Cet article propose un cadre conceptuel mis à jour de la notion de maladaptation, soutenu par plusieurs études de cas (Maldives, Éthiopie, Afrique du Sud, Bangladesh). Cette approche renouvelée, à la fois conceptuelle et pratique, positionne l'anticipation du risque de maladaptation comme une priorité pour les décideurs dans la définition de politiques d'adaptation soutenables.
Références :
Magnan, A. K., Schipper, E.L.F., Burkett, M., Bharwani, S., Burton, I., Eriksen, S., Gemenne, F., Schaar, J. and Ziervogel, G. (2016). Addressing the risk of maladaptation to climate change. WIREs Clim Change. doi: 10.1002/wcc.409
Résumé [en anglais] :
"This paper reviews the current theoretical scholarship on maladaptation and provides some specific case studies—in the Maldives, Ethiopia, South Africa, and Bangladesh—to advance the field by offering an improved conceptual understanding and more practice-oriented insights. It notably highlights four main dimensions to assess the risk of maladaptation, that is, process, multiple drivers, temporal scales, and spatial scales. It also describes three examples of frameworks—the Pathways, the Precautionary, and the Assessment frameworks—that can help capture the risk of maladaptation on the ground. Both these conceptual and practical developments support the need for putting the risk of maladaptation at the top of the planning agenda. The paper argues that starting with the intention to avoid mistakes and not lock-in detrimental effects of adaptation-labeled initiatives is a first, key step to the wider process of adapting to climate variability and change. It thus advocates for the anticipation of the risk of maladaptation to become a priority for decision makers and stakeholders at large, from the international to the local levels. Such an ex ante approach, however, supposes to get a clearer understanding of what maladaptation is. Ultimately, the paper affirms that a challenge for future research consists in developing context-specific guidelines that will allow funding bodies to make the best decisions to support adaptation (i.e., by better capturing the risk of maladaptation) and practitioners to design adaptation initiatives with a low risk of maladaptation."
