Erwin Schmid

Integrated modelling of measures to control the Western Corn Rootworm in Austria

The Western Corn Rootworm (WCR) has become a major pest to maize in Austria in recent years. We model damage potentials of maize yield losses and crop management options for WCR control in Austria. The crop management options include maize restrictions in crop rotations as well as insecticide applications. Our integrated modelling framework sequentially links a crop rotation model, a bio-physical process model and a bottom-up land use optimization model and represents Austrian cropland at 1 km resolution. We identify several hot spots for high WCR damage potentials, which are related to regional maize yield levels and maize shares in crop rotations. The results show that the reduction of maize in crop rotations is more beneficial than insecticide applications in many agricultural production areas.

pan-EU EPIC crop calendar and fertilization data

These EU-EPIC datasets contain sowing dates and potential heat units (EUEPIC_CALENDAR.csv) and N and P fertilizer application rates (EUEPIC_FERTILIZATION.csv) for major European crops.

ISIMIP2a Simulation Data from Agricultural Sector

The Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) provides a framework for the collation of a set of consistent, multi-sector, multi-scale climate-impact simulations, based on scientifically and politically-relevant historical and future scenarios. This framework serves as a basis for robust projections of climate impacts, as well as facilitating model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming. It also provides a unique opportunity to consider interactions between climate change impacts across sectors.n nISIMIP2a is the second ISIMIP simulation round, focusing on historical simulations (1971-2010) of climate impacts on agriculture, fisheries, permafrost, biomes, regional and global water and forests. This will serve as a basis for model evaluation and improvement, allowing for improved estimates of the biophysical and socio-economic impacts of climate change at different levels of global warming.n nThe focus topic for ISIMIP2a is model evaluation and validation, in particular with respect to the representation of impacts of extreme weather events and climate variability. During this phase, four common global observational climate data sets were provided across all impact models and sectors. In addition, appropriate observational data sets of impacts for each sector were collected, against which the models can be benchmarked. Access to the input data for the impact models is provided through a central ISIMIP archive (see https://www.isimip.org/gettingstarted/#input-data-bias-correction).n nThis entry refers to the ISIMIP2a simulation data from Agricultural Sector models: CGMS-WOFOST, CLM-Crop, EPIC-Boku, EPIC-IIASA, EPIC-TAMU, GEPIC, LPJ-GUESS, LPJmL, ORCHIDEE-CROP, pAPSIM, pDSSAT, PEGASUS, PEPIC, PRYSBI2.

The Value of Global Earth Observations

Humankind has never been so populous, technically equipped, and economically and culturally integrated as it is today. In the twenty-first century, societies are confronted with a multitude of challenges in their efforts to manage the Earth system.