Alaska Reference Database

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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.

 

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Displaying 21 - 30 of 14509

In this article, we propose a mathematical model for insect outbreaks coupled with wildfire disturbances and an optimization model for finding suitable wildfire frequencies. We use a refined Holling II function as a model for the nonlinear response of...

Person: Liu, Zhang
Created Year: 2022
Resource Group: Document
Source: FRAMES

The 3rd "International Conference on Fire Behavior and Risk" (ICFBR2022) took place in Alghero from May 3-6, 2022. ICBR2022 aims to involve scientists, researchers and policy makers whose activities are focused on different aspects of fires and their...

Person: Duce, Spano
Created Year:
Resource Group: Project
Source: FRAMES

Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, all of which have been...

Person: Bharany, Sharma, Frnda, Shuaib, Khalid, Hussain, Iqbal, Ullah
Created Year: 2022
Resource Group: Document
Source: FRAMES

As fire frequency and severity grow throughout the world, scientists working across a range of disciplines will increasingly need to incorporate wildfire models into their research. However, fire simulators tend to be highly complex, time-consuming to...

Person: Schumaker, Watkins, Heinrichs
Created Year: 2022
Resource Group: Document
Source: FRAMES

Purpose of Review: Climate change will continue to alter spatial and temporal variation in fire characteristics, or pyrodiversity. The causes of pyrodiversity and its consequences for biological communities are emerging as a promising research area...

Person: Jones, Ayars, Parks, Chmura, Cushman, Sanderlin
Created Year: 2022
Resource Group: Document
Source: FRAMES

This article presents a machine learning (ML) based metamodeling framework for firebrand production prediction. This framework was implemented to predict the firebrand areal mass density (FAMD) and firebrand areal number density (FAND) of landing...

Person: Jha, Zhou
Created Year: 2022
Resource Group: Document
Source: FRAMES

As wildfires in the United States are becoming more frequent and severe, mitigating the risk of wildfire ignitions from power line faults is an increasingly crucial effort. Long-term ignition prevention strategies, especially converting overhead lines...

Person: Taylor, Roald
Created Year: 2022
Resource Group: Document
Source: FRAMES

Whether triggered by natural or human-made events, wildfires are considered one of the most traumatic events to our community and environment. Thus, properly predicting wildfires continues to be an active area of research. This work showcases a...

Person: Al-Bashiti, Naser
Created Year: 2022
Resource Group: Document
Source: FRAMES

Wildfires are becoming more frequent and increasing in intensity, which results in significant threats to human life and property. Road networks play an important role in emergency activities. It is reasonable that robust road connectivity will give...

Person: Niu, Nair, Zhang, Dixit, Murray-Tuite
Created Year: 2022
Resource Group: Document
Source: FRAMES

Background: The PODs (potential operational delineations) concept is an adaptive framework for cross-boundary and collaborative land and fire management planning. Use of PODs is increasingly recognized as a best practice, and PODs are seeing growing...

Person: Thompson, O'Connor, Gannon, Caggiano, Dunn, Schultz, Calkin, Pietruszka, Greiner, Stratton, Morisette
Created Year: 2022
Resource Group: Document
Source: FRAMES