Publication Details
- Title:
- Fire Behavior Assessment Team: pre- and post-fire canopy cover 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:
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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: pre- and post-fire canopy cover data. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0028
- Abstract:
- This data publication contains the raw and processed field-collected pre- and post-fire tree canopy cover 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 pre- and post-fire canopy cover measurements recorded in multiple locations for each of 11 different wildland fires. Measurements from 2014 and earlier were ocular estimates, and data post-2014 were collected using a densiometer.
- Keywords:
- cover; canopy cover; tree cover; tree canopy cover; densiometer; 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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