1 / 35

Implementing Corn Belt Soil Carbon Projects

Implementing Corn Belt Soil Carbon Projects. By: Gordon Smith, Environmental Resources Trust Forestry and Agriculture Modeling Forum Workshop 3: Modeling to Support Policy Shepardstown, WV, October 12-15, 2004. Presentation Outline.

mwinifred
Download Presentation

Implementing Corn Belt Soil Carbon Projects

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Implementing Corn BeltSoil Carbon Projects By: Gordon Smith, Environmental Resources Trust Forestry and Agriculture Modeling Forum Workshop 3: Modeling to Support Policy Shepardstown, WV, October 12-15, 2004

  2. Presentation Outline • Assigned scenario: Implementation and effects of program design choices • Project experience • Pacific Northwest Direct Seed Association-Entergy • Existing Iowa soil carbon deals • Needed modeling • Selection bias and when we don’t need to know about uncertainty

  3. Assigned Scenario • Corn belt soil carbon sequestration • 5 million tons C annual sink in 2015 • Assume: soil carbon sequestration by switching from plowing to no-till

  4. Assumed Program Design • Aggregator contracts with farmers to use no-till for a specified period • Aggregator promises to deliver tons by a schedule • Sequestration is measured • Farmers demand payment up-front

  5. How Big is this Program? • Assume sink 0.5 Mg C/ha/yr • 10 million ha (25 million acres) • Over 40,000 farms • assuming 600 ac/farm

  6. Baseline - Conceptual Approach • Principle: Set baseline by looking at behavior of others not in program • What is happening to soil C? • Gained 0.25 Mg/ha/yr, 1970-1990 (Donigian et al. 1994) • What practices are used? • 42.5% of acres in Midwest in conservation tillage in 2002 (CTIC)

  7. Baseline - In Practice • Principle: Set baseline by looking at behavior of others not in program • 1/4 to 1/2 of tons added to soil probably will not be beyond baseline • If proportional additionality, could double program size to 20 million ha (50 million ac) & 80,000 farms

  8. Baseline - Alternative Concepts • Baseline is stock present on farm at enrollment in program • Would not increase program size • Current no-tillers would sequester little • Barriers approaches: Assess situation and motivation of individual farmers • Expensive • Not objectively verifiable

  9. Measurement and Monitoring • Track locations of program lands • Confirm use of conservation practices • Annual farmer attestation (postcard) • Conservation District (windshield inspection) • Audit (sample field measurements) • Remote sensing? (not yet workable) • Quantify change in soil C stock • Program and baseline lands • Field sampling • Escrow $ for all monitoring

  10. Verification Costs - Land Location • Track locations of program lands • Cheap to reference insurance or federal subsidy program records • Somewhat expensive to have farmer draw on ortho photo and digitize • Very expensive to GPS field boundaries • Future: download parcel boundaries from county assessor GIS • Would have to adjust to net field area

  11. Verification Costs - Practices • Confirm use of conservation practices • Annual farmer attestation (postcard) • Conservation District (windshield inspection) • Audit (sample field measurements) • Remote sensing? (not yet workable) • Cost should be small

  12. Verification Cost - C Stock Change • Sample program and baseline lands • Stratify by expected C stock change • Crop productivity/crop C input • Soil disturbance • Design must allow adding & deleting fields • Sampling & analysis cost of $100K for 5 million tons is $0.02 /ton

  13. Uncertainty • Posit: Have 90% confidence that at least the claimed amount of offset has occurred • Could use mean estimate if no chance for adverse selection • Energy sector uses mean estimates • No performance uncertainty when measuring outcomes

  14. Required Measurement Precision Acceptable Error

  15. Reversibility • All terrestrial and geologic stores can be released, including coal beds • Rental viable if offset price is constant or declining

  16. Payments for Reversible Offsets • Example, assuming: • Constant value of permanent offset • Annual interest rate = 6% • Constant sequestration of 0.75 MgCO2/ac/yr • One time, up-front rental payment for all sequestration and storage for life of project • No discount for uncertainty, performance risk, leakage, or non-additionality

  17. Rental Payment Calculation Where: PR= price of rental PP= price of permanent offset r = annual discount rate t = number of years of rental

  18. Example Payments per Acre

  19. Payment for 600 ac. Farm

  20. C Payment Relative to Land Value • At $10/ton CO2, undiscounted GHG payments can approach 10% of land value • Corn belt: 10 Mg C/ha = 15 Mg CO2/ac = $150/ac • Dry land: 2 Mg C/ha = 3 Mg CO2/ac = $30/ac • Will farmers choose permanent limit for this price? • Can soil C equalibrium level be raised, increasing C gain and revenue?

