Social learning approaches for ecosystem-based disaster risk reduction

Murti, Radhika; Mathez-Stiefel, Sarah-Lan (2019). Social learning approaches for ecosystem-based disaster risk reduction. International journal of disaster risk reduction, 33, pp. 433-440. Elsevier 10.1016/j.ijdrr.2018.09.018

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Ecosystem-based disaster risk reduction, a concept that has recently evolved from the notion of employing ecosystem management approaches for reducing societal risks to disasters, requires active and inclusive involvement of a range of stakeholders in order to enhance the knowledge base, facilitate favourable policy mechanisms and inform suitable practices on the ground. The integration of different disciplines of knowledge, alignment of policies such as those related to natural resource management, disaster risk management and development, as well as execution of unified practices are necessary conditions in order to successfully harness the benefits of nature for protecting people from the impacts of disasters. Social learning is an iterative, collective learning process that can convene the wide range of stakeholders support co-creation of knowledge, enhance collective understanding of what action is needed as well as strengthen the willingness for joint action and advocacy. The paper explores opportunities in applying social learning for ecosystem-based disaster risk reduction, especially in light of the emerging challenges documented from early applications and in evolving literature. It also elaborates on the limitations of social learning itself and the research opportunities social learning for ecosystem-based disaster risk reduction holds.

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