How are ecosystems and the services they provide going to change in the future? How do human decisions shape this trajectory? In a world confronted with rapid environmental change, the most pressing biogeoscience questions are fundamentally about forecasting. Thanks to recent advances in data availability, modeling, statistical methods, and decision-support, the field is poised for major strides in making biogeoscience processes more predictive at short and long time-scales. Forecasting will not only accelerate scientific progress but also enhance the societal relevance of biogeoscience, especially when forecasts are co-produced with multidisciplinary collaborators and action-oriented users. That said, there are many conceptual and technical challenges to making accurate predictions. Furthering forecast development will require improving theories, models, data assimilation, and uncertainty quantification, targeting data deficiencies, and improving the applicability of forecasts in decision-making. This session highlights theoretical, methodological, and application-based research on forecasting biogeochemistry, biogeophysics, and ecology across terrestrial and aquatic systems.

• GC - Global Environmental Change
• IN - Informatics