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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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 1247

York, Bhatt, Gargulinski, Grabinski, Jain, Soja, Thoman, Ziel
Despite the low annual temperatures and short growing seasons that are characteristic of high northern latitudes (HNL), wildland fire is the dominant ecological disturbance within the region's boreal forest, the world's largest terrestrial biome. The boreal forest, also known as…
Year: 2020
Type: Document
Source: FRAMES

Hrobak, Barnes
National Park Service Resource Brief for the Arctic Inventory and Monitory Network which briefly summarizes the status of fire extent and frequency in ARCN parks and highlights the historic fire record (WFMI) & perimeter improvements.  The brief is written for a non-…
Year: 2021
Type: Document
Source: FRAMES

Hrobak, Barnes
National Park Service web article summarizes fire effects after the 2018 Andrew Creek fire in the Yukon-Charley Rivers National preserve including permafrost and watershed effects and also taking into account the long-term climate trends in the area.
Year: 2021
Type: Document
Source: FRAMES

Xiao, Feng, Li
As an inherent element of the Earth’s ecosystem, forest and vegetation fires are one of the key contributors to and direct consequences of climate change. Given that topography is one of the key drivers of forest landscapes and fire behavior, it is important to clarify what the…
Year: 2022
Type: Document
Source: FRAMES

Masrur, Taylor, Harris, Barnes, Petrov
Although the link between climate change and tundra fire activity is well-studied, we lack an understanding of how fire, vegetation, and topography interact to either amplify or dampen climatic effects on these tundra fires at Pan-Arctic scale. This study investigated the…
Year: 2022
Type: Document
Source: FRAMES

El-Madafri, Peña, Olmedo-Torre
This study introduces a novel hierarchical domain-adaptive learning framework designed to enhance wildfire detection capabilities, addressing the limitations inherent in traditional convolutional neural networks across varied forest environments. The framework innovatively…
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

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

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

Phillips, Rogers, Elder, Cooperdock, Moubarak, Randerson, Frumhoff
Wildfires in boreal forests release large quantities of greenhouse gases to the atmosphere, exacerbating climate change. Here, we characterize the magnitude of recent and projected gross and net boreal North American wildfire carbon dioxide emissions, evaluate fire management as…
Year: 2022
Type: Document
Source: FRAMES

Zhu, Xu, Jia
Wildfire is recognized as an increasing threat to the southern boreal forests and the permafrost beneath them, with less occurring over the cold continuous permafrost than before. However, we show that continuous permafrost was a major contribution to wildfire expansion in the…
Year: 2023
Type: Document
Source: FRAMES

Yoseph, Hoy, Elder, Ludwig, Thompson, Miller
Rapid warming in Arctic tundra may lead to drier soils in summer and greater lightning ignition rates, likely culminating in enhanced wildfire risk. Increased wildfire frequency and intensity leads to greater conversion of permafrost carbon to greenhouse gas emissions. Here, we…
Year: 2023
Type: Document
Source: FRAMES

Schmidt, See
Advancing Wildfire Preparedness and Planning takes an in-depth look at the dynamic factors that are impacting wildfire occurrence for the most populated geographic area in the 49th State of Alaska, the Municipality of Anchorage (MOA). The length and severity of recent fire…
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

Lee, Jung, Suhr
In recent years, there has been a significant increase in the demand for unmanned aerial vehicle (UAV)-based monitoring systems to ensure proper emergency response during natural disasters such as wildfires, hurricanes, floods, and earthquakes. This paper proposes a real-time…
Year: 2023
Type: Document
Source: FRAMES

Hawkins, Picardi, Donnell, Ireland
Wildfires are a common problem in many areas of the world with often catastrophic consequences. A number of systems have been created to provide early warnings of wildfires, including those that use satellite data to detect fires. The increased availability of small satellites,…
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

Battistoni, Cantone, Martino, Passamano, Romano, Sebillo, Vitiello
The increasing frequency and severity of forest fires necessitate early detection and rapid response to mitigate their impact. This project aims to design a cyber-physical system for early detection and rapid response to forest fires using advanced technologies. The system…
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

Fan, Miao, Zscheischler, Slater, Wu, Chai, AghaKouchak
Fire weather compounded by extremely hot and dry conditions often severely impacts society and ecosystems. To mitigate and better adapt to these compound fire weather (CFW) events, a better understanding of recent and future CFW trends is needed. Here we show that in the period…
Year: 2023
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