Cyclone-driven climate disasters and variability, compounded by small landholdings, low agricultural productivity, and declining natural resource quality in coastal regions, have exacerbated food, livelihood, and economic insecurity for rural agrarian communities. This study employs a participatory, quasi-quantitative framework using Fuzzy Cognitive Mapping (FCM) to construct mental models of smallholder farming communities in coastal India. Data were gathered from 360 respondents, and 24 maps were created at the village level under 8 blocks in 3 coastal districts of West Bengal through focus group discussions. These maps were quantitatively aggregated at the district level and subsequently combined to develop Social Cognitive Maps for the entire coastal West Bengal region. The study identifies perceived impacts of cyclone-driven climate disasters and assesses the effectiveness of adaptation strategies for building resilience pathway in coastal regions. FCM-based scenario analysis suggests that integrating adaptation strategies such as conservation and management of natural resources, improved crop management practices and building capacity and risk bearing ability functions synergistically, fostering a robust, perceived resilience pathway for smallholder farming communities. Natural resource management, integrated pest and nutrient management, and capacity-building and extension activities, were identified as major contributors to the anticipated changes within the system driven by the most perceived resilience pathway. This study offers critical insights for decentralized climate adaptation planning and highlights actionable areas for policy intervention in cyclone-affected coastal regions. The FCM framework presented here provides a transferable tool for integrating local knowledge into adaptive governance and resilience planning.
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