Classified Annualized Burn Probability within SEI classes GOA and Low RnR [U.S. Fish and Wildlife Service]
Department of the Interior
Full Details
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- Title
- Classified Annualized Burn Probability within SEI classes GOA and Low RnR [U.S. Fish and Wildlife Service]
- Description
- For millennia, wildfire has helped shape the sagebrush biome of the western United States. Over recent decades, historical fire regimes have been altered by several factors, including contemporary climate and fuel conditions, leading to the loss or degradation of hundreds of thousands of hectares (ha) of sagebrush each year. In response to wildfire threats, extensive fuel treatment investments are proposed across the region. To help inform strategic and cost-effective investments, we conducted a quantitative assessment of wildfire risk for the sagebrush biome. We used a geospatial fire modeling approach, customized for the sagebrush biome, to estimate spatially explicit burn probability and expected average annual area burned within three Sagebrush Ecological Integrity classes under the Sagebrush Conservation Design: Core Sagebrush Areas (CSAs), Growth Opportunity Areas (GOAs), and Other Rangeland Areas. We further used indices of ecological resilience to disturbance and resistance to invasive grasses to characterize fire risk and recovery potential. Our approach indicates that nearly 530,000 ha are likely to burn in a typical contemporary fire year across the highest integrity Sagebrush Ecological Integrity classes (7% in CSAs and 31% in GOAs). Of the CSAs and GOAs likely to burn, nearly 9000 and 66000 ha, respectively, are expected to have low resilience or resistance and therefore highest loss potential. Cost-effective conservation investments should include wildfire protection for high-integrity sagebrush with low resilience or resistance. Protection objectives may be met with strategically placed fuel breaks intended to enhance fire prevention and containment efforts. Fuel treatments, including prescribed fire and mechanical activities outside of fuel breaks, are by contrast best suited for high-integrity areas with relatively high resilience and resistance. Those activities should be risk-informed and intended to maintain or improve ecological integrity and resilience to wildfire rather than to exclude fire altogether.For ease of interpretation, we created a classed version of the continuous BP dataset using breaks that produced four categories similar to the R, R data: 1) low, 2) moderately low (mod-low), 3) moderate, and 4) moderately high to high (mod-high). The low probability class included values up to 0.0001, which represents a 1-in-10000 annualized probability of burning under contemporary conditions for its maximum pixel value. The maximum pixel values in the mod-low, moderate, mod-high, and high categories were 0.001, 0.01, 0.1, and 1, respectively, such that each represented a ten-fold increase in BP. However, the maximum BP value for the entire analysis area was 0.112, and there were very few pixels in the highest (>0.1) category—hence the reason that the moderately high and high classes were combined to form the mod-high class. These data were used to create Figure 3 B-D in Crist et al. 2024.
- Creator
- Department of the Interior
- Temporal Coverage
- Last modified 2025-05-29
- Date Issued
- 2025-05-08
- Rights
- The United States Fish and Wildlife Service (Service) shall not be held liable for improper or incorrect use of the data described and/or contained herein. While the Service makes every reasonable effort to ensure the accuracy and completeness of data provided for distribution, it may not have the necessary accuracy or completeness required for every possible intended use. The Service recommends that data users consult the associated metadata record to understand the quality and possible limitations of the data. The Service creates metadata records in accordance with the standards endorsed by the Federal Geographic Data Committee. As a result of the above considerations, the Service gives no warranty, expressed or implied, as to the accuracy, reliability, or completeness of the data. It is the responsibility of the data user to use the data in a manner consistent with the limitations of geospatial data in general and these data in particular. Although these data have been processed successfully on a computer system at the Service, no warranty, expressed or implied, is made regarding the utility of the data on another system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty. This applies to the use of the data both alone and in aggregate with other data and information.
- Access Rights
- Public
- Format
- Imagery
- Language
- English
- Date Added
- June 09, 2025
