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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 1 - 10 of 3611

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 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

Fuel moisture content (FMC) of live vegetation is a crucial wildfire risk and spread rate driver. This study presents the first daily FMC product at a global scale and 500 m pixel resolution from the Moderate Resolution Imaging Spectroradiometer (MODIS...

Person: Quan, Yebra, Riaño, He, Lai, Liu
Year: 2021
Resource Group: Document
Source: FRAMES

Alaska has witnessed a significant increase in wildfire events in recent decades that have been linked to drier and warmer summers. Forest fuel maps play a vital role in wildfire management and risk assessment. Freely available multispectral datasets...

Person: Badola, Panda, Roberts, Waigl, Bhatt, Smith, Jandt
Year: 2021
Resource Group: Document
Source: FRAMES

Alaska is faced with a unique fire management problem that has been handled in an interagency way for more than 30 years. The evolution of fire management has led to a different approach in interagency cooperation; weather data management; fire...

Person: Ziel, Moore
Year: 2021
Resource Group: Document
Source: FRAMES

The Rothermel fire spread model provides the scientific basis for the US National Fire Danger Rating System (NFDRS) and several other important fire management applications. This study proposes a new perspective of the model that partitions the...

Person: Fujioka, Weise, Chen, Kim, Kafatos
Year: 2021
Resource Group: Document
Source: FRAMES

Wildfires in the U.S. are growing in extent and severity, causing billions of dollars in damage each year. Wildfire policy has increased its focus on integrating fire suppression with risk mitigation through fuel reduction. In this context incentives...

Person: Langpap, Wu
Year: 2021
Resource Group: Document
Source: FRAMES

In the context of widespread ecological changes, land managers and policymakers confront the need to prioritize ecosystem restoration and fuel management activities across large areas to sustain ecosystem services. Reference conditions inform...

Person: Blankenship, Swaty, Hall, Hagen, Pohl, Shlisky, Patton, Frid, Smith
Year: 2021
Resource Group: Document
Source: FRAMES

Over the past few years, numerous large-scale disasters have occurred due to wildfires at the wildland-urban interface (WUI). In these fires, spread via the transport of firebrands (burning embers) plays a significant role. Several models have been...

Person: Hajilou, Hu, Roche, Garg, Gollner
Year: 2021
Resource Group: Document
Source: FRAMES

Wildfire behavior predictions typically suffer from significant uncertainty. However, wildfire modeling uncertainties remain largely unquantified in the literature, mainly due to computing constraints. New multifidelity techniques provide a promising...

Person: Valero, Jofre, Torres
Year: 2021
Resource Group: Document
Source: FRAMES