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Anita Bayer

Dr. Anita Bayer

group: Plant-Atmosphere Interactions
room: 191
phone: +49 8821 183 121
fax: +49 8821 735 73
anita bayerSPAM∂kit edu

Research Interests

  • Modeling biogeochemical cycles of terrestrial ecosystems under changing environmental conditions, including land use change
  • Quantification of changes and trade-offs in Ecosystem Services. How can global models help us in providing ES-related information that supports decision making leading to a sustainable land management?




since 2/2013 Postdoctoral researcher within group Plant Atmosphere Interactions at Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research - Atmospheric Environmental Research, Garmisch-Partenkirchen, Germany
02/2009-01/2013 Ph.D. student within Imaging Spectroscopy work group at German Remote Sensing Data Center, German Aerospace Center (DLR), Oberpfaffenhofen, Germany


2/2013 Dr. rer. nat. in Remote Sensing, Institute of Earth and Environmental Sciences, University of Potsdam, Germany
Title of Ph.D. Thesis: "Methodological developments for mapping soil constituents using imaging spectroscopy"
11/2008 Diploma in Technical Geosciences, University of Stuttgart, Germany

Peer-reviewed publications

Bayer, A.D., Pugh, T.A.M., Krause, A., Arneth, A. (2015). Historical and future quantification of terrestrial carbon sequestration from a Greenhouse-Gas-Value perspective. Global Environmental Change 32, 153-164. doi:10.1016/j.gloenvcha.2015.03.004, see here
Bayer, A.D., Bachmann, A., Müller, A., Kaufmann, H. (2012). A Comparison of Feature-Based MLR and PLS Regression Techniques for the Prediction of Three Soil Constituents in a Degraded South African Ecosystem. Applied and Environmental Soil Science, Volume 2012, Article ID 971252, doi:10.1155/2012/971252, see here

Reports & monographs

Bayer, A. (2013). Methodological Developments for Mapping Soil Constituents using Imaging Spectroscopy. PhD Thesis, Universität Potsdam, Germany, see here
Lavorel, S., Arneth, A., Bayer, A., Bondeau, A., Lautenbach, S., Marba, N., Ruiz, A., Schulp, N., Seppelt, R., van Teeffelen, A., Vannier, C., Verburg, P. (2014). Transferable geo-referenced metrics and GIS based quantification functions - Pathways to the incorporation of biodiversity into ecosystem service biophysical assessment. Report of the OPERAs project, see here