Field plot measurements from the 2017-2020 FASMEE Rx fires
Metadata:
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Identification_Information:
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Citation:
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Citation_Information:
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Originator: Eagle, Paige C.
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Originator: Cronan, James B.
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Originator: McCarley, T. Ryan
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Originator: Bright, Benjamin C.
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Originator: Hudak, Andrew T.
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Publication_Date: 2024
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Title:
Field plot measurements from the 2017-2020 FASMEE Rx fires- Geospatial_Data_Presentation_Form: tabular digital data
- Publication_Information:
- Publication_Place: Fort Collins, CO
- Publisher: Forest Service Research Data Archive
- Other_Citation_Details:
- Updated 04 November 2024
- Online_Linkage: https://doi.org/10.2737/RDS-2024-0049
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Description:
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Abstract:
- This is a database of fuels (i.e., vegetation) characteristics measured before (pre-fire) and after (post-fire) a series of prescribed fires, from 2017 to 2020, on the Richfield Ranger District of the Fishlake National Forest in central Utah. A total of five prescribed burns were conducted during this period. These were stand-replacing burns in forests dominated by subalpine fir. Their purpose was to remove the coniferous overstory and promote regeneration of quaking aspen. The Blackline burns were implemented to mitigate fuels adjacent to, and in the likely downwind direction from, the Manning Creek prescribed burn unit, to reduce the chance of an escape. Burn units were generally on the order of 50-500 hectares and ignited with a heli-torch. Pre- and post-fire estimates of biomass for aboveground fuels were collected for each stratum to characterize.
Data include measurements taken pre- and post-fire (October 2016 - July 2021). The total number of plots per prescribed burn were as follows: fall 2017 (n = 6), fall 2018 (n = 10), spring 2019 (n = 40), fall 2019 (n = 25), and fall 2020 (n = 60). This package includes fuel data for each fuel stratum including: downed woody debris, standing vegetation, and overstory. Surface fuel data presented in two forms: 1) raw field data and 2) estimated biomass derived from the field data. Overstory data includes: diameter, tree status, height and canopy characteristics. Fuel moisture data (only in 2018, 2019, and 2021) includes: slow drying fuels (collected 1-2 days prior to the burns within the burn unit) and quick drying fuels (collected during the burn at a proxy location outside of the burn unit).
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Purpose:
- The Fire and Smoke Model Evaluation Experiment (FASMEE) is a nationwide, multi-agency effort that is advancing fire and smoke science and modeling capabilities. Information from this effort will help land managers in several ways that include: 1) increasing the use of managed fire, 2) improving firefighting strategies, 3) enhancing smoke forecasts, and 4) better assessments of carbon stores and fire-climate interactions.
FASMEE provides unparalleled opportunities to brin thanks excavation point g together new technology and the next generation of fire researchers in the largest coordinated fire research project to date. The fuels information contained in this data publication provides pre-and post-fire characterization of representative fuel beds within each burn unit and estimates of biomass consumption. These data were utilized by participating research groups to develop or evaluate models including fuel consumption, fire behavior, fuels mapping, emissions, and smoke dispersion.
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Supplemental_Information:
- For more information about this study and these data, see McCarley et al. (2024).
These data were published on 08/20/2024. On 11/04/2024, we discovered that two data files had a few incorrect plot numbers and a few data entries were duplicated. These corrections have been made and the Process Steps below provides specific details.
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Time_Period_of_Content:
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Time_Period_Information:
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Range_of_Dates/Times:
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Beginning_Date: 201610
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Ending_Date: 202107
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Currentness_Reference:
- Ground condition
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Status:
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Progress: Complete
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Maintenance_and_Update_Frequency: None planned
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Spatial_Domain:
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Description_of_Geographic_Extent:
- Data were collected on the Monroe Mountain unit of the Fishlake National Forest in central Utah.
