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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
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Topic
Year
Displaying 1 - 25 of 65
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
Fischer, Spies, Steelman, Moseley, Johnson, Bailey, Ager, Bourgeron, Charnley, Collins, Kline, Leahy, Littell, Millington, Nielsen-Pincus, Olsen, Paveglio, Roos, Steen-Adams, Stevens, Vukomanovic, White, Bowman
Wildfire risk in temperate forests has become a nearly intractable problem that can be characterized as a socioecological 'pathology': that is, a set of complex and problematic interactions among social and ecological systems across multiple spatial and temporal scales.…
Year: 2016
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
Wigtil, Hammer, Kline, Mockrin, Stewart, Roper, Radeloff
The hazards-of-place model posits that vulnerability to environmental hazards depends on both biophysical and social factors. Biophysical factors determine where wildfire potential is elevated, whereas social factors determine where and how people are affected by wildfire. We…
Year: 2016
Type: Document
Source: TTRS
Smithwick
From the text...'...calls for the fire-science community to draw up maps of wildfire risk based on contributory factors...' © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved.
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
Ziel, Kurth, Saperstein
Webinar with Robert (Zeke) Ziel, Laurie Kurth, and Lisa Saperstein. Organized by the Fire Modeling and Analysis Committee. Recorded on May 24, 2016.
Robert (Zeke) Ziel: Using FFMC and DMC to assess fuel moisture and use of BUI to help adjust ERC values
Laurie Kurth: Some…
Year: 2016
Type: Media
Source: FRAMES
Alden, Strader, Ziel
Alaska Interagency Fall Fire Review | Wedresday, October 12, 2016Presenter: Heidi Strader and Robert Ziel, with input from Sharon Alden
Year: 2016
Type: Media
Source: FRAMES
Saltenberger
Alaska Fire Science Consortium Workshop | Thursday, October 13, 2016Presenter: John Saltenberger
Year: 2016
Type: Media
Source: FRAMES
The Wildland Fire Library is a collection of long-term assessments, fire progressions, fire behavior reports, and other documents and resources to support fire modeling and assessment of long-duration fires. Each file is tied to some event with a location, a start date, and…
Year: 2016
Type: Website
Source: FRAMES
Graham, Middlemis-Brown
On nearly every continent, prior and current cultures have practiced land management using fire. Huffman calls the knowledge acquired by people “Traditional Fire Knowledge” (TFK), which consists of “fire‐related knowledge, beliefs and practices that have been developed and…
Year: 2016
Type: Document
Source: FRAMES
Belval, Wei, Bevers
Wildfire behavior is a complex and stochastic phenomenon that can present unique tactical management challenges. This paper investigates a multistage stochastic mixed integer program with full recourse to model spatially explicit fire behavior and to select suppression locations…
Year: 2016
Type: Document
Source: FRAMES, 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: FRAMES
Flannigan, Wotton, Marshall, de Groot, Johnstone, Jurko, Cantin
The objective of this paper is to examine the sensitivity of fuel moisture to changes in temperature and precipitation and explore the implications under a future climate. We use the Canadian Forest Fire Weather Index System components to represent the moisture content of fine…
Year: 2016
Type: Document
Source: FRAMES, TTRS
Wiggins, Veraverbeke, Henderson, Karion, Miller, Lindaas, Commane, Sweeney, Luus, Tosca, Dinardo, Wofsy, Miller, Randerson
Relationships between boreal wildfire emissions and day-to-day variations in meteorological variables are complex and have important implications for the sensitivity of high-latitude ecosystems to climate change. We examined the influence of environmental conditions on boreal…
Year: 2016
Type: Document
Source: FRAMES, TTRS
Di Giuseppe, Pappenberger, Wetterhall, Krzeminski, Camia, Libertà, San Miguel
A global fire danger rating system driven by atmospheric model forcing has been developed with the aim of providing early warning information to civil protection authorities. The daily predictions of fire danger conditions are based on the U.S. Forest Service National Fire-…
Year: 2016
Type: Document
Source: FRAMES
Shanks Rodrigues
An overview of a project supported by the Bureau of Land Management, which is seeking input from community residents about what they know now and what they want to know about how wildfires may affect them. Presented at the Alaska Fire Science Consortium session at the Alaska…
Year: 2016
Type: Media
Source: FRAMES
Ziel, Strader, Pyne, Henderson
Presented at the 2016 Spring Alaska Fire Science Workshop. Weather information, surface observations and forecasts, is among the most widely viewed topics on the web. It is the one way that the history, current setting, and forecast fire potential can be quickly compared. Fire…
Year: 2016
Type: Document
Source: FRAMES
Social Network Analysis of Disaster Response, Recovery, and Adaptation covers systematic social network analysis and how people and institutions function in disasters, after disasters, and the ways they adapt to hazard settings. As hazards become disasters, the opportunities and…
Year: 2016
Type: Document
Source: FRAMES
Jolly, Brenner, Long
Fine dead fuel moisture content (FMC) is a critical factor in fire behavior. As 1-hour fuels (needles, grass, leaves) dry out, flame length, rate of spread, fire intensity, and probability of ignition from embers increase. With grassy fuels (fuel models 1, 2, 3), a 5% decrease…
Year: 2016
Type: Document
Source: FRAMES
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: FRAMES
Wagenbrenner
Near-surface wind is the driving environmental factor for wildland fire spread and behavior. Local-scale terrain and vegetation can significantly alter wind over small scales that are not captured by standard weather prediction models and are not easily anticipated by even…
Year: 2016
Type: Media
Source: FRAMES
Miller
Presentation to the Interagency Arctic Research Policy Committee Arctic Data Collaboration Team Meeting September 2016 by Eric Miller on behalf of the Wildfires Collaboration Team.
Year: 2016
Type: Media
Source: FRAMES