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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 26 - 50 of 160

Dean
Project Objectives: The overall objective of this project is to construct a fully functional decision support system that wildland managers can use to develop optimal or near-optimal fuel treatment prescriptions. The task of accomplishing this goal has been divided into a number…
Year: 2003
Type: Project
Source: FRAMES

Sandberg, Alvarado, Ferguson, Leuschen, McKenzie, O'Neill, Ottmar, Peterson
The primary objective of the Emission Production Model project is: To improve the usability, accuracy, and applicability of an Emission Production Model to predict air pollutant source strength, heat release rate, and plume buoyancy from all fire environments and all fuel types…
Year: 2004
Type: Project
Source: FRAMES

Naughton
The proposed project will quantify the effects of hazardous fuels treatments on suppression costs of subsequent wildfires. Spatial econometric models of daily fire suppression costs will be estimated to determine if and to what spatial and temporal extent hazardous fuels…
Year: 2017
Type: Project
Source: FRAMES

Parsons, Dupuy, Jolly, Linn, Mell, Pimont, Rigolot, deColigny
Accurate characterization of stand scale fuel treatment effectiveness is necessary before such treatments can be robustly considered at landscape scales. Fire behavior predictions are key components in evaluating fuel treatments, which may include a mixture of mechanical…
Year: 2016
Type: Project
Source: FRAMES

Reeves
There is a clear need for decision support systems that inform rangeland management strategies to reduce fire hazard and maintain ecological integrity. The RVS is improving that capability but offers outdated depictions of vegetation dynamics (BpS successional models).…
Year: 2016
Type: Project
Source: FRAMES

Reeves
The FVS is currently incapable of estimating succession, biomass and fuels of non-forested landscapes, yet decision support models such as the Interagency Fuels Treatment Decision Support System (IFT-DSS) require this information. In response, we propose development of the…
Year: 2016
Type: Project
Source: FRAMES

Robichaud, Massman
Accurately modeling the duration and extent of soil heating from prescribed fires and wildfires is vital to predicting many second-order fire effects, including development of soil hydrophobicity and other biological, chemical, and physical effects. Advancements have been made…
Year: 2019
Type: Project
Source: FRAMES

Blunck, Bailey, Butler, Wagenbrenner
A significant mechanism for wildland fire spread is ignition by embers lofted ahead of a flaming front (fire spotting). Little is known about ember production, transport and subsequent ignition of new fuel, despite the significant threat posed from flame spotting at wildland-…
Type: Project
Source: FRAMES

Olsen, Jolly, Toman, Wilson
Many fire weather-based tools, such as the National Fire Danger Rating System (NFDRS) and the Wildland Fire Decision Support System (WFDSS), are used nationwide to support the full range of strategic (pre-fire and prescribed fire planning) and tactical (initial and extended…
Type: Project
Source: FRAMES

French, Billmire, Kennedy, Larkin, McKenzie
Fuel loadings, from canopy to litter and duff, are key variables for informing wildland fire emissions inventories. At regional to national scales, fuel loadings and their spatial patterns vary in both space and time, but current geospatial fuel datasets do not account for this…
Type: Project
Source: FRAMES

Hood, Varner, van Mantgem
Forests represent a major source of carbon storage, drive numerous ecosystem processes, and have huge economic and social importance. Wildland and prescribed fires burn millions of forested acres annually, making accurate prediction of post-fire effects and the likelihood of…
Year: 2019
Type: Project
Source: FRAMES

Birdsey
This project involves a review of relevant literature and preparation of a review paper to be submitted to a prominent journal. Lead Author (Anping Chen) will select and work with a team of respected scientists with expertise in fire emissions, national emissions inventories,…
Year: 2017
Type: Project
Source: FRAMES

Baker, Pierce
This U.S. Environmental Protection Agency modeling team proposes to provide expertise related to smoke emissions, modeling, and transport to support the design of future field studies focused on fire behavior. As part of that commitment, we plan to model all of the pre-burn…
Year: 2017
Type: Project
Source: FRAMES