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Bounding_Coordinates:
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West_Bounding_Coordinate: -112.18
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East_Bounding_Coordinate: -111.89
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North_Bounding_Coordinate: 38.70
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South_Bounding_Coordinate: 38.38
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Bounding_Altitudes:
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Altitude_Minimum: 2290
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Altitude_Maximum: 2290
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Altitude_Distance_Units: meters
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Keywords:
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Theme:
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Theme_Keyword_Thesaurus: ISO 19115 Topic Category
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Theme_Keyword: biota
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Theme_Keyword: environment
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Theme:
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Theme_Keyword_Thesaurus: National Research & Development Taxonomy
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Theme_Keyword: Ecology, Ecosystems, & Environment
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Theme_Keyword: Landscape ecology
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Theme_Keyword: Fire
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Theme_Keyword: Prescribed fire
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Theme:
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Theme_Keyword_Thesaurus: None
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Theme_Keyword: fuels
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Theme_Keyword: fuel models
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Theme_Keyword: smoke models
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Theme_Keyword: aboveground biomass
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Theme_Keyword: subalpine forest
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Theme_Keyword: Abies lasiocarpa
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Theme_Keyword: Populus tremuloides
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Theme_Keyword: consumption
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Theme_Keyword: ground truth data
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Theme_Keyword: Joint Fire Science Program
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Theme_Keyword: JFSP
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Place:
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Place_Keyword_Thesaurus: None
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Place_Keyword: Utah
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Place_Keyword: Fishlake National Forest
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Access_Constraints: None
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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:
Eagle, Paige C.; Cronan, James B.; McCarley, T. Ryan; Bright, Benjamin C.; Hudak, Andrew T. 2024. Field plot measurements from the 2017-2020 FASMEE Rx fires. Fort Collins, CO: Forest Service Research Data Archive. Updated 04 November 2024. https://doi.org/10.2737/RDS-2024-0049
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Point_of_Contact:
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Contact_Information:
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Contact_Organization_Primary:
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Contact_Organization: USDA Forest Service, Pacific Northwest Research Station
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Contact_Person: Jim Cronan
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Contact_Position: Forester
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Contact_Address:
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Address_Type: mailing and physical
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Address: 400 N 24th Street, Suite 201
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City: Seattle
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State_or_Province: WA
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Postal_Code: 98103
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Country: USA
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Contact_Voice_Telephone: 206-462-8240
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Contact_Electronic_Mail_Address:
james.cronan@usda.gov
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Contact Instructions: This contact information was current as of original publication date. For current information see Contact Us page on: https://doi.org/10.2737/RDS.
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Data_Set_Credit:
- Funding for this project provided by the Joint Fire Science Program (JFSP; Title: Fire and Smoke Model Evaluation Experiment - Phase 2; Project ID: 15-S-01-01): https://www.firescience.gov; USDA Forest Service, Pacific Northwest Research Station; and USDA Forest Service, Rocky Mountain Research Station.
Author Information:
Paige C. Eagle
University of Washington, School of Environmental and Forest Sciences
https://orcid.org/0009-0003-2894-0037
James B. Cronan
USDA Forest Service, Pacific Northwest Research Station
https://orcid.org/0000-0002-0366-1686
T. Ryan McCarley
University of Idaho
https://orcid.org/0000-0002-4617-2866
Benjamin C. Bright
USDA Forest Service, Rocky Mountain Research Station
https://orcid.org/0000-0002-8363-0803
Andrew T. Hudak
USDA Forest Service, Rocky Mountain Research Station
https://orcid.org/0000-0001-7480-1458
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Cross_Reference:
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Citation_Information:
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Originator: McCarley, T. Ryan
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Originator: Hudak, Andrew T.
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Originator: Bright, Benjamin C.
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Originator: Cronan, James B.
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Originator: Eagle, Paige C.
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Originator: Ottmar, Roger D.
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Originator: Watts, Adam C.
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Publication_Date: 2024
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Title:
Generating fuel consumption maps on prescribed fire experiments from airborne laser scanning- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: International Journal of Wildland Fire
- Issue_Identification: 33: WF23160
- Online_Linkage: https://doi.org/10.1071/wf23160
- Online_Linkage: https://research.fs.usda.gov/treesearch/68073
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Cross_Reference:
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Citation_Information:
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Originator: Lareau, Neil P.
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Originator: Clements, Craig B.
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Originator: Kochanski, Adam
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Originator: Aydell, Taylor
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Originator: Hudak, Andrew T.
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Originator: McCarley, T. Ryan
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Originator: Ottmar, Roger
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Publication_Date: 2024
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Title:
Observations of a rotating pyroconvective plume- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: International Journal of Wildland Fire
- Issue_Identification: 33: WF23045
- Online_Linkage: https://doi.org/10.1071/WF23045
- Online_Linkage: https://research.fs.usda.gov/treesearch/68072
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Cross_Reference:
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Citation_Information:
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Originator: Kobziar, Leda N.
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Originator: Lampman, Phinehas
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Originator: Tohidi, Ali
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Originator: Kochanski, Adam K.
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Originator: Cervantes, Antonio
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Originator: Hudak, Andrew T.
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Originator: McCarley, Ryan
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Originator: Gullett, Brian
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Originator: Aurell, Johanna
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Originator: Moore, Rachel
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Originator: Vuono, David C.
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Originator: Christner, Brent C.
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Originator: Watts, Adam C.
