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Including Carbon Emissions from Deforestation in the Carbon Footprint of Brazilian Beef

Artikel i vetenskaplig tidskrift
Författare Christel Cederberg
U. Martin Persson
K. Neovius
Sverker Molander
Roland Clift
Publicerad i Environmental Science and Technology
Volym 45
Nummer/häfte 5
Sidor 1773–1779
ISSN 0013-936X
Publiceringsår 2011
Publicerad vid Centrum för globalisering och utveckling (GCGD)
Institutionen för nationalekonomi med statistik
Sidor 1773–1779
Språk en
Länkar dx.doi.org/10.1021/es103240z
Ämnesord land-use change, greenhouse gases, amazon basin, expansion, consequences, biofuels, cerrado, history, forest
Ämneskategorier Miljöteknik, Nationalekonomi

Sammanfattning

Effects of land use changes are starting to be included in estimates of life-cycle greenhouse gas (GHG) emissions, so-called carbon footprints (CFs), from food production. Their omission can lead to serious underestimates, particularly for meat. Here we estimate emissions from the conversion of forest to pasture in the Legal Amazon Region (LAR) of Brazil and present a model to distribute the emissions from deforestation over products and time subsequent to the land use change. Expansion of cattle ranching for beef production is a major cause of deforestation in the LAR. The carbon footprint of beef produced on newly deforested land is estimated at more than 700 kg CO2-equivalents per kg carcass weight if direct land use emissions are annualized over 20 years. This is orders of magnitude larger than the figure for beef production on established pasture on non-deforested land. While Brazilian beef exports have originated mainly from areas outside the LAR, i.e. from regions not subject to recent deforestation, we argue that increased production for export has been the key driver of the pasture expansion and deforestation in the LAR during the past decade and this should be reflected in the carbon footprint attributed to beef exports. We conclude that carbon footprint standards must include the more extended effects of land use changes to avoid giving misleading information to policy makers, retailers, and consumers.

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