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Publication Details

Title:
Camp Swift Fire Experiment 2014: Field fuel samples Data publication contains GIS data
Author(s):
Restaino, Joseph C.
Publication Year:
2018
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:
Restaino, Joseph C. 2018. Camp Swift Fire Experiment 2014: Field fuel samples. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0044
Abstract:
This data publication contains fuel loading, fuel consumption, fuel moisture, and surface-area-volume ratios for vegetation samples collected as part of a prescribed fire research campaign conducted at the Camp Swift Military Base in Bastrop County, Texas on January 15, 2014. The Camp Swift Fire Experiment 2014 consisted of three fires ignited in burn blocks of dimensions 100 meters (m) by 100 m on January 15, 2014. Fires were ignited on relatively flat areas of grass vegetation in moderate winds. Fuel samples were collected using a combination of line intersect inventory, and clip plot methods. Fuel moisture samples were collected, weighed and oven dried to determine fuel moisture content by fuelbed component immediately prior to ignition. To avoid disturbing vegetation in the burn unit, samples were collected entirely outside the prescribed fire perimeters in areas determined to be most analogous to the interior of the burn units, prior to the burns. At least 15 destructive post-fire plots were established within each burn unit primarily in areas wherein an uninterrupted head fire was observed during the research burns. Post-burn plots were sampled to quantify consumption of fuels within each burn site. Sampled fuels required additional processing at a different location and were shipped for analysis. Fuel moisture sampling was conducted within 30 minutes of ignition for each burn unit. This collection time was based on the variability of the moisture content of the particular grass fuels along with required precision for these research goals.

Keywords:
Ecology, Ecosystems, & Environment; Fire ecology; Prescribed fire; Fire; Fire effects on environment; Joint Fire Science Program; JFSP; Camp Swift Fire Experiment 2014; wildland fire; fire behavior; vegetation; biomass; fuel load; anemometer; wind; fuel samples; prescribed fire; fuel; time series; environment; biota; Bastrop County; Texas; Camp Swift Army Base
Related publications:
  • Derek McNamara, Geospatial Measurement Solutions, LLC, GIS Analyst; William Mell, United States Forest Service, Combustion Engineer. 2018. Camp Swift Fire Experiment 2014: Integrated Data Quality Assessment. https://usfs.maps.arcgis.com/home/item.html?id=aa3726577d9549a2a26b7d000fb98512
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