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Originator: Cronan, James
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Originator: Ottmar, Roger
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Publication_Date: 2024
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Title:
Bacterial emission factors: A foundation for the terrestrial-atmospheric modeling of bacteria aerosolized by wildland fires- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: Environmental Science and Technology
- Issue_Identification: 58(5): 2413-2422
- Online_Linkage: https://doi.org/10.1021/acs.est.3c05142
- Online_Linkage: https://research.fs.usda.gov/treesearch/67368
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Data_Quality_Information:
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Attribute_Accuracy:
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Attribute_Accuracy_Report:
- Field data are recorded on paper data sheets and stored in a MySQL database. An initial quality assurance/quality control (QA/QC) review of paper data sheets occurs on the same day data are recorded. This review is performed by a field supervisor to ensure completeness and consistency of recorded data. After data have been manually entered, a second QA/QC review is conducted by comparing 100% of entered values with values on paper data sheets. These reviews must be conducted by staff who did not enter data that are being reviewed.
Instrument/measurement precision is as follows:
Forest floor depth: 1 millimeter (mm)
1000-hour downed woody debris diameter: 0.1 inch (in)
Tree diameter: 0.1 in
Tree height: 0.1 foot (ft)
Dry biomass: 0.01 gram (g)
Wet biomass: 0.1 g
The data files contain measurements provided as calculated or recorded in the field, however the actual assumed precision of all data is provided in \Data\_variable_descriptions.csv.
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Logical_Consistency_Report:
- Data entry interface enforced data quality during data entry.
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Completeness_Report:
- Missing data are recorded as blank cells, unless otherwise noted. For the most part, missing data are minimal, with the exception that in some cases sampling dates were not available. Specific reasons for missing data, in some cases, was recorded on field data sheets, and authors can be contacted if those specifics are needed.
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Lineage:
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Methodology:
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Methodology_Type: Field
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Methodology_Description:
- OVERVIEW
Aboveground fuel loading and associated consumption were measured by installing pre-fire plots at each unit, collecting day-of-burn fuel moisture data, and measuring post-fire fuels. We used two methods to assess loading and consumption of aboveground fuels: direct and indirect sampling. Direct sampling through destructive collection (clip plots) was used to measure loading of herbs, low shrubs and seedlings (shrub or seedling height < 1.37 meters [m] or 4.5 feet [ft]), layered conifer branches, pine cones, and downed woody debris less than 7.62 centimeters (cm) (3 inches [in]) in diameter. Indirect sampling was used to assess loading of the forest floor (duff and litter), downed coarse woody debris (≥ 7.62 cm or 3 in diameter), tall shrubs and saplings (height ≥ 1.37 m or 4.5 ft) and trees. In these instances, fuel characteristics were measured that could be used to estimate fuel loading through allometric equations or as the volume inputs in volume x density equations.
Pre-fire data were collected within one month of the prescribed burn. If burns were postponed until the following year (i.e., Annabella Reservoir), then forest floor pins were reset and re-measured, and the site conditions were surveyed to ensure that there were no significant changes in other fuel strata. Fuel moisture samples were collected from the same fuel strata that were measured in pre-fire plots just prior to, and in some cases throughout the duration of the prescribed burn. We attempted to collect post-fire data within a few weeks of the burn event to minimize changes in fuels due to rainfall, snow fall, blowdown, or re-growth. However, we were unable to return to most sites within this time frame due to safety (hazard trees) or weather (snowfall). In instances when post-fire sampling was delayed, we disregarded post-fire vegetation growth when sampling and noted newly fallen woody debris.
DATA COLLECTION SUMMARY
Plots (approximately 15/100 hectares [ha]) were spaced 40 m apart and systematically arranged within forest stands that were representative of vegetation within the unit. The number of plots was determined by resources available for sampling. Plots for the 2017 and 2018 burns were established in stands dominated by subalpine fir with a secondary component of quaking aspen. For the spring 2019 burn, 20 plots were located in a stand of nearly pure subalpine fir and 20 plots were located in a stand where the dominant overstory species was quaking aspen and there was an understory of subalpine fir. For the fall 2019 burn, 20 plots were located in a stand where subalpine fir and quaking aspen were co-dominant and five plots were located in a stand dominated by quaking aspen with an understory of subalpine fir. For the fall 2020 burn, 20 plots were located in a stand of nearly pure quaking aspen, 20 plots were located in a stand where subalpine fir and quaking aspen were co-dominant, and 20 plots were located in a stand comprised of a mix of subalpine fir, quaking aspen, and dead Engelmann spruce; the last set of plots did not burn in fall 2020 and hence there is no post-fire data.
