The sagebrush steppe is one of North America’s most extensive and threatened ecosystems, experiencing accelerating transformation driven by wildfire, invasion, and climate variability. Addressing these challenges requires new integrative approaches that combine ecological understanding with advances in sensing, computation, and modeling.

This session explores the emerging concept of digital twins for sagebrush steppe ecosystems, focusing on how data-driven and physics-informed models can replicate, monitor, and predict ecosystem dynamics under fire disturbance regimes. We aim to bring together researchers across informatics, biogeosciences, surface processes, global change, and natural hazards to advance the acquisition, analysis, and interpretation of environmental data in rangeland systems. 

This session emphasizes interdisciplinary collaboration and translational impact, linking fundamental ecological processes with emerging computational methods to support adaptive management of fire-prone landscapes. We welcome contributions that connect (IN), (B), (EP), (GC) and (NH) spanning: data acquisition and processing, modeling and digital twins, ecosystem dynamics, and decision support applications.

• B - Biogeosciences
• EP - Earth and Planetary Surface Processes
• GC - Global Environmental Change
• NH - Natural Hazards