Understanding soaring bird migration through interactions and decisions at the individual level

• Published in: Journal of theoretical biology Vol. 270; no. 1; pp. 112 - 126
• Main Authors: van Loon, E.E., Shamoun-Baranes, J., Bouten, W., Davis, S.L.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 07.02.2011; Elsevier
• Subjects: Algorithms; Animal Migration - physiology; Animals; autumn; birds; Birds - physiology; breeding sites; Ciconia ciconia; Computer Simulation; Convection; Emergent patterns; Environment; flight; Flocking; Individual-based model; migratory behavior; Models, Biological; simulation models; Social Behavior; Social interactions; Thermal convection; Weather; Central Asia; Central European region; Thermal convection; Social interactions; Flocking; Individual-based model; Emergent patterns
• ISSN: 0022-5193; 1095-8541
• DOI: 10.1016/j.jtbi.2010.10.038

Many soaring bird species migrate southwards in autumn from their breeding grounds in Europe and Central Asia towards their wintering grounds. Our knowledge about interactions between migrating birds, thermal selection during migration and mechanisms that lead to flocking or convergent travel networks is still very limited. To start investigating these aspects we developed an individual-based simulation model that describes the local interactions between birds and their environment during their migratory flight, leading to emergent patterns at larger scales. The aim of our model is to identify likely decision rules with respect to thermal selection and navigation. After explaining the model, it is applied to analyse the migration of white storks (Ciconia ciconia) over part of its migration domain. A model base-run is accompanied by a sensitivity analysis. It appears that social interactions lead to the use of fewer thermals and slight increases in distance travelled. Possibilities for different model extensions and further model application are discussed.