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The state of Kerala in India is known for its active civil society and the massive decentralization campaign launched in 1996. However marginalization of tribal communities hampers the state's decentralized environmental management strategies. The proposed construction of a dam along the Chalakkudy River will displace two colonies of the Kadar tribe in Chalakkudy and Athirapilly towns, destroy habitats of local wildlife and devastate unique riverine vegetation endemic to the region. This brings to light issues of social and environmental justice as well as a wider responsibility to protect and preserve unique flora and fauna. The state's decentralization strategies, as they relate to tribal communities, lack consideration of local power distribution and cultural conditioning. This raises questions about the state's role in social justice as well as biodiversity conservation. In 2010 and 2011, the author's interviews in Chalakkudy and Athirapilly towns reveal that tribal communities perceive that their place in society restricts their contribution regarding natural resource management and use. The paper suggests that unless the culture of planning and decision making in the state are changed, decentralized strategies will be ineffective, resulting in a predominately top-down approach towards natural resource management, and will negate Kerala's goal of democratic decentralization. [ABSTRACT FROM AUTHOR]

Dam‐related downstream adjustments of riverbeds are normally investigated by analysing the trend in sediment supply and high flow events during the pre‐ and post‐dam periods. The required data for existing predictive models is not measured at river gauges, which limits the application of these tools. We derived the frequency of sediment‐transporting streamflow events (T*) and upstream sediment supply (S*) in the pre‐ and post‐dam periods with widely available gauged records and predicted changes in the downstream riverbed by adapting an existing model. Ten gauging stations in the Godavari River Basin, India, located downstream of dams, were chosen as study sites. Annually surveyed cross‐sections at each site validated the accuracy of the predicted dam‐related downstream changes. Then, a regression equation (R2 = 0.75) was established between T*/S* (independent variable) and changes in the downstream bed elevation (dependent variable) for the Godavari Basin. We recommended that similar local empirical equations be formulated for larger river basins. Models of large‐scale rainfall‐runoff and sediment transport processes that can account for the influence of dams, such as the Soil & Water Assessment Tool, can be paired with the proposed regression equation to estimate dam‐related downstream erosion and deposition with globally available data. [ABSTRACT FROM AUTHOR]