Replication Data for: Fish-farmers' responses on developing climate information services for aquaculture in Bangladesh

Climate information services (CIS) are increasingly in demand to assist farmers in managing risks associated with climate variability and extremes experienced in food production systems. However, CIS research addressing food security have largely focused on land-based agriculture. Information about the specific needs for CIS in the aquaculture sector remains scarce. In response, there is a need for a deep understanding of the sensitivity of different aquaculture operations to specific climatic variables to ensure access to appropriate CIS enabling decision makers particularly the fish-farmers to adapt their decisions. Also, identification of climate sensitive aquaculture operations and portfolio adaptive decision are, therefore, prerequisite to the development of CIS for aquaculture. To reduce this gap and generate evidence, this study aims to produce information and knowledge for developing tailored decision support services for aquaculture farmers in Bangladesh. This study reports a valuable first step in collecting information on climate services need and preferences from the fish-farmers in Bangladesh to develop species-specific temperature and rainfall thresholds base climate services for South-Asian aquaculture system to ensure the sustainability of aquaculture production system.当前，协助农户应对粮食生产系统中气候变异性与极端气候事件风险的气候信息服务（Climate Information Services, CIS）需求日益增长。然而，现有围绕粮食安全开展的CIS研究大多聚焦于陆上农业，水产养殖领域的CIS具体需求相关信息仍较为匮乏。有鉴于此，亟需深入厘清不同水产养殖作业对特定气候变量的敏感性，以确保决策者（尤其是养鱼户）能够获取适配的气候信息服务，进而优化决策。此外，识别对气候敏感的水产养殖作业类型并制定组合式适应性决策方案，亦是开发水产养殖领域CIS的必要前提。为填补这一研究空白并生成实证依据，本研究旨在为孟加拉国水产养殖农户开发定制化决策支持服务提供信息与知识支撑。本研究通过收集孟加拉国养鱼户对气候服务的需求与偏好信息，为南亚水产养殖系统开发基于物种特异性温度与降雨阈值的气候服务迈出了宝贵的第一步，以保障水产养殖生产系统的可持续性。