1. How To Delete or adjust slides to your needs Texts are in “Trebuchet MS” Suggestions for improvements are welcome

3. FACCE-JPI Joint Programming Initiative —ERAnet Coordination and Support Action fundingfor JPI governingboard, scretariat, scientificadvisoryboard, JPI meetings Food Security Climate Change Agri- culture adaptation mitigation FACCE JPI Operating within GHG, energy & contaminants limits Responding to a globally increasedfooddemand Assessing and raisingbiological resource use efficiency Building resilience in agricultural systems

4. FACCE-JPI structure Governing Board (21 countries) Scientific Advisory Board (12 members) FACCE JPI Secretariat supports GB & SAB elects Scientific Research Agenda Stakeholder Advisory Board Stakeholder Consultation Implementation Core Research Themes 1.Integrated assessment of food security 2.Sustainable intensification 3.Tradeoffs with ecosystem services 4.Adaptation to climate change 5.GHG mitigation Knowledge Hubs

5. FACCE-JPI core themes 1.Integrated assessment of food security 2.Sustainable intensification 3.Tradeoffs with ecosystem services 4.Adaptation to climate change 5.GHG mitigation FACCE-JPI Knowledge Hub

6. FACCE Knowledge Hubs An instrument building on the concept of “Networks of excellence” Brings together research groups that already have funding in an thematic area The support given can be coordination costs, travel expenses and thematic workshops. Countries may choose to support research and/or mobility.

7. FACCE MACSUR expectations Detailed climate change risk assessment for European agriculture: how will climate variability and change affect regional farming systems in near and far future? What are the risks and the opportunities for European agriculture and food security? An ensemble of crop and livestock models will be benchmarked, inter-compared and coupled to both climatic and economic models in collaboration with the international project AgMIP. MACSUR — Modelling European AgriculturewithClimate Change for Food Security

8. FACCE MACSUR 16 countries Austria Belgium Czech Rep. Denmark Estonia Finland France Germany Israel Italy The Netherlands Norway Poland Romania Spain Sweden UK © EuroGeographics for the administrative boundaries

9. FACCE MACSUR Project started 1 June, 2012; runs 3 yrs individual partners start June–August 2012 Kickoff-Workshop —15/16 October 2012, Berlin

10. FACCE MACSUR Coordination & Cross-cutting (Hub) —Martin Banse (vTI), Richard Tiffin (U Reading) Crop modelling (CropM) —Frank Ewert (U Bonn), Raimund Rötter (MTT) Socio-economic modelling (TradeM) —Floor Brouwer (U Wageningen), Franz Sinabell (WIFO) Livestock modelling (LiveM) —Michael Abberton (Aberystwyth U), JAC Me ij s (U Wageningen)

11. FACCE MACSUR structure Coordination of Knowledge Hub CropM TradeM LiveM Capacity building Methodological case studies Regional pilot studies Cross-cutting activities Science excellence Network activity

12. FACCE MACSUR structure Coordination of Knowledge Hub CropM TradeM LiveM Capacity building Methodological case studies Regional pilot studies Cross-cutting activities Science excellence Network activity

13. FACCE MACSUR structure Coordination of Knowledge Hub CropM LiveM Capacity building Methodological case studies Regional pilot studies Cross-cutting activities Science excellence Network activity TradeM

14. FACCE MACSUR structure Coordination of Knowledge Hub CropM Capacity building Methodological case studies Regional pilot studies Cross-cutting activities Science excellence Network activity TradeM LiveM

15. MACSUR–CropM WP1Model intercomparison (develop protocols; extend sites, crops) Christian Kersebaum (DE) Marco Bindi (IT) WP2Model improvements through generating and compiling data JørgenOlesen (DK) MirekTrnka (CZ) WP3Scaling methods and model linking Frank Ewert (DE),Sander Janssen (NL),Martin van Ittersum (NL) WP4Scenario development and impact uncertainty analysis Reimund Rötter (FI), Daniel Wallach (FR), M Semenov (UK), Mike Rivington (UK) WP5Capacity buildingJohn R Porter (DK) WP6Case studies on impact assessment (cross cutting theme) Jan Verhagen (NL) Derek Stewart (UK)

16. MACSUR–TradeM WP1Existing tools, data, and modelsWaldemar Bojar (PL) WP2Improved tools, data, and modelsØyvindHoveid (NO) WP3Cross-cutting issues in regional pilot studies Gabriele Dono (IT) WP4Capacity buildingKatharina Helming (DE)

17. MACSUR–LiveM WP1Building and exploring datasets and climate models on climate change in relation to livestock and grassland Jacqui Matthews (UK) WP2Modelintercomparisonon climatechange in relation to livestock and grassland Gianni Bellocchi (FR) WP3Improvingtheassessment of climatechangeimpact on livestock and grassland at farmlevel Nicholas Hutchings (UK) WP4Contribution to cross- cuttingactivitieswithintegratedst udies at regional level Tommy Dalgaard (DK)

18. MACSUR–Hub WP1Facilitation of regional pilot studies Richard Tiffin (UK) WP2Capacity building across models and themes Martin Banse (DE) WP3Coordination of research agenda and international collaboration Martin Banse (DE)

19. MACSUR approach 0Scenarios defining boundary conditions for all themes climate change, land use, CAP strategies level of uncertainty acceptable to stakeholders 1Inventory of data sets and models; benchmarking and improvement of models; ensemble model runs 2Advancement across two themes tested on methodological case studies 3Questions of impact answered by regional pilot studies (linked to stakeholders) across three themes CropM TradeM LiveM 1 1 2 1 3 2 2 0

20. MACSUR questions How does European agriculture adapt to climate change and what are its impacts on food security? How does CAP contribute to increasing food security? What are the effects of competing demands of land use on food security?

21. MACSUR emphasis crop rotations integration across themes micro (plot) to macro (market) levels diversity in soil, climate, and systems training of integrative modellers knowledge exchange & international collaboration AgMIP AgTrials FoodSecure AnimalChange MultiSward CCAFS

22. Different scales ~ different models farm-level models, diverse approaches —FAMOS, MODAM, mathematical farm investment models regional and national models —optimization of investment, resource use, or food security international and global models —international trade and policies sector models (farm-EU-global)

23. MACSUR answers 1Each theme advances existing methodology by benchmarking and improvement of models using common data sets and scenarios. 2Advancement across two themes is tested on methodological case studies. 3Advancement across three themes is achieved by regional pilot studies (linked to stakeholders) to answer questions of impact. CropM TradeM LiveM 1 1 2 1 3 2 2

24. Integrated assessment build on good modules of existing models increase number of farm types use stochastic methods to reflect food production and climate bottom-up variability top-down boundary conditions no detailed all-purpose model possible

25. MACSUR int’l cooperation Sharing of scenarios, protocols, and data —AgMIP —AgTrials —FoodSecure —AnimalChange —MultiSward —CCAFS MACSUR emphasizes crop rotations integration across themes micro and macro levels European diversity in soil, climate, and systems. knowledge exchange & collaboration training of integrative modellers