MASC, a qualitative multi-attribute decision model for ex ante assessment of the sustainability of cropping systems

Sadok, Walid; Angevin, Frédérique; Bergez, Jacques-Eric; Bockstaller, Christian; Colomb, Bruno; Guichard, Laurence; Réau, Raymond; Messéan, Antoine; Doré, Thierry

doi:10.1051/agro/2009006

Cited by 141 publications

(113 citation statements)

References 46 publications

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“…MASC ("Multi-attribute Assessment of the Sustainability of Cropping systems", Sadok et al 2009) is a model developed by researchers to assess sustainability of agricultural systems. Developed with the DEXi software, it can be used for both ex ante assessment (i.e., on newly designed or non-existant systems) or ex post assessment (i.e., on Fig.…”

Section: Example Of the Masc Modelmentioning

confidence: 99%

“…The targeted end users were researchers, extension workers (from technical institutions, the agrifood chain, or resource managers), or farmers. Grignon model (Bohanec et al 2008); (Sadok et al 2009; S scientists, E extension workers, F farmers, -none; +few, a little; ++very, a lot…”

Section: Review Of Dexi-based Assessment Modelsmentioning

confidence: 99%

“…Over the past few years, the agronomic research community has developed several different DEXi-based models to assess sustainability of agricultural systems, such as for genetically modified crop systems (Bohanec et al 2008), innovative arable cropping systems (Bohanec et al 2007;Pelzer et al 2012;Sadok et al 2009;Vasileiadis et al 2013), and apple orchards (Mouron et al 2012). Nonetheless, there is an increasing need to design assessment models for the agricultural sector, but no methodological guidelines have been written for using qualitative MCDA software such as DEXi in this design phase.…”

Section: Introductionmentioning

confidence: 99%

“…1). We also provide a short illustration of a hierarchical tree designed with DEXi (the MASC model; Sadok et al 2009) and introduce our general approach to building new qualitative and hierarchical assessment models. In the second section, we describe the design steps and focus on the main aspects considered.…”

Section: Introductionmentioning

confidence: 99%

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Guidelines to design models assessing agricultural sustainability, based upon feedbacks from the DEXi decision support system

Craheix¹,

Bergez²,

Angevin³

et al. 2015

Agron. Sustain. Dev.

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New agricultural systems are required to satisfy societal expectations such as higher quantity and quality of agricultural products, reducing environmental impacts, and more jobs. However, identifying and implementing more suitable agricultural systems is difficult due to conflicting objectives and to the wide diversity of scientific disciplines required to solve agricultural issues. Therefore, designing models to assess the sustainability of agricultural systems requires multicriteria decision aid methods. The French agronomist community has recently developed 11 hierarchical and qualitative models to assess sustainability using the DEXi decision aid software. Here, we give guidelines to help designers to build their own specific models. First, we present the principles and applications of the DEXi software. Then, we provide guidance on the following steps of model designing: (1) initial analysis and planning of the design process, (2) selection and hierarchy of sustainability criteria, (3) indicator selection and building, (4) parameterization, (5) evaluation, and (6) model dissemination and uses. We then discuss advantages and drawbacks of this kind of modeling formalism, the role of a participatory approach, and the main properties to consider during the design process.

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Section: Example Of the Masc Modelmentioning

confidence: 99%

Section: Review Of Dexi-based Assessment Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Guidelines to design models assessing agricultural sustainability, based upon feedbacks from the DEXi decision support system

Craheix¹,

Bergez²,

Angevin³

et al. 2015

Agron. Sustain. Dev.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The same indicators can then be measured by all decision-makers and subsequently (post hoc) aggregated and filtered to match different contexts and applications, i.e. each indicator is multiplied by a 'weight' ascribed by a given context or stakeholder (Cloquell-Ballester et al 2006;Sadok et al 2009;Elsaesser et al 2015). There is a need to develop, test and cross-calibrate methods to measure weights ascribed by different participants to different indicators and sustainability dimensions.…”

Section: Future Approaches and Research For Selecting Sustainability mentioning

confidence: 99%

When experts disagree: the need to rethink indicator selection for assessing sustainability of agriculture

Olde

Møller

Marchand

et al. 2016

Environ Dev Sustain

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Sustainability indicators are well recognized for their potential to assess and monitor sustainable development of agricultural systems. A large number of indicators are proposed in various sustainability assessment frameworks, which raises concerns regarding the validity of approaches, usefulness and trust in such frameworks. Selecting indicators requires transparent and well-defined procedures to ensure the relevance and validity of sustainability assessments. The objective of this study, therefore, was to determine whether 123Environ Dev Sustain DOI 10.1007/s10668-016-9803-x experts agree on which criteria are most important in the selection of indicators and indicator sets for robust sustainability assessments. Two groups of experts (Temperate Agriculture Research Network and New Zealand Sustainability Dashboard) were asked to rank the relative importance of eleven criteria for selecting individual indicators and of nine criteria for balancing a collective set of indicators. Both ranking surveys reveal a startling lack of consensus amongst experts about how best to measure agricultural sustainability and call for a radical rethink about how complementary approaches to sustainability assessments are used alongside each other to ensure a plurality of views and maximum collaboration and trust amongst stakeholders. To improve the transparency, relevance and robustness of sustainable assessments, the context of the sustainability assessment, including prioritizations of selection criteria for indicator selection, must be accounted for. A collaborative design process will enhance the acceptance of diverse values and prioritizations embedded in sustainability assessments. The process by which indicators and sustainability frameworks are established may be a much more important determinant of their success than the final shape of the assessment tools. Such an emphasis on process would make assessments more transparent, transformative and enduring.

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Measuring sustainability of smallholder livestock farming in Yurimaguas, Peruvian Amazon

Van‐Heurck

Orihuela

Solis

et al. 2020

Food and Energy Security

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MASC, a qualitative multi-attribute decision model for ex ante assessment of the sustainability of cropping systems

Cited by 141 publications

References 46 publications

Guidelines to design models assessing agricultural sustainability, based upon feedbacks from the DEXi decision support system

Guidelines to design models assessing agricultural sustainability, based upon feedbacks from the DEXi decision support system

When experts disagree: the need to rethink indicator selection for assessing sustainability of agriculture

Measuring sustainability of smallholder livestock farming in Yurimaguas, Peruvian Amazon

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