Authors: Russell A. Parsons; Francois Pimont; Lucas Wells; Greg Cohn; W. Matt Jolly; "Francois de Coligny; Eric Rigolot; Jean-Luc Dupuy; William Mell; Rod Linn; Chad HoffmanWith forest health in flux, area burned increasing, and often higher fire severity in many ecosystems, fuel treatments are considered an essential part of efforts to mitigate catastrophic fires and restore ecosystem resilience. Understanding fuel treatment effectiveness requires quantifying fuel changes and how they translate to changes in fire behavior over time. As these relationships are dynamic and often interrelated in complex ways, modeling-based evaluation efforts play a key role in such analyses. In this paper, we describe STANDFIRE, a prototype platform for modeling wildland fuels and fire behavior at stand scales. STANDFIRE builds upon a commonly used forest model (FFE-FVS) linking it to state of the art physics-based fire models, providing a more detailed alternative for analysis of how forest structure and composition may affect fire behavior and effects, particularly with respect to fuel treatment effectiveness. STANDFIRE leverages the modular design and architecture of CAPSIS, a forestry modeling system developed in France. Using example data from sites in western Montana, we demonstrate system applications and capabilities. This system fills a key need by providing a pathway for researchers and managers in the US to use real world forest inventory and fuels data in dynamic, 3-D fire simulations.