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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 1 - 25 of 137
le Maitre
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Brown, Murphy
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Rehfeldt
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Tait, Cieszewski, Bella
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Cairns
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Peterson
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Deeming
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Schwartz
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Fryer, Johnson
(1)The behaviour of the August 1936 Galatea fire in the foothills of the Canadian Rocky Mountains was reconstructed with respect to the rate of spread, frontal-fire intensity and fuel consumption, and illustrates that tree mortality, seed dispersal distance into the burn and…
Year: 1988
Type: Document
Source: TTRS
Andrews
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Malave, Irving, Burke
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Von, Blumen
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Martell, Fullerton
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Nelson, Adkins
Data for the behavior of 59 experimental wind-driven fires were extracted from the literature for use in determining a correlation among several variables known to influence the rate of forest fire spread. Also included in the correlation were unpublished data from six field…
Year: 1988
Type: Document
Source: TTRS
Burgan, Hartford
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Loehle
[no description entered]
Year: 1988
Type: Document
Source: TTRS
Calabi
From the text (p.246) ... 'In sum, because it was seen as deviation from the adaptive 'norm', behavioral flexibility in the class/task association among social insect workers initially was considered to be noise with respect to division of labor and ergonomic efficiency. However…
Year: 1988
Type: Document
Source: TTRS
Garland
From the text ... 'The appropriate use of models and computer technology must be blended with a human system of resource management.' © 2010 by the Society of American Foresters. Abstract reproduced by permission.
Year: 1988
Type: Document
Source: TTRS
Peterson, Davis, Eckhause, Pouy, Sigalas-Markham, Volovo
From the text ... 'By carefully integrating modeling and simulation into their decision-making, managers can better size equipment capabilities, fine-tune complex resource decisions (across any planning time horizon), and maximize the usefulness and effectiveness of emerging…
Year: 2015
Type: Document
Source: TTRS
Val Martin, Pierce, Heald
From the text ... 'Smoke can be transported hundreds of miles downwind by prevailing winds or convective winds generated by fires themselves with concentrations sufficient to make it the most significant source of air pollution over large areas.'
Year: 2015
Type: Document
Source: TTRS
Liu, Hussaini, Okten
Rothermel's wildland surface fire spread model is widely used in North America. The model outputs depend on a number of input parameters, which can be broadly categorized as fuel model, fuel moisture, terrain, and wind parameters. Due to the inevitable presence of uncertainty in…
Year: 2015
Type: Document
Source: TTRS
Katurji, Nikolic, Zhong, Pratt, Yu, Heilman
We have demonstrated the use of an advanced Gaussian-Process (GP) emulator to estimate wildland fire emissions over a wide range of fuel and atmospheric conditions. The Fire Emission Production Simulator, or FEPS, is used to produce an initial set of emissions data that…
Year: 2015
Type: Document
Source: TTRS
Duff, Tolhurst
Wildfires are an inherent part of the landscape in many parts of the world; however, they often impose substantial economic burdens on human populations where they occur, both in terms of impacts and of management costs. As wildfires burn towards human assets, a universal…
Year: 2015
Type: Document
Source: FRAMES, TTRS
Bachelet, Ferschweiler, Sheehan, Sleeter, Zhu
The dynamic global vegetation model (DGVM) MC2 was run over the conterminous USA at 30 arc sec (~800 m) to simulate the impacts of nine climate futures generated by 3GCMs (CSIRO, MIROC and CGCM3) using 3 emission scenarios (A2, A1B and B1) in the context of the LandCarbon…
Year: 2015
Type: Document
Source: TTRS
Liu, Jimenez, Hussaini, Okten, Goodrick
Rothermel's wildland surface fire model is a popular model used in wildland fire management. The original model has a large number of parameters, making uncertainty quantification challenging. In this paper, we use variance-based global sensitivity analysis to reduce the number…
Year: 2015
Type: Document
Source: FRAMES, TTRS