Fall Meeting 2022

December 12 - 16, 2022

Emergent spatial and temporal patterns in models and observations of terrestrial ecosystems repeatedly hint at simpler aggregate responses within the complexity of their carbon, water, energy and nutrient cycles; knowledge of these can accelerate our capacity to advance understanding of the terrestrial biosphere, its resilience to extreme events and anthropogenic activities, and to eliminate plausible but inaccurate representations. We are entering an era of increasingly informative Earth observations and increasingly sophisticated models of terrestrial ecosystems, but the combined power of new models and observations is just being tapped. This session focuses on the identification of modes and function emerging from terrestrial ecosystem carbon models, observations and model-data integration approaches, with the aim to advance fundamental understanding of terrestrial ecosystem function, structure and dynamics, land cover and disturbance. Submissions highlight recent progress on a range of themes spanning from emergent behavior in biospheric process models, advance the predictability of forest dynamics under climate change, model emulation and optimal model complexity theory to corresponding emergent patterns in space-borne, airborne and in-situ measurements of ecosystem function, structure and dynamics.