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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 The database provides a listing of fire research publications relevant to Alaska and a venue for sharing unpublished agency reports and works in progress that are not normally found in the published literature.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 - 25 of 186

An overview of the International Crown Fire Modeling Experiments in Canada's Northwest Territories.
Year: 1997
Type: Media
Source: FRAMES

Hatch, Yokelson, Stockwell, Veres, Simpson, Blake, Orlando, Barsanti
Multiple trace-gas instruments were deployed during the fourth Fire Lab at Missoula Experiment (FLAME-4), including the first application of proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOFMS) and comprehensive two-dimensional gas chromatography-time-of-flight…
Year: 2017
Type: Document
Source: FRAMES

Finney
Why is calibrating the fire behavior models important to predicting fire behavior - an interview with Mark Finney a Research Scientist at the RMRS Fire Sciences Lab. Mark highlight's considerations an analyst should make when validating fire behavior models to fire behavior.
Year: 2017
Type: Media
Source: FRAMES

Finney
Why use FSPro - an interview with Mark Finney - This tool was developed to help inform risk based decisions associated with values at risk and probability of fire impacts to those values.
Year: 2017
Type: Media
Source: FRAMES

Finney
What makes a good analyst - some thoughts from Mark Finney and his perspective of what makes a good analyst. An analyst is curious about fire behavior, they use judgement and interpretation to communicate and validate models in relation to the actual fire behavior.
Year: 2017
Type: Media
Source: FRAMES

Finney
Mark Finney provides some considerations when setting up FSPro analyses - What is it you want to know from the analysis - is it the likely hood something is going to happen or is it the potential something is going to happen? These are different questions and the analyst can…
Year: 2017
Type: Media
Source: FRAMES

Smith, Zhang
Most FVS insect and disease model extensions are a blend of process modeling and empirical relationships. Because of the process elements, insect and disease models can present unexpected results when simulated conditions are unlike those tested when the model was developed.…
Year: 1997
Type: Document
Source: TTRS

Robinson, Kurz, Pollack, Listar
A metric variant of Prognosis (also known as the Forest Vegetation Simulator) has been linked to the Western Root Disease extension, and used to explore the interaction between partial harvesting, Armillaria root disease and productivity in 24 stratified combinations of…
Year: 1997
Type: Document
Source: TTRS

McCarter
The Lanscape Management System (LMS) is an evolving Microsoft Windows™ application that integrates forest inventory information, spatial information, growth models, computer visualization software, and analysis software into a landscape-level analysis tool. This paper presents…
Year: 1997
Type: Document
Source: TTRS

Stage
The Forest Vegetation Simulator (FVS), coupled with a new key to structural classes, provided an empirical link between the Columbia River Basin SUccessional Model (CRBSUM) and the real world. The essence of CRBSUM is a set of residence times and disturbance probabilities for…
Year: 1997
Type: Document
Source: TTRS

McGaughey
Stand structure, often quantified using the percent canopy cover associated with various structural layers, is an important characteristic used when modeling ecosystem diversity and function. A model is presented, PERCOVE, that classifies individual trees in a stand into…
Year: 1997
Type: Document
Source: TTRS

Hamilton
Forest Vegetation Simulator (FVS) multipliers permit the user to tailor model performances to simulate almost any management scenario. Unfortunately, the intuitively logical choice of multipliers is not always the corrent choice and could result in biologically impossible…
Year: 1997
Type: Document
Source: TTRS

Berry, Buckley, McGarigal
The ARC/INFO system is a powerful GIS that is widely used by natural resource organizations. FRAGSTATS is an extensively used program that derives a comprehensive set of useful landscape metrics. The Forest Vegetation Simulator (FVS) is a forest growth and yield model used…
Year: 1997
Type: Document
Source: TTRS

Snowdon
The British Columbia Forest Service has recently built a suite of Windows based tools to enable its diverse client base to conduct FVS runs in a used-friendly computer environment. The tools are (1) DATAprog -- a generic treelist builder/data translator; (2) SIMprog -- a single…
Year: 1997
Type: Document
Source: TTRS

Crookston
Suppose -- a graphical user interface for the Forest Vegetation Simulator -- simplifies the task of simulating the changes in forest vegetation for a long timespan and a landscape spatial scope. This introduction of Version 1 of Suppose presents the system's goals and the…
Year: 1997
Type: Document
Source: TTRS

Johnson
The author looks back on two decades of personal experience and impressions of Prognosis history and reviews U.S. Forest Service involvement. He pays homage to the many researchers and land managers whose accumulated work over this time has brought us to today's Forest…
Year: 1997
Type: Document
Source: TTRS

From the Preface ... 'The conference organizers hoped to accomplish three primary objectives. First was to document how forest vegetation simulation is being incorporated into project-level analysis, watershed analysis, and strategic planning. This provided a forum to learn…
Year: 1997
Type: Document
Source: TTRS

Oliveira, Viegas, Raimundo
[no description entered]
Year: 1997
Type: Document
Source: TTRS

Albini, Reinhardt
[no description entered]
Year: 1997
Type: Document
Source: TTRS

Ottmar, Brown, French, Larkin
This document presents the study plan for the Fire and Smoke Model Evaluation Experiment (FASMEE). FASMEE is a large-scale interagency effort to (1) identify the critical measurements necessary to improve operational wildland fire and smoke prediction systems, (2) collect…
Year: 2017
Type: Document
Source: FRAMES

Gu
Data assimilation is a procedure to improve the state inference by assimilating the real-time observation data into dynamic systems, such as wildfire spread simulation. Various techniques are used for data assimilation, such as sequential Monte Carlo methods, also called…
Year: 2017
Type: Document
Source: FRAMES

Young, Higuera, Abatzoglou, Duffy, Hu
Statistical models using historical observations are a critical tool for anticipating future fire regimes. A key uncertainty with these models is the ability to project outside the range of historical observations, often done when making future projections. Here we investigate…
Year: 2017
Type: Document
Source: FRAMES

Lopes, Ribeiro, Viegas, Raposo
The present work addresses the problem of how wind should be taken into account in fire spread simulations. The study was based on the software system FireStation, which incorporates a surface fire spread model and a solver for the fluid flow (Navier-Stokes) equations. The…
Year: 2017
Type: Document
Source: TTRS

Campbell, Dennison, Butler
Escape routes are essential components of wildland firefighter safety, providing pre-defined pathways to a safety zone. Among the many factors that affect travel rates along an escape route, landscape conditions such as slope, low-lying vegetation density, and ground surface…
Year: 2017
Type: Document
Source: TTRS

Paci, Gelfand, Beamonte, Rodrígues, Pérez-Cabello
Recently, there has been increased interest in the behavior of wildfires. Behavior includes explaining: incidence of wildfires; recurrence times for wildfires; sizes, scars, and directions of wildfires; and recovery of burned regions after a wildfire. We study this last problem…
Year: 2017
Type: Document
Source: TTRS