Skip to main content

Predictive Model of Probability of Ignition in the Mojave Desert

Dates

Publication Date
Start Date
1972
End Date
2010

Citation

Klinger, R.C., Underwood, E.C., McKinley, R., and Brooks, M.L., 2022, Fire regimes in the Mojave Desert (1972-2010): U.S. Geological Survey data release, https://doi.org/10.5066/P99YGHSJ.

Summary

This raster dataset represents spatially explicit predictions of probability of ignition in the Mojave Desert based on models developed from data on perimeters of fires greater than 405 hectares that burned between 1972 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.

Contacts

Attached Files

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

Extension: ProbIgnitPredict.zip
ProbIgnitPredict.tif 640.97 MB
ProbIgnitPredict.tif-ColorRamp.SLD 2.07 KB

Purpose

The extent and frequency of fire has increased in many arid systems over the last century, with a large proportion of area in some regions undergoing transitions to novel conditions. Portions of the Mojave Desert in southwestern North America have undergone such transitions, most often from woody to herbaceous-dominated systems. These transitions have often been attributed to the proliferation of invasive annual grasses that promote more frequent fire, but recent evidence indicates that transitions can also occur independent of fire frequency if burn severity is high. In addition, high probability of ignition (i.e. potentially high fire frequency) and high burn severity may not always be geographically related. Therefore, our goals were to: (1) map potential burn severity, fire frequency, and probability of ignition across the Mojave; and, (2) evaluate spatial association among predicted burn severity, fire frequency and probability of ignition. These data can be used in many ways, such as predicting vegetation states in sites that have the potential to burn at different frequencies and severities, examining fine scale spatial patterns in burn severity, and monitoring shifts in fire frequency across the Mojave ecoregion. But their most practical and useful application will be as planning tools for agencies responsible for fire management and postfire vegetation management in the Mojave.

Additional Information

Raster Extension

boundingBox
minY33.627085899943125
minX-118.85995836918704
maxY37.72098924786728
maxX-113.25174780485924
files
nameProbIgnitPredict.tif
contentTypeimage/geotiff
pathOnDisk__disk__53/81/d5/5381d5511afc0c3f3369885abe0be0231a3cf535
size672106354
dateUploadedTue Aug 02 18:57:37 MDT 2022
checksum
value8de46724cd64c87dde4ac3b3ac51222d
typeMD5
nameProbIgnitPredict.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__9d/5d/d6/9d5dd6bcee9d19639586e5b998f1ba72a6976759
size2120
dateUploadedTue Aug 02 18:57:54 MDT 2022
nameProbIgnitPredict
nativeCrsEPSG:26911
rasterTypeGeoTIFF

Item Actions

View Item as ...

Save Item as ...

View Item...