Attila Lázár 13th Nov 2013

On Wednesday 13th November, Dr Attila Lázár, University of Southampton, will give a jointattila_lazar.jpg_SIA - JPG - Fit to Width_144_true CS4 / Sustainability Science Southampton talk “The complex challenge of achieving sustainable livelihoods in coastal Bangladesh”

Building 53 Room 4025, Highfield Campus, 4-5pm. All welcome. Refreshments served after the talk.


Delta environments support 500 million people globally, often at very high densities (often > 1000 people per sq. km.) reflecting high agricultural productivity and more broadly high availability of ecosystem services. The future of these environments is uncertain due to multiple threats such as global climate change (e.g. sea-level rise), upstream catchment changes (e.g. new big dams) and local changes (e.g. pumping of groundwater inducing subsidence and salinisation). Hence deltas are complex social-environmental systems where the continuum of change is driven by multiple interacting factors operating at different temporal and spatial scales. The ESPA Delta project is exploring these issues through the lens of ecosystem services and poverty alleviation in the Ganges-Brahmaputra-Meghna Delta case study. The project comprises more than 20 collaborating institutions in UK, Bangladesh, India and China and wide-ranging expertise from governance, to social science to natural science and engineering. The overarching goal is to understand the dynamic link between human well-being and ecosystem services in a changing environment. In addition, the research is conducted in a participatory manner with policy stakeholders (national and local levels) and the ultimate aim is to provide tools and insights which support national and sub-national planning. Hence the diverse strands of the project need to be integrated in a meaningful way, including allowing for the complex interactions and feedback mechanisms which can occur. This presentation provides a overview of the ESPA Deltas project and how it explores concepts in system dynamics and modelling (meta-models and emulators) to provide policy relevant insights about this complex system.