Journal article 10 views
Advancing animal behaviour research using drone technology
,
Chris Sandbrook ,
Miguel Lurgi Rivera ,
Ines Fuertbauer ,
Andrew King
Animal Behaviour, Volume: 222, Start page: 123147
Swansea University Authors:
Lucia Pedrazzi, Miguel Lurgi Rivera , Ines Fuertbauer , Andrew King
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© 2025 The Authors. This is an open access article under the CC BY license.
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DOI (Published version): 10.1016/j.anbehav.2025.123147
Abstract
Unmanned aerial vehicles or drones have revolutionized wildlife monitoring, and they are increasingly being used to study animal behaviour. In this review, examples of how data captured by drones (primarily images and video) enable the study of animal behaviour in less accessible environments, as we...
| Published in: | Animal Behaviour |
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| ISSN: | 0003-3472 |
| Published: |
Elsevier BV
2025
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69121 |
| Abstract: |
Unmanned aerial vehicles or drones have revolutionized wildlife monitoring, and they are increasingly being used to study animal behaviour. In this review, examples of how data captured by drones (primarily images and video) enable the study of animal behaviour in less accessible environments, as well as rare or elusive behaviours, are provided. We believe that the potential application of drone imagery to advance wildlife monitoring creates unique opportunities for animal behaviour research and conservation. Rapid advances in image-tracking technologies and the use of artificial intelligence to identify the position, behaviour and local environment of many individuals simultaneously allow for the automated collection and processing of large data sets. Moreover, drones allow researchers not only to observe but also to manipulate and alter animal behaviour, creating a biohybrid system (i.e. a system involving an interaction between biological and engineered components, as discussed in this special issue), enabling the systematic study of specific behaviours, such as responses to simulated predation risk, or managing animal groups in agricultural settings and human–wildlife conflict scenarios. However, effective drone usage is a difficult task, requiring consideration of many aspects. We highlight the importance of user proficiency in drone piloting and the challenges of processing and analysing the vast amount of data they create. In addition, we provide some insights into the importance of carefully considering the study species and context for animal behaviour research. Various methods of dealing with landscape and interindividual heterogeneity in studies across different species are also suggested. Finally, some ethical considerations and potential unintended consequences of drone usage are discussed. |
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| Keywords: |
artificial intelligence; automated data collection; biohybrid system; image-tracking technologies; unmanned aerial vehicle; wildlife monitoring |
| College: |
Faculty of Science and Engineering |
| Funders: |
L. Pedrazzi was funded by an Engineering and Physical Sciences Research Council studentship (project reference: 2888750) and A. J. King was supported in part by funds from Office of Naval Research Global Grant Grant (number: N629092112030). |
| Start Page: |
123147 |