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A JFSP Fire Science Exchange Network
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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 4,800 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 Webinars & Recorded Media Archive, which provides access to webinars, videos, podcasts, storymaps, 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.

4916 results


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Forests store significant quantities of carbon, and accurate quantification of the fate of this carbon after fire is necessary for global carbon accounting. Pyrogenic carbon (PyC) encompasses various carbonaceous products of incomplete combustion formed during fires and has potential to act as a carbon sink for up to millennia, but...
Author(s): Alexandra Howell, Mario Bretfeld, Erica Belmont
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Insect pollinators, especially bees, are an essential component ecosystem function. Native bees provide key ecosystem services and shape the structure and composition of plant communities. However, recent research suggests a large-scale decline in bee populations, compelling the need for further research of the drivers and...
Author(s): Ryleigh V. Gelles, Thomas S. Davis, Camille Stevens-Rumann, Kevin J. Barrett
Year Published: 2021
Type: Document : Technical Report or White Paper
An automated burned area extraction routine that attempts to overcome the particular difficulties of remote sensing applications in complex landscapes is presented and tested in the mountainous region of northwest Yunnan, China. In particular, the lack of burned samples to use for training and testing, the rugged relief, the small...
Author(s): David Fornacca, Guopeng Ren, Wen Xiao
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Wildfire size and frequency have increased in the western United States since the 1950s, but it is unclear how seeding treatments have altered fire regimes in arid steppe systems. We analyzed how the number of fires since 1955 and the fire return interval and frequency between 1995 and 2015 responded to seeding treatments,...
Author(s): Chris Bowman-Prideaux, Beth A. Newingham, Eva K. Strand
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Expert opinion can be a valuable tool for informed decision making. Concerning wildfire susceptibility reduction at the landscape scale, forest ecosystem experts play a key role in offering advice about appropriate fuel management practices to be applied by forest owners or their organizations, and in shaping public policies. A...
Author(s): Ana Martins, Ana Novais, José L. Santos, Maria João Canadas
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Treed peatlands exhibit both crown and smouldering fire potential; however, neither are included in Canadian wildfire management models and, as such, they are not formally represented in management decision-making. The lack of smouldering fire risk assessment is a critical research gap as these fires can represent heavy resource...
Author(s): Sophie L. Wilkinson, A. K. Furukawa, B. Mike Wotton, James M. Waddington
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
A 30 × 30m-resolution gridded dataset of forest plot identifiers was developed for the conterminous United States (CONUS) using a random forests machine-learning imputation approach. Forest plots from the US Forest Service Forest Inventory and Analysis program (FIA) were imputed to gridded c2014 landscape data provided by the...
Author(s): Karen L. Riley, Isaac C. Grenfell, Mark A. Finney, Jason M. Wiener
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Daily, fine-scale spatially explicit wildland fire occurrence prediction (FOP) models can inform fire management decisions. Many different data-driven modelling methods have been used for FOP. Several studies use multiple modelling methods to develop a set of candidate models for the same region, which are then compared against one...
Author(s): Nathan Phelps, Douglas G. Woolford
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Water supply impairment from increased contaminant mobilization and transport after wildfire is a major concern for communities that rely on surface water from fire-prone watersheds. In this article we present a Monte Carlo simulation method to quantify the likelihood of wildfire impairing water supplies by combining stochastic...
Author(s): Benjamin Gannon, Yu Wei, Matthew P. Thompson, Joe H. Scott, Karen C. Short
Year Published: 2021
Type: Document : Book or Chapter or Journal Article
Pile burning is the most common method of logging residue disposal in Rocky Mountain forests. Though the high temperatures reached during burning affect numerous soil properties in the short term, the longer-term effects of the practice are less clear. We previously identified a 50-year time series of burn scars created after clear...
Author(s): Charles C. Rhoades, Timothy S. Fegel, Tahir Zaman, Paula J. Fornwalt, Susan Miller
Year Published: 2021
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).