Georg Kindermann profile picture

Georg Kindermann

Research Scholar

Agriculture, Forestry, and Ecosystem Services Research Group

Biodiversity and Natural Resources Program


Georg Kindermann joined the International Institute for Applied Systems Analysis (IIASA) in 2005 as a Research Scholar in the Forestry Program, now the Ecosystems Services and Management (ESM) Program. He holds a PhD in forestry, with particular focus on forest growth and yield modeling. He has experience in forest measurement and sample plot design, data storage (SQL), statistics (R), programming (C++, Perl) and gis (QGis, Grass). He has developed a model estimating forest growth for any point on the globe (global forest growth model - g4gm) which allows simulation of the amount of biomass for bioenergy and stored carbon in forests which are reacting on changes in the environment (temperature, precipitation, C02) and management (rotation time, thinning). In combination with economic estimates such as the wood price, it is possible to calculate the competition over land between different land uses, and to find regions which have high pressure on deforestation.

Currently, Dr. Kindermann is also employed at the Federal Research and Training Centre for Forests, Natural Hazards and Landscape (BFW), where he is working on tree ring width analysis. There, he is developing a regional single tree forest growth simulator.

Previously, Dr. Kindermann worked at the University of Natural Resources and Applied Life Sciences (BOKU) in the Institute of Forest Growth and Yield Research in Vienna. He refined a distance dependent single tree growth simulator (Moses) to use it as a decision support in a company. He has also investigated in the field of natural regeneration.

Last update: 04 MAR 2015


Gvein, M.H., Hu, X., Næss, J.S., Watanabe, M.D.B., Cavalett, O., Malbranque, M., Kindermann, G. , & Cherubini, F. (2023). Potential of land-based climate change mitigation strategies on abandoned cropland. Communications Earth & Environment 4 (1) e39. 10.1038/s43247-023-00696-7.

Willcock, S., Hooftman, D., Neugarten, R., Chaplin-Kramer, R., Barredo, J., Hickler, T., Kindermann, G. , Lewis, A., Lindeskog, M., Martínez-López, J., & Bullock, J. (2023). Model ensembles of ecosystem services fill global certainty and capacity gaps. Science Advances 9 (14) 10.1126/sciadv.adf5492.

Hooftman, D.A.P., Bullock, J.M., Jones, L., Eigenbrod, F., Barredo, J.I., Forrest, M., Kindermann, G. , Thomas, A., & Willcock, S. (2022). Reducing uncertainty in ecosystem service modelling through weighted ensembles. Ecosystem Services 53 e101398. 10.1016/j.ecoser.2021.101398.

Patrizio, P., Leduc, S., Kraxner, F., Fuß, S., Kindermann, G. , Spokas, K., Wetterlund, E., Lundgren, J., Yowargana, P., & Obersteiner, M. (2019). Killing two birds with one stone: a negative emissions strategy for a soft landing of the US coal sector. In: Bioenergy with Carbon Capture and Storage. Eds. Pires, J.C. & da Cunha Goncalves, A.L., pp. 219-236 Academic Press. ISBN 9780128166000 10.1016/B978-0-12-816229-3.00011-9.