Fire interactions between multiple 1 m tall, 0.7 m diameter chamise shrubs was studied utilizing the Wildland-Urban Interface Fire Dynamics Simulator (WFDS, Mell et al., 2009). Two shrub arrangements were investigated. First, nine shrubs were placed in...
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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.
Displaying 1 - 10 of 13909
Person: Shannon, Anand, Shotorban, Mahalingam
Year: 2020
Resource Group: Document
Source: FRAMES
Fire offers a special perspective by which to understand the Earth being remade by humans. Fire is integrative, so intrinsically interdisciplinary. Fire use is unique to humans, so a tracer of humanity's ecological impacts. Anthropogenic fire history...
Person: Pyne
Year: 2020
Resource Group: Document
Source: FRAMES
he Landscape Change Monitoring System (LCMS) is a remote sensing-based system for mapping and monitoring landscape change across the United States. LCMS produces annual maps depicting change (vegetation loss and vegetation gain), land cover, and land...
Person: Healey, Yang, Cohen, Moisen, Megown, Pugh, Gorelick, Steinwand, Vogelmann, Stehman, Huang, Kennedy, Woodcock, Zhu, Finco, Goetz, Housman, Campbell, Lecker
Year: 2020
Resource Group: Tool
Source: FRAMES
The Landscape Change Monitoring System (LCMS) is an important new dataset and tool that allows the user to create landscape scale historical disturbance maps. LCMS combines satellite imagery with other monitoring data to produce annual maps showing...
Person: Healey
Year: 2020
Resource Group: Document
Source: FRAMES
Background Predictive models of post-fire tree and stem mortality are vital for management planning and understanding fire effects. Post-fire tree and stem mortality have been traditionally modeled as a simple empirical function of tree defenses (e.g...
Person: Cansler, Hood, van Mantgem, Varner
Year: 2020
Resource Group: Document
Source: FRAMES
This paper presents an accuracy assessment of the main global scale Burned Area (BA) products, derived from daily images of the Moderate-Resolution Imaging Spectroradiometer (MODIS) Fire_CCI 5.1 and MCD64A1 C6, as well as the previous versions of both...
Person: Moreno-Ruiz, García-Lázaro, Arbelo, Cantón-Garbín
Year: 2020
Resource Group: Document
Source: FRAMES
The 2019 McKinley Fire devastated a 10-mile stretch of homes along Alaska's Parks Highway. This video describes the fire and its aftermath through interviews with residents and fire professionals, and discusses ways to protect structures from wildfires...
Person:
Year: 2020
Resource Group: Media
Source: FRAMES
Biomass burning is one of the critical components of the Earth system, significantly affecting atmospheric emissions and carbon budgets. Fires occurring in the interface between wildland and urban areas also have important socioeconomic effects,...
Person: Pettinari, Chuvieco
Year: 2020
Resource Group: Document
Source: FRAMES
Fine particulate matter, PM2.5, has been documented to have adverse health effects, and wildland fires are a major contributor to PM2.5 air pollution in the USA. Forecasters use numerical models to predict PM2.5 concentrations to warn the public of...
Person: Majumder, Guan, Reich, O'Neill, Rappold
Year: 2020
Resource Group: Document
Source: FRAMES
Every year, wildland fires seem to be more unpredictable, causing losses of both lives and property. Without a better understanding of the detailed mechanisms and underlying physical processes of wildland fire spread, our ability to predict, mitigate...
Person: McAllister
Year: 2020
Resource Group: Media
Source: FRAMES