In seeking to understand how future societies will be affected by climate change we cannot simply assume they will be identical to those of today, because climate and societies are both dynamic. Here we propose that the concept of demographic metabolism and the associated methods of multidimensional population projections provide an effective analytical toolbox to forecast important aspects of societal change that affect adaptive capacity. We present an example of how the changing educational composition of future populations can influence societies' adaptive capacity. Multi-dimensional population projections form the human core of the Shared Socioeconomic Pathways scenarios, and knowledge and analytical tools from demography have great value in assessing the likely implications of climate change on future human well-being.
3Assessing the likely impacts of climate change on future human well-being requires a combination of two kinds of forecasts: how the climate of the future will be different from that of today; and how humans and there societies in the future will differ in terms of numbers, regional distributions, age structures and, most importantly, their capacities to successfully adapt to changing climatic conditions. This includes capacities at multiple levels from individual, to household, community and national level as well as the associated qualities of institutions and levels of economic development. Much work has been carried out in terms of modelling the future climatic conditions 1-3 , but very little has been done for modelling the future socioeconomic conditions. Successful adaptation is also dependent on the qualities of institutions and levels of economic development. In this Perspective, we discuss recent progress in the latter field, especially in the demographic metabolism model and illustrate the potential of multi-dimensional demographic methods for forecasting societies' adaptive capacities to climate change.The Working Group II contribution to the IPCC Fifth Assessment Report appropriately summarizes what was the state of the art on this issue: "Most scenario-based assessments superimpose biophysical 'futures' onto present-day socioeconomic conditions." 4 . While this