Surface fuel data were collected for each fuels stratum. These include: forest floor, downed woody debris, and standing vegetation. Forest floor includes litter and duff material. Biomass was determined by measuring the depth of each forest floor strata and taking the product of the depth and known bulk density values. Large-diameter (≥ 7.62 cm or 3 in diameter) woody debris biomass was determined by measuring each time-lag class along a Brown’s transect (Brown et al. 1982). Small-diameter (< 7.62 cm or 3 in diameter) woody debris and standing vegetation biomass was measured directly from nested 1 m² destructive plots. Standing vegetation includes herbs, shrubs, trees less than 1.37 m tall, and layered subalpine fir branches. Post-fire measurements at each plot were accomplished by revisiting pins placed prior to the burns at each forest floor depth sampling location to track the reduction in forest floor depth, re-measuring Brown’s transects, and sampling biomass of small-diameter woody debris and standing vegetation from a paired post-fire plot.
Overstory data were measured in fixed-radius nested plots. All trees greater than 12 cm were inventoried in 8-m plots. Measurements included diameter and status (i.e., live or dead). Additionally, height and canopy characteristics were measured for the tallest and smallest trees in the plot. Trees less than 12 cm in diameter but greater than 1.37 m tall were measured in 5.6-m radius plots. The status (live, dead, or unhealthy) of each tree was noted during a post-fire inventory.
Fuel moisture values were not collected for the burns conducted in 2017 and 2018. For all other burns, fuel moisture samples were collected. Slow drying fuels (duff and 1000-hour fuel) were collected 1-2 days prior to the burn amongst each set of plots. Quick drying fuels (herbs, conifer foliage, litter, and 1-hour, 10-hour, and 100-hour fuels) were collected during the burn at a proxy location outside of the burn unit. Multiple sets of quick drying fuels samples were collected throughout the day of the burn to track how moisture changed over time.
For complete methods, see \Supplements\Fishlake_Methods.pdf and McCarley et al. (2024).
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Methodology_Citation:
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Citation_Information:
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Originator: Brown, James K.
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Originator: Oberheu, Rick D.
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Originator: Johnston, Cameron M.
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Publication_Date: 1982
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Title:
Handbook for inventorying surface fuels and biomass in the Interior West- Geospatial_Data_Presentation_Form: document
- Series_Information:
- Series_Name: General Technical Report
- Issue_Identification: INT-GTR-129
- Publication_Information:
- Publication_Place: Ogden, UT
- Publisher: U.S. Department of Agriculture, Forest Service, Intermountain Forest and Range Experimental Station
- Other_Citation_Details:
- 48 p.
- Online_Linkage: https://research.fs.usda.gov/treesearch/29401
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Methodology_Citation:
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Citation_Information:
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Originator: McCarley, T. Ryan
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Originator: Hudak, Andrew T.
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Originator: Bright, Benjamin C.
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Originator: Cronan, James B.
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Originator: Eagle, Paige C.
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Originator: Ottmar, Roger D.
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Originator: Watts, Adam C.
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Publication_Date: 2024
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Title:
Generating fuel consumption maps on prescribed fire experiments from airborne laser scanning- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: International Journal of Wildland Fire
- Issue_Identification: 33: WF23160
- Online_Linkage: https://doi.org/10.1071/wf23160
- Online_Linkage: https://research.fs.usda.gov/treesearch/68073
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Source_Information:
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Source_Citation:
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Citation_Information:
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Originator: Miles, Patrick D.
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Originator: Smith, W. Brad
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Publication_Date: 2009
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Title:
Specific gravity and other properties of wood and bark for 156 tree species found in North America- Geospatial_Data_Presentation_Form: journal article
- Series_Information:
- Series_Name: Research Note
- Issue_Identification: NRS-38
- Publication_Information:
- Publication_Place: Newtown Square, PA
- Publisher: U.S. Department of Agriculture, Forest Service, Northern Research Station
- Other_Citation_Details:
- 35 p.
- Online_Linkage: https://doi.org/10.2737/NRS-RN-38
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Type_of_Source_Media: Online
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Source_Time_Period_of_Content:
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Time_Period_Information:
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Range_of_Dates/Times:
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Beginning_Date: 2016
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Ending_Date: 2021
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Source_Currentness_Reference:
- Publication Date
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Source_Citation_Abbreviation:
- Miles and Smith (2009)
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Source_Contribution:
- Specific gravity values for Abies lasiocarpa, Picea engelmannii var. engelmannii, Populus tremuloides, and unknown species were obtained from Miles and Smith (2009).
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Process_Step:
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Process_Description:
- In addition to raw data, some of the data included in this package are summaries or processed data. Specific manipulations are detailed in \Data\_variable_descriptions.csv. Below we list the files that contain processed output and a short description of what was done.
