Vegetation, fuels, and fire weather data from post-fire landscapes on the Plumas and Lassen National Forests

Metadata:
Identification_Information:
Citation:
Citation_Information:
Originator: Coppoletta, Michelle
Originator: Merriam, Kyle E.
Originator: Collins, Brandon M.
Publication_Date: 2015
Title:
Vegetation, fuels, and fire weather data from post-fire landscapes on the Plumas and Lassen National Forests
Geospatial_Data_Presentation_Form: tabular digital data
Publication_Information:
Publication_Place: Fort Collins, CO
Publisher: Forest Service Research Data Archive
Other_Citation_Details:
data publication updated 06 May 2016
Online_Linkage: https://doi.org/10.2737/RDS-2015-0039
Description:
Abstract:
This data publication contains tree, fuels, and vegetation, and ground cover measurements from a permanent grid of common stand exam plots established following four fires that occurred between 2000 and 2010 on the Plumas and Lassen National Forests in northern California. Data were collected between 2009 and 2012. Portions of these four fires were reburned by the 30,000 hectare Chips Fire in 2012, which burned 118 of the previously established field plots. Data describing plot locations, fire history, and year of data collection is included. Fire weather data collected during the 2012 Chips Fire by three portable Remote Automated Weather Stations are also provided.
Purpose:
These data were collected as part of a large inventory and monitoring effort conducted to assess post-fire conditions after the 2000 Storrie Fire and the 2008 Rich Fire on the Plumas and Lassen National Forests. After a portion of the plots were reburned by the 2012 Chips Fire, the data were used in an analysis investigating the effect of vegetation, fuels, topography, fire weather, and forest management on reburn severity. The purpose was to identify characteristics that land managers could target to influence the potential severity and frequency of subsequent fires to create more fire resilient forest landscapes.
Supplemental_Information:
Original metadata date was 10/14/2015. An additional variable (tree_count) was added to the tree data file on 10/27/2015. On 05/06/2016 the Cross References were updated to include information for the new publication associated with these data (Coppoletta et al. 2016).

