Session Coordinators: Carrie Monohan, California State University, Chico and Mooretown Rancheria of Maidu Indians; and Karen Pope, Retired Pacific Southwest Research Station USDA

 

Process-based restoration involves restoring a sites’ ability to withstand and recover from disturbance, also known as ecosystem resiliency. Measuring ecosystem resiliency with metrics using geospatial data, landscape pattern analysis and simulation modeling to evaluate ecosystem resilience at management scales is needed to operationalize the concepts of process-based restoration. Ideally managers are able to measure ecological resilience of current conditions and project resilience under future scenarios after restoration. As process-based restoration projects are implemented, and as they include upland management, how we measure near and long-term metrics of success will enable us to learn what techniques work best as well as well as what site conditions are best suited for process-based restoration. This session invites examples that include using remote sensing tools, chrono sequences, citizen science models and traditional ecological knowledge to evaluate process-based restoration success.