\Data\FASMEE-MonroeMountain-Ground_clipplots.csv: Consumed (post - pre) weights were calculated and loadings per acre were converted to tons/acre.
\Data\FASMEE-MonroeMountain-Ground_dw_loadings_consumption.csv: Calculated loading results were summarized at the plot level for each unit using Brown’s planar intercept method (Brown 1974).
\Data\FASMEE-MonroeMountain-Ground_ff_depths_loadings_consumption.csv: Summary statistics (means and standard deviations) were calculated, consumed (post - pre) depths were calculated, and loadings per acre of litter and duff were calculated using bulk density (tons/acre/inch) estimates.
\Data\FASMEE-MonroeMountain-Ground_fuelmoistures_summaries.csv: Summary statistics for day-of-burn fuel moistures were calculated.
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Process_Date: 2024
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Process_Step:
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Process_Description:
- DATA UPDATES
We discovered that some of the plot numbers in our originally published data were incorrect and a few accidentally duplicated entries were corrected.
Specific changes to \Data\FASMEE-MonroeMountain-Ground_plots_overview.csv include:
1. Plot numbers for unitName = "Blackline 2018", instrument = "Javad Triumph 2", and accuracy = "1-2m" were changed from 91-100 to 101-110.
2. Plot numbers for unitName = "Langdon A", instrument = "Javad Triumph 2", and accuracy = "1-2m" were changed from 183-202 to 801-820.
3. 46 rows of data were removed from the originally published file. There were cases where there were two longitude/latitudes given (one with Garmin 54s and one with a Javad Triumph 2). The less-precise Garmin 54s longitude/latitudes were dropped. There were 4 plots (Manning Creek A 204-208) that didn't have a Javad mmt/only had Garmin measurement so they were the exception to the rule.
Specific changes to \Data\FASMEE-MonroeMountain-Ground_saplingcounts.csv include:
1. Eighteen rows of data were removed for unitName = "Blackline 2018", epShort = "PRE", form = "sapling", plotNo = 462 to 470. These data were accidentally duplicated and given the wrong plot number, so these rows were just deleted. (Actual data were already entered as plot numbers 101-109.)
2. The row of data for unitName = "Manning Creek A", epShort = "PRE", form = "sapling", and plotNo = 478 was also deleted. This was another misentered record that was subsequently correctly entered.
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Process_Date: 20241104
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Entity_and_Attribute_Information:
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Overview_Description:
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Entity_and_Attribute_Overview:
- Below you will find a list and description of the files included in this data publication.
VARIABLE DESCRIPTION FILE (1)
1. \Data\_variable_descriptions.csv: Comma-separated values (CSV) file containing a list and description of variables found in all data files. (A description of these variables is also provided in the metadata below.)
Columns include:
Filename = Name of data file
Variable = Name of variable
Units = Units (if applicable)
Precision = Precision (if applicable)
Description = Description of variable
DATA FILES (17)
1. \Data\FASMEE-MonroeMountain-Ground_clipplots.csv: CSV file containing pre-fire, post-fire, and consumed (post - pre) weights and loadings/acre (weight/area sampled converted to tons/acre) of clipped vegetation by category.
Variables include:
unitName = Survey unit name
plotNo = Survey plot number for given unit
clipPlotMat = Clip plot material (a composite of category/subcategory/vegetation_material/plantPart/live_dead)
pre_netWt_g = Net weight of clip plot material collected pre-fire (grams)
post_netWt_g = Net weight of clip plot material collected post-fire (grams)
con_netWt_g = Net weight of clip plot material consumed by fire (grams)
clipPlotSize_m2 = Area of clip plot square used in sampling (square meters)
pre_loading_ta = Pre-fire loading of given clip plot material (tons/acre)
post_loading_ta = Post-fire loading of given clip plot material (tons/acre)
con_loading_ta = Loading of given clip plot material consumed by fire (tons/acre)
2. \Data\FASMEE-MonroeMountain-Ground_dw_cwd_raw.csv: CSV file containing diameter, species, and decay class for coarse woody debris (logs) per unit/plot/transect per sampling visit (pre- and post-fire).
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE = pre-fire, POST = post-fire)
plotNo = Survey plot number for given unit
transectNo = Survey transect number for given plot (1-3)
speciesCode = Log species code used in the field
scientificName = Log species scientific name
logDiameter = Log diameter (inches)
decayClass = Log decay class (scale of 1 to 5 from sound to rotten)
3. \Data\FASMEE-MonroeMountain-Ground_dw_cwd_specificgravities.csv: CSV file containing specific gravity values per species (per Miles and Smith 2009) used in Brown’s transect (Brown et al. 1982) loading calculations.
