| Last Updated |
July 4, 2025, 09:33 (UTC)
|
| Created |
July 4, 2025, 09:33 (UTC)
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| Source |
https://wfsi-data.org/view/doi%3A10.60594/W4KK5S |
| associated_parties |
Gregg Chapman, gregg.chapman@usda.gov, USDA Forest Service, Southern Research Station, Clemson, SC, https://orcid.org/0009-0004-6735-9867, contributor | Derek Wallace, derek.wallace@usda.gov, USDA Forest Service, Southern Research Station, Athens, GA, https://orcid.org/0009-0001-2533-4838, contributor | Caio Hamamura, caiohamamura@ufl.edu, University of Florida, https://orcid.org/0000-0001-6149-5885, contributor | Bueno Inacio, ibueno@unicamp.br, University of Florida, https://orcid.org/0000-0002-6662-3396, contributor | Gabriel Maximo Da Silva, g.maximodasilva@ufl.edu, University of Florida, https://orcid.org/0000-0003-2105-9055, contributor | Eugenia Batista, e.lucianobatista@ufl.edu, University of Florida, https://orcid.org/0000-0003-0255-7315, contributor |
| award |
Characterizing multiscale feedback between forest structure, fire behavior and effects: integrating measurements and mechanistic modeling for improved understanding of patterns and processes. |
| creators |
Eva Louise Loudermilk, louise.loudermilk@usda.gov, USDA Forest Service, Southern Research Station, Athens GA, https://orcid.org/0000-0001-8191-8670 | Andrew Hudak, andrew.hudak@usda.gov, USDA Forest Service, Rocky Mountain Research Station, Moscow ID, https://orcid.org/0000-0001-7480-1458 | Chad Hoffman, c.hoffman@colostate.edu, Colorado State University, Department of Forest and Rangeland Stewardship, Fort Collins CO
, https://orcid.org/0000-0001-8715-937X | Christie Hawley, christie.m.hawley@usda.gov, USDA Forest Service, Southern Research Station, Athens GA, https://orcid.org/0000-0001-9105-2065 | Irenee Payne, irenee.payne@usda.gov, USDA Forest Service, Southern Research Station, Athens GA, https://orcid.org/0009-0000-7490-6954 | Mary Carlton Murphy, mary.murphy@usda.gov, USDA Forest Service, Southern Research Station, Athens GA, https://orcid.org/0009-0002-2453-9927 | Scott Pokswinski, spokswinski@newmexicoconsortium.org, New Mexico Consortium, Center for Applied Fire and Ecosystems Science, Los Alamos NM
, https://orcid.org/0000-0001-5753-4132 |
| doi |
doi:10.60594/W4KK5S |
| 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 |
79a28293-29bc-4631-91f3-18c0b7263d50 |
| harvest_source_id |
a2637971-af12-457f-ae4a-831d2202a539 |
| harvest_source_title |
WIFIRE Commons |
| maintainor |
Christie Hawley, christie.m.hawley@usda.gov |
| method |
Fort Stewart-Hunter Army Airfield is in Hinesville, Georgia, approximately 30 miles west of Savannah. For a full study site description, see Loudermilk et al. 2023. In 2024, E11.5 (597 acres, 242 hectares), E16.2 (628 acres, 254 hectares), and E16.3 (636 acres, 257 hectares) were available for prescribed burning. Located in the western half of Fort Stewart, Units E16.2 and E16.3 are bisected by Taylors Creek. E11.5 is just east of E16.3, where numbered dirt roads 9A is a west boundary and 4A is the east boundary. While E16.2 and E16.3 are two management units, they were sampled and burned as one unit, E units. E11.5 was burned on February 8, 2024, and the E units were burned on February 10, 2024. In January 2024, 50 flatwood macroplots and 49 wetland macroplot plots were established. These were distributed across the sampling blocks as follows: E16 = 25 flatwood macroplots, 25 wetland macroplots E11.5 = 25 flatwood macroplots, 24 wetland plots, and 20 terrestrial LiDAR scan-only plots The pre-burn clip plot was located at the macroplot center. A post-burn clip plot was established approximately two to three meters from the macroplot center. The post-burn clip plot was visually identified as having a fuel composition and structure similar to the pre-burn clip plot. From the macroplot center, the distance and azimuth to the northwest corner of the post-burn clip plot were measured. The compass declination was set to zero (magnetic north). The sampling area was 0.5 m in width by 0.5 m in length by 1 m in height. The frame was subdivided into two vertical sampling layers or strata: ground to 30 cm and 30 to 100 cm. Vegetation and fuel categories were recorded in both the pre-and post-burn clip plots. Vegetation, fuel category, and biomass data were collected using a simplified approach from Hawley et al. 2018. The vegetation and fuel categories for this site were defined as woody live vegetation, now dead woody vegetation, woody litter, woody dead and downed 1-hour fuels, 10-hour fuels, 100-hour fuels, 1000-hour fuels, pinecones, conifer litter, conifer needles, and herbaceous vegetation, which includes graminoids, forbs, and vines. The 'now dead woody vegetation' category was used only in post-burn sampling to classify pre-burn woody live stems partially consumed by the prescribed fire and when the aboveground plant was dead or top-killed. Before the prescribed burn, within both the pre- and post-burn clip plots, the presence and absence of each vegetation and fuel category were recorded within each stratum. At the pre-burn plot, biomass was destructively harvested from each stratum. After the prescribed burn, within each post-burn clip plot, the presence and absence of each vegetation and the fuel category were recorded again, and the biomass was destructively harvested within each stratum. In the Athens Prescribed Fire Science Laboratory, Athens, GA, USA, the clip plot biomass was sorted, dried, and weighed to determine each vegetation and fuel category's dry weight (grams). The sorted biomass was dried at 60 degrees C until the sample's weight no longer changed, typically within 48–72 hours. Hawley, C.M.; Loudermilk, E.L.; Rowell, E.M.; Pokswinski, S. A novel approach to fuel biomass sampling for 3D fuel characterization. MethodsX 2018, 5, 1597–1604. https://doi.org/10.1016/j.mex.2018.11.006 Loudermilk, E.L.; Pokswinski, S.; Hawley, C.M.; Maxwell, A.; Gallagher, M.R.; Skowronski, N.S.; Hudak, A.T.; Hoffman, C.; Hiers, J.K. Terrestrial Laser Scan Metrics Predict Surface Vegetation Biomass and Consumption in a Frequently Burned Southeastern U.S. Ecosystem. Fire 2023, 6, 151. https://doi.org/10.3390/fire6040151 |
| project |
Funding Awards RC19-1119 and RC20-1346 for DoD Wildland Fire Science Initiative (WFSI) |
| spatial |
{"type": "Polygon", "coordinates": [[[-81.771737, 31.978517], [-81.848333, 31.978517], [-81.848333, 32.004167], [-81.771737, 32.004167], [-81.771737, 31.978517]]]} |
| temporal |
{"endTime": "2024-02-11", "startTime": "2024-01-08"} |