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Applying movement ecology models to comparative cognition experiments: a field test in hummingbirds

Lookup NU author(s): Dr David PritchardORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Traditionally, evidence for spatial learning in animals involves experiments; however, tools developed for analysing tracking data are increasingly being used to infer the use of spatial memory and other cognitive processes in animal movements. In this study, we combined these statistical models with field experiments to analyse how patterns of hummingbird movements change as birds learn a rewarded location. Using hidden Markov models (HMMs), we used both changes in two movement states as well as experimental behavioural measures of spatial memory to determine how searching performance and behaviour changed as birds gained experience and how important local landmarks were for guiding search. Regardless of whether birds had a single training trial to learn a flower’s location or 12 repeated trials, hummingbirds learned the location of the flower although performance suffered when we removed the local landmarks. While the hovering locations suggested that removing landmarks led to a slight decrease in accuracy compared with when landmarks were present, the HMMs suggest that this was part of a larger shift from a memory-led search strategy to a more systematic searching process. Our results suggests that models used in movement ecology could provide a valuable tool for experiments in comparative cognition.


Publication metadata

Author(s): Pritchard DJ, Hurly TA, Photopoulou T, Healy SD

Publication type: Article

Publication status: Published

Journal: Proceedings of the Royal Society B

Year: 2025

Volume: 292

Issue: 2051

Pages: 20250717

Print publication date: 23/07/2025

Online publication date: 23/07/2025

Acceptance date: 03/06/2025

Date deposited: 04/08/2026

ISSN (print): 0962-8452

ISSN (electronic): 1471-2954

Publisher: The Royal Society Publishing

URL: https://doi.org/10.1098/rspb.2025.0717

DOI: 10.1098/rspb.2025.0717

Data Access Statement: The data and code for analysis of distances can be found at [39], while the code for the HMMs can be found at [40]. Supplementary material is available online

PubMed id: 40695340


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Funding

Funder referenceFunder name
Royal Society Newton International Fellowship (NF170682)

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