Minor metadata updates on 12/15/2016.
Time_Period_of_Content:
Time_Period_Information:
Range_of_Dates/Times:
Beginning_Date: 2009
Ending_Date: 2012
Currentness_Reference:
ground condition
Status:
Progress: Complete
Maintenance_and_Update_Frequency: Unknown
Spatial_Domain:
Description_of_Geographic_Extent:
Lassen and Plumas National Forests in northern California
Bounding_Coordinates:
West_Bounding_Coordinate: -124.536465
East_Bounding_Coordinate: -113.684409
North_Bounding_Coordinate: 42.684604
South_Bounding_Coordinate: 32.432436
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: Fire
Theme_Keyword: Fire effects on environment
Theme_Keyword: Inventory, Monitoring, & Analysis
Theme_Keyword: Monitoring
Theme_Keyword: Natural Resource Management & Use
Theme_Keyword: Forest management
Theme:
Theme_Keyword_Thesaurus: None
Theme_Keyword: lower montane mixed-conifer forest
Theme_Keyword: post-fire
Theme_Keyword: trees
Theme_Keyword: shrubs
Theme_Keyword: snags
Theme_Keyword: fuels
Place:
Place_Keyword_Thesaurus: None
Place_Keyword: Sierra Nevada
Place_Keyword: California
Place_Keyword: northern California
Place_Keyword: Plumas National Forest
Place_Keyword: Lassen National Forest
Place_Keyword: North Fork Feather River
Place_Keyword: Storrie Fire
Place_Keyword: Rich Fire
Place_Keyword: Chips Fire
Place_Keyword: Bar Fire
Place_Keyword: Butte Lightning Complex
Taxonomy:
Keywords/Taxon:
Taxonomic_Keyword_Thesaurus:
None
Taxonomic_Keywords: multiple species
Taxonomic_Keywords: plants
Taxonomic_System:
Classification_System/Authority:
Classification_System_Citation:
Citation_Information:
Originator: ITIS
Publication_Date: 2015
Title:
Integrated Taxonomic Information System
Geospatial_Data_Presentation_Form: database
Other_Citation_Details:
Retrieved [October, 7, 2015]
Online_Linkage: https://www.itis.gov
Classification_System_Modifications:
The scientific name for tan oak (Notholithocarpus densiflorus) was not recognized as an acceptable name by ITIS, so the taxonomy provided below is for the ITIS suggested scientific name for tan oak: Lithocarpus densiflorus.
Taxonomic_Procedures:
Taxonomic_Completeness:
Taxonomy list is complete and up to date on current scientific names (October 30, 2014).
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: Viridiplantae
Taxonomic_Classification:
Taxon_Rank_Name: Infrakingdom
Taxon_Rank_Value: Streptophyta
Applicable_Common_Name: land plants
Taxonomic_Classification:
Taxon_Rank_Name: Superdivision
Taxon_Rank_Value: Embryophyta
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: Class
Taxon_Rank_Value: Magnoliopsida
Taxonomic_Classification:
Taxon_Rank_Name: Superorder
Taxon_Rank_Value: Asteranae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Cornales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Cornaceae
Applicable_Common_Name: dogwoods
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Cornus
Applicable_Common_Name: dogwood
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 chrysolepis
Applicable_Common_Name: canyon live oak
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Quercus kelloggii
Applicable_Common_Name: California black oak
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Lithocarpus
Applicable_Common_Name: tanoak
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Lithocarpus densiflorus
Applicable_Common_Name: tanoak
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Betulaceae
Applicable_Common_Name: alder
Applicable_Common_Name: birch
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Alnus
Applicable_Common_Name: alder
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Sapindales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Sapindaceae
Applicable_Common_Name: soapberries
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Acer
Applicable_Common_Name: maples
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Acer glabrum
Applicable_Common_Name: California mountain maple
Applicable_Common_Name: Douglas' maple
Applicable_Common_Name: dwarf maple
Applicable_Common_Name: mountain maple
Applicable_Common_Name: New Mexico maple
Applicable_Common_Name: Sierra maple
Applicable_Common_Name: Rocky Mountain maple
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Acer macrophyllum
Applicable_Common_Name: bigleaf maple
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Malpighiales
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Salicaceae
Applicable_Common_Name: willows
Applicable_Common_Name: saules
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Salix
Applicable_Common_Name: saule
Applicable_Common_Name: saules
Applicable_Common_Name: willow
Taxonomic_Classification:
Taxon_Rank_Name: Class
Taxon_Rank_Value: Pinopsida
Applicable_Common_Name: conifers
Taxonomic_Classification:
Taxon_Rank_Name: Subclass
Taxon_Rank_Value: Pinidae
Taxonomic_Classification:
Taxon_Rank_Name: Order
Taxon_Rank_Value: Pinales
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Pinaceae
Applicable_Common_Name: pines
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Abies
Applicable_Common_Name: fir
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Abies concolor
Applicable_Common_Name: balsam fir
Applicable_Common_Name: silver fir
Applicable_Common_Name: Colorado fir
Applicable_Common_Name: concolor fir
Applicable_Common_Name: white balsam
Applicable_Common_Name: oyamel de California
Applicable_Common_Name: white fir
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Abies magnifica
Applicable_Common_Name: golden fir
Applicable_Common_Name: Shasta fir
Applicable_Common_Name: Shasta red fir
Applicable_Common_Name: silvertip fir
Applicable_Common_Name: California red fir
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Pinus
Applicable_Common_Name: pine
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus contorta
Applicable_Common_Name: lodgepole pine
Applicable_Common_Name: scrub pine
Applicable_Common_Name: shore pine
Applicable_Common_Name: tamarack pine
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus jeffreyi
Applicable_Common_Name: Jeffrey's pine
Applicable_Common_Name: black pine
Applicable_Common_Name: pino negro
Applicable_Common_Name: Jeffrey pine
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus lambertiana
Applicable_Common_Name: sugar pine
Applicable_Common_Name: California sugar pine
Applicable_Common_Name: pino de azúcar
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus monticola
Applicable_Common_Name: western white pine
Applicable_Common_Name: Idaho white pine
Applicable_Common_Name: mountain white pine
Applicable_Common_Name: silver pine
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pinus ponderosa
Applicable_Common_Name: ponderosa pine
Applicable_Common_Name: bull pine
Applicable_Common_Name: western yellow pine
Applicable_Common_Name: blackjack pine
Applicable_Common_Name: pinabete
Applicable_Common_Name: rock pine
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Pseudotsuga
Applicable_Common_Name: Douglas-fir
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Pseudotsuga menziesii
Applicable_Common_Name: red fir
Applicable_Common_Name: Douglas spruce
Applicable_Common_Name: Oregon pine
Applicable_Common_Name: Douglas-fir
Taxonomic_Classification:
Taxon_Rank_Name: Family
Taxon_Rank_Value: Cupressaceae
Applicable_Common_Name: cypress
Applicable_Common_Name: redwood
Taxonomic_Classification:
Taxon_Rank_Name: Genus
Taxon_Rank_Value: Calocedrus
Applicable_Common_Name: incense cedar
Taxonomic_Classification:
Taxon_Rank_Name: Species
Taxon_Rank_Value: Calocedrus decurrens
Applicable_Common_Name: incense cedar
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 following citation:

