The Center for Forest Disturbance Science (SRS-RWU-4156) focuses on the study of disturbance processes across scales and their risk of occurrence in order to develop innovative management strategies for reducing vulnerability of ecosystems to degradation. Learn more about us →
News & Events
Predicting fire behavior is complicated. Current modeling tools work to balance the interplay between many different factors including weather conditions and vegetation structure. Yet these tools are often underutilized because they require high-performance computing resources. Rodman Linn from the Los Alamos National Laboratory, with expertise from SRS researchers Scott Goodrick and Joe O’Brien and additional colleagues, developed a tool called QUIC-Fire that can rapidly predict complex fire behavior.
- The “efficiency concernn”: Exploring wildfire risk on heirs’ property in Macon‑Bibb County, Georgia, United States of America
Aragon, Amanda ; Johnson Gaither, Cassandra ; Madden, Marguerite ; Goodrick, Scott
- Temperature affects hatching success of cocoons in the invasive Asian earthwork Amynthas agrestis from the southern Appalachians
Blackmon IV, James H.; Taylor, Melanie K.; Carrera-Martinez, Roberto ; Snyder, Bruce A.; Callaham Jr., Mac A.
- Photo guide for estimating fuel loading in the Southern Appalachian Mountains
Coates, T. Adam; Waldrop, Thomas A.; Hutchinson, Todd F.; Mohr, Helen H.
- Maximizing the monitoring of diversity for management activities: Additive partitioning of plant species diversity across a frequently burned ecosystem
Dell, Jane E.; Pokswinski, Scott M.; Richards, Lora A.; Hiers, J. Kevin; Williams, Brett ; O’Brien, Joseph J.; Loudermilk, E. Louise; Hudak, Andrew T.; Dyer, Lee A.
- Interaction diversity maintains resiliency in a frequently disturbed ecosystem
Dell, Jane E.; Salcido, Danielle M.; Lumpkin, Will ; Richards, Lora A.; Pokswinski, Scott M.; Loudermilk, E. Louise; O'Brien, Joseph J.; Dyer, Lee A.