Applying Habitat Suitability Modelling to identify the distribution of a long distance avian migrant, the white stork, in the eastern sahelian.

Using monthly SDMs, the current <i>potential </i>and <i>realized</i> distribution of the white stork is analysed and hypothesis of future changes in its distribution are presented. Therefore, remotely sensed data is acquired and processed. Telemetry data is obtained from the <i>Movebank</i>-database and environmental data is obtained from various sources (e.g., from the <i>WorldClim</i>-database). Using telemetry data enables modelling the white stork distribution on the individual and on the population level. The models are based on the maximum entropy algorithm Maxent and limited to the wintering grounds of the white stork in Africa, which are located in the eastern Sahelian zone.Using monthly SDMs, the current <i>potential </i>and <i>realized</i> distribution of the white stork is analysed and hypothesis of future changes in its distribution are presented. Therefore, remotely sensed data is acquired and processed. Telemetry data is obtained from the <i>Movebank</i>-database and environmental data is obtained from various sources (e.g., from the <i>WorldClim</i>-database). Using telemetry data enables modelling the white stork distribution on the individual and on the population level. The models are based on the maximum entropy algorithm Maxent and limited to the wintering grounds of the white stork in Africa, which are located in the eastern Sahelian zone.