Coppoletta, Michelle; Merriam, Kyle E.; Collins, Brandon M. 2015. Vegetation, fuels, and fire weather data from post-fire landscapes on the Plumas and Lassen National Forests. Fort Collins, CO: Forest Service Research Data Archive. data publication updated 06 May 2016. https://doi.org/10.2737/RDS-2015-0039
Browse_Graphic:
Browse_Graphic_File_Name: \Supplement\Map_StudyArea.jpg
Browse_Graphic_File_Description:
JPG file containing a map of the study area showing the locations of each fire, the field plots, and the portable RAWs stations.
Browse_Graphic_File_Type: JPEG
Data_Set_Credit:
Funding for this project came from USDA Forest Service, Plumas National Forest. Special thanks to the following individuals for their support and assistance with data collection: Hugh Safford; T. Gomez and other staff at Natural Resources Management Corporation; E. Jules, M. DeSiervo, T. Harris, L. Negotia, M. Mansfield, and D. Davis for Humboldt State University; W. Cartwright, B. Stewart, S. Causemaker, and M. Friend.

Weather data for this study can be credited to the Plumas National Forest, USDA Forest Service who owns the three RAWs stations from which we obtained the data.
Cross_Reference:
Citation_Information:
Originator: Coppoletta, Michelle
Originator: Merriam, Kyle E.
Originator: Collins, Brandon M.
Publication_Date: 2016
Title:
Post-fire vegetation and fuel development influences fire severity patterns in reburns
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecological Applications
Issue_Identification: 26(3):686-699
Online_Linkage: https://doi.org/10.1890/15-0225
Cross_Reference:
Citation_Information:
Originator: DeSiervo, Melissa H.
Originator: Jules, Erik S.
Originator: Safford, Hugh D.
Publication_Date: 2015
Title:
Disturbance response across a productivity gradient: postfire vegetation in serpentine and nonserpentine forests
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecosphere
Issue_Identification: 6.4: art60
Online_Linkage: https://doi.org/10.1890/ES14-00431.1
Back to Top
Data_Quality_Information:
Attribute_Accuracy:
Attribute_Accuracy_Report:
Data were derived from two separate sampling efforts (see description of methodology below). Data in the Storrie Fire footprint were collected by independent contractors (Natural Resources Management Corporation) between 2009 and 2011. Specifications in the contract included accuracy standards for each variable measured and a quality control plan. (See \Supplements\StorrieFire_DataCollectionProtocol.pdf for details about the data collection protocol for this fire). Forest Service staff re-measured 8% of the plots to ensure measurements were accurate and met the precision protocol for stand exams as described in the USDA’s Forest Service Common Stand Exam User Guide (USDA Forest Service 2009). The Rich Fire data were collected between 2011 and 2012 by graduate and undergraduate students employed by Humboldt State University. Prior to data collection, students attended a multi-day session led by the Region 5 Ecology Program, where they received extensive training on the sampling methods.

