Fort Stewart 2022 Prescribed Burn Campaign: Fuel Moisture Data

This dataset contains fuel moisture data collected prior to 2022 prescribed burns on US army base Fort Stewart in longleaf pine-wiregrass ecosystems. Fuel moisture samples were collected from four burn units, one of which (Fort Stewart A) had co-located sampling plots from the 3-dimensional (3D) Fuels Project, whose datasets are also archived on the WFSI Data Portal.

Data and Resources

Additional Info

Field Value
Last Updated July 4, 2025, 09:33 (UTC)
Created July 4, 2025, 09:33 (UTC)
Source https://wfsi-data.org/view/doi%3A10.60594/W43W2D
associated_parties Paige Eagle, pceagle@uw.edu, University of Washington, contributor
award 3D fuel characterization for evaluating physics-based fire behavior, fire effects and smoke models on US U. S. Department of Defense (DoD) military lands.
creators Susan Prichard, sprich@uw.edu, Univeristy of Washington, https://orcid.org/0000-0002-6001-1487 | Deborah Nemens, dnemens@uw.edu, Univeristy of Washington, https://orcid.org/0000-0002-4388-1923 | James Cronan, jcronan@usda.gov, USFS PNW Research Station
doi doi:10.60594/W43W2D
encoding utf8
funder U. S. Department of Defense (DoD), Strategic Environmental Research and Development Program (SERDP) , http://dx.doi.org/10.13039/100013316
harvest_object_id b815f481-5bc0-4018-90e5-cf3906072fc6
harvest_source_id a2637971-af12-457f-ae4a-831d2202a539
harvest_source_title WIFIRE Commons
maintainor Susan Prichard, sprich@uw.edu
method Experimental Design and Data Collected: Fuel moisture sample categories were determined so as to be representative of the types and distribution of the fuel strata within the sample area that could be expected to be consumed in the prescribed burns. The categories collected were: litter, suspended litter, duff, downed wood (1, 10 and 100-hr timelag sizes), wiregrass, other grasses, gallberry shrubs and other evergreen shrubs. An effort was made to collect 10 samples of each fuel category in each burn unit, though in some cases, fewer samples were collected due to time constraints. Samples were collected within 1-2 hours of ignition, with the coarser samples (such as 100hr-timelag wood) collected earlier, and the finest (such as suspended litter) collected last, in accordance with the drying times of each fuel type. Moisture samples were placed in 12 x 12 inch four-millimeter thick, re-sealable plastic bags. Bags were labeled with time, date, fuel type and location of collection (e.g., plot number). To determine wet mass, samples were weighed within 12 hours of collection on a portable electronic balance to the nearest 0.1g. Once transferred to the Pacific Wildland Fire Sciences Laboratory in Seattle, plastic bags were opened to allow samples to air dry and prevent decomposition. Each sample was placed in a labeled metal container for drying in the lab’s forced-air drying ovens. Samples were dried at 70⁰ C for 48-72 hours, or until their weight stabilized. Once dry, samples were weighed with an electronic balance and recorded to the nearest 0.1g. Gravimetric fuel moisture was calculated as the wet weight of the sample divided by its oven-dry weight to determine its proportional moisture content.
project Funding Award RC19-1064: 3D fuel characterization for evaluating physics-based fire behavior, fire effects and smoke models on US U. S. Department of Defense (DoD) military lands.
spatial {"type": "Polygon", "coordinates": [[[-81.72760774649402, 32.07719429030153], [-81.72760774649402, 32.07719429030153], [-81.72760774649402, 32.07719429030153], [-81.72760774649402, 32.07719429030153], [-81.72760774649402, 32.07719429030153]]]}
temporal {"endTime": "2022-03-05", "startTime": "2022-03-03"}