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  4. Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)

Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019)

Dates

Publication Date
Start Date
1985-01-01
End Date
2019-12-31

Citation

Pastick, N.J., Wylie, B.K., Rigge, M.B., Dahal, D., Boyte, S.P., Jones, M.O., Allred, B.W., Parajuli, S., and Wu, Z., 2021, Modelled long-term wildfire occurrence probabilities in sagebrush-dominated ecosystems in the western US (1985 to 2019): U.S. Geological Survey data release, https://doi.org/10.5066/P9ZN7BN8.

Summary

Exotic annual grasses are one of the most damaging biological stressors in western North America and increase the susceptibility of landscapes to wildfire occurrence. Here we couple estimates of long-term rangeland component fractions (e.g. exotic annual grasses) with remote sensing, climate data, and machine learning techniques to estimate the long-term (1985 to 2019) probability of wildfire occurrence (30-m spatial resolution) in sagebrush-dominated landscapes of the western United States.

Contacts

Point of Contact :
Neal J Pastick, KBR Inc
Originator :
Neal J Pastick, Bruce K Wylie, Matthew B Rigge, Devendra Dahal, Stephen Boyte, Matthew Jones, Brady W Allred, Sujan Parajuli, Zhuoting Wu
Metadata Contact :
Neal J Pastick, KBR Inc
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Earth Resources Observation and Science (EROS) Center
USGS Mission Area :
Ecosystems

Attached Files

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Extension: LT_Wildfire_Prob_85to19_v1-0.zip
LT_Wildfire_Prob_85to19_v1-0.xml
Original FGDC Metadata
View 		19.02 KB
LT_Wildfire_Prob_85to19_v1-0.tif 449.23 MB
LT_Wildfire_Prob_85to19_v1-0.tif-ColorRamp.SLD 2.01 KB

Purpose

These data were generated to assess long-term wildfire risk and the suitability of fuel breaks at regional scales.

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9ZN7BN8

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