Periodic Reporting for period 1 - DynFish (How the dynamics of personality variation, food intake and social interactions determine anti-predator escape)
Periodo di rendicontazione: 2021-05-14 al 2023-05-13
In this project I study how the relationship between boldness, food intake and predation risk shapes anti-predator escape responses, and explain how mortality risk can generate personality variation in boldness. For this purpose, I test individuals and groups of three-spined stickleback (Gasterosteus aculeatus) in an experimental setup that tracks the movement of individuals on real-time and automatically triggers a decoy predator. Second, I couple this experimental data with computer simulations to provide new insights into the evolution schooling behaviour and maintenance of personality variation under different ecological conditions.
Society may benefit from this project because understanding the factors that affect animal survival is important for species conservation. Additionally, I bring new tools to investigate escape responses in animals, that can be used in natural or laboratory conditions. Finally, the results from computer simulations could be of use to develop new advances in the collective motion of robots, that have countless applications for society.
The results obtained so far are very promising. Sticklebacks obtained from natural populations display consistency in their boldness, food-intake and escape response over time. This data is currently being analysed and is expected to be published in two different manuscripts. These results, together with the introduction of the new state-of-the-art setup, were presented in lab seminars of the University of Bristol, but due to Covid-19, all conferences were suspended and could not be presented to a broader audience. I believe that this new setup and the results obtained from our experiments, will be of interest for many researchers studying animal behaviour in a dynamic world.
I believe that the full analysis of the experimental data will bring new information to explain shoaling patterns and escape behaviour in fish and how variation in animal personality evolves in social groups. These results altogether will have a potential impact for research in behavioural ecology and evolution, and will be of interest to the growing body of researchers interested on the interface between collective behaviour and robotics.