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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 1384
An overview of the International Crown Fire Modeling Experiments in Canada's Northwest Territories.
Year: 1997
Type: Media
Source: FRAMES
Shanks Rodrigues
Wildland firefighting in Alaska is changing due to the impact of climate change on the boreal forest. Changes to the wildland firefighting regime could have significant impacts on community participation during fall subsistence hunting and, consequentially, food security levels…
Year: 2018
Type: Document
Source: FRAMES
Langford, Kumar, Hoffman
Wildfires are the dominant disturbance impacting many regions in Alaska and are expected to intensify due to climate change. Accurate tracking and quantification of wildfires are important for climate modeling and ecological studies in this region. Remote sensing platforms (e.g…
Year: 2018
Type: Document
Source: FRAMES
Taylor, Alexander
The Canadian Forest Fire Behavior Prediction (FBP) System is a systematic method for assessing wildland fire behavior potential. This field guide provides a simplified version of the system, presented in tabular format. It was prepared to assist field staff in making first…
Year: 2018
Type: Document
Source: FRAMES
Alexander, Taylor, Page
Using the 2013 Yarnell Hill fatality fire in Arizona as a backdrop, this paper considers whether the global wildland fire community has failed on-the-ground firefighters. To begin answering this question two specific lines of inquiry are addressed: (i) was the fire behavior…
Year: 2016
Type: Document
Source: FRAMES
Cruz, Alexander, Sullivan
This paper represents our response to the questioning by Mell et al. (2018) of our interpretation (Cruz et al. 2017) of five generalised statements or mantras commonly repeated in the wildland fire behaviour modelling literature. We provide further clarity on key subjects and…
Year: 2018
Type: Document
Source: FRAMES
Kim, Warren, Krantz, King, Jaskot, Preston, George, Hays, Landis, Higuchi, DeMarini, Gilmour
Background: The increasing size and frequency of wildland fires are leading to greater potential for cardiopulmonary disease and cancer in exposed populations; however, little is known about how the types of fuel and combustion phases affect these adverse outcomes. Objectives:…
Year: 2018
Type: Document
Source: FRAMES
Brown
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
Year: 2018
Type: Media
Source: FRAMES
Rupp, Bieniek, Ziel, Bhatt
Meeting on Thursday November 29th, 2018 at the Alaska Fire Service on the Alaska Climate Adaption Science Center Wildfire Forecasting. Presenters include: Scott Rupp, Peter Bieniek, Robert (Zeke) Ziel, and Uma Bhatt
Year: 2018
Type: Media
Source: FRAMES
Yuan, Wang, Wu, Gao, Sun
Traditional wildfire detection methods are of low efficiency and cannot meet user needs, a novel method based on deep time and space features along transmission line is proposed in this paper, which uses ViBe algorithm to detect movements in videos, and extracts static deep…
Year: 2018
Type: Document
Source: FRAMES
Zylstra
This seminar is part of the USFS Missoula Fire Lab Seminar Series.
In 2017, approximately 57.3 million gallons of retardant was loaded onto airtankers. Of that, approximately 19 million gallons were dropped onto NFS lands. The use of fire chemicals is not without controversy.…
Year: 2018
Type: Media
Source: FRAMES
Kirsch, Rideout
Increased scruitiny of federally funded programs combined with changes in fire management has created a demand for a new fire program analysis model. There is now a need for a model that displays tradeoffs between initial attack effectiveness and alternative funding levels. The…
Year: 2005
Type: Document
Source: TTRS
Acuna, Palma, Weintraub, Martell, Cui
Harvest planners often consider potential fire losses and timber production plans can influence fire management, but most timber harvest planning and fire management planning activities are carried out largely independently of each other. But road construction, timber harvesting…
Year: 2005
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
Donovan, Noordijk
From the text ... 'Wildfires consume budgets and put the heat on fire managers to justify and control suppression costs. ...We used data from the 2002 fire season to determine how WFSA-predicted outcomes compared to actual outcomes. ...Fire managers often underestimated the…
Year: 2005
Type: Document
Source: TTRS
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
Faircloth, Reid, Valentine, Eo, Terhune, Glenn, Palmer, Nairn, Carroll
We describe primers and polymerase chain reaction (PCR) conditions to amplify four dinucleotide, one trinucleotide, and three tetranucleotide microsatellite DNA loci from the bobcat (Lynx rufus). The primers were tested on 22 individuals collected from a population located…
Year: 2005
Type: Document
Source: TTRS
Saab, Kotliar, Block
[no description entered]
Year: 2005
Type: Document
Source: TTRS
Fuller
Holocene fossil pollen data of fine temporal and spatial resolution were obtained from two small, closed lake basins in southern Ontario, Canada. Forest development is recorded in the pollen sequences, which document the invasion and expansion of tree populations during the…
Year: 1997
Type: Document
Source: TTRS
Smith, Zhang
Most FVS insect and disease model extensions are a blend of process modeling and empirical relationships. Because of the process elements, insect and disease models can present unexpected results when simulated conditions are unlike those tested when the model was developed.…
Year: 1997
Type: Document
Source: TTRS