Alaska Reference Database

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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

 

Filter Results

Year

Person

Displaying 1 - 10 of 4370

Background: The structure and function of fire-prone ecosystems are influenced by many interacting processes that develop over varying time scales. Fire creates both instantaneous and long-term changes in vegetation (defined as live, dead, and...

Person: Loudermilk, O'Brien, Goodrick, Linn, Skowronski, Hiers
Year: 2022
Resource Group: Document
Source: FRAMES

Selecting the optimal locations and timing for prescribed burning is challenging when considering uncertainties in weather, fire behavior, and future fire suppression. In this study, we present a sample average approximation (SAA) based multistage...

Person: Nguyen, Wei
Year: 2022
Resource Group: Document
Source: FRAMES

Fallen plant material such as leaves, needles and branches form litter beds which strongly influence fire ignition and spread. Traits of the dominant species influence litter flammability directly by determining how individual leaves burn and...

Person: Burton, Cawson, Filkov, Penman
Year: 2021
Resource Group: Document
Source: FRAMES

The suggestion has been made within the wildland fire community that the rate of spread in the upper portion of the fire danger spectrum is largely independent of the physical fuel characteristics in certain forest ecosystem types. Our review and...

Person: Cruz, Alexander, Fernandes
Year: 2022
Resource Group: 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 multistate regional perspective using a variety of sources,...

Person: Potter, Conkling
Year: 2022
Resource Group: Document
Source: FRAMES

The Interagency Fuels Treatment Decision Support System (IFTDSS) is a web-based application designed to make fuels treatment planning and analysis more efficient and effective. IFTDSS provides access to data and models, all in one place, through one...

Person: Vaillant
Year: 2020
Resource Group: Media
Source: FRAMES

Some fires are big, but others are reach totally stunningly sizes, really “wow, that’s big.” What drives those fires to become so large, while other fires in seemingly similar conditions do not? I will present results of a project looking at how...

Person: Potter
Year: 2020
Resource Group: Media
Source: FRAMES

Wildland fires occupy the biosphere as both an ecological process essential for maintaining species diversity and a hazard to human lives, infrastructure and activities. Fire managers’ ability to anticipate fire behavior is key to maximizing ecological...

Person: Yedinak
Year: 2020
Resource Group: Media
Source: FRAMES

Technosyva is a company of 50 professionals based in San Diego and in Leon, Spain. Since 1997 we focused on developing technology and applications for the wildland fire community, with a strong partnership with research institutions worldwide, and...

Person: Ramírez
Year: 2021
Resource Group: Media
Source: FRAMES

A microscale wildfire model (QES-Fire), which dynamically couples the fire front to microscale winds, was developed utilizing a simplified physics rate of spread (ROS) model, a kinematic plume-rise model and a mass-consistent diagnostic wind solver....

Person: Moody
Year: 2021
Resource Group: Media
Source: FRAMES