Variables include:
scientificName = Species scientific name
speciesCode = Species code used in the field (given in FASMEE-MonroeMountain-Ground_dw_cwd_raw.csv)
specificGravitySound = Specific gravity used in loadings calculations (from Miles and Smith 2009) (unitless)
4. \Data\FASMEE-MonroeMountain-Ground_dw_fwd_raw.csv: CSV file containing tallies of fine woody debris by size class per unit/plot/transect per sampling visit (pre- and post-fire).
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE = pre-fire, POST = post-fire)
plotNo = Survey plot number for given unit
transectNo = Survey transect number for given plot (1-3)
tally_1hr = Number of 1-hour sticks (diameter < 0.25 inches) found along given transect (count)
tally_10hr = Number of 10-hour sticks (diameter 0.25 - 1 inch) found along given transect (count)
tally_100hr = Number of 100-hour sticks (diameter 1 - 3 inches) found along given transect (count)
5. \Data\FASMEE-MonroeMountain-Ground_dw_loadings_consumption: CSV file containing calculated loading results summarized at the plot level for each unit using Brown’s planar intercept method (Brown 1974).
Variables include:
unitName = Survey unit name
plotNo = Survey plot number for given unit
NumTransects = Total transects per given plot
PieceSizeClass = Diameter range of downed woody debris (text description) (inches)
Condition = Woody debris decay status: sound or rotten
Pre_NumPieces = Number of pieces for given size class pre-fire (count)
Pre_MeanQMD_in = Average Quadratic mean diameter of woody debris for given size class pre-fire (inches)
Pre_MeanLoading_ta = Mean loading of woody debris for given size class pre-fire (tons/acre)
Pre_SDLoading_ta = Standard deviation of loading of woody debris for given size class pre-fire (tons/acre)
Pre_PiecesPerAc = Estimated pieces/acre of woody debris for given size class pre-fire (pieces/acre)
Post_NumPieces = Number of pieces for given size class post-fire (count)
Post_MeanQMD_in = Average Quadratic mean diameter of woody debris for given size class post-fire (inches)
Post_MeanLoading_ta = Mean loading of woody debris for given size class post-fire (tons/acre)
Post_SDLoading_ta = Standard deviation of loading of woody debris for given size class post-fire (tons/acre)
Post_PiecesPerAc = Estimated pieces/acre of woody debris for given size class post-fire (pieces/acre)
ConsumedLoading_ta = Mean loading of woody debris for given size class consumed in the fire (tons/acre)
6. \Data\FASMEE-MonroeMountain-Ground_dw_samplingparams.csv: CSV file containing sampling parameters per downed woody transect needed to calculate loading/acre.
Variables include:
unitName = Survey unit name
transectLength_1hr = Length of the transect used to to survey 1-hr woody debris (diameter < 0.25 inches) (feet)
transectLength_10hr = Length of the transect used to to survey 10-hr woody debris (diameter 0.25 - 1 inch) (feet)
transectLength_100hr = Length of the transect used to to survey 100-hr woody debris (diameter 1 - 3 inches) (feet)
transectLength_GT1000hr = Length of the transect used to to survey 1000-hr woody debris (diameter > 3 inches) (feet)
slash_nonslash = Was woody debris slash? (1 = yes, 0 = no)
7. \Data\FASMEE-MonroeMountain-Ground_ff_depths_loadings_consumption.csv: CSV file containing summary statistics (means and standard deviations) for pre-fire, post-fire, and consumed (post - pre) depths (from raw pins, or points in the case of Blackline 2017 data) and loadings/acre (calculated using bulk density [tons/acre/inch] estimates by forest floor material type) of litter and duff.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE-POST = both pre- and post-fire, PRE = pre-fire). Specified here to make it explicit that Annabella B was never burned, so only "pre-fire" surface material values are given for this unit.
