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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

 

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Displaying 1 - 10 of 59

Charcoal preserved in lake sediments, peat, and soils provides a record of past fire occurrence. An understanding of fire history is important in evaluating interactions between vegetation, climate and human disturbances through at least the last...

Person: Patterson, Edwards, Maguire
Year: 1987
Resource Group: Document
Source: FRAMES

A method is proposed for predicting a probabilistic distribution of fire behavior. A fire model gives conditional distributions of the physical fire site parameters one would observe for given fire states. The probabilistic prediction is provided by...

Person: Wilson
Year: 1987
Resource Group: Document
Source: FRAMES, TTRS

Summarizes past efforts to model fire spotting from wildland fires. Explains how Albini's spotting model for wind-driven surfaces was simplified with no loss in accuracy and the resulting model implemented in the BEHAVE fire prediction and fire...

Person: Morris
Year: 1987
Resource Group: Document
Source: FRAMES, TTRS

Remote Automatic Weather Stations (RAWS) were introduced to Forest Service and Bureau of Land Management field units in 1978 following development, test, and evaluation activities conducted jointly by the two agencies. The original configuration was...

Person: Davis, Martin, Warren
Year: 1987
Resource Group: Document
Source: FRAMES

The Forest Fire Advanced System Technology (FFAST) project is developing a data system to provide near-real-time forest fire information to fire management at the fire Incident Command Post (ICP). The completed conceptual design defined an integrated...

Person: Davis, Martin, Nichols, Warren
Year: 1987
Resource Group: Document
Source: FRAMES

This paper presents a vision of the future rooted in consideration of the past 20 years in the smoke and air resource management field. This future is characterized by rapid technological development of computers for computation, communications, and...

Person: Davis, Martin, Riebau, Fox
Year: 1987
Resource Group: Document
Source: FRAMES

Future improvements in the meteorological forecasts used in fire management will come from improvements in three areas: observational systems, forecast techniques, and postprocessing of forecasts and better integration of this information into the fire...

Person: Davis, Martin, Fosberg
Year: 1987
Resource Group: Document
Source: FRAMES

Methods are described for making comparative valuations of future fire (or any other) research efforts when the benefits that result from some of the efforts cannot be described in dollars. The process helps research managers and scientists set...

Person: Davis, Martin, Davis
Year: 1987
Resource Group: Document
Source: FRAMES

Lack of information regarding fire effects is perceived by many fire and resource managers as a barrier to the effective application of prescribed fire. This lack of information, in many instances, is the result of poor diffusion of existing knowledge...

Person: Davis, Martin, Fischer
Year: 1987
Resource Group: Document
Source: FRAMES

Artificial intelligence could be used in Forest Service fire management and land-use planning to a larger degree than is now done. Robots, for example, could be programmed to monitor for fire and insect activity, to keep track of wildlife, and to do...

Person: Davis, Martin, Latham
Year: 1987
Resource Group: Document
Source: FRAMES