RxCADRE 2008, 2011, and 2012: Ground fuel measurements from prescribed fires

Metadata:

• Identification_Information
• Data_Quality_Information
• Entity_and_Attribute_Information
• Distribution_Information
• Metadata_Reference_Information

Identification_Information:

Citation:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Restaino, Joseph C.

Publication_Date: 2014

Title:

RxCADRE 2008, 2011, and 2012: Ground fuel measurements from prescribed fires

Geospatial_Data_Presentation_Form: tabular digital data

Publication_Information:

Publication_Place: Fort Collins, CO

Publisher: Forest Service Research Data Archive

Online_Linkage: https://doi.org/10.2737/RDS-2014-0028

Description:

Abstract:

The Prescribed Fire Combustion and Atmospheric Dynamics Research Experiment (RxCADRE) was designed to collect atmospheric, fuels, fire behavior, energy balance, emissions, and fire effects data to evaluate and advance fire models and further our understanding of fire science questions. This data publication contains fuel loading, fuel consumption, and fuel moisture content data for 28 sample units associated with 6 small replicate grass fires, 2 large operational grass fires, and 8 large operational forested fires conducted during 2008, 2011, and 2012 in longleaf pine (Pinus palustrus) ecosystems of the southeastern USA. The small replicate grass fires burned in 2012 were named S3, S4, S5, S7, S8, and S9. The two operational grass fires were named L1G (2012) and L2G (2012) and were burned in 2012. The 8 operational forested units were named Dubignon East, North Boundary, Turkey Woods, 307B, and 608A (burned in 2008), 608A and 703 C (burned in 2011), and L2F (burned in 2012). Pre- and post-fire loadings by fuelbed component in all 28 units were collected using a combination of line intersect inventory and clip plot methods. Fuel consumption was determined by subtracting the pre- and post-fire values. Fuel moisture samples were collected, weighed and oven dried to determine fuel moisture content by fuelbed component immediately prior to ignition. This data publication also contains turkey oak fuel loading data collected in 2012 near L2G, S7, and S8, in order to assist the calibration of terrestrial LiDAR.

Purpose:

Consumption of fuel during wildland fire is the basic process that leads to heat generation and emissions, driving fire behavior and accounting for fire effects such as smoke impacts on communities, carbon reallocation, tree mortality, and soil heating. To assist managers in planning for wildland fire, consumption studies of shrubs, forbs, grasses, woody fuel, litter, and duff in forests and rangelands have been conducted in temperate, tropical, and boreal regions of the world and offer data sets that include fuel characteristics, fuel moisture, fuel consumption, and environmental variables from both wildfires and prescribed fires. These data sets have been used to develop fuel consumption models in software systems in use today such as Consume. Although mainstays of fire effects modeling, the aforementioned modeling systems have not been quantitatively evaluated because independent, fully documented, quality-assured fuel consumption data are lacking. This data set provides measurements for the evaluation and development of fuel and fuel consumption models and other fire models that require fuel loading and fuel consumption as inputs.

Supplemental_Information:

A short summary of the RxCADRE project can be found in the full data publication download (\Supplements\RxCADRE_Project_Overview.pdf). Information about the RxCADRE project can also be found here: //www.fs.fed.us/pnw/fera/research/rxcadre/.

Original metadata date was 12/12/2014. Minor metadata updates on 12/14/2016.

Time_Period_of_Content:

Time_Period_Information:

Multiple_Dates/Times:

Single_Date/Time:

Calendar_Date: 2008

Single_Date/Time:

Calendar_Date: 2011

Single_Date/Time:

Calendar_Date: 2012

Currentness_Reference:

ground condition

Status:

Progress: Complete

Maintenance_and_Update_Frequency: None planned

Spatial_Domain:

Description_of_Geographic_Extent:

Data were collected prior to, during and following prescribed fires at Eglin Air Force Base, approximately 13 kilometers (km) northeast of Valparaiso, Florida in Okaloosa County. Data were also collected at the Joseph Jones Ecological Research Center at Ichauway, approximately 15 km northwest of Camila, Georgia. Field locations for RxCADRE 2008, 2011, 2012 Joseph Jones Ecological Research Center at Ichauway: 2008_Dub_East, 2008_North_Boundary, 2008_Turkey_Woods Eglin Air Force Base: 2008_608A, 2008_307B 2011_608A_NW, 2011_608A_SE, 2011_608A_SW, 2011_703C_W, 2011_703C_E 2012_S3, 2012_S4, 2012_S5, 2012_S7, 2012_S8, 2012_S9 2012_L1G, 2012_L2G, 2012_L2F 2012_L1G_HIP_x, 2012_L2G_HIP_x, 2012_L2F_HIP_x

