HAWLEYC_2025-04-28_315CEva LouiseLoudermilkUSDA Forest Service, Southern Research Station, Athens GAResearch Ecologist

320 Green StreetAthensGA30602United States

louise.loudermilk@usda.govhttps://orcid.org/0000-0001-8191-8670ChristieHawleyUSDA Forest Service, Southern Research Station, Athens GAForester

320 Green StreetAthensGA30602United States

christie.m.hawley@usda.govhttps://orcid.org/0000-0001-9105-2065IreneePayneUSDA Forest Service, Southern Research Station, Athens GAForestry Tech

320 Green StreetAthensGA30602United States

irenee.payne@usda.govhttps://orcid.org/0009-0000-7490-6954ChadHoffmanColorado State University, Department of Forest and Rangeland StewardshipProfessor

472 Campus DeliveryFort CollinsCO80523-1472United States

c.hoffman@colostate.eduhttps://orcid.org/0000-0001-8715-937XAndrewHudakUSDA Forest Service, Rocky Mountain Research Station, Moscow IDResearch Forester

1221 South Main StreetMoscowID83843United States

andrew.hudak@usda.govhttps://orcid.org/0000-0001-7480-1458ScottPokswinskiNew Mexico Consortium, Center for Applied Fire and Ecosystems Science, Los Alamos NMDirector of Fire Science Applicationsspokswinski@newmexicoconsortium.orghttps://orcid.org/0000-0001-5753-4132GreggChapmanUSDA Forest Service, Southern Research Station, Clemson, SCgregg.chapman@usda.govhttps://orcid.org/0009-0004-6735-9867contributorDerekWallaceUSDA Forest Service, Southern Research Station, Athens, GAderek.wallace@usda.govhttps://orcid.org/0009-0001-2533-4838contributorMelanieTaylorUSDA Forest Service, Southern Research Station, Athens, GAmelanie.k.taylor@usda.govhttps://orcid.org/0000-0003-4611-5156contributorQuinnHiershttps://orcid.org/0000-0001-5555-7525contributorDestructive clip plots were sampled in nine burn units to characterize fine-scale variations in vegetation structure, quantify heterogeneity, and capture fuel estimation and consumption. This data set provides the macroplot geographical location, vegetation biomass by fuel type, and occupied voxel data collected before (December 2021) and after (February 2022) the prescribed burns.At these burn units, a range of data was collected, and instruments were deployed to characterize fine-scale variations in vegetation structure, quantify spatial heterogeneity, and measure fuel estimation and consumption. Datasets can be located by searching the portal using the keywords “Osceola National Forest 2022” and/or “winter burn plots.”biomassconsumptionlongleaf pineprescribed firefuel heterogeneityfuel distributionfine-scalevegetationunderstoryOsceola National Forest 2022winter burn plotsNonebiomass weightsfuel typesvoxellongitudelatitudeData Types and Measurement VariablesThis work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.2021-12-032022-02-07Winter Burn Plots, Osceola National Forest, Lake City, Florida, USA-82.413301-82.40853830.23921930.234965ChristieHawleyUSDA Forest Service, Southern Research Station, Athens, GAForester

