Student Opportunities
Our group studies the links between insects, landscapes, and their conservation in agricultural systems, and we encourage students to get involved with our research!
Specific project opportunities are listed in the drop-down menu below, though students may potentially work across multiple projects. Some projects may require fieldwork in agricultural farms around Giessen. Most of the projects require no experience in entomology, just an interest in doing insect ecology research. However, please check specific requirements noted in the project descriptions as some projects may require prior experience with R, GIS, or other tools.
If you are interested in a specific project or have further questions, please contact the project lead. We look forward to hearing from you!
Field and Lab Work
How does the microbiome of plants influence tri-trophic plant-herbivore-enemy interactions? (Master's thesis or teacher training)
KoMBi—Kollektive Modelle zur Förderung der Biodiversität
IMPRESS: Improving agrobiodiversity for resilient pest control services across landscapes
Resoilience: Resilience of soil mesofauna after extensification of grasslands (Bachelor's or Master's thesis, or teacher training)
Sound of Soil: Comparison of different arthropod communities inside soil
Data Analysis
Assessing the effects of Apis mellifera in plant-pollinator meta-networks
Does sustainable agriculture consistently benefit biodiversity?
To address this complexity, we will conduct a global meta-analysis to evaluate how sustainable agricultural practices influence the variability of biodiversity outcomes. By comparing biodiversity differences between sustainable agricultural systems, conventional agriculture, and natural reference systems, this analysis aims to uncover patterns and drivers that can help refine strategies for integrating sustainability into agricultural landscapes. We will leverage existing databases that have already compiled information on sustainable agriculture practices. This project will focus on reanalyzing these datasets to explore biodiversity outcomes through the lens of variability metrics.
Literature Reviews