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Research and Publications Database

The NRFSN research and publications database leads users to regionally relevant fire science. There are more than 2,200 documents, which have been carefully categorized by the NRFSN to highlight topics and ecosystems important in the Northern Rockies Region. Categorized resources include records from the Joint Fire Science Program (JFSP), Fire Research and Management Exchange System (FRAMES), and Fire Effects Information System (FEIS).

Note: Additional Northern Rockies fire research is available from our Webinar & Video Archive.

Hints: By default, the Search Terms box reads and searches for terms as if there were AND operators between them. To search for one or more terms, use the OR operator. Use quotation marks around phrases or to search for exact terms. To maximize the search function, use the Search Terms box for other information (e.g. author(s), date, species of interest, additional fire topics) together with the topic, ecosystem, and/or resource type terms from the lists. Additional information is available in our documents on topics, ecosystems, and types.

315 results

We use the simulation model Envision to analyze long-term wildfire dynamics and the effects of different fuel management scenarios in central Oregon, USA. We simulated a 50-year future where fuel management activities were increased by doubling and tripling the current area treated while retaining existing treatment strategies in...
Author(s): Ana M. G. Barros, Alan A. Ager, Michelle A. Day, Haiganoush K. Preisler, Thomas A. Spies, Eric M. White, Robert J. Pabst, Keith A. Olsen, Emily K. Platt, John D. Bailey, John P. Bolte
Year Published: 2017
Type: Document : Book or Chapter or Journal Article
Wildfire area is predicted to increase with global warming. Empirical statistical models and process-based simulations agree almost universally. The key relationship for this unanimity, observed at multiple spatial and temporal scales, is between drought and fire. Predictive models often focus on ecosystems in which this...
Author(s): Donald McKenzie, Jeremy S. Littell
Year Published: 2017
Type: Document : Book or Chapter or Journal Article
Restoration treatments in dry forests of the western US often attempt silvicultural practices to restore the historical characteristics of forest structure and fire behavior. However, it is suggested that a reliance on non-spatial metrics of forest stand structure, along with the use of wildland fire behavior models that lack the...
Author(s): J. Ziegler, Chad M. Hoffman, Michael A. Battaglia, William E. Mell
Year Published: 2017
Type: Document : Book or Chapter or Journal Article
Before fire models can be understood, evaluated, and effectively applied to support decision making, model-based uncertainties must be analyzed. In this chapter, we identify and classify sources of uncertainty using an established analytical framework, and summarize results graphically in an uncertainty matrix. Our analysis...
Author(s): Karen L. Riley, Matthew P. Thompson
Year Published: 2017
Type: Document : Book or Chapter or Journal Article
Wildland fires, especially wildfires, are not commonly thought of as fuel treatments; however, because fires consume fuels and alter vegetation structure, they can serve as fuel treatments similar to more traditional means (e.g., mechanical or prescribed fire). To consider previously burned areas when managing subsequent fires,...
Author(s): Sean A. Parks, Corey L. Gucker
Year Published: 2016
Type: Document : Research Brief or Fact Sheet
The National Wildfire Coordinating Group’s definition of extreme fire behavior indicates a level of fire behavior characteristics that ordinarily precludes methods of direct control action. One or more of the following is usually involved: high rate of spread, prolific crowning/ spotting, presence of fire whirls, and strong...
Author(s): Paul A. Werth, Brian E. Potter, Martin E. Alexander, Miguel G. Cruz, Craig B. Clements, Mark A. Finney, Jason M. Forthofer, Scott L. Goodrick, Chad M. Hoffman, William Matt Jolly, Sara S. McAllister, Roger D. Ottmar, Russell A. Parsons
Year Published: 2016
Type: Document : Synthesis, Technical Report or White Paper
A lengthening of the fire season, coupled with higher temperatures, increases the probability of fires throughout much of western North America. Although regional variation in the frequency of fires is well established, attempts to predict the occurrence of fire at a spatial resolution <10 km2 have generally been unsuccessful. We...
Author(s): Richard H. Waring, Nicholas C. Coops
Year Published: 2016
Type: Document : Book or Chapter or Journal Article
Fire danger and potential for large fires in the United States (US) is currently indicated via several forecasted qualitative indices. However, landscape-level quantitative forecasts of the probability of a large fire are currently lacking. In this study, we present a framework for forecasting large fire occurrence – an extreme...
Author(s): Haiganoush K. Preisler, Karen L. Riley, Crystal S. Stonesifer, David E. Calkin, William Matt Jolly
Year Published: 2016
Type: Document : Book or Chapter or Journal Article
Wildfire behavior is a complex and stochastic phenomenon that can present unique tactical management challenges. This paper investigates a multistage stochastic mixed integer program with full recourse to model spatially explicit fire behavior and to select suppression locations for a wildland fire. Simplified suppression decisions...
Author(s): Erin J. Belval, Yu Wei, Michael Bevers
Year Published: 2016
Type: Document : Book or Chapter or Journal Article
Wood cribs are often used as ignition sources for room fire tests and the well characterized burning rates may also have applications to wildland fires. The burning rate of wildland fuel structures, whether the needle layer on the ground or trees and shrubs themselves, is not addressed in any operational fire model and no simple...
Author(s): Sara S. McAllister, Mark A. Finney
Year Published: 2016
Type: Document : Book or Chapter or Journal Article

Pages

These resources are compiled in partnership with the Joint Fire Science Program (JFSP), Fire Research and Management Exchange System (FRAMES), and Fire Effects Information System (FEIS).