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Reconciling top-down and bottom-up modelling on future bioenergy deployment

doi: 10.1038/nclimate1416
The Intergovernmental Panel on Climate Change's Special Report on Renewable Energy Sources and Climate Change Mitigation (SRREN) assesses the role of bioenergy as a solution to meeting energy demand in a climate-constrained world. Based on inte- grated assessment models, the SRREN states that deployed bioenergy will contribute the greatest proportion of primary energy among renewable energies and result in greenhouse-gas emission reductions. The report also acknowledges insights from life-cycle assessments, which characterize biofuels as a potential source of significant greenhouse-gas emissions and environ - mental harm. The SRREN made considerable progress in bringing together contrasting views on indirect land-use change from inductive bottom-up studies, such as life-cycle analysis, and deductive top-down assessments. However, a reconciliation of these contrasting views is still missing. Tackling this challenge is a fundamental prerequisite for future bioenergy assessment.
- Leibniz Association Germany
- University of California, Berkeley United States
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
- Potsdam-Institut für Klimafolgenforschung (Potsdam Institute for Climate Impact Research) Germany
- Technical University of Berlin Germany
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).120 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
