HAWLEYC_2025-04-28_BA2FEva 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/0009-0000-7490-6954AndrewHudakUSDA Forest Service, Rocky Mountain Research Station, Moscow IDResearch Forester

1221 South Main StreetMoscowID83843United States

andrew.hudak@usda.govhttps://orcid.org/0000-0001-7480-1458ChadHoffmanColorado State University, Department of Forest and Rangeland StewardshipProfessor

472 Campus DeliveryFort CollinsCO80523-1472United States

c.hoffman@colostate.eduhttps://orcid.org/0000-0001-8715-937XGreggChapmanUSDA Forest Service, Southern Research Station, Clemson, SCgregg.chapman@usda.govhttps://orcid.org/0009-0004-6735-9867contributorMelanieTaylorUSDA Forest Service, Southern Research Station, Athens, GAmelanie.k.taylor@usda.govhttps://orcid.org/0000-0003-4611-5156contributorMacCallahamUSDA Forest Service, Southern Research Station, Athens, GAmac.a.callaham@usda.govhttps://orcid.org/0000-0001-7915-427XcontributorNuriaNuria Sánchez-LópezUSDA Forest Service, Rocky Mountain Research Stationnuria.sl.im@gmail.comhttps://orcid.org/0000-0002-0455-3951contributorSaphiraOrrionTall Timbers Research Station, Tallahassee, FLcontributorSethBigelowTall Timbers Research Station, Tallahassee, FLsbigelow@talltimbers.orghttps://orcid.org/0000-0002-0052-191XcontributorTo measure fuel moisture content, vegetation was collected at adjacent burn units with similar land cover, species composition, and time since the last prescribed burn. This dataset provides fuel moisture content data by fuel type, collected in February 2022.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.fuel moisture contentfuel typesData Types and Measurement Variableslongleaf pineprescribed firevegetationunderstoryOsceola National Forest 2022winter burn plotsNoneThis 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/.Winter Burn Plots, Osceola National Forest, Lake City, Florida, USA-82.413301-82.40853830.23921930.2349652022-02-032022-02-04ChristieHawleyUSDA 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. All 1-, 2-, and 4-year units were prescribed burns on February 3 and 4, 2022.See Burn_Unit_Layout_Osceola_2022.pdf for a schematic of the burn units.Fuel moistureOn each prescribed burn day, vegetation was collected at an adjacent burn unit with similar land cover, species composition, and time since the last burn. Three replicates of a fuel type were collected one to four times throughout the prescribed burn day. Sample collection typically started near the test fire window and continued every 60-90 minutes until burning operations were complete.The fuel type and number of times sampled varied based on data needs, accessibility, and prescribed burn duration.On February 03, 2022, the sampling time blocks were 0930, 1100, 1230, and 1400, and all samples were collected from the F block. On February 04, 2022, the sampling time blocks were 0900, 1030, 1200, and 1330. All the 2- and 4-year samples were collected in the F block. The 0900 1-year sample collection was conducted in the F block. Afterwards, prescribed burn operations prevent entry into the F block 1-year burn unit. The remaining 1-year samples were collected from the 1-year burn unit on the C block.The bunchgrasses (BG) collected were wiregrass (Aristida stricta) or bluestem (Schizachyrium/Andropogon spp.) that were living or dead and attached to their source. These were collected in the 1- and 2-year burn units.The dead saw palmetto (DSP, Serenoa repens) lamina (leaves) collected were standing and manually removed from the petiole. These were collected in the 1-, 2-, and 4-year burn units.The live saw palmetto (LSP, Serenoa repens) lamina (leaves) collected were standing and manually removed from the petiole. These were collected in the 1-, 2-, and 4-year burn units.Pine needles (PN) collected were the detached and dead longleaf pine (Pinus palustris) or slash pine (P. elliotii) needles on the ground or perched on low vegetation like grasses and shrubs, at least 2 meters from the base of a mature tree. Compacted, gray, decaying, and live needles were not collected. These needles could or could not be shaded by saw palmetto. Collected in the 2- and 4-year burn units.Shaded pine needles (SPN) were the detached and dead longleaf pine (Pinus palustris) or slash pine (P. elliotii) needles on the ground or perched on low vegetation like grasses and shrubs, at least 2 meters from the base of a mature tree. Compacted, gray, decaying, and live needles were not collected. These needles were shaded by saw palmetto and collected in the 1-year burn units.Unshaded pine needles (UPN) were the detached and dead longleaf pine (Pinus palustris) or slash pine (P. elliotii) needles on the ground or perched on low vegetation like grasses and shrubs, at least 2twometers from the base of a mature tree. Compacted, gray, decaying, and live needles were not collected. These needles were not shaded by saw palmetto and collected in the 1-year burn units.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/markdownBurn_Unit_Layout_Osceola_2022.pdfapplication/pdfFuel_Moisture_2022_Osceola_National_Forest.csvtext/csvFuel_Moisture_2022_Osceola_National_Forest_dd.csvtext/csvFuel_Moisture_2022_Osceola_National_Forest_flmd.csvtext/csv