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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 151 - 175 of 4308
Arrogante-Funes, Aguado, Chuvieco
Background: Fire is a natural disturbance that significantly impacts ecosystems and plays a crucial role in the distribution and preservation of biota worldwide. The effects of fires on bird diversity can be both positive, as they can create new habitats, and negative, as they…
Year: 2024
Type: Document
Source: FRAMES
Song, Xu, Li, Oppong
Wildfire causes environmental, economic, and human problems or losses. This study reviewed wildfires induced by lightning strikes. This review focuses on the investigations of lightning mechanisms in the laboratory. Also, the paper aims to discuss some of the modeling studies on…
Year: 2024
Type: Document
Source: FRAMES
Purnomo, Christensen, Fernandez-Anez, Rein
Background: Smouldering peatland wildfires can last for months and create a positive feedback for climate change. These flameless, slow-burning fires spread horizontally and vertically and are strongly influenced by peat moisture content. Most models neglect the non-uniform…
Year: 2024
Type: Document
Source: FRAMES
Campbell-Lochrie, Gallagher, Skowronski, Hadden
Background: Fifty years after its initial publication, Rothermel’s model continues to underpin many operational fire modelling tools. Past authors have, however, suggested a possible oversensitivity of the Rothermel model to fuel depth in certain fuel types.
Aims: To evaluate…
Year: 2024
Type: Document
Source: FRAMES
Zhang, Wang, Yang, Liu
Global climate change and extreme weather has a profound impact on wildfire, and it is of great importance to explore wildfire patterns in the context of global climate change for wildfire prevention and management. In this paper, a wildfire spatial prediction model based on…
Year: 2024
Type: Document
Source: FRAMES
Ahmed, Trouve, Forthofer, Finney
Our objective in the present study is to provide basic insights into the coupling between external-gas and solid biomass vegetation processes that control the dynamics of flame spread in wildland fire problems. We focus on a modeling approach that resolves processes occurring at…
Year: 2024
Type: Document
Source: FRAMES
Xu, Li, Zhang, Liu, Zhang
In the context of large-scale fire areas and complex forest environments, the task of identifying the subtle features and aspects of fire can pose a significant challenge for the deep learning model. As a result, to enhance the model’s ability to represent features and its…
Year: 2024
Type: Document
Source: FRAMES
Li, Tang, Li, Dou, Li
Background: Extreme wildfires pose a serious threat to forest vegetation and human life because they spread more rapidly and are more intense than conventional wildfires. Detecting extreme wildfires is challenging due to their visual similarities to traditional fires, and…
Year: 2024
Type: Document
Source: FRAMES
Volkova, Fernández
Fire is an important component of many forest ecosystems, yet climate change is now modifying fire regimes all over the world, driving a need to understand the impact of fires on the physical and biological processes. In 2022, Elsevier launched a Special Collection that spanned…
Year: 2024
Type: Document
Source: FRAMES
Shinohara
Fire whirls cause strong wind damage in large outdoor fires such as wildland fires and urban fires. A model to predict the maximum tangential wind velocity in laboratory-scale fire whirls without flames in a crosswind is developed based on a generation mechanism and the…
Year: 2024
Type: Document
Source: FRAMES
Qayyum, Jamil, Alsboui, Hijjawi
Background: Understanding the intricacies of wildfire impact across diverse geographical landscapes necessitates a nuanced comprehension of fire dynamics and areas of vulnerability, particularly in regions prone to high wildfire risks. Machine learning (ML) stands as a…
Year: 2024
Type: Document
Source: FRAMES
Qayyum, Samee, Alabdulhafith, Aziz, Hijjawi
Background: Predicting wildfire progression is vital for countering its detrimental effects. While numerous studies over the years have delved into forecasting various elements of wildfires, many of these complex models are perceived as “black boxes”, making it challenging to…
Year: 2024
Type: Document
Source: FRAMES
Beyki, Santiago, Laím, Craveiro
Wildfires have become a common incident over the past decades, and they have been threatening people’s lives and assets. In the communities close to wildlands or wildland-urban interfaces (WUI), these threats become increasingly serious, and in case of wildfires, people are…
