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Type: Webinar
Presenter(s):
  • Kristin H. Braziunas
    University of Wisconsin-Madison
  • Diane Abendroth
    National Park Service
Distribution Contact(s):
  • Signe B. Leirfallom
    US Forest Service, Missoula Fire Sciences Laboratory
Host Agency:
  • Northern Rockies Fire Science Network
Publication Date: February 9, 2021

Landscape-scale maps of vegetation structure and fuels can support management decisions but are lacking for most landscapes. Researchers used remotely sensed data (LiDAR, aerial imagery) and a vegetation map coupled with field data to map canopy and surface fuels in Grand Teton National Park (GRTE) forests and shrublands. Models performed well, predicting continuous fuel loads and surface fire behavior fuel models with reasonable accuracy. They then used the fuels map to compare fuel loads in treated vs. untreated areas and to test relationships between fuels and fire severity in the 2016 Berry Fire, the largest fire in GRTE history. The Berry Fire is a case study of what might be increasingly common under expected changes in fire activity: 43% of the fire perimeter reburned young, subalpine forest recovering from previous fire. View this webinar to learn how researchers fused multiple data sources to map fuels across a large forested landscape and to explore fuels and fire severity in a subalpine forest reburn.

Recording Length: 0:53:10
Online Link(s):
Link to this recording (Streaming; YouTube)

Cataloging Information

Topics:
Fire Ecology    Fire Effects    Fuels    Hazard and Risk    Mapping    Models    Monitoring and Inventory    Planning    Weather
Keywords:
  • annual area burned
  • Berry Fire
  • canopy fuels
  • fire management
  • fire severity
  • forest management
  • fuel loads
  • fuels treatments
  • Grand Teton National Park
  • LiDAR - Light Detection and Ranging
  • surface fuels
  • vegetation structure
Record Last Modified:
Record Maintained By: FRAMES Staff (https://www.frames.gov/contact)
FRAMES Record Number: 62821