Social interactions are fundamental for many ecological and evolutionary processes, including foraging. However, in many animals that use social information, a high degree of individuality in traits such as site and diet selection also exists. This represents an apparent paradox when sociality could potentially reduce individuality. Thus, it is unknown how these two processes interact to shape current and future foraging behaviour. For instance, can some animals become specialised in terms of social information use, or does group foraging erode individuality? This project will determine the interplay between the social and learned components of foraging, and levels of specialisation in habitat use and diet, across of range of seabirds in the Sulidae family (a morphologically constrained but geographically diverse group). State-of-the-art biologgers will be used to collect coupled video and GPS data to quantify the prevalence of group, solitary and commensal foraging in focal taxa representative of tropical and temperate environments, and link strategy to foraging success. State-space models, trained on coupled datasets, will be applied to long-term tracking data from nine Sulid species, to allow a family-scale comparison of specialisation. Through these focused analyses of individual foraging, this research action will enable predictions about the adaptive capabilities of populations to climate change, thus aligning with EU environmental priorities. The current skill set of the experienced researcher, together with a suite of newly acquired skills gained under tutelage of the strong supervisory partnership at host organisations, will make this timely research possible. This global, interdisciplinary project will result in high levels of knowledge exchange, foster international collaboration, and maximise the experienced researcher’s professional development, mobility and career potential, while addressing a fundamental question by combining two fields in bioscience.
Call for proposal
See other projects for this call