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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 509
Conner, Diehl, Wroblewska, Rowe
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Collier
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Perry, Lotan
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Kirk, Conners, Zeikus
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Shafizadeh, Chin, DeGroot
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Kormanik, Bryan, Schultz
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Regal
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Brotak, Reifsnyder
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Steward, Wuest, Waibel
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Wilson, Brown
Residual char from 76 test burns of wood dowels showed unexpectedly wide variation in density. Variation could not be correlated with initial fuel density, burn time, nor incident windspeed.
Year: 1977
Type: Document
Source: TTRS
Majak, Waldern, McLean
[no description entered]
Year: 1977
Type: Document
Source: TTRS
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Simard, Young
'The Forest Fire Research Institute has been studying the use of air tankers in fire control for several years. The most recent project involves the development of a computer simulation model to determine air tanker productivity (Simard, 1975). As part of that project, an…
Year: 1977
Type: Document
Source: TTRS
Bruner
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Evans, Probasco
[no description entered]
Year: 1977
Type: Document
Source: TTRS
Smith, Sparks, Kolden, Abatzoglou, Talhelm, Johnson, Boschetti, Lutz, Apostol, Yedinak, Tinkham, Kremens
Most landscape-scale fire severity research relies on correlations between field measures of fire effects and relatively simple spectral reflectance indices that are not direct measures of heat output or changes in plant physiology. Although many authors have highlighted…
Year: 2016
Type: Document
Source: TTRS
Smith, Talhelm, Kolden, Newingham, Adams, Cohen, Yedinak, Kremens
A recent study by Davies et al. sought to test whether winter grazing could reduce wildfire size, fire behaviour and intensity metrics, and fire-induced plant mortality in shrub-grasslands. The authors concluded that ungrazed rangelands may experience fire-induced mortality of…
Year: 2016
Type: Document
Source: TTRS
Smith, Kolden, Paveglio, Cochrane, Bowman, Moritz, Kliskey, Alessa, Hudak, Hoffman, Lutz, Queen, Goetz, Higuera, Boschetti, Flannigan, Yedinak, Watts, Strand, van Wagtendonk, Anderson, Stocks, Abatzoglou
Wildland fire management has reached a crossroads. Current perspectives are not capable of answering interdisciplinary adaptation and mitigation challenges posed by increases in wildfire risk to human populations and the need to reintegrate fire as a vital landscape process.…
Year: 2016
Type: Document
Source: TTRS
Episode 3 of the Fire Danger Learning System describes the dataflow of weather data into the various databases and processors that provide fire danger calculations for the US National Fire Danger Rating System.
Year: 2016
Type: Media
Source: FRAMES
Episode 2 of the Fire Danger Learning Series discussing the forthcoming 2016 revision to the US National Fire Danger Rating System.
Year: 2016
Type: Media
Source: FRAMES
Episode #1 of the Fire Danger Learning Series presents the components and indices that compose the US National Fire Danger Rating System.
Year: 2016
Type: Media
Source: FRAMES
Lutes
FOFEM - A First Order Fire Effects Model - is a computer program that was developed to meet needs of resource managers, planners, and analysts in predicting and planning for fire effects. Quantitative predictions of fire effects are needed for planning prescribed fires that best…
Year: 2016
Type: Document
Source: FRAMES
Shakesby, Moody, Martin, Robichaud
Advances in research into wildfire impacts on runoff and erosion have demonstrated increasing complexity of controlling factors and responses, which, combined with changing fire frequency, present challenges for modellers. We convened a conference attended by experts and…
Year: 2016
Type: Document
Source: TTRS