02667naa a2200337 a 450000100080000000500110000800800410001902200140006002400540007410000200012824501820014826000090033052015710033965000190191065000290192965000230195865000250198165000340200665000190204065000450205965000100210465000280211465000250214270000190216770000210218670000130220770000190222070000210223970000140226077300550227420375032020-01-07       2015    bl uuuu     u00u1 u    #d  a0308-521X7 ahttp://dx.doi.org/10.1016/j.agsy.2015.08.0112DOI1 aSILVA, R. de O.  aDeveloping a nationally appropriate mitigation measure from the greenhouse gas GHG abatement potential from livestock production in the Brazilian Cerrado.h[electronic resource]  c2015  aBrazil is one of the first major developing countries to commit to a national greenhouse gas (GHG) emissions target that requires a reduction of between 36.1% and 38.9% relative to baseline emissions by 2020. The country intends to submit agricultural emissions reductions as part of this target, with livestock production identified as offering significant abatement potential. Focusing on the Cerrado core (central Brazilian savannah), this paper investigates the cost-effectiveness of this potential, which involves some consideration of both the private and social costs and benefits (e.g. including avoided deforestation) arising from specific mitigation measures that may form part of Brazil's definition of Nationally Appropriate Mitigation Measures (NAMAs). The analysis was made using the EAGGLE optimization model (Economic Analysis of Greenhouse Gases for Livestock Emissions), which helps to define abatement costs. A baseline projection suggests that, the region will emit 2.6 Gt from 2010 to 2030, the equivalent of 9% of the country´s total net emissions. By implementing negative-cost measures identified in a marginal abatement cost curve (MACC), by 2030, regional emissions could be reduced by around 24%. Pasture restoration, involving avoided deforestation, offers the largest contribution to these results. As the Brazilian Cerrado is seen as model for transforming other global savannahs, the results offer a significant contribution by identifying alternatives for increasing productivity whilst minimizing national and global external costs.  aClimate change  aGreenhouse gas emissions  alinear programming  aLivestock production  aMarginal abatement cost curve  aRisk reduction  aSustainable agricultural intensification  aClima  aMétodo de otimização  aProgramação Linear1 aBARIONI, L. G.1 aALBERTINI, T. Z.1 aEORY, V.1 aTOPP, C. F. E.1 aFERNANDES, F. A.1 aMORAN, D.  tAgricultural Systemsgv. 140, p. 48-55, Nov. 2015.