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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
Type
Topic
Year
Displaying 26 - 50 of 101
York, Bhatt, Thoman, Ziel
Despite the low temperatures and short growing seasons of northern ecosystems, wildland fire is the dominant ecological disturbance in the boreal forest, the world’s largest terrestrial biome. Wildland fire also affects adjacent tundra regions. This sidebar, with a focus on the…
Year: 2018
Type: Document
Source: FRAMES
Rossa, Fernandes
Predicting wind-driven rate of fire spread (RoS) has been the aim of many studies. Still, a field-tested model for general use, regardless of vegetation type, is currently lacking. We develop an empirical model for wind-aided RoS from laboratory fires (n = 216), assuming that it…
Year: 2018
Type: Document
Source: FRAMES
Hoffman, Sieg, Linn, Mell, Parsons, Ziegler, Hiers
As scientists and managers seek to understand fire behavior in conditions that extend beyond the limits of our current empirical models and prior experiences, they will need new tools that foster a more mechanistic understanding of the processes driving fire dynamics and effects…
Year: 2018
Type: Document
Source: FRAMES
Manzello, Blanchi, Gollner, Gorham, McAllister, Pastor, Planas, Reszka, Suzuki
Large outdoor fires present a risk to the built environment. Wildfires that spread into communities, referred to as Wildland-Urban Interface (WUI) fires, have destroyed communities throughout the world, and are an emerging problem in fire safety science. Other examples are large…
Year: 2018
Type: Document
Source: FRAMES
Morvan, Accary, Meradji, Frangieh, Bessonov
A 3D multi-physical model referred to as 'FireStar3D' has been developed in order to predict the behavior of wildfires at a local scale (<500 m). In the continuity of a previous work limited to 2D configurations, this model consists of solving the conservation equations of…
Year: 2018
Type: Document
Source: FRAMES
Gustenyov, Akafuah, Salaimeh, Finney, McAllister, Saito
The paper reports visualization of the flow of smoke over a flat surface inside of a low-speed wind tunnel. A heating plate flush mounted on the wind tunnel floor simulated a spreading line fire that produces uniform heat flux under constant wind speed condition. A paper-thin…
Year: 2018
Type: Document
Source: FRAMES
Demonstration of the Tinker Tree Derby with different shaped tree crowns.
Year: 2018
Type: Media
Source: FRAMES
Demonstration of the Matchstick Forest Model with different stand densities.
Year: 2018
Type: Media
Source: FRAMES
Demonstration of the Matchstick Forest Model with different slopes.
Year: 2018
Type: Media
Source: FRAMES
Erni, Arseneault, Parisien
Although it has long been assumed that wildfire occurrence is independent of stand age in the North American boreal forest, recent studies indicate that young forests may influence burn rates by limiting the ignition and spread of fires for several years. Wildfires not only…
Year: 2018
Type: Document
Source: FRAMES
Węgrzyński, Lipecki, Krajewski
The requirement to model wind is inherently connected with the modelling of many fire-related phenomena. With its defining influence on fire behaviour, spread and smoke transport, the solution of a problem with and without wind exposure will lead to substantially different…
Year: 2018
Type: Document
Source: FRAMES
Węgrzyński, Lipecki
Wind and fire phenomena can together be a devastating force, whether in the case of a building fire, release of smoke in an urban area or forest fire near an urban habitat. Most of the fire phenomena are influenced by the wind, usually for the worse. If we want to understand…
Year: 2018
Type: Document
Source: FRAMES
Podschwit, Guttorp, Larkin, Steel
Wildfire behaviors are complex and are of interest to fire managers and scientists for a variety of reasons. Many of these important behaviors are directly measured from the cumulative burn area time series of individual wildfires; however, estimating cumulative burn area time…
Year: 2018
Type: Document
Source: FRAMES
This video is an introduction on how to manage wildland fuels. The objectives of this video are to: 1) Define wildland fuel management; 2) Explain how fuels are modified; 3) Describe some common desired outcomes; 4) Introduce fuel management in the Wildland Urban Interface; 5)…
Year: 2018
Type: Media
Source: FRAMES
Felsberg, Kloster, Wilkenskjeld, Krause, Lasslop
In global fire models, lightning is typically prescribed from observational data with monthly mean temporal resolution while meteorological forcings, such as precipitation or temperature, are prescribed in a daily resolution. In this study, we investigate the importance of the…
Year: 2018
Type: Document
Source: FRAMES
Bahrani, Hemmati, Zhou, Quarles
Fire-retardant coatings could be one option for providing enhanced protection to buildings during a wildfire, particularly when applied to combustible siding and in under‐eave areas. Limited studies have been conducted on their effectiveness but maintaining adequate performance…
Year: 2018
Type: Document
Source: FRAMES
Srock, Charney, Potter, Goodrick
Fire weather indices are commonly used by fire weather forecasters to predict when weather conditions will make a wildland fire difficult to manage. Complex interactions at multiple scales between fire, fuels, topography, and weather make these predictions extremely difficult.…
Year: 2018
Type: Document
Source: FRAMES
Greebe
With all of the tools, supplies and gear that fire managers need, the last thing you would expect them to take to a wildfire is a book. But Steve Taylor’s little red book, Field Guide to the Canadian Forest Fire Behavior Prediction (FBP) System, has been part of fire manager and…
Year: 2018
Type: Document
Source: FRAMES
Abatzoglou, Williams, Boschetti, Zubkova, Kolden
Climate shapes geographic and seasonal patterns in global fire activity by mediating vegetation composition, productivity, and desiccation in conjunction with land‐use and anthropogenic factors. Yet, the degree to which climate variability affects interannual variability in…
Year: 2018
Type: Document
Source: FRAMES
Potter
The Haines Index is used in wildland fire management to evaluate the potential for ‘large and/or erratic' fire behaviour. Published in 1988 as the Lower Atmospheric Severity Index, it was widely adopted and has become popular among fire managers, especially in the United States…
Year: 2018
Type: Document
Source: FRAMES
Yedinak, Strand, Hiers, Varner
Wildland fire behavior research has largely focused on the steady-state interactions between fuels and heat fluxes. Contemporary research is revealing new questions outside the bounds of this simplified approach. Here, we explore the complex interactions taking place beyond…
Year: 2018
Type: Document
Source: FRAMES
Potter
As a pervasive disturbance agent operating at many spatial and temporal scales, wildland fire is a key abiotic factor affecting forest health both positively and negatively. In some ecosystems, for example, wildland fires have been essential for regulating processes that…
Year: 2018
Type: Document
Source: FRAMES
The annual national report of the Forest Health Monitoring (FHM) Program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multi-State regional perspective using a variety of sources, introduces new techniques for…
Year: 2018
Type: Document
Source: FRAMES
Abatzoglou, Balch, Bradley, Kolden
Large wildfires (>40 ha) account for the majority of burned area across the contiguous United States (US) and appropriate substantial suppression resources. A variety of environmental and social factors influence wildfire growth and whether a fire overcomes initial attack…
Year: 2018
Type: Document
Source: FRAMES
Barnes, Butteri, DeVelice, Howard, Hrobak, Loehman, Lojewski, Martin, Miller, Rowe, St. Clair, Saperstein, Schulz, Sorbel, Wahrenbrock, Weddle, York, Ziel
The Fuel Model Guide to Alaska Vegetation (Cella et al. 2008) was developed by an interagency team of fire practitioners and vegetation mappers/specialists in 2008. It crosswalked vegetation types described in the Alaska Vegetation Classification (Viereck et al. 1992) with the…
Year: 2018
Type: Document
Source: FRAMES