A study of the socio-economic situations of three villages in north-eastern Andhra Pradesh shows that while times and values have vastly changed, not much has been transformed in terms of privileges and opportunities. Those belonging to landowning families have managed to get a good education and secure good jobs or set up businesses. But those from the landless or marginal landowning families and communities have been left far behind. The government’s schemes and promises have more often than not yielded very little.

The goal of preserving nature is often in conflict with economic development and the aspirations of the rural poor. Nowhere is this more striking than in native grasslands, which have been extensively converted until a mere fraction of their original extent remains. This is not surprising; grasslands flourish in places coveted by humans, primed for agriculture, plantations, and settlements that nearly always trump conservation efforts.

The uncertainty associated with predicting extreme weather events has serious implications for the developing world, owing to the greater societal vulnerability to such events. Continual exposure to unanticipated extreme events is a contributing factor for the descent into perpetual and structural rural poverty. We provide two examples of how probabilistic environmental prediction of extreme weather events can support dynamic adaptation. In the current climate era, we describe how short-term flood forecasts have been developed and implemented in Bangladesh.