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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 51 - 75 of 3951
Heilman
The behaviour of wildland fires and the dispersion of smoke from those fires can be strongly influenced by atmospheric turbulent flow. The science to support that assertion has developed and evolved over the past 100+ years, with contributions from laboratory and field…
Year: 2023
Type: Document
Source: FRAMES
Grabinski
[from the text] June 2022 in Alaska was a remarkable month for wildfire. An incredible 1.84 million acres burned, nearly tying the all-time record for June. Notably, 1.2 million acres burned in southwestern Alaska, more than doubling the area burned in that region since the…
Year: 2022
Type: Document
Source: FRAMES
Jandt, Grabinski
The 2nd Alaska Fire Science Consortium (AFSC) Research-to-Operations (R2O) workshop convened May 12-13 at the University of Alaska Murie Building.The 1.5-day workshop was held following NASA ABoVE’s 8th Annual Science Team Meeting as an opportunity for researchers and managers…
Year: 2023
Type: Document
Source: FRAMES
Darwish Ahmad, Akafuah, Forthofer, Fuchihata, Hirasawa, Kuwana, Nakamura, Sekimoto, Saito, Williams
The authors are a team of fire whirl researchers who have been actively studying whirls and large-scale wildland fires by directly observing them through fire-fighting efforts and applying theory, scale modeling, and numerical simulations in fire research. This multidisciplinary…
Year: 2023
Type: Document
Source: FRAMES
Gao, Schwilk
In ecosystems where trees and grasses coexist, some grass species are found only in open habitats and others persist under trees. The persistence of shade intolerant grasses in ecosystems such as open woodlands and savannas depends on recurrent fires to open the tree canopy.…
Year: 2022
Type: Document
Source: FRAMES
Ascoli, Moris, Sil, Fernandes
Rothermel-based decision support systems are widespread for fire behavior prediction and wildfire risk analysis. The majority of these systems simulate the rate of spread (Ros) of a surface fire, and linked models (e.g., MTT), using as the input a set of Standard Fuel Model (SFM…
Year: 2022
Type: Document
Source: FRAMES
Buma
Temperatures in high-latitude environments are rising quickly, leading to increases in the frequency and intensity of wildfires. This trend is especially important in the boreal where fire return intervals have shrunk from between 100-300 years to often less than 20 years.…
Year: 2022
Type: Document
Source: FRAMES
Shinneman, Strand, Pellant, Abatzoglou, Brunson, Glenn, Heinrichs, Sadegh, Vaillant
Sagebrush ecosystems in the United States have been declining since EuroAmerican settlement, largely due to agricultural and urban development, invasive species, and altered fire regimes, resulting in loss of biodiversity and wildlife habitat. To combat continued conversion to…
Year: 2023
Type: Document
Source: FRAMES
Ambrosia, Green, Falkowski, Lefer, Seablom, Kopardekar, Grindle
In 2021, the U.S. National Aeronautics & Space Administration (NASA) initiated new programmatic elements within the Science Mission Directorate (SMD) and the Aeronautics Research Mission Directorate (ARMD) focused on supporting wildland fire science and applications…
Year: 2022
Type: Document
Source: FRAMES
Dickman, Jonko, Linn, Altintas, Atchley, Bär, Collins, Dupuy, Gallagher, Hiers, Hoffman, Hood, Hurteau, Jolly, Josephson, Loudermilk, Ma, Michaletz, Nolan, O'Brien, Parsons, Feltrin, Pimont, de Dios, Restaino, Robbins, Sartor, Schultz-Fellenz, Serbin, Sevanto, Shuman, Sieg, Skowronski, Weise, Wright, Xu, Yebra, Younes
Wildfires are a global crisis, but current fire models fail to capture vegetation response to changing climate. With drought and elevated temperature increasing the importance of vegetation dynamics to fire behavior, and the advent of next generation models capable of capturing…
Year: 2023
Type: Document
Source: FRAMES
Baijnath-Rodino, Le, Foufoula-Georgiou, Banerjee
This study 1) identifies the seasons and biomes that exhibit significant (1980–2019) changes in fire danger potential, as quantified by the Canadian Fire Weather Index (FWI); 2) explores what types of fire behavior potentials may be contributing to changes in fire danger…
Year: 2023
Type: Document
Source: FRAMES
Ghodrat, Shakeriaski, Fanaee, Simeoni
Wildfires are complex phenomena, both in time and space, in ecosystems. The ability to understand wildfire dynamics and to predict the behaviour of the propagating fire is essential and at the same time a challenging practice. A common approach to investigate and predict such…