Year: 2023
Type: Document
Source: FRAMES
Masa, Kintzios, Vasileiou, Meditskos, Vrochidis, Kompatsiaris
Forest fires can have devastating effects on the environment, communities, individuals, economy, and climate change in many countries. During a forest fire crisis, massive amounts of data, such as weather patterns and soil conditions, become available. Efficient management,…
Year: 2023
Type: Document
Source: FRAMES
Macander, Nelson, Nawrocki, Frost, Orndahl, Palm, Wells, Goetz
Widespread changes in the distribution and abundance of plant functional types (PFTs) are occurring in Arctic and boreal ecosystems due to the intensification of disturbances, such as fire, and climate-driven vegetation dynamics, such as tundra shrub expansion. To understand how…
Year: 2022
Type: Document
Source: FRAMES
Weiss, Marshall, Hayes, Nicolsky, Buma, Lucash
In interior Alaska, increasing wildfire activity associated with climate change is projected to continue, potentially altering regional forest composition. Conifers are emblematic of boreal forest; however, greater frequency and severity of wildfires has been found to favor…
Year: 2023
Type: Document
Source: FRAMES
Loeffler, Brandt, Morgan, Jones
This annotated bibliography is a synthesis of information products available to land managers in the western United States regarding economic and financial aspects of forestry-based woody biomass removal, a component of fire hazard and/or fuel reduction treatments. This…
Year: 2010
Type: Document
Source: FRAMES
Shi, Levy, Remer, Mattoo, Arnold
Starting from point sources, wildfire smoke is important in the global aerosol system. The ability to characterize smoke near-source is key to modeling smoke dispersion and predicting air quality. With hemispheric views and 10-min refresh, imagers in Geostationary (GEO) orbit…
Year: 2024
Type: Document
Source: FRAMES
Anthony, Applestein, Germino
Aims: Invasion by annual grasses (IAGs) and concomitant increases in wildfire are impacting many drylands globally, and an understanding of factors that contribute to or detract from community resistance to IAGs is needed to inform postfire restoration interventions. Prefire…
Year: 2023
Type: Document
Source: FRAMES
Lu, Liu, Ke, Zhang, Ma, Fan
The vertical distribution of biomass burning aerosol (BBA) is important in regulating their impacts on weather and climate. The plume-rise process affects the injection height of BBA and interacts with the air parcel lifting and cloud processes. However, these processes are not…
Year: 2024
Type: Document
Source: FRAMES
Mankame, Shotorban
Spot fires created by wind–carrying firebrands are common in wildland–urban interface (WUI) fires. Firebrand deposition over cubic blocks in tandem and parallel arrangements representing simplified nearby small structures in WUI was studied. The flow turbulence was modeled by …
Year: 2023
Type: Document
Source: FRAMES
Nim, Morris, Tekasakul, Dejchanchaiwong
Peatland fires are one of the major global sources of atmospheric particles. Emission factors for fine (PM1 and PM2.5) and ultrafine (PM0.1) particles and particle-bound polycyclic aromatic hydrocarbons (PAHs) from plants in the peat swamp forest (PSF), including Melaleuca…
Year: 2023
Type: Document
Source: FRAMES
Wadhwani, Sutherland, Moinuddin, Huang
Background: Wildfire often shows complex dynamic behaviour due to the inherent nature of ambient conditions, vegetation and ignition patterns. Merging fire is one such dynamic behaviour that plays a critical role in the safety of structures and firefighters.
Aim & method:…
Year: 2023
Type: Document
Source: FRAMES
Wang, Ihme, Linn, Chen, Yang, Sha, Clements, McDanold, Anderson
Background: Wildfires are becoming more severe, so we need improved tools to predict them over a wide range of conditions and scales. One approach towards this goal entails the use of coupled fire/atmosphere modelling tools. Although significant progress has been made in…
Year: 2023
Type: Document
Source: FRAMES
Zema, Parhizkar, Plaza-Álvarez, Xu, Lucas-Borja
Prescribed fire is a viable practice to reduce the wildfire risk in forests, but its application may lead to increased surface runoff and soil erosion. Several hydrological and erosive models have been proposed and evaluated to predict the changes in soil hydrology and erosion…
Year: 2023
Type: Document
Source: FRAMES