plotNo = Survey plot number for given unit
FFLayer = Forest floor layer (Duff or SM = surface material)
FFMatType = Forest floor layer material type code (vegetation codes given in \Data\FASMEE-MonroeMountain-Ground_ff_ffmaterialtypes.csv)
NumPins = Number of 'duff pins' for given FFLayer/FFMatType (count)
PreDepth_in_mean = Mean pre-fire depth of given FFLayer/FFMatType (inches)
PreDepth_in_sd = Standard deviation of pre-fire depth of given FFLayer/FFMatType (inches)
ConsumedDepth_in_mean = Mean consumed depth of given FFLayer/FFMatType (inches)
ConsumedDepth_in_sd = Standard deviation of consumed depth of given FFLayer/FFMatType (inches)
PostDepth_in_mean = Mean post-fire depth of given FFLayer/FFMatType (inches)
PostDepth_in_sd = Standard deviation of post-fire depth of given FFLayer/FFMatType (inches)
BulkDensity_tai = Estimated bulk density for given FFLayer/FFMatType (used to calculate loading from depths) (tons/acre/inch)
PreLoading_ta_mean = Mean pre-fire loading of given FFLayer/FFMatType (estimated by multiplying pre-fire depth by bulk density) (tons/acre)
PreLoading_ta_sd = Standard deviation of pre-fire loading of given FFLayer/FFMatType (tons/acre)
ConsumedLoading_ta_mean = Mean consumed loading of given FFLayer/FFMatType (estimated by multiplying consumed depth by bulk density) (tons/acre)
ConsumedLoading_ta_sd = Standard deviation of consumed loading of given FFLayer/FFMatType (tons/acre)
PostLoading_ta_mean = Mean post-fire loading of given FFLayer/FFMatType (estimated by multiplying post-fire depth by bulk density) (tons/acre)
PostLoading_ta_sd = Standard deviation of post-fire loading of given FFLayer/FFMatType (tons/acre)
Consumption% = Percent consumption of given FFLayer/FFMatType ([consumed depth/pre-fire depth]*100) (percentage)
8. \Data\FASMEE-MonroeMountain-Ground_ff_ffmaterialtypes.csv: CSV file containing definitions for forest floor material type codes (FFMatType, SMType, DuffType). Associated bulk density estimates used in loading calculations are given in \Data\FASMEE-MonroeMountain-Ground_ff_depths_loadings_consumption.csv.
Variables include:
FFMatType = Forest floor material type code
ffMaterial = Forest floor material type definition
9. \Data\FASMEE-MonroeMountain-Ground_ff_pins_raw.csv: CSV file containing raw depths pre- and post-fire of surface material/duff using duff pins methodology.
Variables include:
unitName = Survey unit name
plotNo = Survey plot number for given unit
pinNo = Duff pin number for given plot
pinStatus = Pin status (IP = irregular pin, NP = no pin, OK, PF = pin fallen, PS = pin in soil)
pinToSurface_mm = Length from pin top to top of surface material pre-fire (millimeters)
pinToSurface_in = pinToSurface_mm coverted to inches (inches)
SMType = Surface material type code (see \Data\FASMEE-MonroeMountain-Ground_ff_ffmaterialtypes.csv)
SMDepth_mm = Length from pin top to bottom of surface material for given pin (millimeters)
SMDepth_in = SMDepth_mm converted to inches (inches)
pinToRemaining_mm = Length from pin top to surface post-fire (millimeters)
pinToRemaining_in = pinToRemaining_mm converted to inches (inches)
pinToSoil_mm = Length from pin top to mineral soil (post-fire) (millimeters)
pinToSoil_in = pinToSoil_mm converted to inches (inches)
SM_PreDepth_mm = Pre-fire depth of surface material for given pin (millimeters)
SM_PreDepth_in = SM_PreDepth_mm converted to inches (inches)
SM_ConsumedDepth_mm = Consumed depth of surface material for given pin (millimeters)
SM_ConsumedDepth_in = SM_ConsumedDepth_mm converted to inches (inches)
SM_PostDepth_mm = Post-fire depth of surface material for given pin (millimeters)
SM_PostDepth_in = SM_PostDepth_mm converted to inches (inches)
DuffType = Duff type code (see \Data\FASMEE-MonroeMountain-Ground_ff_ffmaterialtypes.csv)
Duff_PreDepth_mm = Pre-fire depth of duff for given pin (millimeters)
Duff_PreDepth_in = Duff_PreDepth_mm converted to inches (inches)
Duff_ConsumedDepth_mm = Consumed depth of duff for given pin (millimeters)
Duff_ConsumedDepth_in = Duff_ConsumedDepth_mm converted to inches (inches)
Duff_PostDepth_mm = Post-fire depth of duff for given pin (millimeters)
Duff_PostDepth_in = Duff_PostDepth_mm converted to inches (inches)
10. \Data\FASMEE-MonroeMountain-Ground_ff_points_Blackline2017_raw.csv: CSV file containing raw depths pre- and post-fire of surface material/duff taken at points along a transect.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE = pre-fire, POST = post-fire)
plotNo = Survey plot number for given unit
point = Sampling point number within survey plot
FFLayer = Forest floor layer (Duff or SM = surface material SM)
FFMatType = Forest floor layer material type code (vegetation codes given in \Data\FASMEE-MonroeMountain-Ground_ff_ffmaterialtypes.csv)
Depth_mm = Depth of given layer for given sampling episode (millimeters)