Year: 2023
Type: Document
Source: FRAMES
Haas, Prentice, Harrison
Fire is an important influence on the global patterns of vegetation structure and composition. Wildfire is included as a distinct process in many dynamic global vegetation models but limited current understanding of fire regimes restricts these models' ability to reproduce more…
Year: 2022
Type: Document
Source: FRAMES
Hood, Varner, Jain, Kane
Background: Wildland fires are fundamentally landscape phenomena, making it imperative to evaluate wildland fire strategic goals and fuel treatment effectiveness at large spatial and temporal scales. Outside of simulation models, there is limited information on how stand-level…
Year: 2022
Type: Document
Source: FRAMES
Manzello, Suzuki
Large outdoor fires have become commonplace all over the world. The International Organization for Standardization (ISO) defines large outdoor fires as an urban fire, tsunami-generated fire, volcano-generated fire, wildland-urban interface (WUI) fire, wildland fire, or informal…
Year: 2023
Type: Document
Source: FRAMES
Yoo, Song
This paper proposes a new method for rapid prediction of wildfire spread, which employs computational wildfire simulations by FARSITE and assimilates the simulation results with actual observation data by means of an ensemble Kalman filter. To expedite data assimilation, the…
Year: 2023
Type: Document
Source: FRAMES
Since 1998, the Joint Fire Science Program (JFSP) has provided funding and science delivery for scientific studies associated with managing wildland fire, fuels, and fire-impacted ecosystems to respond to emerging needs of managers, practitioners, and policymakers from local to…
Year: 2022
Type: Document
Source: FRAMES
Neger, Rosas-Paz
Although humans have interacted with wildfires for millennia, a science-based approach to fire management has evolved in recent decades. This paper reviews the development of fire-management research, focusing on publications that use this term in their title, abstract, or…
Year: 2022
Type: Document
Source: FRAMES
Cruz, Alexander
[From the Introduction] In the October-December 2019 issue of WILDFIRE, we described a recently developed rule of thumb for estimating a wildfire’s forward spread rate when burning conditions are severe, namely when wind speeds are high and fuels are critically dry, and the time…
Year: 2021
Type: Document
Source: FRAMES
Loudermilk, O'Brien, Goodrick, Linn, Skowronski, Hiers
Background: The structure and function of fire-prone ecosystems are influenced by many interacting processes that develop over varying time scales. Fire creates both instantaneous and long-term changes in vegetation (defined as live, dead, and decomposing plant material) through…
Year: 2022
Type: Document
Source: FRAMES
Nguyen, Wei
Selecting the optimal locations and timing for prescribed burning is challenging when considering uncertainties in weather, fire behavior, and future fire suppression. In this study, we present a sample average approximation (SAA) based multistage stochastic mixed integer…
Year: 2022
Type: Document
Source: FRAMES
Burton, Cawson, Filkov, Penman
Fallen plant material such as leaves, needles and branches form litter beds which strongly influence fire ignition and spread. Traits of the dominant species influence litter flammability directly by determining how individual leaves burn and indirectly through the structure of…
Year: 2021
Type: Document
Source: FRAMES
Cruz, Alexander, Fernandes
The suggestion has been made within the wildland fire community that the rate of spread in the upper portion of the fire danger spectrum is largely independent of the physical fuel characteristics in certain forest ecosystem types. Our review and analysis of the relevant…
Year: 2022
Type: Document
Source: FRAMES
The annual national report of the Forest Health Monitoring (FHM) program of the Forest Service, U.S. Department of Agriculture, presents forest health status and trends from a national or multistate regional perspective using a variety of sources, introduces new techniques for…
Year: 2022
Type: Document
Source: FRAMES
Belenguer-Plomer, Tanase, Chuvieco, Bovolo
In this paper, we present an in-depth analysis of the use of convolutional neural networks (CNN), a deep learning method widely applied in remote sensing-based studies in recent years, for burned area (BA) mapping combining radar and optical datasets acquired by Sentinel-1 and…
Year: 2021
Type: Document
Source: FRAMES