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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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 51 - 75 of 4502

Almeida, Viegas, Ribeiro
The ninth International Conference on Forest Fire Research, together with the 17th International Wildland Fire Safety Summit was held in November 2022. This joint conference brought together several hundred presentations in the field of wildfire research. This special issue of…
Year: 2023
Type: Document
Source: FRAMES

Giglio, Kendall
The demand for improved information on regional and global fire activity in the context of land use/land cover change, ecosystem disturbance, climate modeling, and natural hazards has increased efforts in recent years to improve earth-observing satellite sensors and associated…
Year: 2001
Type: Document
Source: FRAMES

Marshall, Linn, Holmes, Goodrick, Thompson, Hemmati
Many wildfire behaviour modeling studies have focused on fires during extreme conditions, where the dominant processes are resolved and smaller-scale variations have less influence on fire behaviour. As such, wildfire behaviour models typically perform well for these cases.…
Year: 2023
Type: Document
Source: FRAMES

La Puma
Inga La Puma, Fire Scientist & Technical Lead* discusses the nuanced role that LANDFIRE plays as it provides foundational data for multiple tools within the natural resource community. 0:00 Intro 0:58 What's LANDFIRE? 1:29 LANDFIRE Milestones 2:36 Interrelationship between…
Year: 2022
Type: Media
Source: FRAMES

Stevens, Dillon, Manley, Povak, Nepal
Introduction to SCIENCE x Day 4, brief overview by Jens StevensDelivering wildfire risk information targeted to the community level, presented by Greg DillonJuggling risks and tradeoffs toward a more resilient future: the known, unknown, unknowable, and the unpleasant, presented…
Year: 2023
Type: Media
Source: FRAMES

Perez-Ramirez, Graziani, Santoni, Ziegler, Hoffman, Mell, Tihay-Felicelli, Ganteaume
Research applications of three-dimensional, time-dependent, computational fluid dynamics fire behavior models, such as the Wildland Urban Interface Fire Dynamics Simulator (WFDS) [1,2], FIRETEC [3], or FIRESTAR3D [4], are progressively increasing. This is due to advances in…
Year: 2022
Type: Document
Source: FRAMES

Graziani, Meerpoel-Pietri, Tihay-Felicelli, Santoni, Morandini, Perez-Ramirez, Mell
Among the vectors of fire propagation towards buildings in the WUI, ornamental hedges have been identified as one of the main elements [1]. In terms of regulations, there is no global consensus on the distances between ornamental plants and buildings. Consequently, it is…
Year: 2022
Type: Document
Source: FRAMES

Fayad, Accary, Sutherland, Meradji, Frangieh, Moinuddin, Morvan, Chatelon, Rossi
Junction fires involve the merging of two linear fire fronts intersecting at a small angle which gives rise to an interaction process with fire-induced convective flows that modify the behavior of both fires and produce very large values of the rate of spread (ROS) of the inner…
Year: 2022
Type: Document
Source: FRAMES

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

The SCIENCEx webinar series brings together scientists and land management experts from across U.S. Forest Service research stations and beyond to explore the latest science and best practices for addressing large natural resource challenges across the country. These webinars…
Year: 2023
Type: Media
Source: FRAMES

This IFTDSS (Interagency Fuels Treatment Decision Support System) course is available anytime on the Wildland Fire Learning Portal. You can enroll yourself in this on-demand online course once you enter the Wildland Fire Learning Portal. Select "How to Use IFTDSS for Rx Burn…
Year: 2023
Type: Course
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