Economic analysis of sequestering carbon in green ash forests in the Lower Mississippi River Valley

ScientificWorldJournal. 2003 Aug 19:3:731-40. doi: 10.1100/tsw.2003.61.

Abstract

Since the U.S. is the largest emitter of carbon dioxide (CO2), it has become crucial to develop options that are both cost effective and supportive of sustainable development to reduce atmospheric CO2. Electric utility companies have the options of reducing their use of fossil fuels, switching to alternative energy sources, increasing efficiency, or offsetting carbon emissions. This study determined the cost and profitability of sequestering carbon in green ash plantations, and the number of tons of carbon that can be sequestered. The profitability of green ash is 2,342 dollars and 3,645 dollars per acre on site indices (measurement of soil quality) 65 and 105 land, respectively, calculated with a 2.5% alternative rate of return (ARR). These figures shift to -248 dollars and -240 dollars calculated with a 15.0% ARR. If landowners who have an ARR of 2.5% can sell carbon credits for 10 dollars per ton of carbon, profits will increase by 107 dollars per acre on poor sites and 242 dollars on good sites. Over one rotation (cutting cycle), 38.56 net tons of carbon can be sequestered on an acre of poor quality land and 51.35 tons on good quality land. The cost of sequestering carbon, without including revenues from timber production and carbon credits, ranges from a high of 15.20 dollars per ton on poor sites to 14.41 dollars on good sites, calculated with a 2.5% ARR; to a high of 8.51 dollars per ton on poor sites to 7.63 dollars on good sites, calculated with a 15.0% ARR. The cost of storing carbon can be reduced significantly if the trees can be sold for wood products.

Publication types

  • Congress

MeSH terms

  • Carbon / metabolism*
  • Carbon Dioxide / metabolism
  • Cost-Benefit Analysis / methods
  • Forestry / economics
  • Forestry / methods
  • Greenhouse Effect
  • Industry / economics*
  • Industry / methods*
  • Mississippi
  • Trees / metabolism*
  • Wood

Substances

  • Carbon Dioxide
  • Carbon