Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters
April 20, 2023
The rasters in this dataset represent modeled outputs of potential fire connectivity and relative flow patterns in the Great Basin. We define ‘fire connectivity’ as the landscape’s capacity to facilitate fire transmission from one point on the landscape to another. We applied an omnidirectional circuit theory algorithm (Omniscape) to model fire connectivity in the Great Basin of the western United States. We used predicted rates of fire spread to approximate conductance and calculated current densities to identify connections among areas with high spread rates. We calculated the cumulative current density as well as normalized cumulative current density, with the outputs included here as raster data.
Citation Information
Publication Year | 2023 |
---|---|
Title | Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters |
DOI | 10.5066/P9EA3E00 |
Authors | Erin K Buchholtz, Jason R Kreitler |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | Fort Collins Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Assessing large landscape patterns of potential fire connectivity using circuit methods
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Assessing large landscape patterns of potential fire connectivity using circuit methods
ContextMinimizing negative impacts of wildfire is a major societal objective in fire-prone landscapes. Models of fire connectivity can aid in understanding and managing wildfires by analyzing potential fire spread and conductance patterns. We define ‘fire connectivity’ as the landscape’s capacity to facilitate fire transmission from one point on the landscape to another.ObjectivesOur objective was
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