1. Building capacity to assess the impact of climate change/variability and develop adaptive responses for the mixed crop/livestock production systems in the Argentinean and Uruguayan Pampas Principal Scientists Agustin Gimenez, GRAS- INIA, Uruguay Walter E. Baethgen, IFDC, Uruguay Ricardo Romero, GRAS-INIA, Uruguay Graciela Magrin, INTA, Argentina María I. Travasso, INTA, Argentina Osvaldo Canziani, Argentina Holger Meinke, APSRU, DPI, Australia Junior Scientists José P. Castaño, GRAS-INIA, Uruguay Laura Olivera, GRAS-INIA, Uruguay Gabriel Rodríguez, INTA, Argentina

2. Mixed systems in the Pampas

3. Objective To further develop capacity and to establish, use and maintain an agricultural systems network in the Pampas to assess the impact of climate change/variability and develop adaptive responses for the mixed grain/livestock production systems.

4. Project Premise prepared and adapt to possible climate change scenarios better cope with current climate variability One of the most effective manners for assisting agricultural stakeholders to be prepared and adapt to possible climate change scenarios, is by helping them to better cope with current climate variability

5. What paper will we publish? Vulnerability and Adaptation assessment of crop/livestock production systems in the Argentinean and Uruguayan Pampas.

6. Integrate crop/pasture simulation models and climate change scenarios in a system able to assist planning and decision-making at the farm level Activities HOW? APSIM (Agricultural Production Systems Simulator) Calibrated and validated

7. All results of CGMs Run MaxAvgMin Range: Min - Max Incremental approach to generate daily data for APSIM Climate Change Scenarios GCMs: Obtain major shifts (months, variables) Define ranges (including incremental)

8. Assess the impacts of climate change /climate variability on farmer’s income Current and Future Climate Ag. Sys. Mgm. Distribution of Prices (historical data) APSIM Gross Margin Distribution (main index)

9. Study the vulnerability of different types of mixed production systems Changes due to CC Scenarios of: Frequency of negative Gross Margin Variability of Gross Margins

10. Define whole-farm adaptive measurements better adjusted to cope with current climate variability APSIM allows evaluation of farming practices and crop mixes which lead to increased system resiliency

11. What will we incorporate from the workshop? Risk and Vulnerability Mapping Integration of GIS and Remote Sensing with the current project tools

12. Other options will be discussed with all project team members