Skip to main content

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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

Displaying 76 - 100 of 341

Gauthier, Bernier, Burton, Edwards, Isaac, Isabel, Jayen, Le Goff, Nelson
Climate change is affecting Canada's boreal zone, which includes most of the country's managed forests. The impacts of climate change in this zone are expected to be pervasive and will require adaptation of Canada's forest management system. This paper reviews potential climate…
Year: 2014
Type: Document
Source: FRAMES

Hokkaido University (HU) is one of the world leaders in developing new earth-observing space technology. Dr. Koji Nakau leads their wildfire remote sensing applications team. He's working with various partners-including UAF-on new satellite-derived products delivered to wildland…
Year: 2014
Type: Document
Source: FRAMES

The Fire, Fuel, and Smoke Science Program (FFS) of the U.S. Forest Service, Rocky Mountain Research Station, focuses on fundamental and applied research in wildland fire, from fire physics and fire ecology to fuels management and smoke emissions. Located at the Missoula Fire…
Year: 2014
Type: Document
Source: FRAMES

The Alaska Fire Modeling and Analysis Committee developed this 2 page guide with resources and recommendations for those new to the wildland fire decision-making process.
Year: 2014
Type: Document
Source: FRAMES

Ziel, Branson
This poster reviews current assessment products on the AICC Predictive Service Web page (like forecasts, lightning, and imagery) and examines some other tools and sources of data that Alaska fire managers might be able to use to improve fire weather forecasts. Presented at 2014…
Year: 2014
Type: Document
Source: FRAMES

Littell
Presentation made at 2014 Spring Alaska Fire Science Workshop.
Year: 2014
Type: Document
Source: FRAMES

Jandt
The slideshow for this project was presented at the 2014 Spring Alaska Fire Science Workshop.
Year: 2014
Type: Document
Source: FRAMES

Wolken
The slideshow for this project was presented at the 2014 Spring Alaska Fire Science Workshop.
Year: 2014
Type: Document
Source: FRAMES

Barnes, Miller
The slideshow for this project was presented at the 2014 Spring Alaska Fire Science Workshop.
Year: 2014
Type: Document
Source: FRAMES

Wolken
The Canadian Forest Fire Danger Rating System (CFFDRS) has been under development by the Canadian Forest Service since 1968, and comprises two major subsystems: the Canadian Forest Fire Weather Index (FWI) and the Canadian Forest Fire Behavior Prediction (FBP) Systems (Stocks et…
Year: 2014
Type: Document
Source: FRAMES

Barnes, Ziel
This presentation analyzed factors that may influence fires burning or slowing in recent fires, including season, fuels, burn severity of first fire, topography, time since fire, weather, and random or factors line up.
Year: 2014
Type: Document
Source: FRAMES

Littell, McKenzie
Climate and fire are strongly linked, although the relationship between them is contingent on fuels and thus fire responses to climate variability and change vary considerably across ecosystems, fuels management, and land use. By comparing relationships between climate and…
Year: 2014
Type: Document
Source: FRAMES

Rideout, Reich, Ziesler
We developed a set of generalized value categories and average relative marginal values using resource and valuation information collected at seven federal land management planning units in the USA. The categories and average values are intended to be used for rapid strategic…
Year: 2014
Type: Document
Source: FRAMES

Lewis, Ebbeck
Decisionmaking in wildland firefighting is an evolving, dynamic reflection of a complex array of social and environmental factors that managers are expected to handle with fewer resources than in past eras. The need for new and effective ways of developing the capabilities to…
Year: 2014
Type: Document
Source: FRAMES

Bailey
Alaska Center for Unmanned Aerial Systems Integration (ACUASI) Deputy Director Ro Bailey gave a presentation on the University of Alaska's history and capabilities with Unmanned Aerial Vehicles (UAVs) to the Interagency Dispatchers meeting March 26, 2014 at the North Pole Hotel…
Year: 2014
Type: Document
Source: FRAMES

McKenzie, Shankar, Keane, Stavros, Heilman, Fox, Riebau
Smoke from wildfires has adverse biological and social consequences, and various lines of evidence suggest that smoke from wildfires in the future may be more intense and widespread, demanding that methods be developed to address its effects on people, ecosystems, and the…
Year: 2014
Type: Document
Source: FRAMES

Peppin, Mottek-Lucas, Fulé
Recent reviews have brought into question the effectiveness of post-fire seeding in mitigating soil erosion and non-native plant invasions, yet millions of dollars continue to be spent annually on post-fire seeding as a primary post-fire rehabilitation response. Overall policy…
Year: 2014
Type: Document
Source: FRAMES

Roos, Bowman, Balch, Artaxo, Bond, Cochrane, D'Antonio, DeFries, Mack, Johnston, Krawchuk, Kull, Moritz, Pyne, Scott, Swetnam
In our 2011 synthesis (Bowman et al., Journal of Biogeography, 2011, 38, 2223-2236), we argued for a holistic approach to human issues in fire science that we term 'pyrogeography'. Coughlan & Petty (Journal of Biogeography, 2013, 40, 1010-1012) critiqued our paper on the…
Year: 2014
Type: Document
Source: FRAMES

Tirmenstein, Long, Heward
The Wildland Fire Assessment Tool (WFAT) is a custom ArcMap toolbar that provides an interface between ArcGIS desktop software, FlamMap3 algorithms (Finney 2006) and First Order Fire Effects Model (FOFEM) algorithms (Reinhardt 2003) to produce predicted fire behavior and fire…
Year: 2014
Type: Document
Source: FRAMES

Boulanger, Gauthier, Burton
Broad-scale fire regime modelling is frequently based on large ecological and (or) administrative units. However, these units may not capture spatial heterogeneity in fire regimes and may thus lead to spatially inaccurate estimates of future fire activity. In this study, we…
Year: 2014
Type: Document
Source: FRAMES, TTRS

Horel, Ziel, Galli, Pechmann, Dong
A web-based set of tools has been developed to integrate weather, fire danger and fire behaviour information for the Great Lakes region of the United States. Weather parameters obtained from selected observational networks are combined with operational high-resolution gridded…
Year: 2014
Type: Document
Source: FRAMES, TTRS

Liu, Goodrick, Heilman
Increasing wildfire activity in recent decades, partially related to extended droughts, along with concern over potential impacts of future climate change on fire activity has resulted in increased attention on fire-climate interactions. Findings from studies published in recent…
Year: 2014
Type: Document
Source: FRAMES

Heilman, Liu, Urbanski, Kovalev, Mickler
This paper provides an overview and summary of the current state of knowledge regarding critical atmospheric processes that affect the distribution and concentrations of greenhouse gases and aerosols emitted from wildland fires or produced through subsequent chemical reactions…
Year: 2014
Type: Document
Source: FRAMES

Larkin, Raffuse, Strand
Emissions from wildland fire are both highly variable and highly uncertain over a wide range of temporal and spatial scales. Wildland fire emissions change considerably due to fluctuations from year to year with overall fire season severity, from season to season as different…
Year: 2014
Type: Document
Source: FRAMES

Urbanski
While the vast majority of carbon emitted by wildland fires is released as CO2, CO, and CH4, wildland fire smoke is nonetheless a rich and complex mixture of gases and aerosols. Primary emissions include significant amounts of CH4 and aerosol (organic aerosol and black carbon),…
Year: 2014
Type: Document
Source: FRAMES