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Publication Details

Title:
Fire Behavior Assessment Team: fire severity data
Author(s):
Reiner, Alicia L.; Ewell, Carol M.; Fites-Kaufman, Josephine A.; Dailey, Scott N.; Noonan-Wright, Erin K.; Norman, Tiffany P.; Vaillant, Nicole M.; Dickinson, Matthew B.; Morgan, Chelsea; Courson, Mark; Campbell, Mike
Publication Year:
2020
How to Cite:
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Reiner, Alicia L.; Ewell, Carol M.; Fites-Kaufman, Josephine A.; Dailey, Scott N.; Noonan-Wright, Erin K.; Norman, Tiffany P.; Vaillant, Nicole M.; Dickinson, Matthew B.; Morgan, Chelsea; Courson, Mark; Campbell, Mike. 2020. Fire Behavior Assessment Team: fire severity data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0030
Abstract:
This data publication contains the raw and processed fire severity data for the plots in which pre- and post-fire fuels, and fire behavior data were collected by the Fire Behavior Assessment Team (FBAT) on a subset of wildland fires in the United States from 2003-2017. FBAT collects pre- and post-fire fuels and tree data along with fire behavior measurements on wildland fires. FBAT is an interagency group of primarily Forest Service employees with both monitoring and fireline qualifications which collects pre- and post-fire fuels and tree data along with fire behavior measurements on wildland fires. Logistics (proximity to instrumentation/crew members), funding, fire activity, and monitoring questions influenced the geographic regions and fires where sampling was attempted, for instance, fuel treatments recorded in the Forest Service Activity Tracking System (FACTS), as well as tree mortality areas, were each targets for FBAT sampling in the past. This publication includes both understory vegetation and substrate post-fire severity data collected on belt transections for each of 19 different wildland fires. The percent of cover that was unburned was recorded, along with the percent of cover that had low, moderate, high, and very high burn severity.

Keywords:
substrate severity; vegetation severity; burn severity; fire severity; biomass; Joint Fire Science Program; JFSP; environment; Ecology, Ecosystems, & Environment; Fire; Fire ecology; Fire effects on environment; Inventory, Monitoring, & Analysis; Natural Resource Management & Use; Forest management; United States; California; Montana; Idaho; Arizona; Wyoming; Georgia
Related publications:
  • Reiner, Alicia L.; Ewell, Carol M.; Fites-Kaufman, Josephine A.; Dailey, Scott N.; Noonan-Wright, Erin K.; Norman, Tiffany P.; Vaillant, Nicole M.; Dickinson, Matthew B.; Morgan, Chelsea ; Courson, Mark; Campbell, Mike. 2018. Fire Behavior Assessment Team: plot location data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0056
  • Reiner, Alicia L.; Ewell, Carol M.; Fites-Kaufman, Josephine A.; Dailey, Scott N.; Noonan-Wright, Erin K.; Norman, Tiffany P.; Vaillant, Nicole M.; Dickinson, Matthew B.; Morgan, Chelsea ; Courson, Mark; Campbell, Mike. 2018. Fire Behavior Assessment Team: pre- and post-fire tree data, raw and processed. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0057
  • Miesel, Jessica; Reiner, Alicia; Ewell, Carol; Maestrini, Bernardo; Dickinson, Matthew. 2018. Quantifying changes in total and pyrongenic carbon stocks across fire severity gradients using active wildfire incidents. Frontiers in Earth Science. 6:1-21. https://doi.org/10.3389/feart.2018.00041 https://research.fs.usda.gov/treesearch/57240
  • Lydersen, Jamie M.; Collins, Brandon M.; Ewell, Carol M.; Reiner, Alicia L.; Fites, Jo Ann; Dow, Christopher B.; Gonzalez, Patrick; Saah, David S.; Battles, John J. 2014. Using field data to assess model predictions of surface and ground fuel consumption by wildfire in coniferous forests of California. JRG Biogeosciences. 119(3): 223-235. https://doi.org/10.1002/2013JG002475
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