MASC Model

Evaluation of the contribution to sustainable development of cropping systems

The MASC tool (Multi-attribute Assessment of the Sustainability of Cropping Systems) was designed to assess the contribution of cropping systems to sustainable development. It is based on an evaluation of the three dimensions usually distinguished in sustainability (economic, social, and environmental) through 39 criteria selected to reflect the performance of field crop systems in Western Europe.

Description of the method

To evaluate a cropping system, it is necessary to fill in each of the basic criteria that characterize it in a qualitative manner, using a judgment scale of 3 to 5 classes. MASC then performs a progressive aggregation of the criteria, according to a "tree" which, starting from the 39 basic criteria, allows to go up progressively to have a global evaluation of the contribution of the cropping systems to sustainable development. The aggregation of the criteria is done using "if-then" decision rules.

Compared to existing assessment tools at the cropping system level, MASC has several advantages. This tool helps its users to judge the degree of satisfaction of the sustainability objectives assigned to the cropping systems, in the different economic, social and agro-environmental domains considered. It gives a "technical" content to sustainable development thanks to evaluation criteria based on a detailed description of agricultural practices (planned or already implemented). Then, by allowing a certain flexibility in the apprehension of sustainable development by its user (to take into account in particular the weight of local issues), it obliges the latter to specify his vision of sustainability.
From a practical point of view, MASC is easy to use and educational, since the whole operation is transparent for the user. These characteristics make it a suitable tool for researchers, but also for professionals wishing to evaluate in a multidimensional way the ways to transform their practices.
The MASC software was built by a group of researchers and teachers from four units involving INRAE and higher education institutions (AgroParisTech, INPL, INPT): Agronomy and Eco-Innov units in Grignon, UMR AGIR in Toulouse and LAE in Nancy-Colmar.
It is distributed under a CECill-C license.

Angevin F., Fortino G., Bockstaller C., Pelzer E., Méssean A., 2017. Assessing the sustainability of crop production systems: Toward a common framework?. Crop productions, Volume 97, 18-27.
Pelzer, E. et al. 2012. Assessing innovative cropping systems with DEXiPM, a qualitative multi-criteria assessment tool derived from DEXi. Ecological indicators, 18, 171-182. doi:10.1016/j.ecolind.2011.11.019.
Messéan A., Lô-Pelzer E., Bockstaller C., Lamine C., Angevin F., 2010. Outils d’évaluation et d’aide à la conception de stratégies innovantes de protection des grandes cultures. Innovations Agronomiques, 8, 69-81.
Sadok W., Angevin F., Bergez J.-E., Bockstaller C., Colomb B., Guichard L., Reau R., Doré T. (2008). Ex ante assessment of the sustainability of alternative cropping systems: implications for using multi-criteria decision aid methods. A review, Agron. Sustain. Dev. 28, 163-174.
Sadok W., Angevin F., Bergez J.E., Bockstaller C., Colomb B., Guichard L., Reau R., Messéan A., Doré T. (2009). MASC: a qualitative multi attribute decision model for ex ante assessment of the sustainability of cropping systems. Agron. Sustain. Dev. 29, 447-461.
Actes du séminaire MASC : le modèle MASC et ses utilisations pour l’évaluation de la durabilité des Systèmes de culture. 9-10 mars 2010, Paris, 29p.
Craheix D., Angevin F., Bergez J.E., Bockstaller C., Colomb B., Guichard L., Reau R., Doré T., 2011. MASC 2.0, un outil d’évaluation multicritère pour estimer la contribution des systèmes de culture au développement durable. Innovations Agronomiques, 20, 35-48.
Craheix D., Angevin F., Bergez J.-E., Bockstaller C.,Colomb B.,Guichard L., Omon B. Reau R., Doré T., 2012. Multicriteria assessment of the sustainability of cropping systems: A case study of farmer involvement using the MASC model. Xth European IFSA Symposium, 1-4 July 2012, Aarhus, Danemark, 8p.
Craheix et al., 2011. MASC, a model to assess the sustainability of cropping systems: taking advantage of feedback from the first users
PEPITES, 2013. L’agriculture de conservation : un éclairage par la recherche : Évaluation multicritère de systèmes en agriculture de conservation.
Craheix D. , Bergez J.-E , Angevin F., Bockstaller C. , Bohanec M., Colomb B., Doré T., Fortino G., Guichard L., Pelzer E., Méssean A., Reau R., Sadok W., 2015. Guidelines to design models assessing agricultural sustainability, based upon feedbacks from the DEXi decision support system. Review Article. Agronomy for sustainable development. DOI : 10.1007/s13593-015-0315-0.
Bohanec, M., 2008. DEXi: Program for multi-attribute decision making, User's manual, Version 3.03. IJS Report DP-9989, Jožef Stefan Institute, Ljubljana.
Bockstaller C., Girardin P., 2008. Mode de calcul des indicateurs agri-environnementaux de la méthode INDIGO®:, p. 115.

Modification date: 09 May 2023 | Publication date: 27 May 2021 | By: MEANS

Name of the cookie	Purpose	Shelf life
CAS and PHP session cookies	Login credentials, session security	Session
Tarteaucitron	Saving your cookie consent choices	12 months

Name of the cookie	Purpose	Shelf life
atid	Trace the visitor's route in order to establish visit statistics.	13 months
atuserid	Store the anonymous ID of the visitor who starts the first time he visits the site	13 months
atidvisitor	Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.	13 months

MASC Model

Description of the method

See also