Mell, Linn
The physics-based models FIRETEC and WFDS have been used to simulate a number of field experiments involving fire in wildland fuels. These models work by simulating the coupled physical processes driving fire behavior including the drying and thermal degradation of vegetation,…
Year: 2017
Type: Project
Source: FRAMES

Kochanski, Fournier, Jenkins, Mandel
Recent advancements in fire-atmosphere modeling have increased the number of physical processes integrated into the coupled models. This greater complexity allows for more comprehensive representation of the complex interactions between the fire and the atmosphere; however, as a…
Year: 2017
Type: Project
Source: FRAMES

Urbanski
This proposal responds to JFSP FON #16-04 Fire and Smoke Model Evaluation Experiment, Task 4: Smoke Emissions, Chemistry, and Transport. Over the past decade, significant progress has been gained in characterizing the composition, transport, and processing of wildland fire…
Year: 2017
Type: Project
Source: FRAMES

Potter, Clements
The FASMEE FON requests proposals from individuals seeking to serve as discipline leads for the development of the FASMEE study plan. We propose to serve as co-discipline leads for plume development and meteorology for this endeavor. The proposal outlines what data are needed to…
Year: 2017
Type: Project
Source: FRAMES

Dickinson, Butler, Hao, O'Brien, Schroeder
The radiation field - resolved in time and space and encompassing an entire burn unit - and the convective field that can be derived from it are essential kinds of evaluation data for fire models and input data for smoke models. The primary challenge of the Fire Behavior and…
Year: 2017
Type: Project
Source: FRAMES

Hudak, Keane, Loudermilk, Parsons, Prichard, Seielstad, Skowronski
The assumption of homogeneous fuel beds that underlies most fire spread models fundamentally limits their operational utility and future advancements in fire science, and imposes a significant disconnect between real fuels, which are highly heterogeneous, the inferences made…
Year: 2017
Type: Project
Source: FRAMES

Ottmar, Brown, Larkin
This project will develop and prioritize the observations needed to perform this task, bring teams of modelers and observational specialists in various disciplines on board under separate funding, and coordinate these teams to create and validate a detailed study plan, including…
Year: 2020
Type: Project
Source: FRAMES

Rorig, Bothwell, Drury, Wheeler
Fire weather forecasters, fire planners, and decision makers do not have easy access to information needed to verify the accuracy of, or to communicate the level of confidence in, fire weather forecasts and the fire prediction products that depend on fire weather forecasts. In…
Year: 2015
Type: Project
Source: FRAMES

Seielstad, Fletcher
This project is developing methods to spatially represent shrub fuel matrices of chamise (Adenostoma fasciculatum Hook. & Arn.) and sagebrush (Artemisia tridentata Nutt.) using laser scanning, simulating fire propagation through them, and validating simulations against…
Year: 2015
Type: Project
Source: FRAMES

Benscoter, Corace, Kane
The goals of the proposed research are to develop fire management and modeling tools to predict particulate carbon production and black carbon (BC) conversion rates during combustion of organic peat soils common to boreal forested and non-forested ecosystems of the Great Lakes…
Year: 2015
Type: Project
Source: FRAMES

Johnson
Fuel treatments to reduce wildfire behavior and severity are major concerns for fire and forest managers throughout the United States. To test treatment effects and alternatives, managers rely on simulation models, such as Behave, the Fire Area Simulator, and the Fire and Fuels…
Year: 2015
Type: Project
Source: FRAMES

Ottmar, Hudak, Dickinson, Potter, Urbanski, Kochanski, Mell, Liu, Brown, French, Larkin
The Fire and Smoke Model Evaluation Experiment (FASMEE) is a multi-agency, interdisciplinary collaborative effort to identify and collect critical measurements of fuels, fire behavior, fire energy, meteorology, smoke, and fire effects that will be used to evaluate and advance…
Type: Project
Source: FRAMES