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Publication Details

Title:
Datasets from the Programmatic Analysis of Fuel Treatments: from the landscape to the national level Joint Fire Science Project (14-5-01-1) Data publication contains GIS data
Author(s):
Rideout, Douglas B.; Wei, Yu; Kirsch, Andy G.; Brooks, Becky; Kernohan, Nicole J.; Magbual, Brianna
Publication Year:
2018
How to Cite:
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:
Rideout, Douglas B.; Wei, Yu; Kirsch, Andy G.; Brooks, Becky; Kernohan, Nicole J.; Magbual, Brianna. 2018. Datasets from the Programmatic Analysis of Fuel Treatments: from the landscape to the national level Joint Fire Science Project (14-5-01-1). Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2018-0007

NOTE: These data are generated as a result of a modeling effort and contain an inherent degree of error and uncertainty. Users of this data are advised to read the associated methodology in the final Joint Fire Science Report to ensure appropriate interpretation and applications of the data.
Abstract:
This data publication contains the collection of data assembled to address the ‘Fuels treatment effectiveness across landscapes’ question in Task 1 of the Joint Fire Science Program Project Announcement FA-FON 14-5. The data specifically address the 'Programmatic scale' portion of the question (https://www.firescience.gov/AFPs/14-1-01/14-1-01_FON_Announcement.pdf). The data consist of a collection of 240 meter rasters with an associated raster attribute table. Four different National Parks were used as study sites: Big Cypress National Preserve (BICY) in Florida, Glacier National Park (GLAC) in Montana, Shenandoah National Park (SHEN) in Virginia, and Sequoia and Kings Canyon National Parks (SEKI) in California. For each study site seven test scenarios were generated: a baseline analysis and the post-treatment results after six different fuel treatment budget alternatives have been applied to the landscape. These six fuel treatment budget alternatives included the current fuel treatment budget, a maximum value of 170% of the preparedness budget and increments of 20%, 40%, 60% and 80% of the maximum value. The current 2014 Preparedness budget and Fuel Treatment budget was provided by the National Park Service for each study site. The data were modeled using a spatial wildfire budget system known as STARFire. The inputs into the system and the associated outputs are contained within fields in the attribute tables. Included for each study site are individual rasters representing the fire affected resources for that study site. In addition, supplemental files such as the ArcPy python script for calculating the time since last fire and a file summarizing the wind and fuel moisture parameters used in the FlamMap runs for generating fire behavior inputs are also included.

Keywords:
economy; society; biota; Fire; Fire effects on environment; programmatic analysis; wildfire; fuels program; preparedness program; Joint Fire Science Program; JFSP; Sequoia and Kings Canyon National Parks; SEKI; Glacier National Park; GLAC; Big Cypress National Preserve; BICY; Shenandoah National Park; SHEN
Related publications:
  • Rideout, Douglas B.; Wei, Yu; Kirsch, Andy G.; Brooks, Becky; Kernohan, Nicole J.; Magbual, Brianna. Unpublished material. Final Report - Programmatic Analysis of Fuel Treatments: from the landscape to the national level. Joint Fire Science Program Final Report. Project ID:14-5-01-1. October 2017 (This file is also included in the data publication download: \Supplements\15-5-01-01.pdf). https://www.firescience.gov/projects/14-5-01-1/project/14-5-01-1_final_report.pdf
  • Wei, Yu; Rideout, Douglas B.; Kirsch, Andy G.; Kernohan, Nicole J. 2017. Science-based budgeting for national fire programs. WIT Transactions on Ecology and the Environment. 214:107-113. https://doi.org/10.2495/ECO170111
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