Facing complexity on agro-ecosystems: A new approach to farming system analysis

Tiziano Gomiero, Mario Giampietro, Kozo Mayumi

Research output: Contribution to journalArticleResearch

14 Citations (Scopus)

Abstract

Sustainability requires the redefinition of the terms of reference for agricultural activities, which must be based on the recognition of multi-functional land use and the complex role that agriculture plays in society. The ability to renegotiate new terms of reference for agriculture, in turn, requires new analytical tools for agriculture analysis to be able to embrace the 'complexity revolution'. This paper presents a novel approach and a tool for integrated analysis of rural development: Multi-Objective Integrated Representation (MOIR). This tool is based on an integrated set of indicators reflecting non-equivalent views of farming systems and their performance (economic, environmental, social), at different scales (household, community, national). The approach helps to establish relations among the changes in values of different indicators. This facilitates a discussion of sustainability trade-offs associated with different scenarios, even when these trade-offs are not commensurable. Copyright © 2006 Inderscience Enterprises Ltd.
Original languageEnglish
Pages (from-to)116-144
JournalInternational Journal of Agricultural Resources, Governance and Ecology
Volume5
Issue number2-3
Publication statusPublished - 19 Apr 2006

Keywords

  • Agriculture
  • Farming system analysis
  • Indicators
  • Multi-criteria
  • Multi-Objective Integrated Representation (MOIR)
  • Multi-scale integrated analysis
  • Rural development
  • Science for governance

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