method for assessing body size, condition and mass in small cetaceans, thereby advancing ecological and physiological research in the wild.

Indexed as

Body SizeBody WeightBottle-Nosed DolphinPhotogrammetryAnimalsBody CompositionFemaleMalebody conditionbody massbottlenose dolphinsdrone photogrammetrynon‐invasive morphometricsvalidation

Identifiers

PMID41609332
PMCPMC12953016

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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.