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Fuel Dynamics

Research Brief Description
FastFuels: 3D Fuels for Next Generation Fire Models

FastFuels develops 3D fuels for cutting edge 3D fire modeling in support of project scale fuel treatments and prescribed fires.

Canopy Fuels Project

An extensive exploration of field, analysis, and modeling methods to describe and quantify fuels for operational fire management.

Ponderosa Pine Restoration at Lick Creek

Ponderosa Pine Restoration at Lick Creek: lessons learned after 20+ years of fuel treatments

Fuels and potential fire behavior in balsam woolly adelgid-impacted forests

We are developing a product and methodology that allows rapid assessment of fuels and potential fire hazard in forests impacted by BWA.

LANDFIRE Prototype - Mapping fuels

Development of the tools, protocols, methods, and data products for the National LANDFIRE Project.

FPARDY - Fuel PARticle DYnamics

Exploring surface and canopy fuel characteristics at the particle, layer, and fuelbed levels across major forest ecosystem types of the US northern Rocky Mountains.

STIX - New fuel sampling methods

Designing fuel sampling methods that accurately and efficiently assesses fuel loads at relevant spatial scales requires knowledge of each sample method’s strengths and tradeoffs.

FUELVAR -Fuel variability

Describing the spatial variability of wildland fuel properties.

SERDP RC20-1025

Wildfire science is currently impeded by gaps between measurements, modeling, and management. This project is using integrative efforts to close those gaps.

FUELDYN - Fuel accumulation

Measuring surface fuel litterfall and decomposition in the Northern Rocky Mountains, USA

Photoload - Visually estimating fuel loading

A new fuel loading sampling method is developed to quickly and accurately estimate loadings for six surface fuel components using downward-looking and oblique photographs depicting sequences of graduated fuel loadings by fuel component.

Camp Swift research burns

The overall goal for the project is to evaluate the Wildland-Urban Interface Fire Dynamics Simulator (WFDS), a physics-based fire behavior model, using data collected in a full-scale prescribed fire setting.

California tree mortality

Changes in fuel loading and conifer mortality risk factors due to bark beetles and drought in California.

iMast - Effects of mastication

An integrated study investigating effects of mastication fuel treatments on fuel and fire behavior.

MASTIDON - Masticated fuel characteristics

Surface fuel characteristics, temporal dynamics, and fire behavior of masticated mixed-conifer fuelbeds of the Rocky Mountains

TCEF Grid - Monitoring wildland fuels

Monitoring wildland fuel characteristics on a 330 m grid across the entire TCEF

Mapping and modeling fuels and fire at the Sycan Marsh, Oregon

Mapping, modeling, and connecting fuels and fire behavior effects at the Sycan Marsh, Oregonp

An ongoing research project focused on multi-scale integration of fire and fuel datasets collected before, during, and following management prescribed fires.

Lodgepole Pine Restoration

Using silvicultural treatments and prescribing burning to restore multi-aged lodgepole pine forests

Lubrecht Fire-Fire Surrogate Study

Fuel treatment impacts in ponderosa pine - Douglas-fir forests in the Northern Rockies.

Climate Change on Global Fire Danger

Wildfires occur at the intersection of dry weather, available fuel, and ignition sources. Weather is the most variable and largest driver of regional burned area.


LANDFIRE After Action Review and Scoping In Preparation for Comprehensive Remapping

Live Fuels and Fire Behavior Research

Exploring linkages between live wildland fuels, ignition, combustion and potential fire behavior

Fires in Northern Eurasia

Impacts of Black Carbon from Fires in Northern Eurasia

Peatland Fire

Studying Peatland Fire Dynamics

Western Spruce Budworm

Western Spruce Budworm Alters Crown Fire Behavior through Reduced Canopy Density

Spring Dip

Physiological Drivers of the ‘Spring Dip’ in Red Pine and Jack Pine Foliar Moisture Content and Its Relationship to Crown Fire in the Great Lakes

Describing Wildland Fuels

Describing and Scaling Physio-chemical Properties of Live and Dead Fuels to Parameterize Physics-based Fire Behavior Models

Evaluating Fuel Treatment Effectiveness

Using STANDFIRE to test whether fuel treatments are effective in changing fire behavior

Mountain Pine Beetle

Quantifying the Potential Effects of Mountain Pine Beetle on Wildland Fire Behavior

Foliar Moisture Content

Analyzing the ‘spring dip’ in foliar moisture content and its relationship to crown dire activity in the Great Lakes