PMy research interests include the spatial analysis and modeling of the impacts of land use on biodiversity, ecosystem functions, and services. To understand these components and their interactions, I guide inter- and transdisciplinary projects integrating in-situ biodiversity monitoring technologies (e.g., acousting sensors) and large-scale monitoring approaches (e.g., satellite remote rensing).
Core staff
As the administrative assistant of Prof. Dr. Anna Cord, I enable the best possible research by minimizing the time and effort placed in administrative tasks. I have decades of experence in this role, having supported other research labs at the University of Bonn.
My research interests include the study of animal behavior, human-wildlife interactions, and biodiversity change. In this process, I routine integrate varied data streams (e.g., remote sensing, biodiversity monitoring), from local to planetary scales. I am particularly interested in the challenges and limitations of data syngergies, and their impact on shaping our knowledge of biodiversity.
Post-Doctoral researchers
Biologist by training, especially passionate about animal ecology, I use spatial analysis and modelling tools to investigate species distributions, population dynamics and their responses to environmental changes like land-use management and climate changes. I focus principally on mountain areas and agroecosystems.
My research deals focuses on integrating biodiversity and agroecological models to guide the development of ecological farming systems through sustainable cropping systems and agroforestry. This involves the use of UAV-remote sensing to monitor vegetation and biodiversity, and in situ data on the occurrence, traits, and function of domesticated and wild species.
PhD Candidates
EinleMy research focuses on analyzing the temporal and spatial behavior of field anomalies in agricultural landscapes using remote sensing techniques and machine learning. The goal is to enhance agricultural practices through data-driven insights and predictive modeling, with the hope of better understanding and improving metrics in biodiversity, economics, policy, and beyond.
