Evidence map›Paper›PMID 42869453›Full record

ArticleBiology letters2026

Energy expenditure of bonobos across their locomotor repertoire.

François Druelle, Jean-Pascal Guéry, Victor Narat

Abstract read
In one paragraph

Article in Biology letters, 2026. 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

3 authors.

François DruelleUMR 7268 ADES, Aix-Marseille Université, CNRS, EFS , Marseille, France.ORCID 0000-0001-9680-6401
Jean-Pascal GuéryLa Vallée des Singes , Romagne, France.
Victor NaratUMR 7206 EA, MNHN, CNRS, Université Paris Cité , Paris, France.

Funding

Human and Environment Department of the Muséum National d'Histoire Naturelle of Paris (France) LOBO-4 (2022)Human and Environment Department of the Muséum National d'Histoire Naturelle of Paris (France) LOBO-42 (2024)
6 · The paper itself

Abstract

Unlike quadrupedal mammals, primates use diverse locomotor modes adapted to arboreal environments. Such diversity of movements challenges allometric models, which underestimate energetic costs by focusing on steady-state walking. To address this, we combined ethological and biomechanical approaches to estimate the net metabolic cost of transport in bonobos (Pan paniscus). Using three-dimensional tracking and a point-mass model, we derived this estimate from net mechanical power and muscle efficiency across locomotor modes. Our results show that quadrupedalism in bonobos (10-12 J kg⁻¹ m⁻¹) exceeds mammalian predictions (approx. 3 J kg⁻¹ m⁻¹), whereas vertical ascent (26-32 J kg⁻¹ m⁻¹) is the most costly mode. However, arboreal locomotion incurs no major energetic penalty, given the high potential for energy recovery via kinetic/potential energy exchange during vertical descent and suspensory locomotion. By integrating these data with field-derived locomotor repertoires, we estimate that daily travel distances (0.4-6 km) account for 3-53% of bonobos' daily energy expenditure. Reversing quadrupedal/bipedal proportions in this model shifts costs to 4-62%. Notably, even with 35% bipedalism, 2 km daily travel remains energetically feasible for bonobos. This suggests that early hominins could have incorporated bipedalism into diverse repertoires without facing energetic constraints, and that increased travel distance may have driven selective pressure for greater bipedal efficiency.

Indexed as

Energy MetabolismLocomotionPan paniscusAnimalsBiomechanical PhenomenaFemaleMaleModels, Biologicalenergeticevolutionlocomotor repertoirePan paniscuspoint-mass model

Identifiers

PMID42869453
PMCPMC13682554

What OpenQuestion holds

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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.