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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 28

We examined landscape exposure to wildfire potential, insects and disease risk, and urban and exurban development for the conterminous US (CONUS). Our analysis relied on spatial data used by federal agencies to evaluate these stressors nationally. We...

Person: Kerns, Kim, Kline, Day
Year: 2016
Resource Group: Document
Source: TTRS

Understanding species diversity and disturbance relationships is important for biodiversity conservation in disturbance-driven boreal forests. Species richness and evenness may respond differently with stand development following fire. Furthermore, few...

Person: Yeboah, Chen, Kingston
Year: 2016
Resource Group: Document
Source: TTRS

Context. Fine-scale ecological data collected across broad regions are becoming increasingly available. Appropriate geographic analyses of these data can help identify locations of ecological concern.Objectives. We present one such approach, spatial...

Person: Potter, Koch, Oswalt, Iannone
Year: 2016
Resource Group: Document
Source: TTRS

The field of conservation genetics, when properly implemented, is a constant juggling act integrating molecular genetics, ecology, and demography with applied aspects concerning managing declining species or implementing conservation laws and policies...

Person: Haig, Miller, Bellinger, Draheim, Mercer, Mullins
Year: 2016
Resource Group: Document
Source: TTRS

Surface fire intensity (kilowatts per metre) and crown fire initiation were predicted using Rothermel's 1972 and Van Wagner's 1977 fire models with fuel data from 47 upland subalpine conifer stands (comprising Pinus contorta var. latifolia,...

Person: Bessie, Johnson
Year: 1995
Resource Group: Document
Source: FRAMES, TTRS

For decades detection and monitoring of forest and other wildland fires has relied heavily on aircraft (and satellites). Technical advances and improved affordability of both sensors and sensor platforms promise to revolutionize the way aircraft detect...

Person: Allison, Johnston, Craig, Jennings
Year: 2016
Resource Group: Document
Source: FRAMES

Recent concurrent widespread fires in Alaska are evaluated to assess their associated synoptic-scale weather conditions. Several periods of high fire activity from 2003 to 2015 were identified using Moderate Resolution Imaging Spectroradiometer (MODIS...

Person: Hayasaka, Tanaka, Bieniek
Year: 2016
Resource Group: Document
Source: FRAMES

Permafrost presence is determined by a complex interaction of climatic, topographic, and ecological conditions operating over long time scales. In particular, vegetation and organic layer characteristics may act to protect permafrost in regions with a...

Person: Jones, Baughman, Romanovsky, Parsekian, Babcock, Stephani, Jones, Grosse, Berg
Year: 2016
Resource Group: Document
Source: FRAMES

Presentation to the Interagency Arctic Research Policy Committee Arctic Data Collaboration Team Meeting September 2016 by Eric Miller on behalf of the Wildfires Collaboration Team.

Person: Miller
Year: 2016
Resource Group: Media
Source: FRAMES

Mike Hatfield talks with fire managers about potential use of Alaska Center for Unmanned Aircraft Systems Integration assets at the Spring 2016 IMT/FMO meeting, April 1, 2016.

Person: Hatfield
Year: 2016
Resource Group: Media
Source: FRAMES