How a Pareto frontier complements scenario projections in land use change impact assessment

Publication date

2017

Authors

Verstegen, J.A.ORCID 0000-0002-9082-4323ISNI 0000000492959832
Jonker, J.G.G.ISNI 0000000436397150
Karssenberg, D.J.ORCID 0000-0002-6475-363XISNI 0000000114829248
van der Hilst, F.ORCID 0000-0002-6839-9375ISNI 0000000391237750
Schmitz, O.ORCID 0000-0002-0493-851XISNI 0000000419437843
de Jong, StevenORCID 0000-0002-1586-9601ISNI 0000000110857591
Faaij, André P.C.

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Document Type

Article
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Abstract

To evaluate the sustainability of potential agricultural land developments, scenario projections with land use change models are often combined with environmental impact assessments. Although this allows inter-scenario comparison of impacts, it does not permit interpretation of scenarios in the light of theoretically optimal impacts. A Pareto frontier provides this information. We demonstrate this for ethanol production in Goiás, Brazil, in 2030. For a Business-as-Usual scenario projection, the spatial configuration, production costs, and GHG emissions of the production chain are compared with those obtained from spatial optimization and summarized by the Pareto frontier. Projected production costs are 729 $/m3 ethanol, with GHG emissions of 40 kg CO2-eq/m3 ethanol. The Pareto frontier indicates an improvement potential of ∼50 $/m3 ethanol when keeping emissions fixed, or ∼250 kg CO2-eq/m3 ethanol when keeping costs fixed. Robust locations having low costs and emissions show where and how improvements are reached, offering instruments for policy (re)design.

Keywords

Brazil, Ethanol, Genetic algorithm, GHG emissions, Optimization, Pareto frontier, Taverne, Software, Environmental Engineering, Ecological Modelling, SDG 2 - Zero Hunger, SDG 13 - Climate Action, SDG 17 - Partnerships for the Goals

Citation

Verstegen, J A, Jonker, J G G, Karssenberg, D, van der Hilst, F, Schmitz, O, de Jong, S M & Faaij, A P C 2017, 'How a Pareto frontier complements scenario projections in land use change impact assessment', Environmental Modelling and Software, vol. 97, pp. 287-302. https://doi.org/10.1016/j.envsoft.2017.08.006