Below are precision estimates for the variables measured.
1. Duff depth measured with rulers to the nearest 0.1 inch.

2. Percent cover estimates (trees, understory, shrubs, and ground cover) measured to the nearest percentage point.

3. Plot locations measured with Trimble GeoXT 2008 GPS Units with sub-meter accuracy.

4. All tree measurements (used to derive basal area) were taken with a DBH tape; measurements were accurate to the nearest 0.1 inch.

5. Overstory, understory, and shrub cover were measured using ocular estimates. In the Storrie Fire, these data were collected within a 5-meter (m) radius plot, while in the Rich Fire these data were collected in a 16-m radius plot. The larger plot size may have resulted in lower precision of estimates, however we found no differences in a statistical comparison of the two methodologies.

6. Ground cover was measured differently between the two sampling efforts. In the Storrie Fire, ground cover was measured along a 6-m transect using a point intercept method (tape and pin), with points spaced at 6-centimeter intervals. In the Rich Fire, the percent cover of each ground surface category was visually estimated within a 16-m plot. Again, the larger plot size may have resulted in lower precision of estimates.

7. Fuel size was measured with Go-No-Go gauges.

USDA Forest Service. 2009. Common stand exam field guide: Region 5. Unpublished report. Washington, DC: Natural Resource Information System.(updated version of this report is available here: https://www.fs.fed.us/nrm/documents/fsveg/cse_user_guides/R5FG.pdf)
Logical_Consistency_Report:
Data were checked for erroneous entries. Differences in data collection methods between the two fires should be considered an inherent limitation of these data. We utilized t-tests to determine if significant differences between variables could be attributed to data collection method. We found no significant differences (two-tailed t-test, p > 0.05) between data collection methods for any of the variables except mean snag density (snags/hectare) and percent cover of rock, litter, wood, and bare ground.
Completeness_Report:
not applicable
Lineage:
Methodology:
Methodology_Type: Field
Methodology_Description:
Data were derived from two separate sampling efforts. The first effort was conducted within the 2000 Storrie Fire footprint between 2009 and 2011 and encompassed a portion of the 2008 BTU Complex. The second effort occurred within the 2008 Rich Fire footprint between 2011 and 2012 and encompassed a small portion of the 2010 Bar Fire. For both the Storrie and Rich fires, field plots were established in a systematic grid across the fire area. Plot centers were established on the vertices of a 400-meter (m) grid in the Storrie Fire and a 200-m grid in the Rich Fire. Field data for both fires were collected using the USDA Forest Service common stand exam protocol (USDA Forest Service 2009), which consists of two concentric circular plots originating from a single plot center. A larger plot is used to collect tree data (> 12.7 centimeters diameter at breast height [dbh]), including status (live or dead), dbh, and species. The common stand exam protocol allows for some variation in methodology. For example, in the Storrie Fire, a prism was used to establish a variable radius larger plot. In the Rich Fire this larger plot had a fixed 16-m radius. Sampling conducted in both fires utilized a 5-m radius smaller circular plot where the number, species, dbh, height, and status of saplings (> 1.7 m tall) and seedlings (< 1.7 m tall) were recorded. A total of 249 field plots were established in areas that were lower montane mixed-conifer forest prior to the four initial fires; 118 of these reburned in the 2012 Chips Fire.

