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Forestry and Agriculture Greenhouse Gas Modeling Forum September 28, 2011

Modeling and Forecasting Climate Change, Biophysical Impacts, and Ecological and Economic Adaptations. Forestry and Agriculture Greenhouse Gas Modeling Forum September 28, 2011. Session questions. Climate Change (CC) Biophysical Impacts and Ecological Adaptations

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Forestry and Agriculture Greenhouse Gas Modeling Forum September 28, 2011

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  1. Modeling and Forecasting Climate Change, Biophysical Impacts, and Ecological and Economic Adaptations Forestry and Agriculture Greenhouse Gas Modeling Forum September 28, 2011

  2. Sessionquestions • Climate Change (CC) • Biophysical Impacts and Ecological Adaptations • Economic Impacts and Adaptations • What is the state of the art: findings? • Relationships between CC measures and biophysical impacts (threshold effects; interactions among temp, precip, ozone, CO2 fertilization) • Current (observed) and future (forecast) impacts and adaptations (role of water availability, pest dynamics; economic adjustments in shifting product mix, trade) • Uncertainties: How think about them (measures, sources)? How big are they? • What is state of art: modeling & forecasting? • Do models capture critical relationships? • Do they provide right types of information and at spatial and temporal scale needed to link across models?

  3. Where are we? where do we go from here? • What are the implications of uncertain impacts and adaptation forecasts for policy makers and risk managers? • What implications follow for model, data improvements that will make the greatest difference in managing risks, promoting adaptation, and designing supporting policies? • Forecasting: how construct future scenarios? • Uncertainty challenges: separating underlying variability vs. noise? cascading uncertainties across climate/biophysical/economic models? • Targeting improvements to reduce uncertainties: what are the highest priorities to improve decision-making? • in models? data to populate models? information passed from one type model to the next (What measures? What temporal & spatial resolution/aggregation? How incorporate variability: beyond means?) • How think about and communicate uncertainties to better inform policy makers and risk managers?

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