320 Green StreetAthensGA30602United States

christie.m.hawley@usda.govhttps://orcid.org/0000-0001-9105-2065Study siteOsceola National Forest is a 200,000-acre National Forest between Lake City, FL, and Jacksonville, FL, bisected by Interstate 10. The long-term winter burn plots were installed in the early 1960s for research and education. The winter burn plots are east of Ocean Pond off Forest Service Road 266. They are burned on 1-, 2-, and 4-year rotations. There are also unburned plots (check plots).In 2022, eighteen burn units (six 1-year, six 2-year, six 4-year) were available for prescribed burning. In 2021 and 2022, sampling occurred in nine randomly selected burn units—three 1-year, three 2-year, and three 4-year units.Macroplot selection and establishmentAt each selected burn unit, an edge and interior transect were established where the edge transect was parallel to the burn unit edge and the interior transect was perpendicular to the edge transect. Four 5x5 meter plots were established at each burn unit, where two 5x5 meter plots were along the edge transect and two 5x5 meter plots were along the interior transect. Along each transect, one 5x5 was designated for pre-burn sampling and the other for post-burn sampling.A cardinal direction side of the burn unit was randomly selected as the starting point. This determined the cardinal direction in which the edge and interior transects would run. For example, the edge transect would run west to east, and the interior north to south for a north side selection. If the west side was selected, the edge transect would run south to north and the interior west to east.A random distance between five and ten meters was selected to travel into the burn unit from the edge to establish the edge transect. Along the edge transect, randomly selected distances were used to place the two 5x5-meter plots, requiring that the two plots be at least five meters from the burn unit edge and five meters apart.To establish the interior transect, two distances were randomly chosen to determine the distance to travel along the randomly selected burn unit edge and into the burn unit. These distances must be at least fifteen meters from the burn unit edge. Along this transect, randomly selected distances were used to place the two 5x5 meter plots, requiring that the two plots be at least fifteen meters from the burn unit edge and five meters apart.Clip plot selection and establishmentThe 5x5 meter plots were oriented, so the center 3D fuels clip plot (also known as clip plot #5) was centered on the transect. The center 3D fuels clip plot was always sampled, and the other 3D fuels clip plots were randomly selected. The 3D fuels clip plot was randomly chosen as an ordinate direction: either NW, NE, SW, or SE, and was then placed in that segment of the 5x5 meter plot corresponding to that direction on the compass.In each edge 5x5 meter plot, two 3D fuels clip plots were established—one at the center and one randomly selected. In each of the interior 5x5 meter plots, three 3D fuel clip plots were established—one at the center and two randomly selected. In total, 45 pre-burn and 45 post-burn 3D clip plots were established, with five pre-burn and five post-burn 3D fuel clip plots sampled in each burn unit.See Burn_Unit_Plot_Layouts_Osceola_2022.pdf for a step-by-step example of establishing the plots and schematics of burn units, macroplots, and clip plots.Documenting plot locationsElectrical metallic tubing (EMT) conduit—1.27 centimeters in diameter and approximately 1.5 meters tall—was used to monument each corner of the 5x5-meter plot. Reflective tape was attached to the conduit's top ten to fifteen centimeters.The northwest corner of each 3D fuels clip plot was monumented with electrical metallic tubing (EMT) conduit, which is 1.27 centimeters in diameter and approximately 1.5 meters tall. Reflective tape was attached to the conduit's top ten to fifteen centimeters.The 5x5-meter macroplot corner(s) latitude and longitude coordinates (NAD 1983 (2011) datum) were collected using a Trimble Nomad 900 series with a Garmin pole-mounted antenna with one meter and below accuracy. An attempt was made to collect all four corners; however, due to accuracy issues, often only one corner was documented.Clip plot and voxel samplingIn total, 45 pre-burn and 45 post-burn 3D fuels clips plots were sampled, with 5 pre-burn and 5 post-burn 3D fuels clip plots sampled in each of the nine randomly selected burn units.Each 3D clip plot has a total of 250 voxels and ten strata. The plots were a rectangular prism measuring 0.5m (width) x 0.5m (length) x 1m (height). The strata are defined as 0-10 cm, 10-20 cm, 20-30 cm, 30-40 cm, 40-50 cm, 50-60 cm, 60-70 cm, 70-80 cm, 80-90 cm, 90-100 cm where 0 cm is ground level and 100 cm is top of the plot. The individual voxels measure 10 cm x 10 cm x 10 cm. There are 25 voxels (5 x 5) per stratum and a total of 250 voxels per plot.On December 3-11, 2021, before the prescribed burns, the pre-burn 3D fuels clip plots were sampled for voxels, and their biomass was destructively harvested. The post-burn 3D fuels clip plots were sampled for voxels only. On February 3 and 4, 2022, all 1-, 2-, and 4-year units were prescribed burns. Immediately following the prescribed burns, on February 5-7, 2022, the post-burn 3D fuels clip plots were sampled for voxels, and their biomass was destructively harvested.If biomass was above 1 meter, it was noted on the data sheet and clipped and bagged.For detailed fuels clip plot sampling methods, see Hawley et al. 2018.At the Forest Service—Southern Research Station lab located in Athens, GA, the pre- and post-burn biomass collected was sorted into fuel type categories by stratum. Once sorted, the samples were dried at 70 degrees Celsius for 48 hours and weighed immediately following drying.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.At these burn units, a range of data was collected, and instruments were deployed to characterize fine-scale variations in vegetation structure, quantify spatial heterogeneity, and measure fuel estimation and consumption. Datasets can be located by searching the portal using the keywords “Osceola National Forest 2022” and/or “winter burn plots.”This data was QA/QC by but not limited to:-independently double-entering the entire dataset with manual and automated cross-checking,-manual and automated error checks using validation rules and data parameters for discrepancies, inconsistencies, inaccuracies, missing data, and duplicate entries,-visually inspect and use box and whisker plots to examine each variable for outliers,-investigate questionable data points using personal communication, field and/or laboratory datasheets, field photographs, and the collected material.ChadHoffmanColorado State UniversityC.Hoffman@colostate.eduhttps://orcid.org/0000-0001-8715-937XPrincipal InvestigatorAndrewHudakUSDA FS RMRSandrew.hudak@usda.govhttps://orcid.org/0000-0001-7480-1458Principal Investigator

Chad Hoffman

Andrew Hudak

U. S. Department of Defense (DoD), Strategic Environmental Research and Development Program (SERDP)http://dx.doi.org/10.13039/100013316RC19-1119U. S. Department of Defense (DoD), Strategic Environmental Research and Development Program (SERDP)http://dx.doi.org/10.13039/100013316RC20-1346CHANGES.mdtext/markdownVoxel_2022_Osceola_National_Forest.csvtext/csvGeographical_Macroplot_Data_Osceola_2022.csvtext/csvBurn_Unit_Plot_Layouts_Osceola_2022.pdfapplication/pdfBiomass_Sorted_To_1m_2022_Osceola_National_Forest.csvtext/csvBiomass_Above_1m__2022_Osceola_National_Forest_dd.csvtext/csvBiomass_Above_1m__2022_Osceola_National_Forest.csvtext/csvBiomass_Sorted_To_1m_2022_Osceola_National_Forest_dd.csvtext/csvBiomass_Voxel_2022_Osceola_National_Forest_flmd.csvtext/csvVoxel_2022_Osceola_National_Forest_dd.csvtext/csvGeographical_Macroplot_Data_Osceola_2022_dd.csvtext/csv