How can land-use modelling tools inform bioenergy policies?

Author:

Davis Sarah C.12,House Joanna I.3,Diaz-Chavez Rocio A.4,Molnar Andras5,Valin Hugo67,DeLucia Evan H.12

Affiliation:

1. Energy Biosciences Institute, University of Illinois at Urbana-Champaign, Urbana, IL, USA

2. Department of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA

3. QUEST, Department of Earth Sciences, University of Bristol, Bristol, UK

4. Centre for Environmental Policy, Imperial College, London, UK

5. Research Institute for Agricultural Economics, Budapest, Hungary

6. Forestry Program, International Institute on Applied Systems Analysis, Laxenburg, Austria

7. UMR Economie Publique/Public Economics Research Unit, Institute National de Recherche Agronomique (INRA), Paris, France

Abstract

Targets for bioenergy have been set worldwide to mitigate climate change. Although feedstock sources are often ambiguous, pledges in European nations, the United States and Brazil amount to more than 100 Mtoe of biorenewable fuel production by 2020. As a consequence, the biofuel sector is developing rapidly, and it is increasingly important to distinguish bioenergy options that can address energy security and greenhouse gas mitigation from those that cannot. This paper evaluates how bioenergy production affects land-use change (LUC), and to what extent land-use modelling can inform sound decision-making. We identified local and global internalities and externalities of biofuel development scenarios, reviewed relevant data sources and modelling approaches, identified sources of controversy about indirect LUC (iLUC) and then suggested a framework for comprehensive assessments of bioenergy. Ultimately, plant biomass must be managed to produce energy in a way that is consistent with the management of food, feed, fibre, timber and environmental services. Bioenergy production provides opportunities for improved energy security, climate mitigation and rural development, but the environmental and social consequences depend on feedstock choices and geographical location. The most desirable solutions for bioenergy production will include policies that incentivize regionally integrated management of diverse resources with low inputs, high yields, co-products, multiple benefits and minimal risks of iLUC. Many integrated assessment models include energy resources, trade, technological development and regional environmental conditions, but do not account for biodiversity and lack detailed data on the location of degraded and underproductive lands that would be ideal for bioenergy production. Specific practices that would maximize the benefits of bioenergy production regionally need to be identified before a global analysis of bioenergy-related LUC can be accomplished.

Publisher

The Royal Society

Subject

Biomedical Engineering,Biomaterials,Biochemistry,Bioengineering,Biophysics,Biotechnology

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