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Explore economic and biophysical models assessing GHG mitigation in forestry and agriculture, comparing sectoral and global approaches with incentives.
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Common Reference Scenarios:A Synthesis of National-level Economic and Biophysical Model Results Presented at Forestry and Agriculture Greenhouse Gas Modeling Forum Workshop Shepherdstown, WVOctober 1, 2001 Presented by Brian C. Murray P.O. Box 12194 · 3040 Cornwallis Road · Research Triangle Park, NC 27709Phone: 919-541-6468 · Fax: 919-541-6683 · bcm@rti.org · www.rti.org
Objectives • Obtain national-level estimates of GHG mitigation in Forest and Agriculture sectors • Baseline/Business-as-Usual (BAU) • With Incentives • Demonstrate commonalities and differences across model types • Biophysical v Economic • Economic • Sectoral vs Multi-sector • Static v Dynamic • National vs Global
Scenario Features • Prices: $ 0, $3-27 per ton, CO2 • Activities: Forestry, Agriculture, Land Use Change (level of detail at discretion of modelers) • Time Horizon: 2000-2100 • Output • GHGs: CO2, N2O, CH4 (all in CO2 equiv) • Land Use Change • Commodity Market Effects • Welfare Costs
FORCARB MM tons/year CO2
BAU Comparison for Cropland Carbon: Biophysical v Economic Models
Observation Expanding the Scope of CO2 related activities covered has a greater impact on Ag sector mitigation than expanding non-C02 GHGs covered
Observation (2) Modeling Forestry-Ag feedback is critical, especially in estimates of Land Use Change • Overestimate afforestation if we ignore rent-enhancing Ag management responses to CO2 prices • Underestimate afforestation if we ignore rent-enhancing forest management responses to CO2 prices (especially at low prices)
Observation (3) More temporal dynamics are needed • Forestry - absolutely essential • Saturation and Permanence issues in both sectors • Ability to assess policies aimed at specific future time periods (re: 2008-2012)
Breakout Group Activities • Meet when opportunities arise • Use Questions/Issues raised in handout as a guide to discussions • Right theme ? • Assess current models/results • Future modeling directions • Study group topics • Report back to the Plenary on Day 3