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Title: Modelling sustainable intensification in Brazilian agriculture
Author: De Oliveira Silva, Rafael
ISNI:       0000 0004 7224 4418
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2017
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At the United Nations Framework Conference on Climate Change COP15 (2009) Brazil presented ambitious commitments or Nationally Appropriate Mitigation Actions (NAMAs), to reduce greenhouse gases emissions (GHGs) mitigation by 2020. At COP21 (2015), the country presented new commitments and a framework to achieve further mitigation targets by 2030 as so-called Intended Nationally Determined Contributions (INDCs). Both NAMAs and INDCs focus on the land use change and agricultural sectors, but the INDCs include a commitment of zero illegal deforestation in the Amazon by 2030. This research focuses on the contribution of the livestock sector to reducing GHGs through the adoption of sustainable intensification measures. A detailed linear programming model, called Economic Analysis of Greenhouse Gases for Livestock Emissions (EAGGLE), of beef production was developed to evaluate environmental trade-offs. The modelling encompasses pasture degradation and recovery processes, animal and deforestation emissions, soil organic carbon dynamics and upstream life-cycle inventory. The model was parameterized for the Brazilian Cerrado, Amazon and Atlantic Forest biomes and further developed for farm-scale and regional-scale analysis. Different versions of the EAGGLE model was used to: (i) Evaluate the GHG mitigation potential and economic benefit of optimizing pasture management through the partitioning of initially uniform pasture area; (ii) to define abatement potential and cost-effectiveness of key mitigation measures applicable to the Brazilian Cerrado; (ii) to demonstrate the extent of cost-effective mitigation that can be delivered by the livestock sector as part of INDCs, and to show a result that underpins the national INDC target of zero deforestation; and (iv) to evaluate the consequences of reducing (or increasing) beef production on GHGs in the Cerrado. Counter-intuitively, a sensitivity analysis shows that reducing beef consumption could lead to higher GHG emissions, while increasing production could reduce total GHGs if livestock is decoupled from deforestation.
Supervisor: Moran, Dominic ; Hall, Julian Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: livestock production ; environmental impact ; Brazil ; GHGs mitigation