Aim: Revealing patterns of temporal biodiversity change is an urgent issue in light of the effects of global climate change. In addition, climate change is known to modify not only biodiversity but also individual life-history. Nevertheless, although the connection between individual physiology and large-scale ecological patterns is a major challenge for the mechanistic understanding of macroecology, large gaps exist between individual life-history and biodiversity. In this context, novel methods can be used to evaluate changes in individual properties and their effects on biodiversity. Innovation: Novel indices that can evaluate compositional shifts across time by explicitly considering the contributions of the life-histories (i.e., growth, mortality, and recruitment) of individuals in a community were successfully developed. By applying subset data of the Forest Inventory and Analysis database for the state of Rhode Island in the USA, changes in the contribution of individual life-histories to biodiversity change were successfully identified. Main conclusions: The development of the proposed novel indices not only represents methodological progress in community ecology and macroecology but also a conceptual advance, bridging studies of biodiversity and individual life-history and physiology. The individual-based diversity index opens the door to the possibility of individual-based biodiversity science, which could facilitate understanding the comprehensive effects of climate change across different hierarchies of biological organisation.