Bounding_Coordinates:

West_Bounding_Coordinate: -86.77

East_Bounding_Coordinate: -84.42

North_Bounding_Coordinate: 31.27

South_Bounding_Coordinate: 30.51

Keywords:

Theme:

Theme_Keyword_Thesaurus: ISO 19115 Topic Category

Theme_Keyword: biota

Theme_Keyword: environment

Theme:

Theme_Keyword_Thesaurus: National Research & Development Taxonomy

Theme_Keyword: Ecology, Ecosystems, & Environment

Theme_Keyword: Fire

Theme_Keyword: Forest & Plant Health

Theme:

Theme_Keyword_Thesaurus: None

Theme_Keyword: fuel loading

Theme_Keyword: fuel consumption

Theme_Keyword: fire behavior

Theme_Keyword: fire effects

Theme_Keyword: fire weather

Theme_Keyword: RxCADRE

Theme_Keyword: Joint Fire Science Program

Theme_Keyword: JFSP

Place:

Place_Keyword_Thesaurus: None

Place_Keyword: Joseph Jones Ecological Research Center

Place_Keyword: Ichauway

Place_Keyword: Eglin Air Force Base

Place_Keyword: Florida

Place_Keyword: Georgia

Taxonomy:

Keywords/Taxon:

Taxonomic_Keyword_Thesaurus:

None

Taxonomic_Keywords: plants

Taxonomic_Keywords: multiple species

Taxonomic_System:

Classification_System/Authority:

Classification_System_Citation:

Citation_Information:

Originator: ITIS

Publication_Date: 2014

Title:

Integrated Taxonomic Information System

Geospatial_Data_Presentation_Form: database

Other_Citation_Details:

Retrieved [August, 19, 2014]

Online_Linkage: https://www.itis.gov

Taxonomic_Procedures:

Taxonomic_Completeness:

Vegetation was identified to species when possible. Some species which were minor components of the study area were identified to genus.

Taxonomic_Classification:

Taxon_Rank_Name: Kingdom

Taxon_Rank_Value: Plantae

Applicable_Common_Name: plantes

Applicable_Common_Name: Planta

Applicable_Common_Name: Vegetal

Applicable_Common_Name: plants

Taxonomic_Classification:

Taxon_Rank_Name: Subkingdom

Taxon_Rank_Value: Viridaeplantae

Applicable_Common_Name: green plants

Taxonomic_Classification:

Taxon_Rank_Name: Infrakingdom

Taxon_Rank_Value: Streptophyta

Applicable_Common_Name: land plants

Taxonomic_Classification:

Taxon_Rank_Name: Division

Taxon_Rank_Value: Tracheophyta

Applicable_Common_Name: vascular plants

Applicable_Common_Name: tracheophytes

Taxonomic_Classification:

Taxon_Rank_Name: Subdivision

Taxon_Rank_Value: Spermatophytina

Applicable_Common_Name: spermatophytes

Applicable_Common_Name: seed plants

Applicable_Common_Name: phanérogames

Taxonomic_Classification:

Taxon_Rank_Name: Infradivision

Taxon_Rank_Value: Angiospermae

Applicable_Common_Name: flowering plants

Applicable_Common_Name: angiosperms

Applicable_Common_Name: plantas com flor

Applicable_Common_Name: angiosperma

Applicable_Common_Name: plantes à fleurs

Applicable_Common_Name: angiospermes

Applicable_Common_Name: plantes à fruits

Taxonomic_Classification:

Taxon_Rank_Name: Class

Taxon_Rank_Value: Magnoliopsida

Taxonomic_Classification:

Taxon_Rank_Name: Superorder

Taxon_Rank_Value: Asteranae

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Ericales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Ericaceae

Applicable_Common_Name: heaths

Applicable_Common_Name: éricacées

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Gaylussacia

Applicable_Common_Name: huckleberry

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Gaylussacia dumosa

Applicable_Common_Name: dwarf huckleberry

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Ebenaceae

Applicable_Common_Name: ebony

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Diospyros

Applicable_Common_Name: persimmons

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Diospyros virginiana

Applicable_Common_Name: eastern persimmon

Applicable_Common_Name: common persimmon

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Asterales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Asteraceae

Applicable_Common_Name: sunflowers

Applicable_Common_Name: tournesols

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Chrysoma

Applicable_Common_Name: chrysoma

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Chrysoma pauciflosculosa

Applicable_Common_Name: woody goldenrod

Taxonomic_Classification:

Taxon_Rank_Name: Superorder

Taxon_Rank_Value: Lilianae

Applicable_Common_Name: monocots

Applicable_Common_Name: monocotyledons

Applicable_Common_Name: monocotylédones

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Arecales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Arecaceae

