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Medientyp:
E-Artikel
Titel:
Modelling animal contests based on spatio-temporal dynamics
Beteiligte:
Haluts, Amir;
Jordan, Alex;
Gov, Nir S.
Erschienen:
The Royal Society, 2023
Erschienen in:Journal of The Royal Society Interface
Sprache:
Englisch
DOI:
10.1098/rsif.2022.0866
ISSN:
1742-5662
Entstehung:
Anmerkungen:
Beschreibung:
<jats:p>We present a general theoretical model for the spatio-temporal dynamics of animal contests. Inspired by interactions between physical particles, the model is formulated in terms of effective interaction potentials, which map typical elements of contest behaviour into empirically verifiable rules of contestant motion. This allows us to simulate the observable dynamics of contests in various realistic scenarios, notably in dyadic contests over a localized resource. Assessment strategies previously formulated in game-theoretic models, as well as the effects of fighting costs, can be described as variations in our model’s parameters. Furthermore, the trends of contest duration associated with these assessment strategies can be derived and understood within the model. Detailed description of the contestants’ motion enables the exploration of spatio-temporal properties of asymmetric contests, such as the emergence of chase dynamics. Overall, our framework aims to bridge the growing gap between empirical capabilities and theory in this widespread aspect of animal behaviour.</jats:p>