Masters' Theses in Urban Bird Diversity and - Munich, Deutschland - Technische Universität München

Technische Universität München

Geprüftes Unternehmen

Munich, Deutschland

vor 3 Wochen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

Background

Most of the current and future human population growth will occur in cities, resulting in a concentration of human activity and a loss of urban nature.

Yet, we are increasingly aware of the importance of urban green, not only for biodiversity, but also for human health and well-being.

It is therefore critical to maintain and increase urban green space.

However, the complex relationships among biodiversity, urban green space, and soundscapes (the total combined sound of an environment) are not well understood.

Sound and the urban soundscape have been shown to be indicators of biodiversity and environmental conditions and can have a profound impact on human health.

Still, the relationship between urban features and biodiversity as well as soundscapes is understudied.

We are offering two concurrent masters theses to highly motivated students to investigate the drivers of urban bird diversity and the relationship between diversity, environment, and soundscapes.

These theses are part of two greater projects looking at how urban features drive bird diversity, how bird diversity and urban features are represented in soundscapes and how these relate to human health and wellbeing.

The results of this work will contribute to tools and guidelines for creating multifunctional and biodiverse urban green spaces in Munich.

Project 1 description - Investigating the relationship between bird biodiversity and vegetation structural complexity

The focus of this thesis is on how vegetation structural complexity and other specific local urban features along with aspects of the surrounding urban space influence urban bird diversity.

This thesis will collect bird recordings to be identified using our AI based automatic identification pipeline.

Project 2 description - Investigating the relationship between vegetation structural complexity, bird biodiversity and soundscapes

Requirements The ability to work well in a small team is required. Previous experience with GIS is beneficial; experience with Python and R are highly beneficial but not required. Experience with the identification of German birds by sound is a plus; particularly for project 1. Experience with bioacoustics is also beneficial but not required. Upon successful completion of the project the results might lead to a publication. These projects will aim to start in summer (July/August The thesis can be supervised in German or English.

If you are interested or for any questions, please contact: Andrew Fairbairn (andrew.fairbairn[at]), Professor Monika Egerer [at]) and/or Dr Sebastian Meyer [at])