  21. Fuel Emission Reductions • Assume 2 gallon/ac/yr reduction • Offset is permanent; no discounts • At $10/ton CO2 payment is $0.20/ac/yr • Present value of infinite stream: $3.33/ac at 6% discount rate • $2,000 payment for 600 ac farm

  22. Leakage • Principle: If reduce production of a market good, must estimate displacement of production • Use price elasticities of supply and demand (Murray et al. 2004) • Large proportion leakage for commodities • Elsewhere may have lower emissions per unit of production

  23. Transaction Costs • Sources of transaction Cost • Contracting with farmers • Contracting with buyer • Calculating farmer payments • Distributing payments • Quantifying sequestration • Providing for sequestration shortfall • $100/farm likely to be 5-10% of revenue

  24. Contracting Issues • Easements on land substantially reduce its value • Landlords must sign any C contract lasting longer than the rental contract with the farm operator • 44% US cropland rented (NASS) • Rental may have to be swap for buyer to retire offsets

  25. Aggregators • Aggregators required to: • Gather acres to spread measurement cost • Spread risk • Different contracts with farmer & buyer • Contract with farmer for practices • Contract with buyer for tons • Must have relationship with farmers to limit transaction costs

  26. Pacific Northwest Direct Seed Association - Entergy • Contract established 2002 • Generate offsets by direct seeding • Two products: • 10 year lease of soil carbon sequestration • Permanent trade of fuel use reductions • 30,000 tons traded • $75,000 payment • Implies $10.66 price of permanent offset

  27. Pacific Northwest Direct Seed Association - Entergy • Assumed greenhouse benefit • 0.15 ton C/ac/yr = 0.55 ton CO2/ac/yr • 4 gallon/ac/yr fuel reduction • Benchmark greenhouse benefit • 0.10 ton C/ac/yr = 0.37 ton CO2/ac/yr • 2 gallon/ac/yr fuel reduction • Planned measurement/monitoring not yet done • Contract not assign responsibility or budget

  28. Pacific Northwest Direct Seed Association - Entergy • PNDSA limited enrollment to 100 ac/farm • Limits risk to farmers • Transaction cost becomes large part of total revenue

  29. Iowa Soil Carbon Deals • GEMCo – IGF Insurance (1999) • No soil offsets delivered • Hog waste offsets delivered • Arizona Public Service – Sherwood Forestry (1999) • Options trade • Chicago Climate Exchange – Iowa Farm Bureau (2003-2006)

  30. Needed Research:Confidence Intervals • Want certainty that getting claimed tons • Can accept large confidence intervals if multiple projects with unbiased estimates

  31. Mean Estimatesvs. Confidence Intervals • Mean estimate OK when no chance of selection bias (e.g. national inventories) • Selection bias likely to exist with voluntary project enrollment • Project participation limits other options • Enroll lands with least earning potential • Correlates to lower productivity • Correlates to lower sequestration

  32. Proposed “Discount” byQuantification Method

  33. Needed Modeling:Emissions Per Unit Harvest • Calculate volume of product displaced using elasticities of supply and demand • Example: displacement of timber harvest from PNW to SE US: SE has much lower emission/acre harvested but several times area is harvested; net small gain • Estimate “slippage” in afforestation • Estimate emissions per acre

  34. Needed Modeling:Forest Sequestration Projection • COMET for forestry • Forest Service has been improving look up tables • Forest Service FVS model • Make user interface simpler • Improve less intensive harvest regimes • Test reliability for older forests

  35. END

More Related