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Assessing household drought risk perception in resource-dependent communities, Cambodia
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DOI:10.1080/17565529.2026.2673901.png)
Abstract
En 中文
There is a need to understand resource users’ understanding of drought risk in relation to individual and community-level factors in Lower Mekong Region (LMR). This study quantifies variations in drought risk perception among households in irrigated and flood-pulse communities, identifying the biophysical, experiential, socio-psychological, and geographical factors shaping these perceptions. A mixed-methods approach, including Confounding Factor Analysis (CFA), multilevel modelling, and causal loop diagrams, was used to analyze 704 household survey data and qualitative interviews. Results show heterogeneity in risk perception at the household and community levels, explained by farmers’ subjective knowledge of drought causes and consequences, perceived ability to manage drought impacts, organizational affiliations, social ties to farm- and fish-related information, and economic conditions. Additionally, households in irrigated communities reported higher drought risk perceptions compared to those in flood-pulse communities, possibly due to their greater reliance on rainfed agriculture, unequal water distribution, and lower perceived ability to manage drought. This study is among the first at comparing the drought risk perception across contrasting socio-hydrological contexts in the LMR, integrating household-level quantitative and qualitative insights. These findings inform context-specific drought risk communication and management strategies to support vulnerable farming and fishing communities while addressing underlying socioeconomic disparities in adaptation capacity. This study also highlights the importance of examining context-specific factors in future research and policy.
Keywords:
Drought risk perception
socio-psychological and economic factors
mixed-methods approach
irrigated communities
flood-pulse communities
Cambodia
Journal
IF:
3.4
Papers:
1.1K
Citations:
3.1K
