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Vera Porwollik

PhD student

M.Sc. Integrated Natural Resource Management
B.Sc. International Forest Ecosystem Management

Project: MACMIT - Climate mitigation in agricultural production systems through sustainable resource management
Working group: Land use modelling
Research Domain II: Climate Impacts and Vulnerabilities

Potsdam Institute for Climate Impact Research (PIK)
Telegraphenberg 31, A56
14473 Potsdam, Germany

Phone: +49 (0) 331 / 288 20824

Professional expertise:

  • Global agricultural management data for gridded models
  • Bio-economic farm modelling (FSSIM)
  • Agricultural and resource economics
  • Development cooperation
  • Forest ecosystem management

Porwollik, V.; Müller, C.; Elliott, J.; Chryssanthacopoulos, J.; Iizumi, T.; Ray, D.K.; Ruane, A.C.; Arneth, A.; Balkovič, J.; Ciais, P.; Deryng, D.; Folberth, C.; Izaurralde, R.C.; Jones, C.D.; Khabarov, N.; Lawrence, P.J.; Liu, W.; Pugh, T.A.M.; Reddy, A.; Sakurai, G.; Schmid, E.; Wang, X.; de Wit, A.; Wu, X. (2017). Spatial and temporal uncertainty of crop yield aggregations. Eur. J. Agron. 88,10-21, DOI:

Porwollik, V., Rolinski, S., Heinke, J., and Müller, C.: Generating a global gridded tillage dataset, Earth Syst. Sci. Data Discuss., , in review, 2018.

Porwollik, V., Rolinski, S., Müller, C. (2018) A global gridded dataset on tillage. V. 1.0., GFZ Data Services.

Porwollik, V., Rolinski, S., Müller, C. (2018) A global gridded dataset on tillage - R-code. V. 1.0., GFZ Data Services.

"Uncertainty of crop yield aggregations", iCROPM,  Berlin (Germany), March 2016 and AgMIP6 Montpellier (France), June 2016                       

"A data set on tillage practices for global gridded crop modeling", SOM2017, August 2017 Rothamsted (UK)

GGCMI meeting, IIASA Laxenburg (Austria), June 2017                                                                                                                     
"Global data set on tillage practices - Agricultural management data for gridded crop modelling"

Other activities
Member of the PhD-representatives at PIK (May 2016-2017 )

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