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Stephan Alexander Pietsch received academic education in formal logic (BSc), biology (BSc), physiology and ecology of plants (MSc) at the University of Vienna and in biotechnology (PhD) at the University of Natural Resources and Life Sciences Vienna (BOKU), which provided the basis for his work in the interdisciplinary field of ecosystem modeling.
He started this line of research in January 2000 at BOKU's Institute of Forest Growth Research, from where he switched to a faculty position at the Institute of Silviculture in December 2007. While at the beginning all his research activities were concentrated on Europe, he later developed his interest in tropical ecosystems. In this context, he organized and conducted extended field work in tropical Africa to establish the data sets needed for modeling tropical ecosystems under different degrees of disturbance and/or degradation.
After being granted the authorization to teach (venia docendi) in Ecosystem Modelling, Dr. Pietsch joined IIASA's Ecosystems Services and Management (ESM) Program in June 2014, to reinforce the modeling of tropical forests and savannahs within IIASA’s G4M and GLOBIOM models developed under ESM's ERD group.
Last update: 24-JUN-2014
Bustier B, Ngoy A, Pietsch S, & Mosnier A (2017). Implications of changes in tropical shifting cultivation intensification on land productivity and GHG-related biogeochemistry. In: European Geosciences Union (EGU) General Assembly 2017, 23–28 April 2017, Vienna, Austria.
Franklin O, Han W, Dieckmann U, Cramer W, Brännström A, Pietsch S, Rovenskaya E, & Prentice IC (2017). Using natural selection and optimization for smarter vegetation models - challenges and opportunities. In: European Geosciences Union (EGU) General Assembly 2017, 23–28 April 2017, Vienna, Austria.
Pietsch S (2017). Adressing optimality principles in DGVMs: Dynamics of Carbon allocation changes. In: European Geosciences Union (EGU) General Assembly 2017, 23–28 April 2017, Vienna, Austria.
Pietsch S (2017). Assessing tropical rainforest growth traits: Data – Model fusion in the Congo basin and beyond. In: European Geosciences Union (EGU) General Assembly 2017, 23–28 April 2017, Vienna, Austria.
Mosnier A, Tonga P, Mant R, Pirker J, Pietsch S, Bocqueho G, Bodin B, Gillet P, et al. (2017). CoForTips Congo basin forests: tipping points for biodiversity conservation and resilience. Final Report (La modélisation des changements d’utilisation des terres dans les pays d’Afrique Centrale 2000-2030). IIASA Contract No. 13-102
Gourlet-Fleury S, Gazull L, Bigombe Logo P, Billand A, Bolaluembe P-C, Boyemba F, Dessard H, Doucet J-L, et al. (2017). Are logging concessions a threat to the peatlands in DRC? (Les concessions d'exploitation forestière menacent-elles les tourbières en République démocratique du Congo?). Bois et Forets des Tropiques 334 (4): 3-6.
Lee J, Lee S, Han SH, Kim S, Roh Y, Salim KA, Pietsch SA, & Son Y (2017). Estimating Carbon Dynamics in an Intact Lowland Mixed Dipterocarp Forest Using a Forest Carbon Model. Forests 8 (4): p. 114. DOI:10.3390/f8040114.
Pietsch S & Bednar JE (2015). Ergodic to Non-ergodic Behavior Transitions and Hysteresis in Ecosystem Models. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Pietsch S, Bednar JE, Mosnier A, & Obersteiner M (2015). Probabilistic Spatial and Temporal Resilience Landscapes for the Congo Basin. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Wehkamp J, Pietsch S, Kraxner F, Reuter W, Fuß S, Gusti M, & Koch N (2015). Taking Differences in Institutional Quality into Account in Global Forest Modelling. In: Systems Analysis 2015 - A Conference in Celebration of Howard Raiffa, 11 -13 November, 2015, Laxenburg, Austria.
Kraxner F, Fuss S, Leduc S, Yowargana P, Kindermann G, Pietsch S, & Hetland J (2015). Driving clean energy and green economy with the help of forest-based bioenergy with CCS (BECCS) - A case study on Indonesia. In: XIV World Forestry Congress, 7-11 September 2015, Durban, South Africa.
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