Plots were uniquely identified and attributed with specific location, fire history, measurement year, and reburn date data. Locations were measured with Trimble GeoXT 2008 GPS units. Reburn dates were derived from daily progression maps produced by Forest Service staff for the Chips Fire. Vegetation and ground cover data were then assessed by estimating percent cover for all trees, shrubs, and understory species (forb and graminoid) present in the plot. In the Storrie Fire, these data were collected within the 5-m radius plot, while in the Rich Fire these data were collected in the larger 16-m radius plot. Ground cover data were identified according to the following categories: rock, bare ground, woody debris, litter, basal vegetation, and other. In the Storrie Fire, ground cover was measured along a 6-m transect using a point intercept method, with points spaced at 6-cm intervals. In the Rich Fire, the percent cover of each ground surface category was visually estimated within the larger 16-m plot. Fuels data, including fine fuels, duff depths, and rotten and sound 1000-hour fuels, were collected using a planar intersect technique (Brown 1974). In the Storrie Fire, one 10.7-m transect was used per plot; in the Rich Fire, four 9-m transects were established at each plot.

Weather variables were obtained from three portable Remote Automated Weather Stations (RAWS) set up by USDA Forest Service personnel to collect weather data during the Chips Fire. Hourly measurements of temperature, relative humidity, and wind speed were collected during daytime hours (10 am to 5 pm). These are portable stations strategically located by fire fighting personnel to record fire weather during incidents. The three stations used during the Chips Fire were as follows:
1. PNF21 PORTABLE (040692): set up on Red Hill;
2. PNF22 PORTABLE (040971): set up at Gansner Bar; and
3. PNF24 PORTABLE (040992); set up near Lotts Lake (near the western boundary of the fire).

For more details on the methods, see the citations below.
Methodology_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: Unpublished material
Title:
Common stand exam field guide: Region 5
Geospatial_Data_Presentation_Form: document
Publication_Information:
Publication_Place: Washington, DC
Publisher: Natural Resource Information System
Other_Citation_Details:
2009 (see links below for updated version)
Online_Linkage: https://www.fs.fed.us/nrm/fsveg/
Online_Linkage: https://www.fs.fed.us/nrm/documents/fsveg/cse_user_guides/R5FG.pdf
Methodology_Citation:
Citation_Information:
Originator: Brown, James K.
Publication_Date: 1974
Title:
Handbook for inventorying downed woody material
Geospatial_Data_Presentation_Form: document
Series_Information:
Series_Name: Gen. Tech. Rep.
Issue_Identification: INT-16
Publication_Information:
Publication_Place: Ogden, UT
Publisher: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experiment Station
Other_Citation_Details:
24 p.
Online_Linkage: https://www.treesearch.fs.fed.us/pubs/28647
Methodology_Citation:
Citation_Information:
Originator: Coppoletta, Michelle
Originator: Merriam, Kyle E.
Originator: Collins, Brandon M.
Publication_Date: 2016
Title:
Post-fire vegetation and fuel development influences fire severity patterns in reburns
Geospatial_Data_Presentation_Form: journal article
Series_Information:
Series_Name: Ecological Applications
Issue_Identification: 26(3):686-699
Online_Linkage: https://doi.org/10.1890/15-0225
Methodology_Citation:
Citation_Information:
Originator: DiSiervo, Melissa
Originator: Jules, Erik S.
Originator: Safford, Hugh D.
Publication_Date: Unpublished material
Title:
Inventory and monitoring of the Rich Fire: Annual Progress Report 2012 Field Season
Geospatial_Data_Presentation_Form: document
Other_Citation_Details:
Included in full data publication download (\Supplements\DeSeirvo_etal_2013_AnnualReport 2011-2012.pdf).
Methodology_Citation:
Citation_Information:
Originator: USDA Forest Service
Publication_Date: Unpublished material
Title:
Storrie fire data collection protocol
Geospatial_Data_Presentation_Form: document
Other_Citation_Details:
Included in full data publication download (\Supplements\StorrieFire_DataCollectionProtocol.pdf).
Process_Step:
Process_Description:
No process steps have been described for this data set
Process_Date: Unknown
Back to Top
Entity_and_Attribute_Information:
Overview_Description:
Entity_and_Attribute_Overview:
\Data\Plot_Info.csv

