The inhabitants of the tidally active lower deltaic plain of the Ganges-Brahmaputra-Meghna basin adjacent to the Sundarbans Mangrove Forest in India and Bangladesh are highly exposed to multiple risks, including cyclones, salinization, pandemics, and socioeconomic marginalization.
While exposure to these hazards has built local resilience and relevant knowledge to interact within this particular social-ecological system, climate change and state interventions represent ongoing challenges for local communities.
THE PROJECT
The project aims to understand plural accounts and interpretations of the Sundarbans’ ‘riskscape’ produced by state and non-governmental actors and diverse members of the local communities. It seeks to support situated adaptive practices that enhance social resilience through experiments in inland fishing and integrated farming based on transdisciplinary engagement across the political boundaries of the Sundarbans.
AGRO-ECOLOGICAL EXPERIMENTS
Recent News & Events
Agroecology science days at UNIL
Our team has presented 2 papers at the Agroecology Science Days hosted by the University of Lausanne. WORKSHOP 4: NOURISHING THE AGRO-ECOLOGICAL TRANSITION BY EXPLORING LOCAL DYNAMICS AND NON-TECHNICAL SKILLS Beyond preconceived positionalities in transdisciplinary...
Ethnovisual methods for co-curating fluidscapes
Canal Fishery workshop
In September 2024, our ENGAGE4Sundarbans team organised a workshop at Kumirmari Bari with local stakeholders to investigate the possibilities of using canals as fisheries, to upscale our pond experiments. The participation of multiple local stakeholders opened the...
While the conventional approach of climate change adaptation in the Sundarbans relies on top-down technical solutions and the managed relocation of communities, our ‘living lab’ experimentations build on existing situated adaptive practices with the goals to enhance social resilience, reduce multiple risks and provide alternatives to outmigration.
PROJECT’S LOCATION
Implementation partners
FOLLOW US
Funded by
