A guide for choosing the most appropriate method for multi-criteria assessment of agricultural systems according to decision-makers’ expectations

Carof, M. and Colomb, B. and Aveline, A. (2012) A guide for choosing the most appropriate method for multi-criteria assessment of agricultural systems according to decision-makers’ expectations. Agricultural Systems. pp. 1-12.

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Abstract

Modern agriculture must meet new challenges such as production of healthy food, adaptation to climate change, protection of natural resources, and conservation of landscape. These challenges require changes in current agricultural systems and therefore, environmentally-friendly agricultural systems must be designed and their sustainability assessed. Over the past several years, various methods have been developed for making such assessments (e.g. the Balancing and Ranking Method, MEACROS, MODAM, the modelling framework of Pacini et al., ROTAT + Farm Images, MASC, and ROTOR) but few studies put forward simple solutions for selecting one method over another. In this paper, we propose a simple guide to distinguish methods one from another. Categories of the guide include the type of systems to assess, the spatial and temporal scales at which systems are assessed, the dimensions of sustainability for which systems are assessed, the type of visualisation for comparing options, the target users, and the ability to generate alternative systems. The guide was developed and tested with a group of farm advisors involved in a three-year project called RotAB, which aimed to assess the sustainability of organic arable farming systems: the advisors looked for a method for sustainability assessment of cropping systems. We presented seven recent assessment methods as well as the guide to advisors. The guide’s key points allowed them to clearly express their requirements: the method they looked for had to evaluate cropping systems and helped advisors to propose new ones; it had to evaluate multiple sustainability criteria that are easily understandable by farmers; indicators had to be scientifically based, without the need for many input data; the method had to be easy to use and produced graphical output that can be discussed with farmers. Finally, the guide helped advisors to choose one of the seven methods (in that case they chose MASC). This guide can help decision-makers distinguish assessment tools from one another using simple categories and choose the one best adapted to their expectations.

Item Type: Article
Additional Information: This work was funded by the French MAAP – DGER (Ministère de l’Alimentation, de l’Agriculture et de la Pêche – Direction Générale de l’Enseignement et de la Recherche) under the CASDAR (Compte d’Affectation Spéciale Développement Agricole et Rural) via the Project RotAB (Rotations en Agriculture Biologique). We thank Michelle L. Corson and Michael S. Corson for their editorial work in English. We also thank the anonymous reviewers for their useful comments on earlier versions of this paper.
Author Affiliation: Sol Agro et hydrosystème Spatialisation, F-35000 Rennes, France, Université Européenne de Bretagne, France, Agrosystèmes et agricultures Gestion des ressources Innovations Ruralités, F-31320 Castanet-Tolosan, France, Agrosystèmes et agricultures Gestion des ressources Innovations Ruralités, F-31320 Castanet-Tolosan, France
Subjects: Plant Production
Social Sciences
Divisions: General
Depositing User: Mr. SanatKumar Behera
Date Deposited: 03 Nov 2012 06:28
Last Modified: 03 Nov 2012 06:28
Official URL: http://dx.doi.org/10.1016/j.agsy.2012.09.011
URI: http://eprints.icrisat.ac.in/id/eprint/8662

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