This table contains basic attribute information for our 249 study plots, including:

Plot ID: Unique identifier for each study plot. Prefix letter indicates initial fire identity: S = Storrie, R = Rich.

UTME: UTM Easting (Projected Coordinate System: NAD 83, UTM Zone 10N; Geographic Coordinate System: GCS_North_American_1983).

UTMN: UTM Northing (Projected Coordinate System: NAD 83, UTM Zone 10N; Geographic Coordinate System: GCS_North_American_1983).

Measurement Year: The year that field data was collected for the plot.

Initial Fire Name: The name of the fire (Rich or Storrie) that burned the plot prior to 2012 (initial fire).

Time Since Initial Fire: The number of years between field data collection and the initial fire.

Chips Reburn Date: The date the plot was burned during the 2012 Chips Fire. Unburned plots (n=131) are recorded as “NA”.
Entity_and_Attribute_Detail_Citation:
Coppoletta et al. 2016
Overview_Description:
Entity_and_Attribute_Overview:
\Data\FireWeather_Data.csv
This table contains hourly weather data recorded by three portable Remote Automated Weather Stations (RAWs) set up by USDA Forest Service fire-fighting personnel during the 2012 Chips Fire. Attributes include the following:

Station ID: Identification numbers for the three portable RAWs stations used to record weather data during the 2012 Chips Fire.

StationLocation: Names of the locations where the three RAWs stations were established during the Chips Fire: Red Hill, Gansner Bar, and Lotts Lake (see \Supplements\Map_StudyArea.jpg).

ObsDate: The date the hourly weather measurement was taken (mm/dd/yyyy where mm=month, dd=day, and yyyy=year).

Time: The hour the weather measurement was taken (between 10:00 am and 5:00 pm).

Temp (F): Temperature measurement (degrees Fahrenheit).

RH (%): Relative humidity, expressed as the amount of water vapor present in the air as a percentage of the amount needed for saturation at the same temperature.

Wind Speed (mph): Wind speed measured as miles per hour.
Entity_and_Attribute_Detail_Citation:
Coppoletta et al. 2016
Overview_Description:
Entity_and_Attribute_Overview:
\Data\Tree_Data_Updated_102715.csv

Plot ID: Unique identifier for each study plot. Prefix letter indicates initial fire identity: S = Storrie, R = Rich.

TREE_ID: Unique identifier for each tree measured (n=2489).

TREE_STATUS: Condition of tree at time of measurement: L = live; D = dead; S = stump; X = down dead; and Y = down live.

Species_Code: Tree species code, defined as follows:

2TD = unknown tree
ABCO = white fir (Abies concolor),
ABIES= Unknown species of fir (Abies spp.)
ABMA= red fir (Abies magnifica)
ACER= unknown species of maple (Acer spp.)
ACGL= Rocky Mountain maple (Acer glabrum)
ACMA3= bigleaf maple (Acer macrophylum)
ALNUS= unknown species of alder (Alnus spp.)
CADE27 = incense-cedar (Calocedrus decurrens)
CORNUS= unknown species of dogwood (Cornus spp.)
LIDE3= tan oak (Notholithocarpus densiflorus)
PICO= lodgepole pine (Pinus contorta)
PIJE= Jeffrey pine (Pinus jeffreyi)
PILA = sugar pine (Pinus lambertiana)
PIMO3 = western white pine (Pinus monticola)
PINUS= unknown species of pine (Pinus spp.)
PIPO = ponderosa pine (Pinus ponderosa)
PSME= Douglas-fir (Pseudotsuga menziesii)
QUCH2= canyon live oak (Quercus chrysolepis)
QUKE= California black oak (Quercus kelloggii)
SALIX= unknown species of willow (Salix spp.)

