The Sundarbans (West Bengal) is highly vulnerable to hydro-meteorological hazards such as coastal storm surges, flooding, cyclones and other climatic events. These events often lead to loss of productivity in ecosystem-based livelihoods, biodiversity, ecosystem goods and services. Communities directly dependent on socio-ecological systems for primary livelihood need to strengthen their resilience for early recovery and prepare for the impacts of future hazards. Current policies often assume that households are equally vulnerable to hazards. However, there is no robust empirical study available on the level and distribution of vulnerability amongst marginalised households. This study compared the levels of vulnerability amongst 500 households in five villages situated in the Mangrove ecosystem of the Indian Sundarban using the Livelihood Vulnerability Index (LVIs). The results uncover significant variations in levels and distribution of vulnerability between the villages. These findings could be used to tailor need-based bespoke adaptation and mitigation interventions to combat climate-induced variability or hazard events in the future. In order to optimise the benefits of policy or program for strengthening resilience of these households – this article recommends that policymakers consider micro-level differences in levels and distribution of vulnerability.

Sundarbans（西孟加拉邦）极易受到水文气象灾害的影响，例如沿海风暴潮，洪水，飓风和其他气候事件。这些事件通常导致基于生态系统的生计，生物多样性，生态系统产品和服务的生产力下降。直接依靠社会生态系统谋生的社区需要增强其复原力，以早日恢复并为未来灾害的影响做准备。当前的政策经常假设家庭同样容易受到危害。但是，关于边缘化家庭中脆弱性的水平和分布，尚无可靠的经验研究。这项研究使用民生脆弱性指数（LVIs）比较了印度Sundarban红树林生态系统中五个村庄的500个家庭的脆弱性水平。结果揭示了村庄之间的脆弱性水平和分布存在显着差异。这些发现可用于量身定制基于需求的定制适应和缓解干预措施，以应对未来的气候变化或危害事件。为了最大程度地提高用于增强这些家庭的弹性的政策或计划的收益，本文建议政策制定者考虑脆弱性水平和分布的微观差异。这些发现可用于量身定制基于需求的定制适应和缓解干预措施，以应对未来的气候变化或危害事件。为了最大程度地提高用于增强这些家庭的弹性的政策或计划的收益，本文建议政策制定者考虑脆弱性水平和分布的微观差异。这些发现可用于量身定制基于需求的定制适应和缓解干预措施，以应对未来的气候变化或危害事件。为了最大程度地提高用于增强这些家庭的弹性的政策或计划的收益，本文建议政策制定者考虑脆弱性水平和分布的微观差异。