11. \Data\FASMEE-MonroeMountain-Ground_fuelmoistures_raw.csv: CSV file containing day-of-burn wet/dry weights for all samples of clipped vegetation by unit by category.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (DAY-OF = day of burn)
SampleMaterial = Sample material (Downed Woody: ####-hr, Duff, Litter, Trees: Conifer, Trees: Conifer - branches)
sampleNo = Sample number
grossWetWt_g = Total "wet" (as collected) weight of given sample, including container (grams)
wetContWt_g = Weight of sample container (i.e., tare weight) (grams)
grossDryWt_g = Total oven-dried weight of given sample, including container (grams)
dryContWt_g = Weight of sample container (i.e., tare weight) (grams)
notes = Important notes regarding the sample
12. \Data\FASMEE-MonroeMountain-Ground_fuelmoistures_summaries.csv: CSV file containing summary statistics for day-of-burn fuel moistures of clipped vegetation by unit by category.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (DAY-OF = day of burn)
SampleMaterial = Sample material
N = Sample size
mean_FM% = Mean percent fuel moisture (percentage)
sd_FM% = Standard deviation percent fuel moisture (percentage)
se_FM% = Standard error percent fuel moisture (percentage)
CI_Low = Low value for confidence interval of fuel moisture (percentage)
CI_High = High value for confidence interval of fuel moisture (percentage)
13. \Data\FASMEE-MonroeMountain-Ground_plots_overview.csv: CSV file containing plot coordinates for each unit.
Variables include:
unitName = Survey unit name
plotNo = Plot number for given unit
instrument = GPS make/model
accuracy = Margin of error (1-2m = 1 to 2 meters, 1-3m = 1 to 3 meters, 10-15m = 10 to 15 meters)
lat = Latitude for given plot (decimal degrees)
lon = Longitude for given plot (decimal degrees)
14. \Data\FASMEE-MonroeMountain-Ground_saplingcounts.csv: CSV file containing sapling counts by species and live/dead status pre- and post-fire.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE/POST)
plotNo = Plot number for given unit
form = Vegetation form (sapling or tall shrub)
scientificName = Species scientific name
status = Live (L)/dead (D) status
tally = Stem count for given plot (count)
15. \Data\FASMEE-MonroeMountain-Ground_species.csv: CSV file containing a list of the woody species encountered in this project.
Variables include:
scientificName = Species scientific name
stratum = Trees or saplings
16. \Data\FASMEE-MonroeMountain-Ground_trees.csv: CSV file of tree data (height, diameter at breast height, status, etc.) by species.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE/POST)
plotNo = Plot number for given unit
treeTagNo = Tree tag number
statusPRE = Pre-fire status (Live, Dead, Healthy, Unhealthy)
scientificName = Tree species scientific name
dbh_in = Tree diameter at breast height (inches)
ht_ft = Tree height (feet)
htlc_ft = Tree height to live crown (feet)
cbh_ft = Tree crown base height (feet)
statusPOST = Post-fire status (Dead or blank which means status unchanged from pre-fire status)
17. \Data\FASMEE-MonroeMountain-Ground_unitsplots_overview.csv: CSV file containing information on the Monroe Mountain units in the Fishlake National Forest, Utah, including sampling dates and number of plots per unit.
Variables include:
unitName = Survey unit name
epShort = Sampling episode (PRE = pre-fire, DAY-OF = day of fire, POST = post-fire)
samplingStartDate = Sampling start date (MM/DD/YYYY)
samplingEndDate = Sampling end date (MM/DD/YYYY)
numPlots = Number of plots sampled in given unit (count)
SUPPLEMENTAL FILES (1)
1. \Supplements\Fishlake_Methods.pdf: Portable Document Format file containing detailed methods for the field plot measurements from the 2017-2020 FASMEE Rx fires.
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Entity_and_Attribute_Detail_Citation:
- 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. https://research.fs.usda.gov/treesearch/28647
McCarley, T. Ryan; Hudak, Andrew T.; Bright, Benjamin C.; Cronan, James B.; Eagle, Paige C.; Ottmar, Roger D.; Watts, Adam C. 2024. Generating fuel consumption maps on prescribed fire experiments from airborne laser scanning. International Journal of Wildland Fire. 33: WF23160. https://doi.org/10.1071/wf23160 and https://research.fs.usda.gov/treesearch/68073
Miles, Patrick D.; Smith, W. Brad. 2009. Specific gravity and other properties of wood and bark for 156 tree species found in North America. Res. Note NRS-38. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. 35 p. https://doi.org/10.2737/NRS-RN-38
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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.
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Contact_Electronic_Mail_Address:
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