Changes to climate, management, land-use, and disturbances are altering the structure and distribution of forests via changes to demography (growth, recruitment, mortality), affecting forest productivity, carbon storage, and sequestration capacity. Many observations indicate reduced growth and increased tree mortality rates due to increasing disturbances and droughts, reducing forest carbon stocks. However, there is high uncertainty in the direction and magnitude of tree growth, mortality, and recruitment trends. Innovations in modeling and synthesis of observational networks are needed to predict demography and consequences for forest carbon across scales. This session will focus on research that characterizes, forecasts, and quantifies uncertainty around forest demographic processes, drivers of change, and consequences for forest carbon. We welcome all submissions using ground-based observations, remote sensing, and modeling across spatial scales and temporal scales to characterize drivers of forest demography and forest carbon, especially those that use novel approaches, combine data sources, and quantify long-term trends.

• GC - Global Environmental Change