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Predictive Model of Burn Severity (dNBR) 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 burn severity (dNBRPredict.tif) in the Mojave Desert based on models developed from data on the difference normalized burn ratio (dNBR) within perimeters of fires greater than 405 hectares that burned between 1984 to 2010. Raster resolution equals 30 meters, projection equals UTM Zone 11N.

Contacts

Attached Files

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Extension: dNBRPredictRF.zip
dNBRPredictRF.tif 570.45 MB
dNBRPredictRF.tif-ColorRamp.SLD 2.08 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
namedNBRPredictRF.tif
contentTypeimage/geotiff
pathOnDisk__disk__70/5a/70/705a707a1c06cb9146f917a7a5374b5fd9164786
size598158265
dateUploadedTue Aug 02 18:11:01 MDT 2022
checksum
valuea3464884162c652b62c4fac858a7a064
typeMD5
namedNBRPredictRF.tif-ColorRamp.SLD
contentTypeapplication/sld+xml
pathOnDisk__disk__c0/19/30/c019305b2e3542ed6ccc4906ecbfa17f98af6c49
imageWidth580
imageHeight435
size2126
dateUploadedTue Aug 02 18:11:42 MDT 2022
namedNBRPredictRF
nativeCrsEPSG:26911
rasterTypeGeoTIFF

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