Characterising local knowledge across the flood risk management cycle: a case study of Southern Malawi

Šakić Trogrlić, Robert; Wright, Grant; Duncan, Melanie; van den Homberg, Marc; Adeloye, Adebayo; Mwale, Faidess; Mwafulirwa, Joyce. 2019 Characterising local knowledge across the flood risk management cycle: a case study of Southern Malawi. Sustainability, 11 (6), 1681.

Before downloading, please read NORA policies.
Text (Open Access Paper)
sustainability-11-01681.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (970kB) | Preview


People possess a creative set of strategies based on their local knowledge (LK) that allow them to stay in flood-prone areas. Stakeholders involved with local level flood risk management (FRM) often overlook and underutilise this LK. There is thus an increasing need for its identification, documentation and assessment. Based on qualitative research, this paper critically explores the notion of LK in Malawi. Data was collected through 15 focus group discussions, 36 interviews and field observation, and analysed using thematic analysis. Findings indicate that local communities have a complex knowledge system that cuts across different stages of the FRM cycle and forms a component of community resilience. LK is not homogenous within a community, and is highly dependent on the social and political contexts. Access to LK is not equally available to everyone, conditioned by the access to resources and underlying causes of vulnerability that are outside communities’ influence. There are also limits to LK; it is impacted by exogenous processes (e.g., environmental degradation, climate change) that are changing the nature of flooding at local levels, rendering LK, which is based on historical observations, less relevant. It is dynamic and informally triangulated with scientific knowledge brought about by development partners. This paper offers valuable insights for FRM stakeholders as to how to consider LK in their approaches

Item Type: Publication - Article
Digital Object Identifier (DOI):
ISSN: 2071-1050
Date made live: 13 May 2019 13:40 +0 (UTC)

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...