Mitigation potential and costs for global agricultural greenhouse gas emissions

By R. Beach, B. DeAngelo, S. Rose, Changsheng Li, W. Salas, S. DelGrosso. 2008

124 citations recorded by the source corpus.

Subfields: Ecology, Economics and Econometrics, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/5291fd36920b85a0d745f894814424e7cb17c786

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Citations in the corpus

Agricultural greenhouse gas mitigation potential globally, in Europe and in the UK: what have we learnt in the last 20 years? (2012, methodology): “…forestry only), whereby levels of implementation, as a fraction of the technical potential, are estimated from the cost of implementation and the carbon price, using marginal abatement cost curves (MACCs; Beach et al., 2008) often implemented within models, such as FASOM (McCarl & Schneider, 2001).”
Marginal abatement costs of greenhouse gas emissions from European agriculture, cost effectiveness, and the EU non-ETS burden sharing agreement (2011, unknown): “…supply-side models (De Cara et al., 2005; Hediger, 2006), bottom-up engineering assessments of the costs and potential of abatement technologies (Beach et al., 2008; Moran et al., 2010; Höglund-Isaksson et al., 2010), and partial or general equilibrium models (McCarl & Schneider, 2001;…”
Greenhouse gas taxes on animal food products: rationale, tax scheme and climate mitigation effects (2011, background): “Beach et al. (2008) estimated that the global emissions of methane and nitrous oxide from livestock could be reduced by 10–15% for a carbon price of C100 per ton CO2-equivalents.”
Developing greenhouse gas marginal abatement cost curves for agricultural emissions from crops and soils in the UK (2010, background): “In their study of global agricultural GHG emissions, Beach et al. (2008) identified the main challenges of estimating mitigation costs over large spatial scales as follows: High degree of spatial and temporal heterogeneity in biophysical and management conditions that affect both production and…”
Object-based crop identification using multiple vegetation indices, textural features and crop phenology (2011, background): “…lists available at ScienceDirect Remote Sensing of Environment j ourna l homepage: www.e lsev ie r.com/ locate / rse Object-based crop identification using multiple vegetation indices, textural features and crop phenology José M. Peña-Barragán ⁎, Moffatt K. Ngugi, Richard E. Plant, Johan Six…”
Technical potentials and costs for reducing global anthropogenic methane emissions in the 2050 timeframe –results from the GAINS model (2020, methodology): “…estimatedmarginal abatement cost curves using an earlier version of theGAINS model andUSEPA (2006, 2012) presented corresponding cost curves for all non-CO2 greenhouse gases with (Beach et al 2015, Beach et al 2008) and Frank et al (2018) presenting results specifically for the agricultural sector.”