Datasets from the Programmatic Analysis of Fuel Treatments: from the landscape to the national level Joint Fire Science Project (14-5-01-1)
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.<br>These data were collected to address the requirements of the 'Programmatic scale' question of Task 1 of the Joint Fire Science Program Project Announcement FA-FON 14-5.
| Main Authors: | , , , , , |
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| Format: | Dataset biblioteca |
| Published: |
2018
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| Subjects: | Environmental sciences, fuels program, Fire effects on environment, JFSP, wildfire, Joint Fire Science Program, society, Fire, programmatic analysis, biota, preparedness program, economy, |
| Online Access: | https://figshare.com/articles/dataset/Datasets_from_the_Programmatic_Analysis_of_Fuel_Treatments_from_the_landscape_to_the_national_level_Joint_Fire_Science_Project_14-5-01-1_/27007624 |
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| Summary: | 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.<br>These data were collected to address the requirements of the 'Programmatic scale' question of Task 1 of the Joint Fire Science Program Project Announcement FA-FON 14-5. |
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