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Serenoa

Applicable_Common_Name: serenoa

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Serenoa repens

Applicable_Common_Name: saw palmetto

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Liliales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Smilacaceae

Applicable_Common_Name: catbrier

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Smilax

Applicable_Common_Name: common greenbriar

Applicable_Common_Name: greenbriar

Applicable_Common_Name: sarsaparilla

Applicable_Common_Name: catbrier

Applicable_Common_Name: greenbrier

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Poales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Poaceae

Applicable_Common_Name: grasses

Applicable_Common_Name: graminées

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Aristida

Applicable_Common_Name: threeawn

Applicable_Common_Name: annual threeawn

Applicable_Common_Name: perennial threeawn species

Applicable_Common_Name: perennial threeawn

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Asparagales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Asparagaceae

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Yucca

Applicable_Common_Name: yucca species

Applicable_Common_Name: yucca

Taxonomic_Classification:

Taxon_Rank_Name: Superorder

Taxon_Rank_Value: Rosanae

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Fagales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Fagaceae

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Quercus

Applicable_Common_Name: chêne

Applicable_Common_Name: oak

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Quercus incana

Applicable_Common_Name: bluejack oak

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Quercus laevis

Applicable_Common_Name: turkey oak

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Quercus laurifolia

Applicable_Common_Name: laurel oak

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Rosales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Rosaceae

Applicable_Common_Name: roses

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Crataegus

Applicable_Common_Name: hawthorns

Applicable_Common_Name: aubépines

Taxonomic_Classification:

Taxon_Rank_Name: Order

Taxon_Rank_Value: Malpighiales

Taxonomic_Classification:

Taxon_Rank_Name: Family

Taxon_Rank_Value: Chrysobalanaceae

Taxonomic_Classification:

Taxon_Rank_Name: Genus

Taxon_Rank_Value: Licania

Taxonomic_Classification:

Taxon_Rank_Name: Species

Taxon_Rank_Value: Licania michauxii

Applicable_Common_Name: gopher apple

Access_Constraints: None

Use_Constraints:

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 citation below when citing the data product:

Ottmar, Roger D.; Restaino, Joseph C. 2014. RxCADRE 2008, 2011, and 2012: Ground fuel measurements from prescribed fires. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2014-0028

Browse_Graphic:

Browse_Graphic_File_Name: \Supplements\YEAR photos\DESC_SITE_YEAR.jpg

Browse_Graphic_File_Description:

Various images of the sites and burns for the 2008, 2011, and 2012 studies. (DESC=image description, SITE=name of site, YEAR=year)

Browse_Graphic_File_Type: JPEG

Browse_Graphic:

Browse_Graphic_File_Name: \Supplements\2012 demo photos\Picture PIC#.jpg

Browse_Graphic_File_Description:

Candid photos of the 2012 CADRE demonstration. Images are of the demonstration itself as well as the people attending the demonstration. (PIC#=picture number 102-167)

Browse_Graphic_File_Type: JPEG

Browse_Graphic:

Browse_Graphic_File_Name: \Supplements\2012 SITE photos\CADRE_2012_SITE_Y_Z.jpg

Browse_Graphic_File_Description:

Photographs of each 2012 plot pre- and post-burn. (SITE=name of site, Y=plot #, Z=timing of burn which is pre or post)

Browse_Graphic_File_Type: JPEG

Data_Set_Credit:

Funding for this project provided by Joint Fire Science Program (JFSP 11-2-1-11): https://www.firescience.gov. Funding also provided by the USDA Forest Service, Pacific Northwest Research Station: //www.fs.fed.us/pnw/.

Cross_Reference:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Vihnanek, Robert E.

Originator: Wright, Clinton S.

Originator: Hudak, Andre T.

Publication_Date: 2013

Title:

Ground measurements of fuel and fuel consumption from experimental and operational prescribed fires at Eglin Air Force Base, Florida

Geospatial_Data_Presentation_Form: conference proceedings

Series_Information:

Series_Name: Fire Behavior and Fuels Conference

Issue_Identification: 4th

Publication_Information:

Publication_Place: Missoula, MT

Publisher: International Association of Wildland Fire

Other_Citation_Details:

In: Wade, D.D.; Fox, R.L. (Eds). Proceedings of the 4th Fire Behavior and Fuels Conference. Raleigh, NC February 18-22, 2013 and St. Petersburg, Russia July 1-4, 2013.

Cross_Reference:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Hudak, Andrew T.

Originator: Wright, Clinton S.

