Driven by the growing frequency of flood risks, this study focused on farming water resource management (FWRM) as an ecosystem-based solution. Despite its significance, there are limited studies investigating paddy farmers’ community-based adaptations (CBAs) for managing diverse farming water resources at a micro-spatial level, particularly within multidimensional communities. This study aims to bridge this gap and focuses on how community diversity and household characteristics impact farmers’ adaptation to different CBA methods. We conducted a household questionnaire survey in floodplain paddy farming communities in Kawasoti Municipality, Nepal, based on cultural, socioeconomic, and settlement diversity. The questionnaire was subjected to farmers’ CBAs for integrated FWRM and multiple structural and nonstructural adaptation measures for irrigation and rivers. The results showed that farmer participation varied across community groups. To understand the most important associated factors within community diversity and household attributes to adopt different water resources, the most adopted structural measures of water flow management (54%) from irrigation and buffer zone vegetation (54%) from rivers were analyzed. We used the Chi-squared Automatic Interaction Detector model, which suggests that water accessibility associated with community diversity, landholding, and water intake is important to improve farmers’ participation in irrigation management. However, for river management, community diversity, which relates to location in relation to a river and is associated with household income and farmland distance, is an important factor.