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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
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Displaying 1 - 25 of 230
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
Alexander, Thorburn
As an acronym, LACES stands for Lookout(s) - Anchor point(s) - Communication(s) - Escape routes - Safety zone(s) and has gradually become a guideline for wildland firefighter safety in various regions of Canada over the past 15 years or so. LACES constitutes a slight…
Year: 2015
Type: Document
Source: FRAMES
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
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
Pimont, Parsons, Rigolot, deColigny, Dupuy, Dreyfus, Linn
Scientists and managers critically need ways to assess how fuel treatments alter fire behavior, yet few tools currently exist for this purpose. We present a spatially-explicit-fuel-modeling system, FuelManager, which models fuels, vegetation growth, fire behavior (using a…
Year: 2016
Type: Document
Source: TTRS
Katuwal, Calkin, Hand
This study examines the production and efficiency of wildland fire suppression effort We estimate the effectiveness of suppression resource inputs to produce controlled fire lines that contain large wildland fires using stochastic frontier analysis. Determinants of inefficiency…
Year: 2016
Type: Document
Source: TTRS
Drury, Rauscher, Banwell, Huang, Lavezzo
The Interagency Fuels Treatment Decision Support System (IFTDSS) is a web-based software and data integration framework that organizes fire and fuels software applications into a single online application. IFTDSS is designed to make fuels treatment planning and analysis more…
Year: 2016
Type: Document
Source: TTRS
Heilman, Tang, Luo, Zhong, Winkler, Bian
From the text ... 'Researchers at Michigan State University and the Forest Services's Northern Research Station worked on a joint study to examine the possible effects of future global and regional climate change on the occurrence of fire-weather patterns often associated with…
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
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
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
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
Fox, Whitesides
Spreading fires are noisy (and potentially chaotic) systems in which transitions in dynamics are notoriously difficult to predict. As flames move through spatially heterogeneous environments, sudden shifts in temperature, wind, or topography can generate combustion instabilities…
Year: 2015
Type: Document
Source: 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
Steelman
There are fundamental spatial and temporal disconnects between the specific policies that have been crafted to address our wildfire challenges. The biophysical changes in fuels, wildfire behavior, and climate have created a new set of conditions for which our wildfire governance…
Year: 2016
Type: Document
Source: TTRS
Barrett, Loboda, McGuire, Genet, Hoy, Kasischke
Wildfire, a dominant disturbance in boreal forests, is highly variable in occurrence and behavior at multiple spatiotemporal scales. New data sets provide more detailed spatial and temporal observations of active fires and the post-burn environment in Alaska. In this study, we…
Year: 2016
Type: Document
Source: TTRS
Hayasaka, Tanaka, Bieniek
Recent concurrent widespread fires in Alaska are evaluated to assess their associated synoptic-scale weather conditions. Several periods of high fire activity from 2003 to 2015 were identified using Moderate Resolution Imaging Spectroradiometer (MODIS) hotspot data by…
Year: 2016
Type: Document
Source: TTRS
Dash, Fraterrigo, Hu
Wildfire activity in boreal forests is projected to increase dramatically in response to anthropogenic climate change. By altering the spatial arrangement of fuels, land-cover configuration may interact with climate change to influence fire-regime dynamics at landscape and…
Year: 2016
Type: Document
Source: TTRS
Tohidi, Kaye
Highly buoyant plumes, such as wildfire plumes, in low to moderate wind speeds have initial trajectories that are steeper than many industrial waste plumes. They will rise further into the atmosphere before bending significantly. In such cases the plume's trajectory will be…
Year: 2016
Type: Document
Source: TTRS
A pictorial poster showing many cloud formations and what these clouds mean in regards to fire weather and fire behavior.
Year: 2016
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
Jandt
Randi Jandt presents for the 2016 Fire Presentation Series organized by the Alaska Natural Resources and Outdoor Education (ANROE) Association.
Year: 2016
Type: Media
Source: FRAMES
Pyne, Ziel, Butteri
Alaska Interagency Fall Fire Review | Wedresday, October 12, 2016Presenters: Peter Butteri, KT Pyne, Robert Ziel
Year: 2016
Type: Media
Source: FRAMES