About us
At the Group of Agro-ecological Modeling (AEcoMod), we study the reponse of ecosystems in general, and biodiversity in particular, to changes in land use and landscape structure. To identify and explain those changes, we mobilize various data generated through automated field monitoring, Earth observations, and surveys, together with artificial inteligence, probabilistic modeling, and causal inference. Our goal is to support the advancement of nature conservation and restoration science, and identify sustainable pathways for nature and people.
Main projects
PhenoRob
DFG-funded Cluster of Excellence developing new technologies and frameworks to optimize food production while promoting and conserving biodiversity.
World Ecosystem Extent Dynamics (WEED)
ESA tender for the development of an automated ecosystem extent and change accounting system to monitor progress towards the Global Biodiversity Framework.
EarthBridge
Horizon 2020 Bridging project, developing collaborative networks between EU-based remote sensing and biodiversity scientists from the East and West of Europe.
Open positions & theses
- Post-Doc researcher (100%, 3+3 years). The professorship Agro-Ecological Modeling at the Institute of Crop Science and Resource Conservation, within the Faculty of Agricultural, Nutritional and Engineering Sciences, is inviting applications for a Postdoctoral researcher starting as soon as possible. This is a full-time position for 3 years with possibility of extension for 3 more years upon positive evaluation. Alternatively, a part-time arrangement can be agreed [MORE]
- Horizon 2020 project EarthBridge (TV-L 13, 50% 1 year). The position is part of the interdisciplinary European research project EarthBridge - Building Bridges between Earth Observation and Environmental Sciences. EarthBridge brings together four leading universities from Germany, Italy and Czech Republic in a collaborative effort to leverage the potential of Earth Observation (EO) data for advancing the monitoring, modeling, and assessment of biodiversity [MORE].
Currently, there are no open PhD positions.
Feel welcome to contact us if you would like to be supervised by us.
We frequently have open student assistant positions. Please contact us directly for more information.
Offered courses
You will learn how to build and interpret ecological models for natural resource science and management. This will include an introduction to linear models, generalized linear models, generalized additive models, and mixed-effects models, as well as their use and application in R.
Level: Masters
Study program(s): Nature Conservation and Landscape Ecology, Crop Science, Animal Science, Agricultural Sciences and Resource Management in the Tropics and Subtropics
Teacher: Dr. Ryo Ogawa
You will learn the basic principles of conservation biology, with a special focus on spatially-explicit applications in the management of natural resources. The course combines theory, debates on recent scientific papers, and practical sessions with spatial modelling exercises in R.
Level: Masters
Study program(s): Nature Conservation and Landscape Ecology, Crop Science, Animal Science, Agricultural Sciences and Resource Management in the Tropics and Subtropics
Teacher: Dr. Stephanie Roilo
Latest news
On the 26th of September 2024 the final event of the ECO²SCAPE project under the topic “Shaping the future: Co-design for more biodiversity in agricultural landscapes” took place at the Helmholtz Centre for Environmental Research (UFZ) in Leipzig.
Discussing the future of Agricuture and Biodiversity with stakeholds.
The Agroecological Modelling (AEcoMod) lab hosted their partners in the EU Horizon 2020 project EarthBridge, together with a selected group of early-career scientists from the Universities of Bonn, Dresden, Bologna, and Prague. The goal of this gathering was to empower the selected participants with advanced collaborative research skills in a multi-institutional and multidisciplinary context.
Contact
Group leader
Anna Cord
Team assistant
Annette Feder
+49 0228 / 73 60832
Postal address
PhenoRob Cluster Office
Rheinische Friedrich-Wilhelms-Universität Bonn
Niebuhrstraße 1a
53113 Bonn
Germany