# The behaviour–performance continuum: how does individual variation in locomotor abilities relate to behaviour?

**Authors:** Vincent Careau, Paul Agnani, Nicolas Bonin, Theodore Garland

PMC · DOI: 10.1111/brv.70090 · Biological Reviews of the Cambridge Philosophical Society · 2025-10-28

## TL;DR

This paper explores how animal locomotor abilities and behaviors are connected, highlighting the challenges and insights in studying these relationships.

## Contribution

The paper provides the first global synthesis of how locomotor performance and behavior covary in animals.

## Key findings

- Most studies report phenotypic correlations between locomotor performance and behavior.
- Differentiating between performance and behavior measures can be arbitrary in some cases.
- A multi-level variance partitioning approach is suggested to understand motivation differences.

## Abstract

A series of terminological, technical, conceptual, and statistical challenges present themselves when trying to study correlations between measures of performance abilities (what an animal can do) and behavioural traits (what an animal chooses to do). We attempt to synthesise literature on this topic, with a specific focus on locomotor performance and behavioural traits measured with standardised tests. We argue that measures of forced performance (e.g. endurance on a motorised treadmill) and voluntary behaviour (e.g. wheel running) often fall along a continuum, sometimes grading into each other. On the performance end of the continuum, tests should measure what an animal can do when motivation is maximal and/or it is given no choice but to exert itself maximally. On the behavioural end of the continuum, tests should capture what animals choose to do of their own free volition, with no experimental attempt to affect motivation. Hence, performance tests attempt to eliminate variation in motivation by forcing all individuals to be maximally motivated, whereas variation in motivation is an inherent component of all behavioural tests. In some cases, however, differentiating between measures of performance versus behaviour can seem almost arbitrary. Moreover, individuals may consistently differ in how willing they are to ‘perform’ even when ‘forced’ to do so. We compiled studies reporting any association (covariation, correlation or linear regression) between putative measures of locomotor performance and behaviour in various taxa. The vast majority of those studies report phenotypic correlations, and only a handful have reported genetic correlations or explored potential correlated responses to selection on performance or behaviour. To our knowledge, this is the first global overview of how locomotor performance and behaviour covary in animals, and we believe that our synthesis will be useful to guide future research on locomotor performance and its relationship with other ecologically relevant traits. For example, we argue that a multi‐level (co)variance partitioning approach is necessary to gain insights into the importance of how motivation differs across levels (e.g. among‐ versus within‐individual variation, genetic versus environmental variation). Finally, we outline a multitude of compensation and co‐specialisation mechanisms that may occur between performance and behaviour, and propose future avenues for research that include selection and manipulative studies to help identify the role of correlational selection, individual experience, and predation detectability on the relationships between behaviour and performance.

## Full-text entities

- **Diseases:** death (MESH:D003643), pain (MESH:D010146), aggressiveness (MESH:D010554), startle (MESH:D016750), fatigue (MESH:D005221)
- **Chemicals:** oxygen (MESH:D010100), salt (MESH:D012492), glucose (MESH:D005947), lactate (MESH:D019344), Ca2+ (-)
- **Species:** Mus musculus (house mouse, species) [taxon 10090], Serpentes (snakes, infraorder) [taxon 8570], Drosophila melanogaster (fruit fly, species) [taxon 7227], Rattus norvegicus (brown rat, species) [taxon 10116], Callosobruchus chinensis (azuki bean weevil, species) [taxon 146774], Zootoca vivipara (common lizard, species) [taxon 8524], Peromyscus leucopus (white-footed mouse, species) [taxon 10041], Trichonephila plumipes (species) [taxon 941800], Rodentia (rodent, order) [taxon 9989], Diptera (flies, order) [taxon 7147], Homo sapiens (human, species) [taxon 9606], Thamnophis sirtalis (species) [taxon 35019], Dipodomys (kangaroo rats, genus) [taxon 10016], Danio rerio (leopard danio, species) [taxon 7955], Atlantoxerus getulus (Barbary ground squirrel, species) [taxon 226855], Sciuromorpha (squirrels, suborder) [taxon 33553], Architeuthis dux (giant squid, species) [taxon 256136], Lepidosauria (lepidosaurs, class) [taxon 8504]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12783434/full.md

## References

262 references — full list in the complete paper: https://tomesphere.com/paper/PMC12783434/full.md

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Source: https://tomesphere.com/paper/PMC12783434