Towards a more holistic sustainability assessment framework for agro-bioenergy systems - A review

被引:49
|
作者
Arodudu, Oludunsin [1 ,2 ]
Helming, Katharina [1 ,4 ]
Wiggering, Hubert [1 ,2 ]
Voinov, Alexey [3 ]
机构
[1] Leibniz Ctr Agr Landscape Res ZALF, Eberswalder Str 84, D-15374 Muncheberg, Germany
[2] Univ Potsdam, Inst Earth & Environm Sci, Karl Liebknecht Str 24-25, D-14476 Golm, Germany
[3] Univ Twente, Fac Geoinformat & Earth Observat, ITC, Hengelosestr 99, Enschede, Netherlands
[4] Univ Sustainable Dev HNEE, Fac Landscape Management & Nat Conservat, Schiclder Str 5, D-16225 Eberswalde, Germany
基金
欧盟第七框架计划;
关键词
LCA; Life cycle thinking; Life cycle sustainability assessment; Sustainability assessment; Agronomic factors; Agro-ecological; NET PRIMARY PRODUCTION; LIFE-CYCLE ASSESSMENT; LAND-USE CHANGE; GREY WATER FOOTPRINT; ENERGY RETURN; HUMAN APPROPRIATION; IMPACT ASSESSMENT; INVESTMENT EROI; ENVIRONMENTAL IMPACTS; PRODUCTION POTENTIALS;
D O I
10.1016/j.eiar.2016.07.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2016 Elsevier Inc. All rights reserved.
引用
收藏
页码:61 / 75
页数:15
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