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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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

Nowell, McCaffrey, Steelman
Failures in effective communication and coordination within the network of responding organizations and agencies during a wildfire can lead to problematic or dangerous outcomes. Although risk assessment and management concepts are usually understood with regards to biophysical…
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 The RVS is improving that capability but offers outdated depictions of vegetation dynamics (BpS successional models).…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

Black, Fox, Gabor, Thomas, Ziegler
Managing wildland fire is an exercise in risk perception, sense-making and resilient performance. Risk perception begins with individual size up to determine a course of action, and becomes collective as the fire management team builds and continuously updates their common…
Year: 2016
Type: Project
Source: FRAMES

Rorig, Bothwell
Dry thunderstorms are a major source of wildfires, and are disproportionately responsible for igniting major wildfires, yet currently dry thunderstorm predictions at high spatial resolutions are unavailable for most of the country. We propose development of improved dry…
Year: 2010
Type: Project
Source: FRAMES

Miller, Ager, Finney
This project builds on and extends the completed work from JFSP project #01-1-1-05 to compare and evaluate burn probability (BP) models, and incorporate these into a risk analysis framework. During that JFSP project, the GIS model BurnPro was developed and used to estimate…
Year: 2010
Type: Project
Source: FRAMES