The Sundarbans area, enlisted as UNESCO World Heritage Site, is the world’s largest mangrove forest shared between India and Bangladesh supporting 7.2 million people. This site is prone to several natural hazards such as wildfires, storms, erosion, net area loss and pollution leading to disturbance in ecology and ecosystem services. An integrated approach to protecting the ecosystem from hazards needs to be reconciled by conserving forests in connection to habitat with livelihood improvement and poverty alleviation. This study aims to in-depth analyses of Indian and Bangladesh Sundarbans areas and their comparison with Indonesian mangrove by involving and facilitating interaction among experts from Australia, India, Bangladesh and Indonesia. This study will map vulnerable zones of hazards using geospatial techniques and earth observation data. The study will also aim to investigate dynamics of forest dependency by local communities and budget accounting in respect to hazards together with carbon stock assessment and mapping of mangrove forests, plantations and adjacent agro-ecosystems. Finally, this study will develop a framework for preventive measures/management strategies based on locally available natural resources and behaviours of local inhabitants. In the proposed study, the valuation of provisioning forest-related services such as timber and non-timber forest products (NTFPs) will be done through a ranking system and the direct valuation method.
Project Leader
Project publications
Trait-based evidence of salinity-induced functional diversity loss in mangroves: Implications for ecosystem resilience
Drivers of biocapacity and global impact of the world’s largest mangrove in ecological footprint accounting
A hierarchical and inclusive zonation of Sundarbans for monitoring and management of the world heritage area
Recognizing the role of mangrove forest as a nature-based climate solution: Empirical evidence from Sundarbans mangrove forest of Bangladesh
Assessing vulnerability to cyclone hazards in the world’s largest mangrove forest, the Sundarbans: A geospatial analysis
Contribution of mangrove ecosystem services to local livelihoods in the Indian Sundarbans
A geospatial approach for hierarchical and inclusive zonation of Sundarbans for monitoring and management of the world heritage area
Annual mangrove vegetation cover changes (2014–2020) in Indian Sundarbans National Park using Landsat 8 and Google Earth Engine