Stefan Siebert

  • Profile

    Crop management is a major determinant of crop yields and crop productivity. The interaction of different management factors among themselves and with physical suitability factors like climate and soil or socioeconomic conditions is challenging and poorly understood so far. My research is focused on the analysis of large scale data sets and the development of large-scale model components to assess the interaction between resource use, crop management and crop productivity. This includes the generation and improvement of data sets required as models inputs. Other interests are crop modeling in general (phenology, drought and heat stress, crop yields), modeling of virtual water flows and the alteration of ecosystems by anthropogenic impacts.

    Research projects (ongoing)

    2012- Geospatial Open Source Hosting of Agriculture, Resource & Environmental Data (GEOSHARE)

    Multiscale modeling of extreme events (DFG Paketantrag,

    Assessment of EUROpean AGRIculture WATer use and trade under climate change (EURO-AGRIWAT), COST-action ES1106, member of the Management Committee
    1999- Development, update, and maintenance of the Digital Global Map of Irrigation Areas