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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 98
Hartford, Frandsen
Fire effects on aplant community, soil, and air are not apparent when judged only by surface fire intensity. The fire severity or fire impact can be described by the temperatures reached within the forest floor and the duration of heating experienced in the vegetation, forest…
Year: 1992
Type: Document
Source: TTRS
Titus, Woodard, Johnson
[no description entered]
Year: 1992
Type: Document
Source: TTRS
North, Stephens, Collins, Agee, Aplet, Franklin, Fulé
From the text ... 'Management reform in the United States has failed, not because of policy, but owing to lack of coordinated pressure sufficient to overcome entrenched agency disincentive to working with fire. Responding to established research, official agency policy now…
Year: 2015
Type: Document
Source: TTRS
North, Stephens, Collins, Agee, Aplet, Franklin, Fulé
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
Finney, Cohen, Forthofer, McAllister, Gollner, Gorham, Saito, Akafuah, Adam, English
Large wildfires of increasing frequency and severity threaten local populations and natural resources and contribute carbon emissions into the earth-climate system. Although wildfires have been researched and modeled for decades, no verifiable physical theory of spread is…
Year: 2015
Type: Document
Source: TTRS
Boer, Price, Bradstock
From the text...'Studies in Australia and the United States show that weather is a stronger determinant of fire severity than is fuel...Fuel treatment whether by managed fires or other means, may be most cost-effective when strategically targeted in close proximity to assets at…
Year: 2015
Type: Document
Source: TTRS
Appenzeller
From the text ... 'The trees of the boreal, after all, are used to fire. The dominant species in Alaska and much of Canada, black spruce, maintains an aerial storehouse of seeds, locked in cones that form a distinctive tuft at the treetop. When a fire singes the cones and melts…
Year: 2015
Type: Document
Source: TTRS
Wang, Thompson, Marshall, Tymstra, Carr, Flannigan
In Canadian forests, the majority of burned area occurs on a small number of days of extreme fire weather. These days lie within the tail end of the distribution of fire weather, and are often the periods when fire suppression capacity is most challenged. We examined the…
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
Smurthwaite
From the text ... 'What does the future of rangelands and wildfire look like? The easy answer to the question is that rangelands will look different in the future and so will wildfire occurrence and behavior.'
Year: 2015
Type: Document
Source: TTRS
Lowell, Parrent, Deering, Bihn, Becker
The Community Biomass Handbook. Volume 2: Alaska, Where Woody Biomass Can Work, is a companion volume to the Community Biomass Handbook. Volume 1: Thermal Wood Energy, published in April 2014 (Becker et al. 2014). Why an Alaska volume? The original handbook contains information…
Year: 2015
Type: Document
Source: FRAMES
Based primarily on the Canadian Forest Fire Danger Rating System (CFFDRS) component parts, the Fire Weather Index (FWI) System and the Fire Behavior Prediction (FBP) System, this document can be used to guide learning users through the fire behavior assessment process from the…
Year: 2015
Type: Document
Source: FRAMES
This guide is intended as a reference for US users who may have reason to work with the system in the United States, where English units are primarily used. Keep in mind that the Canadian Forest Service has produced the definitive selection of reference publications and tools…
Year: 2015
Type: Document
Source: FRAMES
From the text...'The purpose of this document is to provide technical information on prescribed burning. It does so in two ways. One, it provides background information useful in determining reasonably available control measures (RACM) and best available control measures (BACM)…
Year: 1992
Type: Document
Source: TTRS
Woodcock
The Interior Lowland of North America, comprising the Central Lowland and the Great Plains, is a region of approximately 3.2 x 106 km2. The nature of the (climatic) climax vegetation in this area has been a matter of controversy. Empirical evidence regarding the vegetation of…
Year: 1992
Type: Document
Source: TTRS
Barney, George, Trethewey
This paper presents the results of a study of handcrew fireline production rates. The methods are discussed. Tables and figures show the data collected and their analysis in a variety of stratifications. The basic data from the study are also presented. Because of the limited…
Year: 1992
Type: Document
Source: TTRS
Cabrera-Perez, Garcia-Moya, Romero-Manzanares
Saltgrass cover the bed lake of Texcoco, Mexico. Spring burning is practiced to promote growth and to improve forage quality. To test the effect of burning on productivity an expriment with two treatments, burning and control with three replications was established. Monthly…
Year: 1992
Type: Document
Source: TTRS
Blackwell, Feller, Trowbridge
The ecological effects of different treatments used to convert dense Pinus contorta var. latifolia Engelm. stands into young P. contorta plantations are determined. The treatments used were felling the trees with a bulldozer and either broadcast burning the slash or bulldozing…
Year: 1992
Type: Document
Source: TTRS
Vasconcelos, Guertin
FIREMAP is a simulation system designed to estimate wildfire characteristics in spatially non-uniform environments and simulate the growth of fire in discrete time steps. This simulation system integrates Rothermel's behavior prediction model (Rothermel 1972) with a raster-…
Year: 1992
Type: Document
Source: FRAMES, TTRS
Finney, Martin
The concept of a passive flame height sensor involves thin strings permeated with fire retardant or solder which record heights of flame contact. Both types of sensors were calibrated during 12 experimental test fires with respect to flame heights measured on video tape. Three…
Year: 1992
Type: Document
Source: FRAMES, TTRS
Viney
A practical means of quanming the diffusivities of forest fuels from field data is presented. The mathematics of this method is explored for four fuel shapes: a litter layer, a hardwood leaf, a twig and a square fuel moisture analogue stick, which are represented geometrically…
Year: 1992
Type: Document
Source: FRAMES
Rothermel
The fire behavior nomograms are excerpted from How to Predict the Spread and Intensity of Forest and Range Fuel, by Richard C. Rothermel, with the exception of the nomogram for fuel model #7 which was updated for this publication.
Year: 1992
Type: Document
Source: FRAMES