Originator: Vihnanke, Robert E.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

Pre- and post-fire surface fuel and cover measurements - RxCADRE 2008, 2011, 2012

Geospatial_Data_Presentation_Form: journal article

Series_Information:

Series_Name: International Journal of Wildland Fire

Issue_Identification:

Other_Citation_Details:

In review

Cross_Reference:

Citation_Information:

Originator: Ottmar, Roger

Originator: Clements, Criag

Originator: Butler, Bret

Originator: Dickinson, Matthew B.

Originator: Potter, Brian

Originator: O'Brien, Joseph

Publication_Date: 20140930

Title:

Dataset for fuels, fire behavior, smoke, and fire effects model development and evaluation—the RxCADRE Project

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Final Report for JFSP Project #1-2-1-11

Online_Linkage: https://www.firescience.gov/projects/11-2-1-11/project/11-2-1-11_final_report.pdf

Data_Quality_Information:

Attribute_Accuracy:

Attribute_Accuracy_Report:

Pre- and post-burn plots in all units were not "paired" and do not meet the requirements for paired statistical tests. Thus, caution must be taken when extracting plot-level inferences from the dataset.

Destructive sampling techniques, such as the clip and weigh method utilized in RxCadre, are generally known to be the most accurate techniques for the measurement of of the dry weight biomass of vegetation. The accuracy of the method is a result of a 100% sampling of biomass within a defined area. The clip and weigh method was used consistently throughout the study area.

Summary statistics are provided in the dataset (i.e., standard deviation, standard error) so that users have specific measures of variability in the data.

The line intersect method (i.e., Brown's transect) for measuring surface fuels, a non-destructive sampling techniques, is generally known to be the most accurate method for quantifying the down component of course woody debris - provided the assumptions of random piece orientation and spatially random piece distribution are met (Brown 1974). No evidence was present in the study areas to contradict the afformentioned assumptions. Protocol was followed to achieve a systematic random sampling, and line transects were randomly oriented in the field.

Brown, James K. 1974. Handbook for inventorying downed woody material. Gen. Tech. Rep. INT-16. Ogden, UT: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station. 24 p.

Logical_Consistency_Report:

Fuel loading: Following data entry, each entered data value was checked independently against the original data form by two separate technicians for completeness and accuracy.

Fuel moisture: Net dry weights were recorded, entered into data templates, and checked twice by different technicians to ensure accuracy.

LiDAR calibration: To assist in terrestrial LiDAR calibration, 54 individual turkey oak (Quercus laevis) clumps were sampled. See Methods for more details.

Completeness_Report:

Two data variables from the same plot (L2F_HIP_3, plot 3, Pre_loading_emergent_veg, Post_loading_100hr) were removed as outliers due to a sampling mistake. A 6 foot tall turkey oak was collected by mistake as "emergent vegetation" and one of its partially detached branches was collected as 100hr fuel post fire. A discussion across RxCADRE disciplines resulted in the agreement to delete these observations from the dataset. All other data for all other sites were included in the dataset.

Zeroes ('0') in all data sets were used to describe the absence of observations of data variables at a given plot. Dashes (--) in all data sets were used to describe measurements of data variables that are not applicable (n/a) at a given plot. For example, if a particular category of vegetation cover is not observed, it is recorded as 0% cover ('zero'). Yet, if a particular category of vegetation is not present in a given plot to have its height measured, the height is recorded as '-'. Dashed data values, then, are not included in the unit level summary for vegetation height.

There are only 11 plots for 2012 L2F-HIP3 because plot 12 was never established. We are also missing a picture for 2012 L2F-HIP2 plot 7.

The \Supplements folder contains scans of original field notes for various sites where available, hence we do not have this information for every site.

Lineage:

Methodology:

Methodology_Type: Field

Methodology_Description:

Destructive sample fuel plots were established in a systematic grid pattern in each 5 hectare (ha) sample unit located in Dubignon East, North Boundary, Turkey Woods, 307B, and 608A burn blocks in February, 2008. Twenty pre-fire and 20 post-fire fuel plots were alternately located at 20-meter (m) intervals along two parallel transects 40 m apart. Vegetation was clipped and separated by category: forb, wiregrass, other grass, litter, palmetto, and shrub. All woody fuel size classes, cones, and litter were collected as well. Shrubs were collected in a 4-square meter (m²) plot, while all other material was collected in a nested, 1-m² plot.

In February 2011, two blocks at Eglin AFB (703C and 608A) were burned, with three widely separated sampling units in burn block 703 C (703C-W, 703C-E) and three widely separated sampling units in burn block 608A (608A-NW, 608A-SW, 608A-SE). One sampling unit in the latter case had 20 pre-fire and 20 post-fire fuel plots (1-m²) alternately situated at 5-m intervals along two parallel transects 30 m apart (similar to the 2008 sampling design). The other four sampling units each consisted of 20 pre-fire and 20 post-fire fuel plots (1-m²) distributed at 5-m intervals around the periphery of a 40-m x 40-m highly instrumented plot (HIP).

