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  3. Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters

Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters

Dates

Publication Date
Time Period
2019-12-31

Citation

Buchholtz, E.K., and Kreitler, J.R., 2023, Circuit-based potential fire connectivity and relative flow patterns in the Great Basin, United States, 270 meters: U.S. Geological Survey data release, https://doi.org/10.5066/P9EA3E00.

Summary

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.

Contacts

Point of Contact :
Erin K Buchholtz, U.S. Geological Survey, ECOSYSTEMS
Originator :
Erin K Buchholtz, Jason R Kreitler
Metadata Contact :
FORT Metadata Specialist
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Fort Collins Science Center
USGS Mission Area :
Ecosystems

Attached Files

Click on title to download individual files attached to this item.

fireconn_summary_metadata.xml
Original FGDC Metadata
View 		15.68 KB application/fgdc+xml
fireconn_omni_initialization_file.txt
“Omniscape initialization file” 		367 Bytes text/plain
fireconn_potentialconnectivity.zip
“Potential Fire Connectivity” 		24.58 MB application/zip
fireconn_relativeflow.zip
“Relative Flow Patterns” 		27 MB application/zip

Purpose

Minimizing 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. Our objective was to develop an approach for modeling fire connectivity patterns representing potential fire spread and relative flow across a broad landscape extent. This approach could be paired with traditional fire behavior and risk analyses to better understand wildfire spread and support for management actions that aim to disrupt fire spread and mitigate the costs of fire on the landscape.

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  • Fort Collins Science Center (FORT)
  • USGS Data Release Products

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Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9EA3E00

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