Characterization and monitoring of forest productivity and structure are crucial for understanding current and future forest conditions and carbon stocks. Ecological modeling and remote sensing have independently, and for decades, become increasingly important tools underpinning scientific knowledge of the dynamics of natural forests and our understanding of the long-term fate of forests as they relate to environmental processes at multiple scales: from local (e.g. succession, disturbance driven mortality, anthropogenic affects) to the global (e.g. terrestrial feedbacks in the climate system, carbon flux). Whereas remotely sensed datasets have allowed for spatial extrapolation of these dynamics, ecological modeling has improved the temporal prognostication of forest dynamics. We seek studies that relate the importance of ecological modeling and/or remote sensing of forested systems, as it pertains to the advancement of our knowledge of forest dynamics through space and time.