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The Alaska Reference Database originated as the standalone Alaska Fire Effects Reference Database, a ProCite reference database maintained by former BLM-Alaska Fire Service Fire Ecologist Randi Jandt. It was expanded under a Joint Fire Science Program grant for the FIREHouse project (The Northwest and Alaska Fire Research Clearinghouse). It is now maintained by the Alaska Fire Science Consortium and FRAMES, and is hosted through the FRAMES Resource Catalog. The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

Displaying 1 - 25 of 113

Episode 3 of the Fire Danger Learning System describes the dataflow of weather data into the various databases and processors that provide fire danger calculations for the US National Fire Danger Rating System.
Year: 2016
Type: Media
Source: FRAMES

Episode 2 of the Fire Danger Learning Series discussing the forthcoming 2016 revision to the US National Fire Danger Rating System.
Year: 2016
Type: Media
Source: FRAMES

Lutes
FOFEM - A First Order Fire Effects Model - is a computer program that was developed to meet needs of resource managers, planners, and analysts in predicting and planning for fire effects. Quantitative predictions of fire effects are needed for planning prescribed fires that best…
Year: 2016
Type: Document
Source: FRAMES

Pimont, Parsons, Rigolot, deColigny, Dupuy, Dreyfus, Linn
Scientists and managers critically need ways to assess how fuel treatments alter fire behavior, yet few tools currently exist for this purpose. We present a spatially-explicit-fuel-modeling system, FuelManager, which models fuels, vegetation growth, fire behavior (using a…
Year: 2016
Type: Document
Source: TTRS

Fischer, Spies, Steelman, Moseley, Johnson, Bailey, Ager, Bourgeron, Charnley, Collins, Kline, Leahy, Littell, Millington, Nielsen-Pincus, Olsen, Paveglio, Roos, Steen-Adams, Stevens, Vukomanovic, White, Bowman
Wildfire risk in temperate forests has become a nearly intractable problem that can be characterized as a socioecological 'pathology': that is, a set of complex and problematic interactions among social and ecological systems across multiple spatial and temporal scales.…
Year: 2016
Type: Document
Source: TTRS

Drury, Rauscher, Banwell, Huang, Lavezzo
The Interagency Fuels Treatment Decision Support System (IFTDSS) is a web-based software and data integration framework that organizes fire and fuels software applications into a single online application. IFTDSS is designed to make fuels treatment planning and analysis more…
Year: 2016
Type: Document
Source: TTRS

Balch, Nagy, Archibald, Bowman, Moritz, Roos, Scott, Williamson
Humans use combustion for heating and cooking, managing lands, and, more recently, for fuelling the industrial economy. As a shift to fossil-fuel-based energy occurs, we expect that anthropogenic biomass burning in open landscapes will decline as it becomes less fundamental to…
Year: 2016
Type: Document
Source: TTRS

Steelman
There are fundamental spatial and temporal disconnects between the specific policies that have been crafted to address our wildfire challenges. The biophysical changes in fuels, wildfire behavior, and climate have created a new set of conditions for which our wildfire governance…
Year: 2016
Type: Document
Source: TTRS

Barrett, Loboda, McGuire, Genet, Hoy, Kasischke
Wildfire, a dominant disturbance in boreal forests, is highly variable in occurrence and behavior at multiple spatiotemporal scales. New data sets provide more detailed spatial and temporal observations of active fires and the post-burn environment in Alaska. In this study, we…
Year: 2016
Type: Document
Source: TTRS

Hayasaka, Tanaka, Bieniek
Recent concurrent widespread fires in Alaska are evaluated to assess their associated synoptic-scale weather conditions. Several periods of high fire activity from 2003 to 2015 were identified using Moderate Resolution Imaging Spectroradiometer (MODIS) hotspot data by…
Year: 2016
Type: Document
Source: TTRS

Waring, Coops
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…
Year: 2016
Type: Document
Source: TTRS

A pictorial poster showing many cloud formations and what these clouds mean in regards to fire weather and fire behavior.
Year: 2016
Type: Document
Source: FRAMES

Wei, Rideout, Kirsch, Kernohan
Hazard fuel reduction and wildland fire preparedness programs are two important budgeting components in the US National Park Service strategic wildland fire planning. During the planning process, each national park independently conducts analysis to understand the benefits from…
Year: 2016
Type: Document
Source: FRAMES

Ziel, Kurth, Saperstein
Webinar with Robert (Zeke) Ziel, Laurie Kurth, and Lisa Saperstein. Organized by the Fire Modeling and Analysis Committee. Recorded on May 24, 2016. Robert (Zeke) Ziel: Using FFMC and DMC to assess fuel moisture and use of BUI to help adjust ERC values Laurie Kurth: Some…
Year: 2016
Type: Media
Source: FRAMES

Alden, Strader, Ziel
Alaska Interagency Fall Fire Review | Wedresday, October 12, 2016Presenter: Heidi Strader and Robert Ziel, with input from Sharon Alden
Year: 2016
Type: Media
Source: FRAMES

Breen
Alaska Fire Science Consortium Workshop | Thursday, October 13, 2016Presenter: Amy Breen
Year: 2016
Type: Media
Source: FRAMES

Saltenberger
Alaska Fire Science Consortium Workshop | Thursday, October 13, 2016Presenter: John Saltenberger
Year: 2016
Type: Media
Source: FRAMES

The Wildland Fire Library is a collection of long-term assessments, fire progressions, fire behavior reports, and other documents and resources to support fire modeling and assessment of long-duration fires. Each file is tied to some event with a location, a start date, and…
Year: 2016
Type: Website
Source: FRAMES

Gallacher
Wildland fire behavior research in the last 100 years has largely focused on understanding the physical phenomena behind fire spread and on developing models that can predict fire behavior. Research advances in the areas of live-fuel combustion and combustion modeling have…
Year: 2016
Type: Document
Source: FRAMES

Weise, Fletcher, Mahalingam, McAllister, Shotorban, Jolly
Effect of moisture content and heat flux type on ignition of foliage from 10 live fuels was examined over the course of a year using two apparatuses: a flat-flame burner coupled with a radiant panel and a Forced Ignition and flame Spread Test (FIST) apparatus. Results of the…
Year: 2016
Type: Document
Source: FRAMES

Weise, Fletcher, Jolly, Mahalingam, McAllister, Shotorban
After many years of research examining the ignition of wood and other cellulosic fuels, it is still unclear which modes of heat transfer will result in successful ignition of live wildland fuel particles. Thermal radiation can cause a fuel particle to pyrolyze to produce a…
Year: 2016
Type: Project
Source: FRAMES

Ziel
With updates to the National Fire Danger Rating System (NFDRS) to be implemented over the next two years, fire managers in Alaska and the Lake States need to learn about the most important revisions. Changes to fine fuel moistures estimates in the US systems are already…
Year: 2016
Type: Media
Source: FRAMES

Abrahamson, Innes
The Northern Rockies Fire Science Network and Northwest Fire Science Consortium teamed up with Fire Effects Information System (FEIS) staff to introduce new fire regime products and demonstrate new search functions to inform fire management planning and decision-making in the…
Year: 2016
Type: Media
Source: FRAMES

Belval, Wei, Bevers
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…
Year: 2016
Type: Document
Source: FRAMES, TTRS

Bova, Mell, Hoffman
Simulating an advancing fire front may be achieved within a Lagrangian or Eulerian framework. In the former, independently moving markers are connected to form a fire front, whereas in the latter, values representing the moving front are calculated at points within a fixed grid…
Year: 2016
Type: Document
Source: FRAMES, TTRS