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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 1 - 25 of 119
Badhan, Shamsaei, Ebrahimian, Bebis, Lareau, Rowell
The rising severity and frequency of wildfires in recent years in the United States have raised numerous concerns regarding the improvement in wildfire emergency response management and decision-making systems, which require operational high temporal and spatial resolution…
Year: 2024
Type: Document
Source: FRAMES
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
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
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
Taylor, Alexander
The Canadian Forest Fire Behavior Prediction (FBP) System is a systematic method for assessing wildland fire behavior potential. This field guide provides a simplified version of the system, presented in tabular format. It was prepared to assist field staff in making first…
Year: 2018
Type: Document
Source: FRAMES
Cruz, Alexander, Sullivan
This paper represents our response to the questioning by Mell et al. (2018) of our interpretation (Cruz et al. 2017) of five generalised statements or mantras commonly repeated in the wildland fire behaviour modelling literature. We provide further clarity on key subjects and…
Year: 2018
Type: Document
Source: FRAMES
Rupp, Bieniek, Ziel, Bhatt
Meeting on Thursday November 29th, 2018 at the Alaska Fire Service on the Alaska Climate Adaption Science Center Wildfire Forecasting. Presenters include: Scott Rupp, Peter Bieniek, Robert (Zeke) Ziel, and Uma Bhatt
Year: 2018
Type: Media
Source: FRAMES
Yuan, Wang, Wu, Gao, Sun
Traditional wildfire detection methods are of low efficiency and cannot meet user needs, a novel method based on deep time and space features along transmission line is proposed in this paper, which uses ViBe algorithm to detect movements in videos, and extracts static deep…
Year: 2018
Type: Document
Source: FRAMES
Malevich, Guiterman, Margolis
We developed a new software package, burnr, for fire history analysis and plotting in the R statistical programming environment. It was developed for tree-ring fire-scar analysis, but is broadly applicable to other event analyses (e.g., avalanches, frost rings, or culturally…
Year: 2018
Type: Document
Source: FRAMES
Fill
Mitigating smoke impacts on human health and safety is one of the challenges that landowners and agencies face when conducting prescribed burns. Particulate matter (PM) in smoke, produced by the combustion of fuels during burning, can aggravate respiratory ailments and reduce…
Year: 2018
Type: Document
Source: FRAMES
Jolly, Bradshaw, Freeborn
Year: 2018
Type: Media
Source: FRAMES
Tian, Wang, Zhou, Wang
Forest disturbances provide an important reference and a basis for studying the carbon cycle, biodiversity, and eco-social development. Remote sensing is a promising data source for monitoring forest ecosystem dynamics and detecting disturbance areas. This research used a…
Year: 2018
Type: Document
Source: FRAMES
Moore, Ziel, Saperstein
Organized by the AWFCG Fire Modeling & Analysis Committee (FMAC), this webinar is meant to help listeners get ready for the upcoming fire season in Alaska. Speakers and topics included: Chris Moore on 2017 Fire Modeling Case Studies (AKA "Have you considered elevation in…
Year: 2018
Type: Media
Source: FRAMES
Arora, Melton
The terrestrial biosphere currently absorbs about 30% of anthropogenic CO2 emissions. This carbon uptake over land results primarily from vegetation’s response to increasing atmospheric CO2 but other factors also play a role. Here we show that since the 1930s increasing…
Year: 2018
Type: Document
Source: FRAMES