Simulating individual movement in fish

Pike, Tom and Burman, Oliver (2023) Simulating individual movement in fish. Scientific Reports, 13 . p. 14581. ISSN 2045-2322

Full content URL:

Simulating individual movement in fish
Open access published manuscript
s41598-023-40420-1.pdf - Whole Document
Available under License Creative Commons Attribution 4.0 International.

Item Type:Article
Item Status:Live Archive


Accurately quantifying an animal’s movement is crucial for developing a greater empirical and theoretical understanding of its behaviour, and for simulating biologically plausible movement patterns. However, we have a relatively poor understanding of how animals move at fine temporal scales and in three-dimensional environments. Here, we collected high temporal resolution data on the three-dimensional spatial positions of individual three-spined sticklebacks (Gasterosteus aculeatus), allowing us to derive statistics describing key geometric characteristics of their movement and to quantify the extent to which this varies between individuals. We then used these statistics to develop a simple model of fish movement and evaluated the biological plausibility of simulated movement paths using a Turing-type test, which quantified the association preferences of live fish towards animated conspecifics following either ‘real’ (i.e., based on empirical measurements) or simulated movements. Live fish showed no difference in their response to ‘real’ movement compared to movement simulated by the model, although significantly preferred modelled movement over putatively unnatural movement patterns. The model therefore has the potential to facilitate a greater understanding of the causes and consequences of individual variation in movement, as well as enabling the construction of agent-based models or real-time computer animations in which individual fish move in biologically feasible ways.

Keywords:tracking, 3d movement
Subjects:C Biological Sciences > C300 Zoology
Divisions:COLLEGE OF HEALTH AND SCIENCE > School of Life and Environmental Sciences > Department of Life Sciences
ID Code:55767
Deposited On:05 Sep 2023 13:51

Repository Staff Only: item control page