In 2012, six small blocks (2 ha each; S3, S4, S5, S7, S8, and S9) and three large blocks (> 125 ha; L1G, L2G and L2F) were burned at Eglin AFB. The small blocks were each surrounded by 25 pre-fire and 25 post-fire fuel plots alternately situated at 10-m intervals. In each of the large blocks, 30 pre-fire and 30 post-fire 1-m² fuel plots were alternately situated at 50-m intervals along three roughly parallel transects about 100 m apart (similar to the 2008 sampling design). An additional three sampling units were located within each large block (L1G-HIP 1, L1G-HIP 2, L1G-HIP 3, L2G-HIP 1, L2G-HIP 2, L2G-HIP 3, L2F-HIP 1, L2F-HIP 2, L2F-HIP 3) each consisting of either 9 (two non-forest blocks) or 12 (one forest block) pre-fire and post-fire fuel plots alternately situated at 2.5-m intervals around the periphery of a 20-m² HIP (similar to the 2011 sampling design). Fuel plots in the 2012 non-forest sample units were 1-m² and 0.5-m² in the forested unit.

At each pre-burn fuel plot in 2012, vegetation coverage (%) was visually estimated for the grass, forb, shrub, oak, and bare soil. Maximum heights for each life form category were measured to the nearest centimeter (cm). Average (mean) "center of mass" heights were also measured (cm) for each life form category. Average height measurements reflect the visual assessment of the maximum continuous distribution of mass for each vegetation life form.

Upon completion of the vegetation coverage assessments and height measurements, fuel from within all fuel plots was collected and categorized into four fuelbed categories [herbaceous (grasses and forbs), shrub, down-and-dead wood by size class, and litter]. All species of grasses were sampled together as one single vegetation life form. All species of forbs were sampled together as one single vegetation life form. "Emergent vegetation" was considered as a single vegetation life form that included all species that exceeded the height of the dominant vegetative surface as perceived by aerial observation. Emergent species data were collected, processed, and reported as the vegetation life form, "Oak".

"Non-emergent" vegetation was considered a single vegetation life form that included all species of shrubs and sub-shrubs that did not exceed the dominant vegetative surface as perceived by aerial observation. A list of the most common "non-emergent" species is included. Non-emergent species data were, collected, processed, and reported as the vegetation life form, "Shrub".

The purpose of the post-burn plots (1-m²) was to quantify loading by vegetation life form for the post-burn environment. No vegetation coverage (%) or vegetation height measurements (cm) were taken at these plots. All collected vegetation from both the pre- and post-fire plots were bagged and oven dried at 70 degrees C, then weighed to determine pre- and post-fire loading in mass per unit area (Megagrams/hectare [Mg/ha] or pounds/ton [lbs/ton]).

Because of frequent burning in this longleaf pine ecosystem, little accumulation of large woody debris occurs; however, planar intersect transects 22 meters long originating at each fuel plot were used to quantify woody fuels > 7.6 cm diameter in a forested block in 2008 (307B) and 2012 (L2F), the only two units where there was substantial > 7.6 cm diameter woody debris to measure. These 7.6 cm diameter woody fuels were measured and included in the unit-level pre- and post-fire fuel loading and consumption calculations.

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger, D.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

RxCADRE ground fuel measurements from prescribed fire: 2008

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2008_CADRE_Methods.pdf

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

RxCADRE ground fuel measurements from prescribed fire: 2011

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2011_CADRE_Methods.pdf

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

RxCADRE ground fuel measurements from prescribed fire: 2012

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2012_CADRE_Methods.pdf

Methodology:

Methodology_Type: Field

Methodology_Description:

Fuel moisture sampling was conducted within 30 minutes of ignition for each burn unit. Samples (n=5) of each vegetation life form (including litter) were collected outside the perimeter of each burn unit. Saw palmetto (Serenoa repens) moisture samples were taken separately from other "emergent" vegetation. Otherwise, five samples of "emergent" and five samples of "non-emergent" vegetation were collected and the species of each sample was noted. For the species turkey oak, (Quercus laevis), fuel moisture sampling was constrained to the leaves as the woody stems were determined to be too wet to burn. All moisture samples were sealed and net green ("wet") weights were measured as soon as possible in the field, generally within 6 hours of ignition. Moisture samples were then checked, boxed, and shipped to Seattle, Washington for processing. Samples were oven-dried at 70° Celsius for 48 hours.

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger, D.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

RxCADRE ground fuel measurements from prescribed fire: 2008

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2008_CADRE_Methods.pdf

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

RxCADRE ground fuel measurements from prescribed fire: 2011

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2011_CADRE_Methods.pdf

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Restaino, Joseph C.

