Vera Porwollik

Doctoral Researcher
Guest
Porwollik

Global assessment of agricultural land management practices for mitigation of climate change impacts, ecosystem regeneration and increasing resilience of farming systems.

Department

Climate Resilience

Working Group

Land Use and Resilience

Contact

Potsdam Institute for Climate Impact Research (PIK)
vera.porwollik[at]pik-potsdam.de
P.O. Box 60 12 03
14412 Potsdam

ORCID

0000-0001-5866-8538

  • Since 2015 Doctoral Researcher: 'Patterns of agricultural management systems for global change impact assessments', Humboldt-University of Berlin and PIK
  • 2011-2014 Research Analyst for bio-economic farm modeling, Leibniz Center for Agricultural Landscape Analysis (ZALF), Müncheberg
  • 2007-2011 M.Sc. Integrated Natural Resource Management, Humboldt-University of Berlin, Scholarship in 2010 by GIZ for research visit at Worldagroforestry Center for master thesis:'Forests and Livelihoods in the Abujao River watershed, Ucayali', Peru
  • 2007 B.Sc. International Forest Ecosystem Management, University of Applied Siences of Eberswalde

Professional expertise:
  • Land management data for agroecosystem models
  • Global crop and bio-economic farm modeling
  • Agricultural and natural resource economics
  • Forest ecosystem management and conservation

Porwollik, V. et al: The role of cover crops for agricultural yields, cropland carbon, and nitrogen leaching - A global simulation study with LPJmL5.0-tillage-cc, (in prep).

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.; 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.

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

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

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

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

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

Member of the PhD-representatives at PIK, 2016-2017

Modelling regional land use and climate change adaptation strategies in Northern Germany. Zander P., Hecker J.-M., Hufnagel J., Porwollik V. and Svoboda N. , Global Food Security Challenges –European Research approaches, MACSUR TradeM Workshop, Müncheberg, 2013

Food & AgricultureRD2 - Climate ResilienceMitigationLPJmLLand Use