Modeling and Forecasting Climate Change, Biophysical Impacts, and Ecological and Economic Implications: Discussion John Antle Agricultural and Resource.
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Presentation on theme: "Modeling and Forecasting Climate Change, Biophysical Impacts, and Ecological and Economic Implications: Discussion John Antle Agricultural and Resource."— Presentation transcript:
Modeling and Forecasting Climate Change, Biophysical Impacts, and Ecological and Economic Implications: Discussion John Antle Agricultural and Resource Economics Oregon State University tradeoffs.oregonstate.edu GHG Modeling Forum, Sept 26-29 2011
Implications for Risk Assessment & Policy Design Representing spatial and temporal variability to characterize outcomes people care about –climate (not just temp!) spatial and temporal scale –limits of crop models: extremes & thresholds; systems –relevant indicators: vulnerability? average calorie availability vs risk of deficit? environmental indicators? price variability? Adaptation as an investment problem: need to differentiate impact from value of adaptation –limits of statistical and IA approaches
Scope of impacts: –going beyond grains: fruits, veges, livestock, ornamentals… – poverty and food security –environment, ecosystem services Policy interactions (Antle & Capalbo 2010 AEPP) –GHG mitigation –linkages to domestic, trade policy effect on flexibility, e.g. conservation trade implications of mitigation policies –long-term investments: infrastructure –how to “put climate” into policy process?
Broader Concerns Impact Assessment Perspective: are we following principles of good science? –the danger of GIS –experimental design perspective ag-specific future scenarios linked to RCPs and SSPs: Representative Ag Pathways future technology, prices, policy –towards an ensemble approach to quantify uncertainty, improve quality of the science: integrating & improving data: documenting RAPs, model inputs & outputs integrating & intercomparing within and across scales
Prototype Economic Model Framework for Simulation and Intercomparison Farm/Regional Models Scenario # - Climate & RAP Regional crop yields Sub-national or national crop yields National partial and general equilibrium models Input-Output Models Partial and General Equilibrium Model Intercomparison Aggregation of regional results to sub-national or national level Regional – aggregate model intercomparison I-O and General Equil model intercomparison Global partial equil models