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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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 - 5 of 5

Moseley, Nielsen-Pincus
Wildfire management requires significant institutional organization, a skilled workforce, facilities, and equipment. Sustaining this wildfire response capacity is critical to both agencies and fire-affected communities. Because fire suppression is seasonal and varies…
Year: 2016
Type: Project
Source: FRAMES

Hao, Naughton, Urbanski
An accurate, reliable wildland fire emissions inventory is likely the most important criteria in assessing the impacts of prescribed burning and wildfires on regional air quality and global climate. Significant progress has been made in the past ten years to develop fire…
Year: 2016
Type: Project
Source: FRAMES

Parsons, Dupuy, Jolly, Linn, Mell, Pimont, Rigolot, deColigny
Accurate characterization of stand scale fuel treatment effectiveness is necessary before such treatments can be robustly considered at landscape scales. Fire behavior predictions are key components in evaluating fuel treatments, which may include a mixture of mechanical…
Year: 2016
Type: Project
Source: FRAMES

Reeves
There is a clear need for decision support systems that inform rangeland management strategies to reduce fire hazard and maintain ecological integrity. The RVS is improving that capability but offers outdated depictions of vegetation dynamics (BpS successional models).…
Year: 2016
Type: Project
Source: FRAMES

Reeves
The FVS is currently incapable of estimating succession, biomass and fuels of non-forested landscapes, yet decision support models such as the Interagency Fuels Treatment Decision Support System (IFT-DSS) require this information. In response, we propose development of the…
Year: 2016
Type: Project
Source: FRAMES