SPECIES_Type: Hardwood or conifer.

DIAMETER: Diameter in inches measured at breast height (DBH). Diameter is not recorded for trees less than 4.5 feet tall.

TREE_HEIGHT: Height in feet.

TREE_COUNT: Number of trees in the plot that were the same species, status (dead or alive), DBH, and height; this value can be used to estimate trees per acre.
Entity_and_Attribute_Detail_Citation:
Coppoletta et al. 2016
Overview_Description:
Entity_and_Attribute_Overview:
\Data\Fuels_data.csv

This table contains fuels data collected in our 249 study plots. Data were collected according to methods developed by Brown (1974). Attributes include the following:

PLOT_ID: Unique identifier for each study plot. Prefix letter indicates initial fire identity; S = Storrie, R = Rich.

1HR_tonsperacre: Calculated tons per acre of one hour (0-0.25 inch diameter) fuels tallied from 20 to 26 feet (6 feet total) along a 35-foot transect.

10HR_tonsperacre: Calculated tons per acre of 10 hour fuels (0.25 -1 inch diameter) tallied from 20 to 30 feet (10 feet total) along a 35-foot transect.

100HR_tonsperacre Calculated tons per acre of 100 hour fuels (1-3 inch diameter) tallied from 20 to 30 feet (10 feet total) along a 35-foot transect.

1000HR_ROTTEN_tonsperacre: Calculated tons per acre of rotten 1000 hour fuels (> 3 inch diameter) tallied along entire transect (35ft).

1000HR_SOUND_tonsperacre: Calculated tons per acre of sound 1000 hour fuels (> 3 inch diameter) tallied along entire transect (35 feet).

Avg. Duff Depth (inches): Average duff depth per plot, measured in inches.
Entity_and_Attribute_Detail_Citation:
Coppoletta et al. 2016
Overview_Description:
Entity_and_Attribute_Overview:
\Data\Cover_data.csv
This table contains percent cover data, including overstory canopy, shrub, understory (herbaceous), and ground cover variables collected for all plots (n=249). All data were collected after the initial fires, but prior to the 2012 Chips Fire. Attributes include the following:

Plot ID: Unique identifier for each study plot. Prefix letter indicates initial fire identity: S = Storrie, R = Rich.

Tree cover (%): Percent canopy cover of all trees in the plot.

Shrub cover (%): Percent cover of all shrubs in the plot.

Understory cover (%): Percent cover of all understory species (grasses and forbs) in the plot.

Bare ground cover (%): Percent cover of bare soil, not covered by rock, cryptogams or organic material.

Basal vegetation cover (%): Percent cover of all basal vegetation cover in plot; not differentiated by lifeform.

Rock cover (%): Percent cover of rock, gravel, cobble, stones, boulders, and exposed bedrock.

Litter cover (%): Percent cover of leaf and needle litter, and duff not yet incorporated into the decomposed top humus layer.

Wood cover (%): Percent cover of woody material, small and large woody debris, regardless of depth.
Entity_and_Attribute_Detail_Citation:
Coppoletta et al. 2016
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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-2015-0039
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-2015-0039
Fees: None
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Metadata_Reference_Information:
Metadata_Date: 20161215
Metadata_Contact:
Contact_Information:
Contact_Person_Primary:
Contact_Person: Michelle Coppoletta
Contact_Organization: USDA Forest Service, Plumas National Forest
Contact_Address:
Address_Type: mailing and physical
Address: 159 Lawrence Street
City: Quincy
State_or_Province: CA
Postal_Code: 95971
Country: USA
Contact_Voice_Telephone: 530-283-7822
Contact_Electronic_Mail_Address: mcoppoletta@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
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