Integrating Forests, Fish, and Fire (IF3) is a Bayesian decision-support model that uses information on forest vegetation, human alterations to terrestrial and aquatic habitat condition, and the potential for fire-related disturbance to predict the post-fire persistence of stream fish populations. The model's purpose is to evaluate alternative vectors for maximizing the resilience to future fire activity of forest stands that support sensitive stream fish, such as bull trout (Salvelinus confluentus). At this time, IF3 are “alpha-level” Bayesian belief networks (Marcot 2006) that have undergone limited external peer review. These models are the product of collaboration among project investigators, based on their experience in the fields of fish population ecology, hydrology, forest ecology, fire ecology, and post-fire disturbance processes. This collaboration was sponsored by the Joint Fire Sciences Program.
The IF3 models differ in the ways that fire is simulated. Managers can simulate large, high-severity fire events that are statistically unlikely but of greatest concern.