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Research and Publications Database

The NRFSN research and publications database leads users to regionally relevant fire science. There are nearly 4,000 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, which provides access to webinars, videos, podcasts, and seminars.

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.

212 results


Select a Topic, and the sub-topic terms will appear.

A new global sensitivity analysis has been conducted of fuel-type-dependent input variables of the simplified physical fire spread model (PhyFire) to understand how the use of spatial averages, that is, fuel models, influences the results of PhyFire with a view to enhancing its understanding and improving its design. The model’s...
Author(s): María Isabel Asensio-Sevilla, M. Teresa Santos-Martín, David Álvarez-León, Luis Ferragut-Canals
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
The 3D structure of a fire front propagating through a homogeneous porous solid-fuel layer was studied numerically at laboratory and field scales. At laboratory scale, wind-tunnel fires propagating through laser-cut cardboard fuel were numerically reproduced, while at field scale, simulations of grassland fires with quasi-infinite...
Author(s): N. Frangieh, Gilbert Accary, D. Morvan, Sofiane Meradji, Oleg Bessonov
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
The objective of this work is to illustrate how to algorithmically integrate Machine-Learning Algorithms (MLA's) with multistage/multicomponent fire spread models. In order to tangibly illustrate this process, this work develops a framework for a specific model problem combining: (I) a meshless discrete element 'submodel' that...
Author(s): T. J. Zohdi
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Wildfire affects landscape ecohydrologic processes through feedbacks between fire effects, vegetation growth and water availability. Despite the links between these processes, fire is rarely incorporated dynamically into ecohydrologic models, which couple vegetation growth with water and nutrient fluxes. This omission has the...
Author(s): Ryan R. Bart, Maureen C. Kennedy, Christina Tague, Donald McKenzie
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Nine multipurpose silvicultural treatments, formulated as a synthesis of recently implemented prescriptions offered by forest managers, were simulated to evaluate their effectiveness at enhancing fire resistance. The Forest Vegetation Simulator was applied, within the BioSum Framework, on over 3,000 Forest Inventory and Analysis...
Author(s): Theresa B. Jain, Jeremy S. Fried, Sara Loreno
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
For the physical model of wildland fire spread, errors or discrepancies in the prediction of spread rate may arise from uncertain, imprecise or improper determinations of the model parameters due to unreasonable assumptions, rough approximations, or inaccurate measurements. In this study, a parametric uncertainty analysis is made on...
Author(s): Xieshang Yuan, Naian Liu, Xiaodong Xie, Domingos Xavier Viegas
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Fire is a powerful ecological and evolutionary force. Animals that modify drivers of fire behaviour could therefore have far-reaching effects on ecosystems. Yet, with a few notable exceptions, effects of animals on fire have been often overlooked. We show how animals can affect fire behaviour by modifying the amount, structure, or...
Author(s): Claire N. Foster, Sam C. Banks, Geoffrey J. Cary, Christopher N. Johnson, David B. Lindenmayer, Leonie E. Valentine
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Wildfires are exorbitantly cataclysmic disasters that lead to the destruction of forest cover, wildlife, land resources, human assets, reduced soil fertility and global warming. Every year wildfires wreck havoc across the globe. Therefore, there is a need of an efficient and reliable system for real-time wildfire monitoring to...
Author(s): Harkiran Kaur, Sandeep K. Sood
Year Published: 2020
Type: Document : Book or Chapter or Journal Article
Research Highlights: The impact of variation in fuels and fuel dynamics among forest cover types on the outcome of fuel treatments is poorly understood. This study investigated the potential effects of treatment placement with respect to cover type on the development of potential fire behavior over time for 48 km2 of forest in...
Author(s): Seth A. Ex, Justin P. Ziegler, Wade T. Tinkham, Chad M. Hoffman
Year Published: 2019
Type: Document : Book or Chapter or Journal Article
Wildfires cause substantial environmental and socioeconomic impacts and threaten many Spanish forested landscapes. We describe how LiDAR-derived canopy fuel characteristics and spatial fire simulation can be integrated with stand metrics to derive models describing fire behaviour. We assessed the potential use of very-low-density...
Author(s): Jeremy Arkin, Nicholas C. Coops, Txomin Hermosilla, Lori D. Daniels, Andrew Plowright
Year Published: 2019
Type: Document : Book or Chapter or Journal Article

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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).