Phd student Vera Porwollik

Publications

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. Spatial and temporal uncertainty of crop yield aggregations. European Journal of Agronomy. 88,10-21, http://dx.doi.org/10.1016/j.eja.2016.08.006. 2017.

Porwollik, V.; Rolinski, S.; Heinke, J.; Müller, C. Generating a rule-based global gridded tillage dataset, Earth System Science Data, 11, 823-843, https://doi.org/10.5194/essd-11-823-2019, 2019.

Porwollik, V.; Rolinski, S.; Müller, C. A global gridded data set on tillage – R-code (V.1.1), GFZ Data Services, https://doi.org/10.5880/PIK.2019.010, 2019.

Porwollik, V.; Rolinski, S.; Müller, C. A global gridded data set on tillage (V.1.1), GFZ Data Services, https://doi.org/10.5880/PIK.2019.009, 2019.

Porwollik, V. et al: The role of cover crops for agricultural yields, cropland carbon, and nitrogen leaching - A global simulation study with LPJmL, (in prep).

Project: MACMIT - Climate mitigation in agricultural production systems through sustainable resource management

"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, Rothamsted (UK), August 2017

GGCMI meeting, presentation of first results: "Global data set on tillage practices - Agricultural management data for gridded crop modelling";  IIASA (Austria), June 2017

Meeting on tillage area data application opportunities in assessments of cropland management impacts in context of erosion and degradation using crop models: LPJmL, EPIC-IIASA, and ORCHIDEE-crop; PIK (Germany), October 2017

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