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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 11 - 20 of 14100

A consensus about the fire-related soil carbon (C) and nitrogen (N) impacts that determine soil health and ecosystem services at the global scale remains elusive. Here, we conducted a global meta-analysis of 3173 observations with 1444, 1334, 228 and...

Person: Li, Pei, Liu, Wu, Li, Fang, Nie
Year: 2021
Resource Group: Document
Source: FRAMES

No single factor produces wildfires; rather, they occur when fire thresholds (ignitions, fuels, and drought) are crossed. Anomalous weather events may lower these thresholds and thereby enhance the likelihood and spread of wildfires. Climate change...

Person: Pausas, Keeley
Year: 2021
Resource Group: Document
Source: FRAMES

The USDA, USFS, and USGS have put together a new Burn Severity Portal, which is a single access point for as much post-fire mapping and field plot data as possible. The portal includes data gathered through a wide range of federal programs including:...

Person:
Year: 2021
Resource Group: Website
Source: FRAMES

The effectiveness of a fuelbreak, created in a homogeneous grassland on a flat terrain, was studied numerically. The analysis relies on 3D numerical simulations that were performed using a detailed physical-fire-model (FIRESTAR3D) based on a multiphase...

Person: Frangieh, Accary, Rossi, Morvan, Meradji, Marcelli, Chatelon
Year: 2021
Resource Group: Document
Source: FRAMES

Smouldering wildfire is an important disturbance to peatlands worldwide; it contributes significantly to global carbon emissions and provides positive feedback to climate change. Herein, we explore the feasibility of firebreaks to control smouldering...

Person: Lin, Liu, Huang
Year: 2021
Resource Group: Document
Source: FRAMES

As organic porous soil, peat is prone to self-heating ignition, a type of spontaneous initiation of fire that can take place at ambient temperatures without an external source. Despite the urgency to tackle peat fires, the understanding of the self-...

Person: Yuan, Restuccia, Rein
Year: 2021
Resource Group: Document
Source: FRAMES

WindNinja, a tool developed by RMRS scientists, delivers high-resolution wind predictions within seconds for emergency fire responders making on-the-ground decisions. The program computes spatially-varying wind fields to help predict winds at small...

Person: Clark
Year: 2021
Resource Group: Document
Source: FRAMES

An open source computational fluid dynamics (CFD) solver has been incorporated into the WindNinja modeling framework. WindNinja is widely used by wildland fire managers, as well as researchers and practitioners in other fields, such as wind energy,...

Person: Wagenbrenner, Forthofer, Page, Butler
Year: 2019
Resource Group: Document
Source: FRAMES

Greg Dillon of the USDA Forest Service's Fire Modeling Institute (FMI) gives an overview of the work FMI does in wildland fire.

Webinar hosted by National Weather Service IMET.

Person: Dillon
Year: 2021
Resource Group: Media
Source: FRAMES

In recent years, there have been rapid improvements in both remote sensing methods and satellite image availability that have the potential to massively improve burn severity assessments of the Alaskan boreal forest. In this study, we utilized recent...

Person: Smith, Panda, Bhatt, Meyer, Badola, Hrobak
Year: 2021
Resource Group: Document
Source: FRAMES