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Publication Details

Title:
Data for: Fuel treatment effectiveness in the context of landform, vegetation and large, wind-driven wildfires
Author(s):
Prichard, Susan J.; Povak, Nicholas A.; Kennedy, Maureen C.; Peterson, David W.
Publication Year:
2020
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:
Prichard, Susan J.; Povak, Nicholas A.; Kennedy, Maureen C.; Peterson, David W. 2020. Data for: Fuel treatment effectiveness in the context of landform, vegetation and large, wind-driven wildfires. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0003
Abstract:
This data publication represents source data and R scripts for a manuscript entitled "Fuel treatment effectiveness in the context of landform, vegetation and large, wind-driven wildfires" (Prichard et al. 2020). This study was conducted on the 2014 Carlton Complex study area in north-central Washington State. The R scripts include code needed to run the random forest analysis (RF), simultaneous autoregression (SAR) and final plots for the publication. The source data tables include 30-meter (m) resolution point datasets with location x and y representing UTM northing and easting locations, respectively, of every 30 m pixel within the Carlton Complex study areas (A = South, B = North), fire severity indices (dNBR, RBR, RdNBR) as response variables, and predictor variables including past fuel treatments, vegetation type, landform, and weather. Source predictor variables were taken from datasets that preceded the 2014 wildfires.

Keywords:
climatologyMeteorologyAtmosphere; Climate change; Climate change effects; Ecology, Ecosystems, & Environment; Landscape ecology; Fire; Fire ecology; Prescribed fire; fire severity; Joint Fire Science Program; JFSP; Washington
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