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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 176 - 200 of 4714
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
Agrawal, Nelson, Low
Large wildfires (>125 hectares) in the United States account for over 95% of the burned area each year. Predicting large wildfires is imperative; however, current wildfire predictive models are region-based and computationally intensive. Using a scalable model based on easily…
Year: 2023
Type: Document
Source: FRAMES
Ouyang, Wang, Du
There is a complex interaction between lightning-caused fire behavior and the flora and fauna of the forest, which involves the influence of a large number of ecological factors. However, more comprehensive simulation studies under multi-system interactions between lightning…
Year: 2023
Type: Document
Source: FRAMES
Misios, Chrysanthou, Tsigaridis, Amiridis
The most extreme manifestation of a fire–weather interaction is the formation of pyrocumulonimbus (pyroCb) thunderstorms, triggered by super-heated updrafts, which can eject smoke at altitudes exceeding 20 Km. In this study, we investigated climate-related impacts from the most…
Year: 2023
Type: Document
Source: FRAMES
Saydirasulovich, Mukhiddinov, Djuraev, Abdusalomov, Cho
Forest fires rank among the costliest and deadliest natural disasters globally. Identifying the smoke generated by forest fires is pivotal in facilitating the prompt suppression of developing fires. Nevertheless, succeeding techniques for detecting forest fire smoke encounter…
Year: 2023
Type: Document
Source: FRAMES
Smail, Martin
A practitioner-oriented overview of LANDFIRE with a focus on fuels and how they react to modeling techniques. The subject area of discussion is the 2022 Cooks Peak fire located in northern New Mexico. This webinar is technical in its application and may offer insights for both…
Year: 2023
Type: Media
Source: FRAMES
Islam, Masud, Ahmed, Jafar, Ullah, Islam, Shatabda, Islam
Wildland fires, a natural calamity, pose a significant threat to both human lives and the environment while causing extensive economic damage. As the use of Unmanned Aerial Vehicles (UAVs) with computer vision in disaster management continues to grow, there is a rising need for…
Year: 2023
Type: Document
Source: FRAMES
Potter, Cooperdock, Veraverbeke, Walker, Mack, Goetz, Baltzer, Bourgeau-Chavez, Burrell, Dieleman, French, Hantson, Hoy, Jenkins, Johnstone, Kane, Randerson, Turetsky, Whitman, Wiggins, Rogers
Fire is the dominant disturbance agent in Alaskan and Canadian boreal ecosystems and releases large amounts of carbon into the atmosphere. Burned area and carbon emissions have been increasing with climate change, which have the potential to alter the carbon balance and shift…
Year: 2023
Type: Document
Source: FRAMES
Marjani, Ahmadi, Mahdianpari
Wildfires represent a significant natural disaster with the potential to inflict widespread damage on both ecosystems and property. In recent years, there has been a growing interest in leveraging deep learning (DL) techniques for predicting the spread of wildfires (WS). However…
Year: 2023
Type: Document
Source: FRAMES
Calef, Schmidt, Varvak, Ziel
The boreal forest of northwestern North America covers an extensive area, contains vast amounts of carbon in its vegetation and soil, and is characterized by extensive wildfires. Catastrophic crown fires in these forests are fueled predominantly by only two evergreen needle-leaf…
Year: 2023
Type: Document
Source: FRAMES
Hanes
The Canadian Forest Fire Danger Rating System (CFFDRS) is the cornerstone of contemporary fire management in Canada. Although the System is conceptually robust there are known issues, primarily based on limitations that existed over the last 75 years of its development. One area…
Year: 2022
Type: Document
Source: FRAMES
Choutri, Lagha, Meshoul, Batouche, Bouzidi, Charef
The past decade has witnessed a growing demand for drone-based fire detection systems, driven by escalating concerns about wildfires exacerbated by climate change, as corroborated by environmental studies. However, deploying existing drone-based fire detection systems in real-…
Year: 2023
Type: Document
Source: FRAMES
Saxena, Dubey, Yaghoobian
Fuel ignition potential is one of the primary drivers influencing the extent of damage in wildland and wildland-urban interface fires and it is a decisive factor in planning prescribed fires. Determining the susceptibility of fuels, which vary spatially and temporally, to fire…
Year: 2023
Type: Document
Source: FRAMES
Kim, Muminov
Wildfire poses a significant threat and is considered a severe natural disaster, which endangers forest resources, wildlife, and human livelihoods. In recent times, there has been an increase in the number of wildfire incidents, and both human involvement with nature and the…
Year: 2023
Type: Document
Source: FRAMES
Pan, Zhang
Wildfire is a growing concern worldwide with significant impacts on human lives and the environment. This study aimed to provide an overview of the current trends and research gaps in wildfire prediction by conducting a bibliometric analysis of papers in the Web of Science and…
Year: 2023
Type: Document
Source: FRAMES
Alkhatib, Sahwan, Alkhatieb, Schütt
Due to the harm forest fires cause to the environment and the economy as they occur more frequently around the world, early fire prediction and detection are necessary. To anticipate and discover forest fires, several technologies and techniques were put forth. To forecast the…
Year: 2023
Type: Document
Source: FRAMES
Ahmad, Khan, Ahmed, Driss, Boulila, Alazeb, Alsulami, Alshehri, Ghadi, Ahmad
Background: Forests cover nearly one-third of the Earth’s land and are some of our most biodiverse ecosystems. Due to climate change, these essential habitats are endangered by increasing wildfires. Wildfires are not just a risk to the environment, but they also pose public…
Year: 2023
Type: Document
Source: FRAMES
Lamborn, Smith
In a rapidly changing environment where fires are becoming more frequent and severe, scientists and managers need information and tools to enhance understanding of the numerous ways in which fire can affect fisheries. We used Ostrom's social–ecological systems framework to…
Year: 2023
Type: Document
Source: FRAMES
Hanberry
Pollen reconstructions of tree genera in North America since glaciation are available, but species distributions predicted for paleoclimate based on tree inventories may inform knowledge gaps. Here I examined the distributions of 25 species or species groups from 20 000 years…
Year: 2023
Type: Document
Source: FRAMES