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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 292
Cahoon, Stocks, Alexander, Baum, Goldammer
New satellite instruments are currently being designed specifically for fire detection, even though to date the detection of active fires from space has never been an integral part of the design of any in-orbit space mission. Rather, the space-based detection of fires during the…
Year: 2000
Type: Document
Source: FRAMES
Hesseln
Prescribed burning has, in the past decade, become the focus of debate among policy makers, federal and private land managers, and the public. To manage fire effectively, the USDA Forest Service has formally recognized the need for economic analysis. It is stated in the Federal…
Year: 2000
Type: Document
Source: TTRS
Ferber
From the text ... 'LANDFIRE can give more precise predictions than previous fire-behavior models did, allowing land managers to let beneficial fires burn, Shlisky says.The database has been tested in the northern Rockies and in central Utah; now it will expand nationwide. As…
Year: 2004
Type: Document
Source: TTRS
Viegas
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Peters, Herrick
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Boudreault, Gauthier, Bergeron
[no description entered]
Year: 2000
Type: Document
Source: TTRS
Earles, Wright, Brown, Langan
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Tierney
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Brown, Hall, Westerling
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Gonzalez-Bonorino, Osterkamp
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Arseneault, Sirois
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Spies
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Hirsch, Podur, Janser, McAlpine, Martell
A structured expert-judgement elicitation technique was used to develop probability distributions for fireline production rates for Ontario's three- and four-person initial-attack crews for seven common fuel types and two distinct levels of fire intensity (i.e., low, 500 kW/m;…
Year: 2004
Type: Document
Source: TTRS
Legare, Paré, Bergeron
In the southeastern boreal forest of Canada, the presence of mixed stands of black spruce (Picea mariana (Mill.) BSP) and trembling aspen (Populus tremuloides Michx.) growing in similar abiotic conditions offers the opportunity to study the influence of aspen on stand volume and…
Year: 2004
Type: Document
Source: TTRS
Delong, Fall, Sutherland
[no description entered]
Year: 2004
Type: Document
Source: TTRS
Teich, Vaughn, Cortner
[no description entered]
Year: 2004
Type: Document
Source: TTRS
From the Introduction ... 'The Fire and fuels Extension (FFE) has been developed for 18 of the Forest Vegetation Simulator (FVS) variants: Northern Idaho, Kookantl, Central Rockies, Utah, Eastern Montana, Western Sierra, Blue Mountains, Eastern Cascades, Central Idaho, Tetons,…
Year: 2004
Type: Document
Source: TTRS
Reinhardt, Mincemoyer, Keane
The revision of FOFEM, a national fire effects model, is described. FOFEM 5.0 will incorporate the predictions of fuel consumption, tree mortality and smoke production along with the addition of soil heating and an updated user interface. The revised version of FOFEM will model…
Year: 2000
Type: Document
Source: TTRS
McKenzie, Peterson, Agee
We developed multiple regression models and tree-based (CART -- classification and regression tree) models to predict fire return intervals across the Interior Columbia River basin at 1-km resolution, using geo-referenced fire history potential vegetation, cover type, and…
Year: 2000
Type: Document
Source: TTRS
Li, Jin, Fraser
A comprehensive investigation of Canadian boreal forest fires was conducted using NOAA-AVHRR imagery. Algorithms were developed to (1) detect active forest fires, (2) map burned areas on daily and annual basis, and (3) estimate fire emissions based on burned area and Canadian…
Year: 2000
Type: Document
Source: TTRS
Yokelson, Goode, Ward, Baker, Susott, Hao
Smoke may present the most intractable barrier of all to implementing more enlightened fire management. The benefits of a prescribed fire program can only be realized if the public and regulatory agencies agree that the air quality impacts are acceptable. Currently, land…
Year: 2000
Type: Document
Source: TTRS
Scott, Reinhardt
Land managers need the ability to assess alternative fuel treatments. Assessing fuel treatments requires modeling fire behavior and fire effects. Estimates of canopy fuel characteristics, including bulk density, crown base height, available canopy fuel load, stand height and…
Year: 2000
Type: Document
Source: TTRS
Linn
Researchers have been using models to predict and study wildfire behavior for approximately fifty years. These models range in complexity from simple algebraic models that may be implemented in graphical form or on hand-held calculators to complex formulations that are…
Year: 2000
Type: Document
Source: TTRS
Weise, Kimberlin, Arbaugh, Chew, Jones, Merzenich, van Wagtendonk, Wiitala
Understanding the trade-off between short-term and long-term consequences of fire impacts on ecosystems is needed before a comprehensive fuels management program can be implemented nationally. We are comparing three vegetation models that may be used to predict the effects of…
Year: 2000
Type: Document
Source: TTRS
Scott, Oswald, Farrish, Unger
Fuel load prediction equations that make use of aerial photographs were developed for Mixed Conifer, Ponderosa pine (Pinus ponderosa Dougl. Ex Laws.) and Pinyon-Juniper (Pinus edulis Engelm.) (Juniperus monosperma Engelm.) cover types from one time measurements made in the Santa…
Year: 2000
Type: Document
Source: TTRS