Publication_Date: Unknown

Title:

RxCADRE ground fuel measurements from prescribed fire: 2012

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2012_CADRE_Methods.pdf

Methodology:

Methodology_Type: Field

Methodology_Description:

In 2012, 54 individual turkey oak (Quercus laevis) clumps, across a range of sizes, were sampled in order to assist in terrestrial LiDAR calibration. There are no exact sample locations for the turkey oak sampling, but in general the sampling was conducted along the southeast end of L2G and between units S7 and S8.

Data collected include: maximum height, average ("center of mass") height, maximum crown diameter, and perpendicular crown diameter. Upon completion of the cluster dimension measurements, all vegetation was collected by size class (leaves, 1-hr, 10-hr, 100-hr).

All vegetation and woody fuel samples were labeled, checked, boxed, and shipped to Seattle, WA for processing. Samples were oven-dried at 70 degrees Celsius for 48 hours.

Methodology_Citation:

Citation_Information:

Originator: Ottmar, Roger D.

Originator: Restaino, Joseph C.

Publication_Date: Unpublished material

Title:

RxCADRE ground fuel measurements from prescribed fire: 2012

Geospatial_Data_Presentation_Form: document

Other_Citation_Details:

Available via full data publication download: \Supplements\2012_CADRE_Methods.pdf

Process_Step:

Process_Description:

Consumption was calculated by subtracting the average pre-fire loading from average post-fire loading, by fuelbed category, for each set of plots.

Process_Date: 2013

Process_Step:

Process_Description:

Fuel moisture content (%) was determined using a macro-based Excel spreadsheet using the following equation: 100*[ (Wet weight of sample - dry weight of sample) / (dry weight of sample - container tare weight) ]. Moisture contents are reported for the categories of "emergent" and "non-emergent" vegetation, as well as by species.

Process_Date: 2013

Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

This data publication consists of 30 Comma-delimited ASCII (CSV) files related to prescribed burns in 2008, 2011, and 2012.

GENERAL DATA FILE STRUCTURE
The first 29 data files in the product have the structure described below.

Column 1: Descriptor explaining the contents of the data provided in that particular row. Descriptors include:

Category = Variable name (see below for complete description of each variable).

Units = Units of measurement (tons_acre = tons per acre, Mg_ha = Megagrams per hectare, grams_m² = grams per square meter, % = percentage, mm = millimeter, m = meter, and cm = centimeter).

Plot_XX = Plot XX measurement for the specified variable (listed as the Category), where XX = the plot number. NOTE: there are measurements for multiple plots.

Mean = Average measurement across plots.

Std_Dev = Standard deviation of the plot measurements based on the sample.

Std_Error = Standard error of the plot measurements.

Min = Minimum plot measurement.

Max = Maximum plot measurement.

95%_CI = Width of a 95% confidence interval for the mean.

Column 2+: Name, units, and data for the specified variable. Below is a general list of possible variable names. In the actual files the variable orders vary. Some of these files contain the same data in multiple units or for both transect and clip plots. Units and plot types are listed in the data files themselves. There are separate variables for PRE- and POST- burn data. There are also separate variables for the same measurement provided in different units (referred to as RAW, which means it is the original unit of measure, or METRIC, which means the unit was calculated from the raw unit). There are also variables referred to as REBINNED, which simply means that they are a lumping of multiple sub-categories to form another category. Lastly, some variables are labelled as TOTAL, which is the sum of all biomass measured at a given plot.

*NOTE: These are only GENERAL descriptions of the variables, see \Supplements\Variable_descriptions_fuel_loading.csv for a complete description of each variable).

[PRE/POST]_XXhrY_decay = Pre/Post-burn decay class of the Yth XX hour fuel on transect. (XX = 1, 10, 100, or 1000 hour fuel. Y = 1 for first, 2 for second, or 3 for third fuel found on transect. Decay class 1 = sound, freshly fallen, intact logs; 2 = sound; 3 = heartwood sound, piece supports its own weight; 4 = heartwood rotten, piece does not support its own weight, but maintains its shape; and 5 = none, piece no longer maintains its shape, it spreads out on ground. For more details on decay class see: FIA [Forest Inventory and Analysis] Methods and Field Guides: Down Woody Materials [2005]. //www.fia.fs.fed.us/library/field-guides-methods-proc/docs/2006/p3_3-0_sec14_10_2005.pdf.)

[PRE/POST]_XXhrY_diam = Pre/Post-burn diameter of Yth XX hour fuel on transect. (XX = 1, 10, 100, or 1000 hour fuel; and Y = 1 for first, 2 for second, or 3 for third fuel found on transect).

