| Titre : | Context-sensitive agricultural sustainability assessment: a systematic review of frameworks and local adaptation criteria (2026) |
| Auteurs : | T. Deng ; Z.F. Mohamad |
| Type de document : | Article |
| Dans : | Agricultural systems (vol. 231, January 2026) |
| Article en page(s) : | p. 104532 |
| Langues : | Anglais |
| Langues du résumé : | Anglais |
| Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.1 - Généralités. Situation AgricoleThésaurus IAMM AGRICULTURE ; DURABILITE ; EVALUATION |
| Résumé : | CONTEXT Global agriculture is facing mounting pressures from climate change, resource degradation, and socio-economic inequalities. These challenges emphasize the urgent need for sustainable agricultural practices that foster long-term resilience. Agricultural Sustainability Assessment (ASA) tools, which integrate environmental, economic, and social dimensions, are essential in guiding policy development and assessing the sustainability of agricultural practices. However, the ASA tools show various limitations in terms of local adaptability. OBJECTIVE This study systematically reviews ASA frameworks, with a particular focus on how well these tools incorporate local adaptation criteria. The aim is to evaluate existing frameworks' strengths, limitations, and their ability to adapt to diverse agricultural contexts. METHODS This review applies the PRISMA 2020 methodology for systematic reviews and integrated with PICO framework (Population, Intervention, Comparison, Outcome) to propose three research questions. A total of 33 peer-reviewed articles were analyzed, focusing on ASA tools across different agricultural systems. The study identifies key criteria for local adaptation, assessing the performance of various tools against these standards. RESULTS AND CONCLUSIONS The review found significant variability across ASA tools in terms of their local adaptation capabilities. Indicator-Based Frameworks (IBFs) tend to perform well in providing standardized comparisons but fall short in addressing dynamic, local needs. In contrast, Decision Support Tools (DSTs) excel in integrating real-time data and scenario modeling, but often lack effective stakeholder participation and feedback mechanisms. Tools like MOTIFS, SAFA, and FSA showed strength in multi-stakeholder collaboration and user-driven flexibility, while SENSE Tool and APEX demonstrated robustness in real-time data integration and scenario simulation. The findings underscore the need for hybrid models that combine the strengths of both structured and non-structured optimizations to create ASA tools that are both scientifically rigorous and adaptable to local conditions. Enhancing stakeholder collaboration and feedback mechanisms will further improve the local relevance and practical usability of ASA tools. SIGNIFICANCE This study provides pathways for improving local adaptation in ASA tools, ensuring that they can better address the heterogeneity of agricultural systems across different regions. By incorporating dynamic, local data, and fostering participatory design, future ASA tools can offer more accurate and context-sensitive sustainability assessments. |
| Cote : | Réservé lecteur CIHEAM |
| URL / DOI : | https://doi.org/10.1016/j.agsy.2025.104532 |
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