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Towards a more holistic sustainability assessment framework for agro-bioenergy systems — A review
Institution:1. Leibniz-Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374 Müncheberg, Germany;2. Potsdam University, Institute of Earth and Environmental Sciences, Karl-Liebknecht-Straße 24-25, 14476 Potsdam, Golm, Germany;3. ITC, Faculty of Geoinformation and Earth Observation, University of Twente, Hengelosestraat 99, Enschede, The Netherlands;4. Faculty of Landscape Management and Nature Conservation, University for Sustainable Development (HNEE), Schickler Strasse 5, 16225 Eberswalde, Germany;1. Institute for Agricultural and Fisheries Research (ILVO)-Social sciences Unit, Burg. Van Gansberghelaan 115, box 2, 9820 Merelbeke, Belgium;2. University of Antwerp, Ecosystem Management Research Group and IMDO, Universiteitsplein 1, 2610 Wilrijk, Belgium;3. University of Ghent, Department of Agricultural Economics, Coupure Links 53, 9000 Ghent, Belgium;1. School of Animal, Rural and Environmental Sciences, Nottingham Trent University, Brackenhurst, Sothwell NG25 0QF, Nottingham, UK;2. Natural Resources Institute, University of Greenwich, Medway Campus, Central Avenue, Chatham Maritime ME4 4TB, UK
Abstract:The use of life cycle assessment (LCA) as a sustainability assessment tool for agro-bioenergy system usually has an industrial agriculture bias. Furthermore, LCA generally has often been criticized for being a decision maker tool which may not consider decision takers perceptions. They are lacking in spatial and temporal depth, and unable to assess sufficiently some environmental impact categories such as biodiversity, land use etc. and most economic and social impact categories, e.g. food security, water security, energy security. This study explored tools, methodologies and frameworks that can be deployed individually, as well as in combination with each other for bridging these methodological gaps in application to agro-bioenergy systems. Integrating agronomic options, e.g. alternative farm power, tillage, seed sowing options, fertilizer, pesticide, irrigation into the boundaries of LCAs for agro-bioenergy systems will not only provide an alternative agro-ecological perspective to previous LCAs, but will also lead to the derivation of indicators for assessment of some social and economic impact categories. Deploying life cycle thinking approaches such as energy return on energy invested-EROEI, human appropriation of net primary production-HANPP, net greenhouse gas or carbon balance-NCB, water footprint individually and in combination with each other will also lead to further derivation of indicators suitable for assessing relevant environmental, social and economic impact categories. Also, applying spatio-temporal simulation models has a potential for improving the spatial and temporal depths of LCA analysis.
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