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Keyword: fuel loading

Bayesian techniques for surface fuel loading estimation

Publications Posted on: September 13, 2016
A study by Keane and Gray (2013) compared three sampling techniques for estimating surface fine woody fuels. Known amounts of fine woody fuel were distributed on a parking lot, and researchers estimated the loadings using different sampling techniques. An important result was that precise estimates of biomass required intensive sampling for both the planar intercept and fixed-area plot methods.

Pre-fire and post-fire surface fuel and cover measurements collected in the southeastern United States for model evaluation and development - RxCADRE 2008, 2011 and 2012

Publications Posted on: January 21, 2016
A lack of independent, quality-assured data prevents scientists from effectively evaluating predictions and uncertainties in fire models used by land managers. This paper presents a summary of pre-fire and post-fire fuel, fuel moisture and surface cover fraction data that can be used for fire model evaluation and development.

Tenderfoot Research Project: Fuel loading and postburn tree mortality data

Datasets Posted on: March 27, 2015
This product contains fuel loading, overstory tree mortality and burn severity data associated with the Tenderfoot Creek Experimental Forest Vegetative Treatment Research Project between 2000 and 2009. The project is located on the Tenderfoot Creek Experimental Forest (TCEF) which is north of White Sulphur Springs, Montana.

Ground measurements of fuel and fuel consumption from experimental and operational prescribed fires at Eglin Air Force Base, Florida

Publications Posted on: September 29, 2014
Ground-level measurements of fuel loading, fuel consumption, and fuel moisture content were collected on nine research burns conducted at Eglin Air Force Base, Florida in November, 2012. A grass or grass-shrub fuelbed dominated eight of the research blocks; the ninth was a managed longleaf pine (Pinus palustrus) forest. Fuel loading ranged from 1.7 Mg ha-1 on a sparsely vegetated grass site to 19.9 Mg ha-1 on the managed longleaf pine site.

Comparing three sampling techniques for estimating fine woody down dead biomass

Publications Posted on: September 29, 2014
Designing woody fuel sampling methods that quickly, accurately and efficiently assess biomass at relevant spatial scales requires extensive knowledge of each sampling method's strengths, weaknesses and tradeoffs.

Short- and long-term effects on fuels, forest structure, and wildfire potential from prescribed fire and resource benefit fire in southwestern forests, USA

Publications Posted on: September 14, 2012
Prescribed and resource benefit fires are used to manage fuels in fire-prone landscapes in the Southwest. These practices, however, typically occur under different conditions, potentially leading to differences in fire behavior and effects.

Spatial scaling of wildland fuels for six forest and rangeland ecosystems of the northern Rocky Mountains, USA

Publications Posted on: August 28, 2012
Wildland fuels are important to fire managers because they can be manipulated to achieve management goals, such as restoring ecosystems, decreasing fire intensity, minimizing plant mortality, and reducing erosion. However, it is difficult to accurately measure, describe, and map wildland fuels because of the great variability of wildland fuelbed properties over space and time.

A surface fuel classification for estimating fire effects

Publications Posted on: March 04, 2010
We present a classification of duff, litter, fine woody debris, and logs that can be used to stratify a project area into sites with fuel loading that yield significantly different emissions and maximum soil surface temperature. Total particulate matter smaller than 2.5?m in diameter and maximum soil surface temperature were simulated using the First Order Fire Effects Model.

Field guide for identifying fuel loading models

Publications Posted on: April 29, 2009
This report details a procedure for identifying fuel loading models (FLMs) in the field. FLMs are a new classification system for predicting fire effects from on-site fuels. Each FLM class represents fuel beds that have similar fuel loadings and produce similar emissions and soil surface heating when burned using computer simulations.

Be careful what you wish for: The legacy of Smokey Bear

Publications Posted on: July 06, 2007
A century of wildfire suppression in the United States has led to increased fuel loading and large-scale ecological change across some of the nation's forests. Land management agencies have responded by increasing the use of prescribed fire and thinning.