When complex social structures evolve, what needs to change? Do social animals need to express more sophisticated behaviours? Is a richer or more complex behavioural repertoire required to support complex social organisations? Are we as human observers able to detect the potentially subtle ways that behaviour may differ in what appear to be similar contexts? And can machine learning approaches help us in this endeavour?
This work is focused on the Lake Tanganyika cichlid radiation, capitalizing on the incredible diversity in behaviour within the Lamprologines.
Here are some papers on behavioural evolution:
Jordan A, Taborsky B, Taborsky M. 2021. Cichlids as a model system for studying social behaviour and evolution. In ‘The Behaviour, Ecology, and Evolution of cichlid fishes: A Contemporary Modern Synthesis’ Abate and Noakes (eds). Springer Academic.
Lein E, Jordan A. 2021. Studying the evolution of social behaviour in Darwin’s Dreampond – a case for the Lamprologine shell cichlids. Hydrobiologia 848, pages 3699–3726 (2021)
Bose APH, Dabernig-Heinz J, Koch L, Grimm J, Sefc KM, Jordan A. 2023. Aggression and spatial positioning of kin and non-kin fish in social groups. Behavioural Ecology arad036 https://doi.org/10.1093/beheco/arad036
Bose APH, Dabernig-Heinz J, Koch L, Grimm J, Sefc KM, Jordan A. 2022. Patterns of sex-biased dispersal are consistent with social and ecological constraints in a group-living cichlid fish. BMC Ecology and Evolution 22, Article number: 21 (2022)
Jordan LA, Maguire S, Hofmann, HA, Kohda M. 2016. The social and ecological consequences of an ‘over-extended’ phenotype. Proceedings of the Royal Society B 283 (1822)
Jordan LA, Ryan MJ. 2015. The sensory ecology of adaptive landscapes. Biology Letters http://dx.doi.org/10.1098/rsbl.2014.1054
The Behavioural Evolution Lab 