Abstract
Current standard methods result in significant discrepancies in carbon offset accounting compared to approaches based on representative community based subsamples, which provide more realistic assessments at reasonable cost. Perhaps more critically, neither of the currently approved methods incorporates uncertainties inherent in estimates of emission factors or non-renewable fuel usage (fNRB). Since emission factors and fNRB contribute 25% and 47%, respectively, to the overall uncertainty in offset estimates for Purépecha communities in Mexico, exclusion of this uncertainty is a critical omission. When the recommended uncertainty for default emission factors and the uncertainty associated with regional estimates of fNRB are included the lower 95% confidence intervals of both Clean Development Mechanism and Gold Standard methods exceed the total amount of carbon saved, which would result in zero marketable carbon savings if approaches recommended by the IPCC Good Practice Guidance and Uncertainty Management in National Greenhouse Gas Inventories, or Land use, Land-Use Change and Forestry (LULUCF) are to be followed. In contrast, for the same communities, methods using representative subsamples of emission factors and fuel consumption, combined with community-level fNRB estimates, result in significant carbon offsets with a lower 95% confidence interval of 2.3 tCO2e home − 1 year − 1. Given the misleading estimates, revision of the currently approved methodologies to provide robust estimates of carbon offsets is strongly recommended.
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References
Berrueta VM, Edwards RD, Masera OR (2008) Energy performance of wood-burning cookstoves in Michoacan, Mexico. Renew Energy 33:859–870
Bhattacharya SC, Albina DO, Khaing AM (2002a) Effects of selected parameters on performance and emission of biomass-fired cookstoves. Biomass Bioenergy 23:387–395
Bhattacharya SC, Albina DO, Salam PA (2002b) Emission factors of wood and charcoal-fired cookstoves. Biomass Bioenergy 23:453–469
Climate Care (2008) Methodology for improved cook-stoves and kitchen regimes. Gold Standard, London
Corre G (2007) Buyer beware of offsets that miss the mark. The Financial Times, London
Ghilardi A, Guerrero G, Masera O (2009) A GIS-based methodology for highlighting fuelwood supply/demand imbalances at the local level: a case study for Central Mexico. Biomass Bioenergy 33:957–972
Gomez DR, Watterson JD (2006) 2006 IPCC guidelines for national greenhouse gas inventories. Institute for Global Environmental Strategies, Kamiyamaguchi Hayama, Japan
Harvey F, Fidler S (2007) Industry caught in carbon ‘smokescreen’. The Financial Times, London
IPCC (2000) Good practice guidance and uncertainty management in national greenhouse gas inventories. Intergovernmental Panel on Climate Change, Geneva
Johnson M, Edwards R, Alatorre Frenk C, Masera O (2008) In-field greenhouse gas emissions from cookstoves in rural Mexican households. Atmos Environ 42:1206–1222
Johnson M, Edwards R, Ghilardi A, Berrueta V, Gillen D, Frenk CA, Masera O (2009) Quantification of carbon savings from improved biomass cookstove projects. Environ Sci Technol 43:2456–2462
Kituyi E, Marufu L, Wandiga SO, Jumba IO, Andreae MO, Helas G (2001) Carbon monoxide and nitric oxide from biofuel fires in Kenya. Energy Convers Manag 42:1517–1542
Ludwig J, Marufu LT, Huber B, Andreae MO, Helas G (2003) Domestic combustion of biomass fuels in developing countries: a major source of atmospheric pollutants. J Atmos Chem 44:23–37
Masera OR, Diaz R, Berrueta V (2005) From cookstoves to cooking systems: the integrated program on sustainable household energy use in Mexico. Energy for Sustainable Development 9:25–36
Masera O, Ghilardi A, Drigo R, Trossero MA (2006) WISDOM: a GIS-based supply demand mapping tool for woodfuel management. Biomass Bioenergy 30:618–637
Roden CA, Bond TC, Conway S, Benjamin A, Pinel O (2006) Emission factors and real-time optical properties of particles emitted from traditional wood burning cookstoves. Environ Sci Technol 40:6750–6757
Smith KR, Khalil MAK, Rasmussen RA, Thorneloe SA, Manegdeg F, Apte M (1993) Greenhouse gases from biomass and fossil-fuel stoves in developing countries - a Manila pilot-study. Chemosphere 26:479–505
Smith KR, Uma R, Kishore VVN, Lata K, Joshi V, Zhang J, Rasmussen RA, Khalil MAK (2000) Greenhouse gases from small-scale combustion devices in developing countries. United States Environmental Protection Agency, Washington, DC
Top N, Mizoue N, Ito S, Kai S (2004) Spatial analysis of woodfuel supply and demand in Kampong Thom Province, Cambodia. Forest Ecol Manag 194:369–378
UNFCCC (2008) AMS-I.E: switch from non-renewable biomass for thermal applications by the user. UNFCCC, Bonn
Zhang J, Smith KR, Ma Y, Ye S, Jiang F, Qi W, Liu P, Khalil MAK, Rasmussen RA, Thorneloe SA (2000) Greenhouse gases and other airborne pollutants from household stoves in China: a database for emission factors. Atmos Environ 34:4537–4549
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Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
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Johnson, M., Edwards, R. & Masera, O. Improved stove programs need robust methods to estimate carbon offsets. Climatic Change 102, 641–649 (2010). https://doi.org/10.1007/s10584-010-9802-0
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DOI: https://doi.org/10.1007/s10584-010-9802-0