[PRE/POST]_XXhrY_distance = Pre/Post-burn location of Yth XX hour fuel on transect. (XX = 1, 10, 100, or 1000 hour fuel; and Y = 1 for first, 2 for second, or 3 for third fuel found on transect).

Post_XXhr_count = Number of individual XX hour fuels on transect post-burn. (XX = 1, 10, 100, or 1000 hour fuel).

Pre_avg_height_VEGTYPE = Pre-burn average height measurements reflect the visual assessment of the modal height of all VEGTYPE in the clip plot. (VEGTYPE = emergent vegetation, forb, grass, nonemergent vegetation, oak, or shrub).

Pre_max_height_VEGTYPE = Pre-burn maximum height of all VEGTYPE. (VEGTYPE = emergent vegetation, forb, grass, nonemergent vegetation, oak, or shrub).

Pre_veg_cover_VEGTYPE = Pre-burn percent cover of VEGTYPE within the 1 meter square clip plot. (VEGTYPE = bare soil, emergent vegetation, forb, grass, litter, nonemergent vegetation, oak, shrub, log [which are large woody fuels that are > 3 inches in diameter], or TOTAL [which is all biomass]).

[PRE/POST]_[LITTER/DUFF]_VEGTYPE_depth_WWm = Depth of Pre/Post duff/litter measurement (if VEGTYPE specified, type=VEGTYPE only) at WW meters from origin of transect. (WW = 5, 10, 15, or 20 meters).

[PRE/POST]_coneY_distance = Location of Pre/Post Yth cone on transect. (Y = 1 for first, 2 for second, or 3 for third cone found on transect)

[PRE/POST]_[RAW/METRIC]_loading_VEGTYPE = Pre/Post-burn loading of VEGTYPE. (2012 note: Transect data is used for >3 inch woody fuels [2012_L2F, and 2008_307B]. Transect data is also used for <3 inch woody fuels for 2008_307B. All other data is from clip plots.) (VEGTYPE = cone, duff, emergent vegetation, all forb, dead forb, live forb, grass, high shrub, litter, conifer only litter, hardwood only litter, low shrub, miscellaneous grass, non emergent vegetation, oak, shrub, turkey oak, turkey oak leaves, vine, wiregrass, woody 1 and 10 hour fuels, yucca, live palmetto, dead palmetto, live palmetto fronts, live palmetto rachis, or TOTAL [which means all biomass]).

[PRE/POST]_loading_XXhr = Pre/Post-burn loading of all XX hour fuels. Note that pre-burn fuels are based on Brown’s transect data where as post-burn data are based on clip plot data (except for 100 hour post which is based on transect data). (XX = 1, 10, 100, or 1000 hour fuel).

[PRE/POST]_loading_[RAW/METRIC]_XXhr = Pre/Post-burn loading of all XX hour fuels. (XX = 1, 10, 100, or 1000 hour fuel).

[PRE/POST]_loading_[RAW/METRIC]_rebinned_VEGTYPE = Pre/Post-burn loading of VEGTYPE (VEGTYPE = herb [forbs and grasses], litter [all litter types], shrub [emergent & non-emergent species], total=all biomass).

[PRE/POST]_loading_[RAW/METRIC]_rebinned_woody_1000hr = Pre/Post-burn loading of 1000 hour woody fuels.

[PRE/POST]_loading_[RAW/METRIC]_rebinned_woody_1hr_10hr_100hr_cone = Pre/Post-burn loading of all small woody components which includes 1 hour, 10 hour, and 100 hour fuels as well as cones.


LIST OF DATA FILES
There are 5 files that contain pre- and post- burn fuel loading data relating to prescribed burns in 2008:
\Data\2008_307B.csv
\Data\2008_608A.csv
\Data\2008_Dub_East.csv
\Data\2008_North_Boundary.csv
\Data\2008_Turkey_Woods.csv

There are 5 files that pre- and post- burn fuel loading data relating to prescribed burns in 2011:
\Data\2011_608A_NW.csv
\Data\2011_608A_SE.csv
\Data\2011_608A_SW.csv
\Data\2011_703C_E.csv
\Data\2011_703C_W.csv

There are 18 files that contain pre- and post- burn fuel loading data relating to prescribed burns in 2012:
\Data\2012_L1G.csv
\Data\2012_L1G_HIP_1.csv
\Data\2012_L1G_HIP_2.csv
\Data\2012_L1G_HIP_3.csv
\Data\2012_L2F.csv
\Data\2012_L2F_HIP_1.csv
\Data\2012_L2F_HIP_2.csv
\Data\2012_L2F_HIP_3.csv
\Data\2012_L2G.csv
\Data\2012_L2G_HIP_1.csv
\Data\2012_L2G_HIP_2.csv
\Data\2012_L2G_HIP_3.csv
\Data\2012_S3.csv
\Data\2012_S4.csv
\Data\2012_S5.csv
\Data\2012_S7.csv
\Data\2012_S8.csv
\Data\2012_S9.csv

