Published January 2017 | Version v1
Journal article

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

  • 1. Potsdam University, Institute of Earth and Environmental Sciences, Karl-Liebknecht-Straße 24-25, 14476 Potsdam, Golm (Germany)
  • 2. Leibniz-Centre for Agricultural Landscape Research (ZALF), Eberswalder Straße 84, 15374 Müncheberg (Germany)
  • 3. Faculty of Landscape Management and Nature Conservation, University for Sustainable Development (HNEE), Schickler Strasse 5, 16225 Eberswalde (Germany)
  • 4. ITC, Faculty of Geoinformation and Earth Observation, University of Twente, Hengelosestraat 99, Enschede (Netherlands)

Description

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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.eiar.2016.07.008

Additional details

Identifiers

DOI
10.1016/j.eiar.2016.07.008;
PII
S0195-9255(16)30094-4;

Publishing Information

Journal Title
Environmental Impact Assessment Review
Journal Volume
62
Journal Page Range
p. 61-75
ISSN
0195-9255
CODEN
EIARDK

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49036974
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
AGRICULTURE; CARBON; CULTIVATION TECHNIQUES; ECONOMIC IMPACT; ENERGY SECURITY; ENVIRONMENTAL IMPACTS; FERTILIZERS; GREENHOUSE GASES; LAND USE; LIFE CYCLE ASSESSMENT; PESTICIDES; SOCIAL IMPACT; SPECIES DIVERSITY; SUSTAINABILITY
Descriptors DEC
ELEMENTS; NONMETALS

Optional Information

Copyright
Copyright (c) 2016 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.