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click hereLivelihood Adaptation of coastal rural population after Aila: An Asset-based Analysis
This thesis explores the adaptations of the rural coastal
people after cyclone through a vulnerability study in Southwest Bangladesh.
Over the past 10 years among 4 cyclones Sidr (2007) and Aila (2009) are two
devastating cyclones which dismissed the whole livelihood pattern of the
coastal people and the ecosystem as well. Among the people those people are
becoming more vulnerable who are poor. After Aila particularly shrimp farming
has changed livelihood opportunities and increased the vulnerabilities of poor
villagers to future environmental changes, including climate change. This
research therefore aims to find out the status of livelihood adaptation using
assets of rural coastal people of the southwest after cyclone. It is found that
these types of climate related vulnerability and adaptive capacity are
differentiated at the sub-community level, both among different socio-economic,
occupational groups and even within themselves. Therefore, it has explored the
factors that shape differentiated vulnerability and adaptive capacity within
the four communities, with a focus on differentiated nature of poverty. The
research also uses asset-based framework of vulnerability and adaptation to analyse
vulnerability and adaptation of rural coastal households and communities to
climate variability. The research findings have explained why and how climate
related vulnerability and adaptive capacity are differentiated at different
levels. It is found that the adaptive strategies were not quite enough to
reduce the vulnerabilities indicated the risks of the people especially the
poor. As a result, many people must migrate to other places to earn livelihood.
Sufficient assets can protect themselves and more resilient against the risks
of the climate extremes.
| Details | |||
| Role | Supervisor | ||
|---|---|---|---|
| Class / Degree | Masters | ||
| Students | MURP 150403: Mehedi Mudasser | ||
| Start Date | 01 June 2016 | ||
| End Date | 30 June 2017 | ||