Integrating Forests, Fish, and Fire 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 post-fire population persistence for stream fish. The purpose of the model is to evaluate alternative vectors for maximizing the resilience to future fire activity of forest stands supporting sensitive stream fish, such as bull trout (Salvelinus confluentus).
At this time IF3 are “alpha-level” Bayesian belief networks (Marcot 2006) and 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 purpose of this webpage is to provide an introduction to IF3, including documentation of model architecture and behavior, and highlight applications of the model that are part of the model development process.