Foto: Dr. Nina Kuckländer
The main objective of this project is to develop a network model for global avian migration. Certain breeding, resting and wintering areas represent the nodes that are connected by seasonally driven transition probabilities that can be described by circular functions. We examine patterns of migratory movement and characterise distributions of flight distances. For evaluation and parametrisation of the network model we work with ring recovery data, but mainly use satellite telemetry data of different bird species (e.g. white stork). From this data it is possible to systematically determine breeding, resting and wintering regions. With statistical methods we fit the parameters of a selected circular function to the transition probabilities in the data and construct migration networks for different bird species. In cooperation with ornithologists we want to assess the importance of e.g. the wadden sea as a resting area for different bird species. Finally, we plan to examine the dynamics of spread and dispersal of avian borne diseases on such readily parameterised migration networks. This is a special case of bioinvasion on a network its transition probabilities being not time independent, but seasonally driven.