Dardonville M., Bockstaller C., Therond O. (2021). Review of quantitative evaluations of the resilience, vulnerability, robustness and adaptive capacity of temperate agricultural systems. Journal of Cleaner Production, 01/03/2021, vol. 286, p. 1-14.
https://doi.org/10.1016/j.jclepro.2020.125456
https://doi.org/10.1016/j.jclepro.2020.125456
Titre : | Review of quantitative evaluations of the resilience, vulnerability, robustness and adaptive capacity of temperate agricultural systems (2021) |
Auteurs : | M. Dardonville ; C. Bockstaller ; O. Therond |
Type de document : | Article |
Dans : | Journal of Cleaner Production (vol. 286, March 2021) |
Article en page(s) : | p. 1-14 |
Langues : | Anglais |
Langues du résumé : | Anglais |
Catégories : |
Catégories principales 06 - AGRICULTURE. FORÊTS. PÊCHES ; 6.4 - Production Agricole. Système de ProductionThésaurus IAMM AGRICULTURE ; SYSTEME DE PRODUCTION ; RESILIENCE ; VULNERABILITE ; ADAPTATION ; CAPACITE ; SYSTEME AGRAIRE ; CLIMAT TEMPERE ; EVALUATION ; ANALYSE QUANTITATIVE |
Mots-clés: | ROBUSTESSE ; CAPACITE D'ADAPTATION |
Résumé : | Vulnerability, resilience, robustness and adaptive capacity are four key concepts that characterize dynamics of systems when disturbance occurs. However, rendering them operational for agricultural systems using an approach to quantify dynamics remains a challenge. To provide a synthesis of studies that attempt to do so, we systematically reviewed scientific articles that quantified the vulnerability, resilience, robustness or adaptive capacity of agricultural systems in temperate zones. Our semi-automatic selection based on the Web of Science and textual visualization with VOSviewer enabled us to identify only 53 articles. They focus mainly on the effect of climate change on yield dynamics but are diverse in terms of agricultural systems (organizational levels, type of production), methods, criteria of dynamics (e.g. trend, variability, recovery, resistance) and explanatory factors tested (e.g. diversity, intensification, management). Studies that refer to one of these four investigated concepts use criteria of dynamics interchangeably to analyze dynamics, confirming the fuzzy definition of these concepts. While a wide range of methods are used, most studies focus on only one performance attribute, mainly yield, which hides the multifunctionality of agriculture. However, half of the studies use multiple criteria of dynamics to describe them in a multifaceted manner. We highlight that combining short-term and long-term studies is rare, and social and ecological explanatory factors are rarely tested. Identifying key generic explanatory factors (properties) that determine vulnerability, resilience, robustness or adaptive capacity requires identifying a shared core set of factors to investigate systematically. We show that this set of properties could be identified through cross-sectional analysis of results of expert-based and quantitative assessments. |
Cote : | Réservé lecteur CIHEAM |
URL / DOI : | https://doi.org/10.1016/j.jclepro.2020.125456 |