ADDITIONAL FILES
There is 1 file that contains data for turkey oak relating to prescribed burns in 2012:
\Data\2012_Turkey_oak_sampling.csv
*** The general structure of this file is the same as the files listed above, but the variables are slightly different:

turkey oak_CMH = center of mass height for turkey oak samples.
turkey oak_Height = Total height for turkey oak samples.
turkey oak_Loading_100hr = Loading of turkey oak separated for only 100 hour (hr) fuels.
turkey oak_Loading_10hr = Loading of turkey oak separated for only 10 hr fuels.
turkey oak_Loading_1hr = Loading of turkey oak separated for only 1 hr fuels.
turkey oak_Loading_leaves = Loading of turkey oak separated for only leaves.
turkey oak_Loading_Total = Loading of turkey oak all categories together.
turkey oak_Max_Diameter = Maximum diameter of turkey oak clump.
turkey oak_Min_Diameter = Diameter perpendicular to maximum diameter of turkey oak clump.

The final data file in this data publication contains fuel moisture data from these burns, and the data file structure is different than the others.
\Data\CADRE_2008_2011_2012_Fuel moistures.csv contains the following variables:
Year = year of study.
Site = name of site.
Category = fuel moisture variable name (see below for a very GENERAL description of each variable).
Units = fuel moisture unit, which is % for these data.
Mean_FM = Mean fuel moisture (%).
SE = Standard error.

*NOTE: These are only very GENERAL descriptions of the variables, see \Supplements\Variable_descriptions_fuel_moisture.csv for complete descriptions of each variable by year, site, and category).
FM_1000hr = Live Fuel moisture content (%) of 1000 hour (hr) fuels at time of ignition.
FM_1hr_10hr_100hr_cone = Fuel moisture content (%) of 1 hr, 10 hr, 100 hr, and/or cone fuels at time of ignition.
FM_Herb = Live fuel moisture content (%) of misc grass at time of ignition.
FM_Litter = Live fuel moisture content (%) of litter at time of ignition.
FM_Shrub = Live fuel moisture content (%) of all shrubs at time of ignition.

Entity_and_Attribute_Detail_Citation:

See PDF files in the \Supplements folder for site descriptions and more details on variables and methods.

Distribution_Information:

Distributor:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA Forest Service, Research and Development

Contact_Position: Research Data Archivist

Contact_Address:

Address_Type: mailing and physical

Address: 240 West Prospect Road

City: Fort Collins

State_or_Province: CO

Postal_Code: 80526

Country: USA

Contact_Voice_Telephone: see Contact Instructions

Contact Instructions: This contact information was current as of December 2016. For current information see Contact Us page on: https://doi.org/10.2737/RDS

Resource_Description: RDS-2014-0028

Distribution_Liability:

Metadata documents have been reviewed for accuracy and completeness. Unless otherwise stated, all data and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. However, neither the author, the Archive, nor any part of the federal government can assure the reliability or suitability of these data for a particular purpose. The act of distribution shall not constitute any such warranty, and no responsibility is assumed for a user's application of these data or related materials.

The metadata, data, or related materials may be updated without notification. If a user believes errors are present in the metadata, data or related materials, please use the information in (1) Identification Information: Point of Contact, (2) Metadata Reference: Metadata Contact, or (3) Distribution Information: Distributor to notify the author or the Archive of the issues.

Standard_Order_Process:

Digital_Form:

Digital_Transfer_Information:

Format_Name: ASCII

Format_Version_Number: see Format Specification

Format_Specification:

Comma-delimited ASCII text file (CSV)

File_Decompression_Technique: Files zipped with Winzip 14.0

Digital_Transfer_Option:

Online_Option:

Computer_Contact_Information:

Network_Address:

Network_Resource_Name: https://doi.org/10.2737/RDS-2014-0028

Fees: None

Metadata_Reference_Information:

Metadata_Date: 20161214

Metadata_Contact:

Contact_Information:

Contact_Person_Primary:

Contact_Person: Ottmar, Roger

Contact_Organization: USDA Forest Service, Pacific Northwest Research Station

Contact_Address:

Address_Type: mailing and physical

Address: 400 N 34th Street, Suite 201

City: Seattle

State_or_Province: WA

Postal_Code: 98103

Country: USA

Contact_Voice_Telephone: 206-732-7826

Contact_Electronic_Mail_Address: rottmar@fs.fed.us

Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001.1-1999