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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 160
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
Peterson, Davis, Eckhause, Pouy, Sigalas-Markham, Volovo
From the text ... 'By carefully integrating modeling and simulation into their decision-making, managers can better size equipment capabilities, fine-tune complex resource decisions (across any planning time horizon), and maximize the usefulness and effectiveness of emerging…
Year: 2015
Type: Document
Source: TTRS
Val Martin, Pierce, Heald
From the text ... 'Smoke can be transported hundreds of miles downwind by prevailing winds or convective winds generated by fires themselves with concentrations sufficient to make it the most significant source of air pollution over large areas.'
Year: 2015
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
Katurji, Nikolic, Zhong, Pratt, Yu, Heilman
We have demonstrated the use of an advanced Gaussian-Process (GP) emulator to estimate wildland fire emissions over a wide range of fuel and atmospheric conditions. The Fire Emission Production Simulator, or FEPS, is used to produce an initial set of emissions data that…
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
Bachelet, Ferschweiler, Sheehan, Sleeter, Zhu
The dynamic global vegetation model (DGVM) MC2 was run over the conterminous USA at 30 arc sec (~800 m) to simulate the impacts of nine climate futures generated by 3GCMs (CSIRO, MIROC and CGCM3) using 3 emission scenarios (A2, A1B and B1) in the context of the LandCarbon…
Year: 2015
Type: Document
Source: 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
Larkin, Hipp, Kattge, Prescott, Tonietto, Jacobi, Bowles
1. Phylogenies are increasingly incorporated into ecological studies on the basis that evolutionary relatedness broadly correlates with trait similarity. However, phylogenetic approaches have rarely been applied to monitoring long-term community change or guiding management. 2.…
Year: 2015
Type: Document
Source: TTRS
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
Voulgarakis, Field
Fires impact atmospheric composition through their emissions, which range from long-lived gases to short-lived gases and aerosols. Effects are typically larger in the tropics and boreal regions but can also be substantial in highly populated areas in the northern mid-latitudes.…
Year: 2015
Type: Document
Source: FRAMES
This guide is intended as a reference for US users who may have reason to work with the system in the United States, where English units are primarily used. Keep in mind that the Canadian Forest Service has produced the definitive selection of reference publications and tools…
Year: 2015
Type: Document
Source: FRAMES
Ziel
Robert "Zeke" Ziel, a long-term analyst and fire behavior specialist for the State of Alaska, Zeke gives an overview of the past and current tools used in Alaska (and elsewhere) for Landscape Risk Assessment and exposure to wildfire. Modeling is more art than science in that the…
Year: 2015
Type: Media
Source: FRAMES
Massman
Increased use of prescribed fire by land managers and the increasing likelihood of wildfires due to climate change require an improved modeling capability of extreme heating of soils during fires. This issue is addressed here by developing and testing the soil (heat-moisture-…
Year: 2015
Type: Document
Source: FRAMES
Rappold
A recent study of simulated forecast-based interventions as a tool to reduce the health and economic burden during smoke episodes. The study illustrated a large health burden associated with these events and the potential benefit an adaptation of current forecasting technologies…
Year: 2015
Type: Media
Source: FRAMES
Hansen
Climate and disturbance regimes are expected to change profoundly in 21st century forests. Whether and where forests may succumb to projected trends and shift to different ecosystem states is poorly resolved but essential for anticipating both ecological and social consequences…
Year: 2015
Type: Media
Source: FRAMES
Fire Dynamics Simulator (FDS) is a large-eddy simulation (LES) code for low-speed flows, with an emphasis on smoke and heat transport from fires. Smokeview (SMV) is a visualization program used to display the output of FDS and CFAST simulations.
Year: 2015
Type: Tool
Source: FRAMES
Yashwanth
The burning of an isolated leaf-like element was computationally investigated in a series of studies, motivated by recent burning experiments performed on live leaves of manzanita (Arctostaphylos glandulosa). In this study, the relative importance of heating modes, effect of…
Year: 2015
Type: Document
Source: FRAMES
Reconstruction of fire regimes through integrated paleoecological proxy data and ecological modeling
Fire is a key ecological process affecting vegetation dynamics and land cover. The characteristic frequency, size, and intensity of fire are driven by interactions between top-down climate-driven and bottom-up fuel-related processes. Disentangling climatic from non-climatic…
Year: 2015
Type: Document
Source: FRAMES
Bedía, Herrera, Gutiérrez, Benali, Brands, Mota, Moreno
Fire is an integral Earth system process, playing an important role in the distribution of terrestrial ecosystems and affecting the carbon cycle at the global scale. Fire activity is controlled by a number of biophysical factors, including climate, whose relevance varies across…
Year: 2015
Type: Document
Source: FRAMES, TTRS
Hand, Wibbenmeyer, Calkin, Thompson
Wildfires present a complex applied risk management environment, but relatively little attention has been paid to behavioral and cognitive responses to risk among public agency wildfire managers. This study investigates responses to risk, including probability weighting and risk…
Year: 2015
Type: Document
Source: FRAMES